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Advances in Nonlinear Analysis

Editor-in-Chief: Radulescu, Vicentiu / Squassina, Marco

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On the well-posedness of a multiscale mathematical model for Lithium-ion batteries

J. Ildefonso DíazORCID iD: https://orcid.org/0000-0003-1730-9509
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  • Instituto de Matemática Interdisciplinar, Universidad Complutense de Madrid, Plaza de Ciencias, 3, 28040 Madrid; and Department of Applied Mathematics and Mathematical Analysis, Universidad Complutense de Madrid, Plaza de Ciencias, 3, 28040 Madrid, Spain
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/ David Gómez-CastroORCID iD: https://orcid.org/0000-0001-8360-3250
  • Instituto de Matemática Interdisciplinar, Universidad Complutense de Madrid, Plaza de Ciencias, 3, 28040 Madrid; and Departamento de Matemática Aplicada, Escuela Técnica Superior de Ingeniería – ICAI, Universidad Pontificia Comillas, C/ Alberto Aguilera, 25, 28015 Madrid, Spain
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/ Angel M. Ramos
  • Instituto de Matemática Interdisciplinar, Universidad Complutense de Madrid, Plaza de Ciencias, 3, 28040 Madrid; and Department of Applied Mathematics and Mathematical Analysis, Universidad Complutense de Madrid, Plaza de Ciencias, 3, 28040 Madrid, Spain
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Published Online: 2018-06-07 | DOI: https://doi.org/10.1515/anona-2018-0041


We consider the mathematical treatment of a system of nonlinear partial differential equations based on a model, proposed in 1972 by J. Newman, in which the coupling between the Lithium concentration, the phase potentials and temperature in the electrodes and the electrolyte of a Lithium battery cell is considered. After introducing some functional spaces well-adapted to our framework, we obtain some rigorous results showing the well-posedness of the system, first for some short time and then, by considering some hypothesis on the nonlinearities, globally in time. As far as we know, this is the first result in the literature proving existence in time of the full Newman model, which follows previous results by the third author in 2016 regarding a simplified case.

Keywords: Lithium-ion battery cell; multiscale mathematical model; Green operators; fixed point theory; Browder–Minty existence results; super and sub solutions

MSC 2010: 35M10; 35Q60; 35C15; 35B50; 35B60

1 Introduction

Let us suppose we have a mathematical system of differential equations involving, after a homogenization process (or other averaging methods), two different scales, that we may call macro and micro, for simplicity. A macro-scale domain is given by x(0,L), where different processes may occur in three relevant subintervals: (0,L1), (L1,L1+δ) and (L1+δ,L). At each point x(0,L1)(L1+δ,L) we consider that there is a micro-scale domain given by a sphere with radius R(x)>0. Different processes are modeled in each scale with differential equations, which are coupled at different levels, including boundary conditions.

Let us considered, motivated by the modeling of charge transport in Lithium batteries (as we will show below) the following (relatively) abstract framework (which can be generalized to other cases).

Our system has five unknowns functions: u(x,t), v(x;r,t), φ(x,t), ϕ(x,t) and θ(t) such that

  • u:(0,L)×(0,tend),

  • v:Ωδ×(0,tend),

  • φ:(0,L)×(0,tend),

  • ϕ:(0,L1)(L1+δ,L)×(0,tend),

  • θ:(0,tend),

where tend>0 and Ωδ={(x,r):x(0,L1)(L1+δ,L) and r[0,R(x)]}. These functions satisfy the following system of macro-scale equations:

{εut-1u=F1(x,u,v,φ,ϕ,θ)in (0,L)×(0,tend)with suitable boundary and initial conditions, and, for each t(0,tend),-2φ+3f(u)=F3(x,u,v,φ,ϕ,θ)in (0,L),-4ϕ=F4(x,u,v,φ,ϕ,θ)in (0,L1)(L1+δL)with suitable boundary conditions.     (1.1)

This system is coupled with the following system of micro-scale diffusion equation: For almost each point x(0,L1)(L1+δ,L),

{vt-1r2r(r2D2vr)=0in (0,R(x))×(0,tend),vr(x;0,)=0in (0,tend),-D2vr(x;R(x),)=F2(x,u,v,φ,ϕ,θ)in (0,tend),v(,0)=v0in (0,L).(1.2)

In the equations written above, 1 to 4 are second-order differential operators (which may also depend on x, u, v, φ, ϕ and θ), ε is a function depending on x(0,L) and f, F1, F2, F3 and F4 are real-valued functions.

Finally, we add the following initial value problem:


where the dependence of f on u,v,φ,ϕ may be global in space.

The question that arises is the following. Under which conditions can we prove existence and/or uniqueness of a local (in time) solution (u,v,φ,ϕ,θ) of equations (1.1)–(1.3) and under which conditions is it global in time?

We study here a particular interesting case arising in the modeling of Lithium batteries. Lithium-ion batteries are currently used extensively for storing electricity in mobile devices, from phones to cars. Nevertheless, they are still many drawbacks for them, as their reduced charge capacity, the long time needed to charge them, thermal runaways, etc. Therefore, an intensive research is being done in order to improve these devices. A good mathematical model of the transport mechanisms within batteries is very important in that research in order to understand the physics involved in the processes and to allow quick numerical experiments. But this models need to be well understood from a mathematical point of view, so that conclusions extracted from them are more rigorous. The well-posedness of the mathematical models being used is, therefore, one of the key points to be considered. This is, indeed, the goal of this paper.

In [31] a full model for Lithium ion batteries was presented, based on the well-known J. Newman model (see [27]), and partial results for the well-posedness were given. In this paper, we intend to complete those well-posedness results and study the regularity of the solutions. Let us write the complete system as presented in [31] but using in the electrolyte the electric potential measured by a reference Lithium electrode (φe) instead of its real electric potential. This is done because in electrochemical applications the potential in an electrolyte is typically measured by inserting a reference electrode of a pure compound, typically a Lithium electrode (see [7, 33, 35]). Local existence means that we are able to prove existence of solutions if the final time tend is “small enough”. In a special case, we will show that tend can be taken as large as wanted, making the existence of solutions global in time.

A typical Lithium-ion battery cell has three regions: a porous negative electrode, a porous positive electrode and an electro-blocking separator. Furthermore, the cell contains an electrolyte, which is a concentrated solution containing charged species that move along the cell in response to an electrochemical potential gradient.

Let L be the length of a cell of a battery, let L1 be the length of the negative electrode and let δ be the length of the separator. We assume the radius of an electrode particle to be Rs(x), with

Rs(x)={Rs,-if x(0,L1),Rs,+if x(L1+δ,L).(1.4)

A schematic representation of a cell is given in Figure 1.

Schematic representation of a battery. Dark gray disks represent negative electrode particles, light gray disksrepresent positive electrode particles, the dotted region represents the presence of electrolyte. On both sides of the cell the lined region represents the current collectors.
Figure 1

Schematic representation of a battery. Dark gray disks represent negative electrode particles, light gray disksrepresent positive electrode particles, the dotted region represents the presence of electrolyte. On both sides of the cell the lined region represents the current collectors.

The unknowns in the system of equations that we study are:

  • the concentration of Lithium ions in the electrolyte ce=ce(x,t) in every macroscopic point x(0,L),

  • the concentration of Lithium ions in the electrodes cs=cs(r,t;x), which for every macroscopic point x(0,L1)(L1+δ,L) is defined in a microscopic ball of radius Rs(x), with r indicating the distance to the center. We assume radial symmetry in the diffusion taking place in each particle. Therefore, we do not need to consider angular coordinates,

  • the electric potential ϕs=ϕs(x,t) in the electrodes,

  • the electric potential measured by a reference Lithium electrode in the electrolyte, φe=φe(x,t),

  • the temperature T(t) in the cell.

The system of equations is given by (1.5)–(1.9) below.

The transport of Lithium through the electrolyte can be modeled by the following macro-scale system of equations (conservation of Lithium in the electrolyte):

{cet-x(Decex)=αejLiin (0,L)×(0,tend),cex(0,t)=cex(L,t)=0,t(0,tend),ce(x,0)=ce,0(x),x(0,L),(1.5)

where jLi=jLi(x,ce(x,t),cs(Rs(x),t;x),φe(x,t),ϕs(x,t),T(t)) is the reaction current resulting from intercalation on Li into solid electrode particles and represents the Lithium flux between the electrodes and the electrolyte (which is a nonlinear function of all the variables, an expression that will be given later), De>0 is a diffusion function, αe>0 is constant and ce,0 is a known initial state.

The transport of Lithium through the electrodes can be modeled, at almost every macroscopic point x(0,L1)(L1+δ,L), by the following micro-scale system of equations (conservation of Lithium in the electrodes), written in radial coordinates due to the radial symmetry:

{cst-Dsr2r(r2csr)=0in (0,Rs(x))×(0,tend),csr(0,t;x)=0,t(0,tend),-Dscsr(Rs(x),t;x)=αs(x)jLi,t(0,tend),cs(r,0;x)=cs,0(r;x),r(0,Rs(x)),(1.6)

where Ds>0 is a diffusion coefficient and αs>0, both with a constant value in (0,L1) and another constant in (L1+δ,L). Furthermore, cs,0 is a radially symmetric initial state. Notice that problem (1.6) is written in spherical coordinates.

The electric potential in the electrodes, ϕs, and the electric potential measured by a reference Lithium electrode in the electrolyte, φe, can be modelled, for each t(0,tend), by the following equations expressing the conservation of charge in the electrolyte:

{-x(κφex)+αφeTx(κx(fφe(ce)))=jLiin (0,L),φex(0,t)=φex(L,t)=0,(1.7)

and the conservation of charge in the electrodes

{-x(σϕsx)=-jLiin (0,L1)(L1+δ,L),σ(0)ϕsx(0,t)=σ(L)ϕsx(L,t)=-I(t)A,ϕsx(L1,t)=ϕsx(L1+δ,t)=0,(1.8)

where κ=κ(ce,T), given by a function κ𝒞2((0,+)2), κ>0, and σL((0,L1)(L1+δ,L)) are conductivity coefficients (uniformly positive), αφe0 is a constant, fφe𝒞2(0,+), A is the cross-sectional area (also the correct collector area) and I, the input current, is a piecewise constant function defined for t[0,tendI]. Naturally, if the input current is defined up to a time tendI, then we can only expect to solve the system up to a time tendtendI.

Finally, we consider the temperature T=T(t) inside the battery, which we consider spatially constant. Its time evolution is given by


where αT is a positive constant, Tamb represents the ambient temperature, T00 is an initial known temperature and FT is a continuous functional that represents the effect of the other variables over T (an expression that will be given later). FT may depend of the values at time t of functions ce,cs,φe and ϕs locally or globally in space (see (1.18)–(1.22)).

In [31], instead of equations (1.5), (1.7) and (1.8) the author considers the equations

{εecet-x(Deεepcex)=αejLiin (0,L)×(0,tend),-x(εepκφex)+αφeTx(εepκx(fφe(ce)))=jLiin (0,L),-εsσϕsx2=-jLiin (0,L1)(L1+δ,L).

where εe>0 is constant in (0,L1),(L1,L1+δ),(L1+δ,L) and εs in (0,L1),(L1+δ,L). This general case, which is not in divergence form for ce and φe, introduces an extra level of difficulty we will not consider here. The same techniques we present in this paper apply to that case, but with the introduction of some additional technicalities (see, e.g., [16, 4] and the references therein). Here we have considered εe constant in (0,L), and therefore we can remove it by assimilating εep-1 in De, εe-1 in αe and εep in κ.

We simplify the domain notation by introducing the following sets:


In fact, we will consider Rs constant in both (0,L1) and (L1+δ,L) as in (1.4) (see Figure 2).

Domains Jδ{J_{\delta}} (spatial domain of definition of ce,φe,ϕs{c_{\mathrm{e}},\varphi_{\mathrm{e}},\phi_{\mathrm{s}}}) and Dδ{{{D_{\delta}}}} (spatial domain of definition of cs{c_{\mathrm{s}}}). Notice that, since we are using a radial coordinate, every segment {x}×[0,Rs⁢(x)]{\{x\}\times[{0,R_{\mathrm{s}}({x})}]} in Dδ{{{D_{\delta}}}} represents a ball {x}×BRs⁢(x){\{x\}\times B_{R_{\mathrm{s}}({x})}} in {x}×ℝ3{\{x\}\times\mathbb{R}^{3}}.
Figure 2

Domains Jδ (spatial domain of definition of ce,φe,ϕs) and Dδ (spatial domain of definition of cs). Notice that, since we are using a radial coordinate, every segment {x}×[0,Rs(x)] in Dδ represents a ball {x}×BRs(x) in {x}×3.

The analytical expression of jLi is given as follows: for (ce,cs,φe,ϕs,T)5,


where U is the open circuit potential and η the surface overpotential of the corresponding electrode reaction.

There is no common agreement on the structural assumptions of U. Some papers use a fitting function either polynomial [36] or exponential [6], whereas other authors propose an improved version with logarithmic behavior close to the limit cases [32, 35]. We will start working in a general framework, which contains as a particular important example the Butler–Volmer flux (see [27, 31, 35]), in which the functions are taken as


where δ1, δ2 are positive and constant in each electrode, cs,max is a constant that represents the maximum value of cs, and αa and αc (dimensionless constants) are anodic and cathodic coefficients, respectively, for an electrode reaction.

The function U was later proposed in [32] as


where α,β,γ are positive functions in L(Jδ) and p is a smooth bounded function.

The following particular choice of FT can be considered (see, e.g., [31]):


where ln is the natural logarithm and Rf is the film resistance of the electrodes.

We point out that T has been assumed to be uniform across the whole cell. Nonetheless, a more complete model (specially one dealing with temperature blow-up) with a heat diffusion equation could be used. The study of blow-up in this type of equations has been largely studied (see, for example, [2, 12]).

By using this model, the voltage at time t of the cell can be estimated (see [31]) as


The model, as written above, presents a number of difficulties: pseudo-two-dimensional (P2D) model, elliptic equations coupled with parabolic equations, discontinuities in space of some of the involved functions, the fact that jLi is not smooth and not monotone, etc. As far as we know, there is no proof in the literature of the global existence of solution before this work.

In order to state the results, we will introduce the following definitions, which we introduce as a mathematical tool:


Notice that cs,B represents the only values of cs that affect jLi and φe,Li is the solution of

{-x(κφe,Lix)=jLiin (0,L),κφe,Lix=0at {0,L},(1.25)

which is a system simpler than (1.7).

First we will state four general results for a large class of functions jLi, regarding the local in time existence of solutions of the general abstract problem and their maximal extension in time. Although the detailed expression of the assumptions are only given in the next section the reader can be aware now of the different nature of our mathematical results.

Theorem 1 (Well-posedness with general flux and nature of the possible blow-up).

Let Assumptions 2.12.3 and 2.5 hold. Then, if tend is small enough, there exists a unique weak-mild solution by parts of (1.5)–(1.9) (in the sense of Definition 2.9 and satisfying Assumption 2.13). Moveover, there exists a unique maximal extension defined for t[0,tend), where tend is some constant tendtendI. If tend<tendI, then one the following conditions holds as ttend:


We remark that without Assumption 2.13 existence for potentials φe,ϕs can only be established up to a constant (as expected).

In the particular case of jLi being the Butler–Volmer flux, given by (1.10)–(1.17), under some physically reasonable hypothesis on the parameters (see Assumptions 2.19, 2.20, 2.21, 2.24 below), we will prove a general existence result, and characterize the nature of possible blow-up. It states that, under reasonable extra conditions, the non-physical obstructions for well-posedness cs,B0,cs,max or ce0,+ that appear in Theorem 1, are not the cause of the blow-up behavior of local solutions.

Theorem 2 (Well-posedness for the Butler–Volmer flux and nature of the possible blow-up).

Let us suppose that Assumptions 2.1, 2.2, 2.5, 2.19, 2.20, 2.21 and 2.24 hold. Then, if tend is small enough, there exists a unique weak-mild solution by parts of (1.5)–(1.9) (in the sense of Definition 2.9 and satisfying Assumption 2.13). This solution admits a unique maximal extension in time with tendtendI. Moveover, if tend<tendI then, as ttend either



0<cs<cs,max𝑎𝑛𝑑ce>0for all 0t<tend.

In the last part of this paper (see Section 2.6), we give an ad hoc modification of the system for which we can state a global existence theorem by removing, in two steps, the impediments to global existence of solutions given by (1.27). Actually, since the blow-up conditions (1.27) do not correspond to the physical intuition, it is likely that the solutions do not, in fact, develop this kind of behavior.

In a first stage we will find a bound for the flux with respect to ϕs-φe,Li, and show:

Theorem 3 (Blow up behavior when jLi is bounded with respect to ϕs-φe,Li).

Let Assumptions 2.1, 2.2, 2.5, 2.19, 2.20, 2.24 and 2.27 hold. Then, if tend is small enough, there exists a unique weak-mild solution by parts of (1.5)–(1.9) (in the sense of Definition 2.9 and satisfying Assumption 2.13). This solution admits a unique maximal extension in time with tendtendI. If tend<tendI, then as ttend either


Finally, by assuming some additional conditions (see Assumptions 2.27 and 2.29), we will obtain a bound for the temperature T and prove what can be considered a first global existence result in the literature for this system:

Theorem 4 (Global existence in a modified case).

Let Assumptions 2.1, 2.2, 2.5, 2.19, 2.20, 2.24, 2.27 and 2.29 hold. Then there exists a unique weak-mild solution by parts of (1.5)–(1.9), defined for t[0,tendI] (in the sense of Definition 2.8 and satisfying Assumption 2.13).

2 Mathematical framework

2.1 Regularity assumptions of the nonlinear terms and initial data

Our most general formulation in this paper concerns the case of considering the following regularity conditions on the data:

Assumption 2.1.

Let us assume the data:


where 𝒞part denotes the set of piecewise continuous functions

𝒞part([a,b])={f:[a,b]:there exist a=t0<t1<<tN=b such that f𝒞([ti-1,ti])}.(2.1)

Notice that this implies that the lateral limits f(ti±) exist, but need not coincide.

Assumption 2.2.

We have DeL(0,L), κ𝒞2((0,+)2), σL(Jδ), DeDe,0>0, κκ0>0, σσ0>0 and fφe𝒞2((0,+)).

The key ingredient of our approach is to choose some suitable convex subsets of some appropriate functional spaces. The choice of spaces well adapted to the system is a delicate matter, and errors or loose approaches to this might result in incorrect results (for an explanation of this philosophy see, e.g., [9]). Let us define the following open convex sets where we expect to find the solutions:

X=H1(0,L)×𝒞(Jδ¯)×,KX={(ce,cs,B,T)X:ce>0, 0<cs,B<cs,max,T>0},Y=L(0,L)×𝒞(Jδ¯)×,Z=H1(0,L)×𝒞(Jδ¯)×H1(0,L)×H1(Jδ)×,KZ={(ce,cs,B,φe,ϕs,T)Z:(ce,cs,B,T)KX},

where H1(a,b) is the usual Sobolev space over the interval (a,b) (see, e.g., [10, 30]). It is important to point out that H1(a,b)𝒞([a,b]). Finally, we define


the natural space in which we will look for the pair (φe,ϕs).

Instead of narrowly focusing on (1.12)–(1.16), we shall state an assumption (sufficient to prove Theorem 1) satisfied by a broader family of functions:

Assumption 2.3.

For the flux function we assume


such that


for all (x,ce,cs,T,η)Jδ×(0,+)×(0,cs,max)×(0,+)×.

Remark 2.4.

In particular, it follows from Assumption 2.3 (in particular due to (2.2) and (2.4) applying the Mean Value Theorem) that there exists a positive continuous function FLi satisfying


for all xJδ,ce>0,cs(0,cs,max),T>0 and η,η^.

Finally, on the temperature term FT we will require the following:

Assumption 2.5.

We have FT𝒞1(KZ;) (in the sense of the Fréchet derivative).

2.2 Definition of weak solution

We introduce the natural space for radial solutions

Hr1(0,R)={u:(0,R) measurable such that u(r)r,u(r)rL2(0,R)}

with the norm


and the space

L2(Jδ;Hr1(0,Rs()))={u:Dδ measurable such that 0Lu(x,)Hr1(0,Rs(x))2dx<+}.

Remark 2.6.

Even though we will always present the variables as (x,t), or (r,t;x), it will sometimes be mathematically advantageous to consider maps t[0,t0]u(,t)X, where X will be a space of spatial functions, in which we will use the notations 𝒞([0,t0];X) or L2(0,t0;X), depending on the regularity.

Definition 2.7.

We define a weak solution of (1.5)–(1.9) as a quintuplet


such that


for all ηe𝒟([0,tend))={f𝒞([0,tend)):suppf[0,tend) is compact} (see [25, 30]) and ψeH1(0,L). For a.e. xJδ,


for all ηs𝒟([0,tend)) and ΨsHr1(0,Rs(x)) radially symmetric. For every t(0,tend),

0Lκφexdψedxdx-JδjLiψedx=0LκαφeTx(fφe(ce))dψedxdxfor all ψeH1(0,L)(2.6)Jδσϕsxdψsdxdx+JδjLiψsdx=I(t)A(ψs(0)-ψs(L))for all ψsH1(Jδ)(2.7)



2.3 Definition of weak-mild solution

Dealing directly with the weak formulation is technically very difficult. On the other hand, solutions in the classical sense (having all the necessary derivatives) may not exist. There is an intermediate type of solutions, known as “mild solutions”. As a general rule (and in particular this applies to our problem), any classical solution is a mild solution and any mild solution is a weak solution.

Let us introduce this kind of solutions in the simplest case: the heat equation. Consider the problem

{ut-Δu=fin Ω×(0,tend),u=0on Ω×(0,tend),u(,0)=u0in Ω,(2.8)

in a bounded, smooth domain ΩN. Let u0L2(Ω) and fL2((0,tend)×Ω). One can construct, as an intermediate step, the solution of the problem

{vt-Δv=0in Ω×(0,tend),v=0on Ω×(0,tend),v(,0)=u0in Ω,(2.9)

by considering the decomposition of L2(Ω) in terms of eigenfunctions of -Δ. Let us write the unique solution of (2.9) as v(t)=S(t)u0. The operator S(t) is a semigroup (see [10]), and has some interesting properties we will not discuss. A solution u of problem the non-homogeneous problem (2.8) can be written, for every t[0,tend], as


This kind of solution is known as a “mild solution”. As in [17], one can define the “Green operator” for problem (2.8) as the function


In our problem we will need to work with a suitable Green operator associated to each of the equations. Assuming Assumptions 2.2, we will define several Green operators.

For any t0>0 we define (see [20]):


as the solution of the problem


For system (1.6) we will need to do some extra work due to the fact that the equation is only “pseudo-two-dimensional”. First we define the solution of problem (1.6) for every x fixed,


by solving the corresponding problem


The next step is to consider the dependence on x. Therefore, we construct the Green operator associated to problem (1.6) collecting all xJδ:


given by


Finally, we consider the Green operator for system (1.9) as the function


defined as


This operator is well defined and of class 𝒞1 due to Assumption 2.5. It will be useful to introduce the following Nemistkij operators:


It is well known (see, e.g., [21]) that these operators are locally Lipschitz continuous and 𝒞1 (in the sense of the Fréchet derivative), properties that will be used in the proof of Theorem 1, due to the regularity of the elements of the composition (i.e. (2.2) and (2.3)).

Definition 2.8 (Weak-mild solution).

We define a “weak-mild solution of problem (1.5)–(1.9)” as a quintuplet (ce,cs,φe,ϕs,T)C([0,tend);KZ) such that there exists 0<tendtendI for which:

  • (1)

    (φe,ϕs) is a weak solutions of system (1.7)–(1.8) for the functions ce,cs,T given in the quintuplet, in the sense that, for every t[0,tend) the weak formulations (2.6) and (2.7) hold.

  • (2)

    (ce,cs,T) is a mild solutions of system (1.5), (1.6), (1.9) for the functions φe, ϕs given in the quintuplet, in the sense that for every t0<tend,


Definition 2.9 (Piecewise weak-mild solution).

We define a “piecewise weak-mild solution” as a quintuplet (ce,cs,φe,ϕs,T) such that there exists a partition {t0,,tN} of [0,tend] such that in each interval [ti,ti+1], (ce,cs,φe,ϕs,T) is a weak-mild solution in the previous sense, with (ce,cs,T)(ti) as initial condition in the interval [ti,ti+1].

Remark 2.10.

It is well known that for problems of type (2.8), any piecewise weak-mild solution is a weak solution.

Definition 2.11.

Given a solution (in any of the previous senses) (ce,cs,φe,ϕs,T)𝒞([0,a),KZ), we say that (c~e,c~s,φ~e,ϕ~s,T~)𝒞([0,b),KZ) is an “extension” of (ce,cs,φe,ϕs,T) if it is also a solution (in the same sense), ba and


We say that the extension is “proper” if b>a. We say that an extension is “maximal” if it does not admit a proper extension.

Notice that the contribution of cs can be studied, basically, as a one-dimensional behavior on Jδ. More precisely, we consider the Green operator on the boundary of the balls BRs(x), which we will show that contains all the necessary information




In this sense we can rewrite (2.10) in terms of the restriction cs,B, instead of cs, as follows:

Proposition 2.12.

In Definitions 2.9 and 2.11, condition (2.10) is equivalent to the following property:


such that



It is trivial that (2.10) implies (2.11). Let us consider a quintuplet (ce,cs,B,φe,ϕs,T) that satisfies (2.11). Let us construct a solution (ce,cs,φe,ϕs,T) of (1.5)–(1.9) in the sense of Definition 2.8. Define, for any t0<tend,


Define cs(x,r,t) to be the solution, for every xJδ, of the problem


Since cs=cs,B on BRs(x), due to (2.12), we have


Furthermore, since cs,B=(Gcs,t0jLi~)|R=Rs(x), it follows that cs and Gcs,t0jLi~ are solutions of the same parabolic problem (2.13) and, by the uniqueness of the solutions,


Therefore, (ce,cs,φe,ϕs,T) is a solution of (1.5)–(1.9) in the sense of Definition 2.8, up to time t0, which can be arbitrarily close to tend. ∎

2.4 Assumptions and results regarding Theorem 1

It was first shown in [31] that the uniqueness of solutions (φe,ϕs) of system (1.7)–(1.8) holds up to a constant relating the difference between φe and ϕs. To avoid this, we set the following assumption:

Assumption 2.13.

As in (1.24), we define


and assume that


This can be done because (φe,ϕs) is defined up to a constant.

Remark 2.14.

We recall that 𝒞([a,b])H1(a,b). Thus, since 0<ceH1(a,b), we have min[0,L]ce>0, so fφe(ce)H1(0,L).

Remark 2.15.

Another alternative to get the uniqueness of solution is to use the condition ϕs|x=0=0, instead of (2.15), setting the value 0 of the potential in one of the walls.

The idea of the proof of Theorem 1 (which is done in Section 5) is the following. First we will show (see Proposition 2.16 and its proof in Section 3) that we can solve (1.7) and (1.8) to obtain (φe,ϕs) if cs,ce,T are given, extending to the nonlinear case the study for the linearized equation proved in [31]. Then we will apply a fixed point argument to the evolution problems (1.5), (1.6) and (1.9) to obtain the conclusion.

Proposition 2.16.

Let (ce,cs,B,T)KX, IR and let Assumptions 2.22.3 hold. Then there exist φeH1(0,L) and ϕsH1(Jδ) satisfying the elliptic equations (1.7) and (1.8) in the weak sense (2.6) and (2.7). Furthermore, given two solutions (φe,ϕs),(φ^e,ϕ^s), there exists a constant CR such that


Hence we have uniqueness up to a constant. In particular, there exists a unique solution (φe,ϕs) satisfying Assumption 2.13.

Due to this proposition we know that the following functions are well defined:


where (φe,ϕs)H1(0,L)×H1(Jδ) is the (unique) solution of (2.6)–(2.7) satisfying (2.15). Assuming now that I is a continuous function, i.e. I𝒞([0,tendI]), we define the Green operator, for t0<tendI,




In Section 3 we will prove that:

Proposition 2.17.

Let Assumptions 2.22.3 hold. Then the operator G~ϕ:KX×RKZ is C1 (in the sense of the Fréchet derivative).

Remark 2.18.

Since we will allow for charge and discharge cycles, we allow for I to be piecewise continuous, and this is why we define the piecewise weak-mild solution (see Definition 2.9).

The proof of the local existence of solutions will be based on finding a unique fixed point, in 𝒞([0,t0];KX) for t0 small enough, of the operator problem


2.5 Assumptions and remarks regarding Theorem 2

In Theorem 1 one of the reasons of a finite existence time could be that cs,B0,cs,max or ce0. This conditions do not, a priori, pose a relevant physical problem since the battery may very well be completely full or empty. However, the generality of our setting allows for no better statement. Let us study the case which seems to be the most relevant for the modeling of Lithium-ion batteries by considering new assumptions.

Assumption 2.19.

There exists a constant κ1 such that κ(ce,T)κ1 and fφe()=ln().

Assumption 2.20.

We have cs,max<1 in the units considered to solve the problem.

This is purely technical, but it seems reasonable since, in empirical cases in the literature, one typically has cs,max10-2molcm-3. In particular, in [36] the authors take cs,max=1.6×10-2molcm-3.

Let us consider the following special nonlinear terms (which, for a broader generality, include some extra constants with respect to (1.12)–(1.16)), which we will take as assumption in Theorem 2.

Assumption 2.21.

We assume that


where αa,αs,βa(0,1), γ1,γ2>0 and δ1(x),δ2(x)>0 are constant in each electrode. Notice that γ1,γ2 are constant but not dimensionless. Furthermore, we consider U slightly more general than in (1.17):


where λmin,λmax,μ are given smooth nonnegative scalar functions and p is a continuous bounded function [0,+)×[0,cs,max]×(0,+) with global bound denoted by pL (Figure 3 shows a typical graph of U).

Remark 2.22.

It is a routine matter to check that this j¯Li satisfies Assumption 2.3.

Possible representation of U.
Figure 3

Possible representation of U.

Remark 2.23.

Under Assumption 2.21 we can write j¯Li(x,ce,cs,T,η(x,ce,cs,φe,ϕs,T))=j¯+Li-j¯-Li, where


Substituting (2.18) into (2.19)–(2.20), we have


On the exponents we will consider the following assumption (see Remark 2.26):

Assumption 2.24.

For all T>0 and x[0,L],


Remark 2.25.

Notice that conditions (2.23)–(2.26) can be also written as


Theorem 2 gives a sufficient condition so that, under the structural consideration of a potential U similar to the one considered by Ramos–Please [32], should there be a blow-up of the solution, this is not caused by the non-physical behavior ce0,+ or cs0,cs,max as ttend. Remark 2.26 gives an intuition of why this happens. On the other hand, if this conditions are not satisfied, then the toy models (2.27)–(2.28) suggest that if the sufficient conditions in Theorem 2 are not satisfied, then it could happen that ce0,+ or cs0,cs,max. The suggestion of the potential in Ramos and Please [32] was motivated by physical consideration, and not by the mathematical theory. Nonetheless, this seems to be the exact right structure for the mathematical theory. This is a notion of robustness to this proposal.

Considering the parameters used by some authors (see, e.g., [36])


(where α^a,α^c are non-dimensional charge transfer coefficients, F is the Faraday’s constant and R is the universal gas constant), we have


Considering (1.17), as in [32], we have


So Assumption 2.24 translates into


Remark 2.26.

It is well known that equations of the form


with q<1 can have a solution u0 such that {x(0,L):u(x,t)=0} has positive measure for all time t after an initial time t0. These regions are known as “dead cores” and a detailed analysis of this phenomenon can be found, for instance, in [14, 15]. On the other hand, if we study the equation


we see that, if q>1, then the solution can blow up u+ for a finite time, whereas there is no blow-up if q1. As we will see in the proof of Theorem 2, we can bound ce and cs by solutions of problems of type (2.27), where conditions (2.23)–(2.26) define the exponents q appearing in (2.27) and (2.28). Taking into account these results, it seems that, if these conditions are not satisfied, it is likely that the solutions ce or cs reach 0 in finite time, which is a non-physical behavior.

2.6 Assumptions and remarks regarding Theorems 3 and 4

Tackling an example of global existence of solutions for the model seems to be a Herculean mission. However, if we assume some nicer behavior of the nonlinear term U, at least far from the natural “working” conditions of the system, then we can establish a result of global existence of solutions.

2.6.1 Truncated potential behavior

In this subsection we strive to make some small modifications to the problem so that we can show that the charge potentials do not blow up in finite time. First let us assume that for large difference of potentials the flux is constant. We slightly modify (2.21)–(2.22) to the following new hypothesis:

Assumption 2.27.

Let j¯Li(x,ce,cs,T,η(x,ce,cs,φe,ϕs,T))=j¯+Li-j¯-Li, where


and H is a bounded smooth cut-off function of the exponential:


where s is an arbitrarily large but fixed cut-off value, and ζ is such that ζ>0.

Remark 2.28.

Notice that (2.29)–(2.30) is (2.21)–(2.22) when H(s)=exp(s).

This modification allows us to prove Theorem 3 (see Section 7.1).

2.6.2 Truncated temperature behavior

Due to the delicate interconnectedness of the different terms in FT, it is too difficult to prove a global existence theorem. Nonetheless, since many authors consider that the temperature is constant in the cell (see [13, 18, 33]), we will allow ourselves a substantial simplification on the structural assumption for FT, in order to obtain the global uniqueness result avoiding the appearance of possible blow-up phenomena, which are related with the potential of Lithium batteries for thermal runaway and explosion under high temperature operation (see [36]).

Assumption 2.29.

Assume that FT is linear in T, i.e.


and consider that BT is a nonnegative bounded function BT[0,B¯T] and that AT is bounded AT[A¯T,A¯T], where B¯T,A¯T,B¯T are constant numbers.

This assumptions allow us to prove the result of global existence of solutions given in Theorem 4 (see Section 7.2).

Remark 2.30.

The case FT0 is a particular case satisfying Assumptions 2.29, including the case of T just following Newton’s law of cooling (if αT0) or TT0, constant temperature (if αT=0).

3 Green operator for the semilinear elliptic system (1.7)–(1.8). Proof of Propositions 2.16 and 2.17

The idea of the proof of Proposition 2.16 is to follow the idea for “low overpotentials” in [31], but replacing Lax–Milgram’s theorem by the Brézis theory of “pseudo-monotone operators” (see [8]). Under some special assumptions, this result is sometimes referred to as Minty–Browder’s theorem [26, 11] (see, e.g., [34]). Uniqueness up to a constant was already proved in [31].

Let us define, for a given (ce,cs,B,T)KX, the following function:


which corresponds to η|ϕs-φe,Li=0. Since (ce,cs,B,T) is known, we can define, for x[0,L] and Φ,


Notice that


We also define


which corresponds to jLi|ϕs-φe,Li=0.

Remark 3.1.

Given (ce,cs,B,T)KX, due to (2.2) and (2.3) we have j0LiL(0,L)𝒞(J¯δ).

Proof of Proposition 2.16.

We rewrite (2.6)–(2.7) in terms of φe,Li, defining κ~(x)=κ(ce(x),T)𝒞([0,L]), as


Adding both equations, we obtain that (2.6)–(2.7) is equivalent to


Let us define, for x[0,L] and Φ,


Notice that jLi^(x,0)=0. We can rewrite (3.2) as


Let us define the operator A1:XΦXϕ* by


Since H1(Jδ)𝒞(Jδ¯) and (φe,Li,ϕs)XϕjLi^(x,ϕs-φe,Li)𝒞(Jδ¯) is bounded and continuous (due to (2.2) and (2.3)), it follows that the operator A1:XϕXϕ* is bounded continuous. Furthermore, applying (3.1), (3.3) and Remark 2.4 (due to Assumption 2.3), we can show that A1 is a monotone operator since, for all (φe,Li,ϕs),(φ~e,Li,ϕ~s)Xϕ, we have that


for all (φe,Li,ϕs),(ψe,ψs)Xϕ, due to (2.5) (which is true due to Assumption 2.3), where


Therefore, for all (ψe,ψs)Xϕ,




Let the operator 𝒜:XϕXϕ* be defined by


Then 𝒜 is a bounded, continuous, monotone operator. Moreover, it is coercive due to the Poincaré–Wirtinger inequality φe,LiL2(0,L)Cφe,LiL2(0,L) and inequality (3.4). Hence, there exists a unique solution of system (1.7)–(1.8), due to the Minty–Browder theorem. ∎

Remark 3.2.

Of course, if (φe,ϕs) is a solution of system (1.7)–(1.8) and C is a constant, then (φe+C,ϕs+C) is also a solution. However, there exists only one solution in Xϕ.

Remark 3.3.

The main part of the proof above was to apply the monotonicity of jLi with respect to ϕs-φe,Li. The idea behind this monotonicity method has to do with the convexity of the associated energy functional.

We have so far proved that the map Gϕ given by (2.16) is well defined. We prove now, applying the Implicit Function Theorem, that this map is 𝒞1.

Proof of Proposition 2.17.

We will apply the Implicit Function Theorem for the Banach space-valued mapping F:X^×Y^Z^, to solve for an operator G^ϕ:UX^Y^ in an expression of the form

F(x^,G^ϕ(x^))=0for all x^U.(3.5)

The choice of functional spaces will be



𝒞>κ0([0,L])={κ~𝒞([0,L]):κ~>κ0}for some κ0>0.

We will then check that


due to the definition of φe,Li (see (2.14)). Notice that X^ is an open set of a Banach space, and therefore we can consider the Implicit Function Theorem (see, e.g., [24]) in this setting. We will use the notation


We consider the maps A1,A2,A3,A4:X^×Y^Z^, given by


Our definition of weak solution is precisely


The function A4 is linear and continuous, therefore C. It is automatic to see that


On the other hand, A1,A2 are multilinear and continuous, and therefore of class 𝒞1. In particular, for y^=(u,v),y^¯=(u¯,v¯)XΦ we have


Since j¯Liη is of class C1 (see (2.2) in Assumption 2.3), so is A3 and


where, for xJδ,


Let x^0=(κ~,ce,cs,B,T)X^, and let y^0=(u0,v0)=(φe,Li,ϕs)Xϕ be the solution found in Proposition 2.16. Then g(x)>0 is in 𝒞(J¯δ). Therefore, there exists a constant g0 such that g(x)g0>0 in Jδ. Then


understood as a bilinear form


is continuous and coercive in Xϕ×Xϕ. Therefore, by Lax–Milgram’s theorem D(u,v)F(x^0,y^0) is bijective. Then, by the Implicit Function Theorem applied to F, there exists a unique C1 function G^ϕ:UXϕ, defined in a neighborhood U of x^0 in X^, such that (3.5) holds.

Since (ce,T)H1(0,L)×κ(ce,T)𝒞([0,L]) is also 𝒞1 (the function κ is of class 𝒞2 due to Assumption 2.2), we have that the map


is C1. Let us choose a point (ce0,cs,B0,T0,I0)KX×, and let x^0=(κ(ce0,T0),I0,ce0,cs,B0,T0)X^. Let UX^ be a suitable neighborhood of x^0 so that G^ϕ:UXϕ is defined satisfying (3.5). Taking the neighborhood of (ce0,cs,B0,T0,I0) given by V=J-1(U)KX×, the composition


is 𝒞1. We finally consider the following translation (which is also of class 𝒞1):


Due to the uniqueness (up to a constant) result we proved in Proposition 2.16,


is the map Gϕ|V (as constructed in (2.16) through Proposition 2.16). Thus, Gϕ is of class C1 in a neighborhood of (ce0,cs,B0,T0,I0). Since this argument holds over any point (ce0,cs,B0,T0,I0)KX×, we have shown that Gϕ is of class 𝒞1 over KX×. This implies that G~ϕ is also 𝒞1 and it concludes the proof. ∎

Therefore, as an immediate consequence of Proposition 2.17, we have the following lemma in terms of the space of piecewise continuous functions 𝒞part defined by (2.1):

Lemma 3.4.

Let IC([0,t0]). Then the operator G~ϕ,t:C([0,t0],KX)C([0,t0],KZ) is locally Lipschitz continuous. If ICpart([0,t0]), then G~ϕ,t:C([0,t0],KX)Cpart([0,t0],KZ) is locally Lipschitz continuous.

4 Regularity of the Green operators Gce,t and Gcs,B,t

The regularity of Gce,t is a well-known property:


This operator has a nice representation formula


where S(t)u0 is the solution of

{ut-x(Decex)=0in (0,L)×,ux=0in {0,L}×,u(0)=u0,t=0.

A number of properties can easily be derived from this expression. For instance, the continuous dependence with respect to the data:


where ρ is an increasing, continuous function such that ρ(0)=0.

The term Gcs,B,t is a little trickier. First we recall (see [3, 28]) that, for any q>2,




Therefore, due to the linearity of the equation, for x,y in the same connected component of Jδ, we have


This solves the problem of continuity of Gcsg with respect to x via the continuous dependence of the operator. Since cs,0 is continuous, working in each component we can prove directly that


is Lipschitz continuous. Furthermore, it is easy to check that


We also have the following time estimate, for t00,


By defining the vectorial Green operator for the evolutionary part


due to the previous results, we have


where ρ is a continuous function such that ρ(0)=0.

5 Proof of Theorem 1

First, let us assume that I is continuous. Let us define the function


It is clear that 𝐟:KXY is locally Lipschitz continuous (due to the definition and regularity of NjLi and FT). Let us define, for any t>0,


by 𝐟t(𝐱)(s)=𝐟(𝐱(s)) for s[0,t]. This operator is also locally Lipschitz continuous. Let 𝐱=(ce,cs,B,T). Then we can rewrite the fixed point problem (2.11) (which was our definition of a weak-mild solution of (1.5)–(1.9)) as


Since 𝐟tG~ϕ,t:𝒞([0,t0],KX)𝒞([0,t0],Y) is locally Lipschitz continuous (due to Lemma 3.4), we can set a bounded neighborhood 𝐔KX around 𝐱(0)=(ce(0),cs,B(0),T(0))KX and a bounded set 𝐕Y such that the composition


is globally Lipschitz continuous. Due to the continuity of 𝐆t and the fact that 𝐆0𝐱(0)KX, there exists t1>0 such that


Therefore, due to (4.1), we obtain that, for t2=min{t0,t1}>0,


is a contracting map. Then we can apply the Banach Fixed Point Theorem to find a unique solution of problem (5.1). If I is 𝒞part, then one can simply paste the mild solutions from the different time partitions. In this sense there exists a unique “piecewise weak-mild solution”.

By applying classical results, there exists a maximal existence time tendtendI. If tend<tendI, then we have d(𝐱(t),KX)0 or 𝐱(t)X+ as ttend. This is equivalent to (1.26) and the proof is complete.

6 Proof of Theorem 2

There are a number of papers studying the semilinear equation ut-Δu=f(u) with Robin-type boundary conditions, and its eventual possible blow-up, depending on the growth of f. Some of the most classical results are due to Amann [1] (for some more recent works, see e.g., [29]).

Let us assume that the solution (ce,cs,B,φe,ϕs,T) is defined in [0,t0), where 0<t0<tendI, and assume that (1.27) does not hold as tt0. We will show that (1.26) does not hold, and therefore tend>t0. We can think of the problem written in the following way:


where C1 and C2 are functions which we will show can be estimated. We can define


Notice that, since cs,max<1, we can conclude that 0C1,C2C¯1. Finally, we can define some increasing continuous functions β1,β2 such that β1(0)=β2(0)=0, with β2 Lipschitz continuous and


so that we can construct the supersolution c¯e and subsolution ce¯ defined as solutions, respectively, of


Using the conditions on the exponents given by Assumption 2.24, we deduce that c¯e,ce¯ are continuous, globally defined in time and


We also have that


where C3 is a suitable function, such that if we define


then 0C3C¯3. Now, let β3 be a monotone increasing locally Lipschitz continuous function such that β3(0)=0 and


We construct the subsolution cs¯, for every t0<+, as the solution of


so that, by the comparison principle, we have that 0<cs¯cs (by applying Assumptions 2.24). Finally, if we write


since 0C4C¯3, if we introduce


and define β4 as a monotone increasing locally Lipschitz continuous function such that β4(0)=0 and


then, by defining c~s as the solution of


we arrive at the definition of the searched function c¯s=cs,max-c~s. We have c~s>0 (due to Assumption 2.24) and c~s is a subsolution of (6.1). Hence c~scs,max-cs. Therefore, csc¯s<cs,max. Putting these two bounding solutions together, we conclude 0<cs¯csc¯s<cs,max. Hence (1.26) does not hold as tt0. Applying Theorem 1, we obtain that tend>t0. Therefore, either tend=tendI or (1.27).

7 Proof of a global in time existence result

7.1 On the truncated potential case. Proof of Theorem 3

Assume that (1.28) does not hold as tt0 with 0<t0<tendI. We can substitute the constants in the proof of Proposition 3


and repeat the argument. We get good bounds for ce,cs,B for t[0,t0], which do not depend on ϕs-φe,LiL. Hence, applying Lemma 3.4, we can obtain some estimates of ϕs and φe,Li in [0,t0]. Therefore, by Theorem 2, we have that tend>t0. Hence, by contraposition, if tend<tendI, then (1.28) must hold.

7.2 On the truncated temperature case. Proof of Theorem 4

It is immediate to establish global sub- and supersolutions for T, which ensure (1.28) does not happen, and hence we get the global existence of solutions.

8 Final remarks

8.1 Mass conservation and derived properties

We begin by analyzing the compatibility conditions for the elliptic problems with Neumann boundary conditions. The compatibility conditions for the existence of ϕs are


Hence, we deduce that


This is also the compatibility condition for system (1.8).

Let us take a look at the mass balance condition. From system (1.6) we observe that


Thus, as expected, the mathematical model satisfies that the total concentration in the electrolyte is constant. Since ce0 (we have constructed the convex spaces KX and KZ so that the solution of the mathematical model satisfies this condition, which is consistent with the physics of the problem since it is a concentration), this conclusion also implies that ceL1(0,L) is constant. In other words, as a whole, the electrolyte is saturated of Lithium. Any Lithium contribution from an electrode is immediately compensated somewhere else.

In fact, if one considers the Lithium concentration in the anode and cathode, for the pseudo-two-dimensional (P2D) model considered here, one gets


and, analogously,




then the P2D model satisfies that any lose of Lithium in its anode is instantaneously received by its cathode and viceversa. Otherwise, there would appear to be a net variation in the total amount of Lithium in the solid phase.

The state of the charge at time t of the cell, SOC(t), can then be estimated as a normalized average of the mass of Lithium in one of the electrodes, typically the negative one (see [31]):


8.2 Model validation and identification of parameters

In order to validate the model and identify suitable parameters, it is often necessary to compare the solutions of the model with real-world data and minimize some error functional using suitable parameter identification techniques and minimization algorithms (see, e.g., [19, 22, 23]). Since internal properties of the battery, such as the spatial distribution of Lithium ions, cannot be measured during operation, it is standard to measure only the temperature T (on the outside of the battery, but it is a safe assumption that the temperature is spatially homogeneous) and the output voltage V (see, for example, [5, 37]), which can be estimated by using (1.23).

9 Conclusions

In this work, we have shown that the system of equations (1.5)–(1.9) has a unique solution (under some mild conditions). In the most general setting, only local in time existence result can be shown, and the nature of the possible blow-up is characterized. The most difficult part of the study of an eventual possible blow-up is the structure of the open circuit potential U. By considering the model of U given by (2.18), which was proposed in [32], we can rule out some non-physical behaviors as the possible causes of blow-up, by making some assumptions on the coefficients. Finally, for the sake of mathematical completeness, we provide some extra conditions that allow for global uniqueness in time and make some comments regarding the conservation of Lithium in the model and the model validation.


  • [1]

    H. Amann, On abstract parabolic fundamental solutions, J. Math. Soc. Japan 39 (1987), no. 1, 93–116.  CrossrefGoogle Scholar

  • [2]

    S. N. Antontsev, J. I. Díaz and S. Shmarev, Energy Methods for Free Boundary Problems: Applications to Nonlinear PDEs and Fluid Mechanics, Birkhäuser, Boston, 2002.  Google Scholar

  • [3]

    W. Arendt, C. J. K. Batty and F. Neubrander, Vector-valued Laplace Transforms and Cauchy Problems, Monogr. Math., Springer, Basel, 2013.  Web of ScienceGoogle Scholar

  • [4]

    R. Bermejo, J. Carpio, J. I. Diaz and L. Tello, Mathematical and numerical analysis of a nonlinear diffusive climate energy balance model, Math. Comput. Model. 49 (2009), no. 5–6, 1180–1210.  Web of ScienceCrossrefGoogle Scholar

  • [5]

    C. R. Birkl and D. A. Howey, Model identification and parameter estimation for LiFePO 4 batteries, IET Hybrid and Electric Vehicles Conference 2013—HEVC 2013 IET, London (2013), 1–6.  Google Scholar

  • [6]

    C. R. Birkl, E. McTurk, M. R. Roberts, P. G. Bruce and D. A. Howey, A parametric open circuit voltage model for Lithium ion batteries, J. Electrochem. Soc. 162 (2015), no. 12, A2271–A2280.  Web of ScienceGoogle Scholar

  • [7]

    A. M. Bizeray, D. A. Howey and C. W. Monroe, Resolving a discrepancy in diffusion potentials, with a case study for Li-ion batteries, J. Electrochem. Soc. 163 (2016), no. 8, E223–E229.  Web of ScienceGoogle Scholar

  • [8]

    H. Brézis, Équations et inéquations non linéaires dans les espaces vectoriels en dualité, Ann. Inst. Fourier 18 (1968), no. 1, 115–175.  CrossrefGoogle Scholar

  • [9]

    H. Brézis, Is there failure of the inverse function theorem?, Morse Theory, Minimax Theory and Their Applications to Nonlinear Differential Equations (Beijing 1999), New Stud. Adv. Math. 1 International Press, Somerville (1999), 23–33.  Google Scholar

  • [10]

    H. Brézis, Functional Analysis, Sobolev Spaces and Partial Differential Equations, Springer, New York, 2010.  Google Scholar

  • [11]

    F. E. Browder, Nonlinear monotone operators and convex sets in Banach spaces, Bull. Amer. Math. Soc. 71 (1965), no. 5, 780–785.  CrossrefGoogle Scholar

  • [12]

    A. C. Casal, J. I. Díaz and J. M. Vegas, Blow-up in some ordinary and partial differential equations with time-delay, Dynam. Systems Appl. 18 (2009), no. 1, 29–46.  Google Scholar

  • [13]

    N. A. Chaturvedi, R. Klein, J. Christensen, J. Ahmed and A. Kojic, Algorithms for advanced battery-management systems, IEEE Control Syst. 30 (2010), no. 3, 49–68.  CrossrefGoogle Scholar

  • [14]

    J. I. Díaz, Nonlinear Partial Differential Equations and Free Boundaries, Pitman, London, 1985.  Google Scholar

  • [15]

    J. I. Díaz, Qualitative study of nonlinear parabolic equations: An introduction, Extracta Math. 16 (2001), no. 3, 303–342.  Google Scholar

  • [16]

    J. I. Díaz and G. Hetzer, A functional quasilinear reaction-diffusion equation arising in climatology, Partial Differential Equations and Applications. Papers Dedicated to Jacques-Louis Lions, Gauthier-Villars, Paris (1998), 461–480.  Google Scholar

  • [17]

    J. I. Díaz and I. I. Vrabie, Propriétés de compacité de l’opérateur de Green généralisé pour l’équation des milieux poreux, C. R. Math. Acad. Sci. Sér. I. Math. 309 (1989), no. 4, 221–223.  Google Scholar

  • [18]

    T. W. Farrell and C. P. Please, Primary alkaline battery cathodes, J. Electrochem. Soc. 152 (2005), no. 10, A1930–A1941.  Google Scholar

  • [19]

    A. Fraguela, J. A. Infante, A. M. Ramos and J. M. Rey, A uniqueness result for the identification of a time-dependent diffusion coefficient, Inverse Problems 29 (2013), no. 12, Article ID 125009.  Web of ScienceGoogle Scholar

  • [20]

    A. Friedman, Partial Differential Equations of Parabolic Type, Dover, Mineola, 1964.  Google Scholar

  • [21]

    D. Henry, Geometric Theory of Semilinear Parabolic Equations, Lecture Notes in Math. 840, Springer, Berlin, 1981.  Google Scholar

  • [22]

    J. Infante, M. Molina-Rodríguez and A. M. Ramos, On the identification of a thermal expansion coefficient, Inverse Probl. Sci. Eng. 23 (2015), no. 8, 1405–1424.  CrossrefWeb of ScienceGoogle Scholar

  • [23]

    B. Ivorra, B. Mohammadi and A. M. Ramos, A multi-layer line search method to improve the initialization of optimization algorithms, European J. Oper. Res. 247 (2015), no. 3, 711–720.  CrossrefWeb of ScienceGoogle Scholar

  • [24]

    S. Lang, Fundamentals of Differential Geometry, Springer, New York, 2012.  Google Scholar

  • [25]

    J. L. Lions, Quelques Méthodes de Résolution pour les Problèmes aux Limites non Linéaires, Dunod, Paris, 1969.  Google Scholar

  • [26]

    G. J. Minty, On a “monotonicity” method for the solution of nonlinear equations in Banach spaces, Proc. Nat. Acad. Sci. USA 50 (1963), no. 6, 1038–1041.  CrossrefGoogle Scholar

  • [27]

    J. Newman, Electrochemical Systems, Prentice-Hall, New Jersey, 1972.  Google Scholar

  • [28]

    R. Nittka, Inhomogeneous parabolic Neumann problems, Czechoslovak Math. J. 64 (2014), no. 3, 703–742.  CrossrefWeb of ScienceGoogle Scholar

  • [29]

    C.-V. Pao, Nonlinear Parabolic and Elliptic Equations, Springer, New York, 2012.  Google Scholar

  • [30]

    A. M. Ramos, Introducción al análisis matemático del método de elementos finitos, Editorial Complutense, Madrid, 2012.  Google Scholar

  • [31]

    A. M. Ramos, On the well-posedness of a mathematical model for Lithium-ion batteries, Appl. Math. Model. 40 (2016), no. 1, 115–125.  Web of ScienceCrossrefGoogle Scholar

  • [32]

    A. M. Ramos and C. P. Please, Some comments on the Butler–Volmer equation for modeling Lithium-ion batteries, preprint (2015), https://arxiv.org/abs/1503.05912.  

  • [33]

    R. Ranom, Mathematical modelling of Lithium ion batteries, Ph.D. thesis, University of Southampton, Southampton, 2014.  Google Scholar

  • [34]

    M. Renardy and R. C. Rogers, An Introduction to Partial Differential Equations, Springer, New York, 2006.  Google Scholar

  • [35]

    G. Richardson, A. M. Ramos, R. Ranon and C. Please, Charge transport modelling of Lithium ion batteries, in preparation.  

  • [36]

    K. Smith and C.-Y. Wang, Power and thermal characterization of a Lithium-ion battery pack for hybrid-electric vehicles, J. Power Sources 160 (2006), no. 1, 662–673.  CrossrefGoogle Scholar

  • [37]

    L. Zhang, L. Wang, G. Hinds, C. Lyu, J. Zheng and J. Li, Multi-objective optimization of Lithium-ion battery model using genetic algorithm approach, J. Power Sources 270 (2014), 367–378.  Web of ScienceCrossrefGoogle Scholar

About the article

Received: 2018-02-17

Accepted: 2018-02-19

Published Online: 2018-06-07

Funding Source: Ministerio de Educación Cultura y Deporte

Award identifier / Grant number: FPU

The research of the authors was partially supported by the Spanish Ministry of Economy, Industry and Competitiveness under projects MTM2014-57113-P and MTM2015-64865-P. The research of D. Gómez-Castro was supported by a FPU Grant from the Ministerio de Educación, Cultura y Deporte (Spain). All the authors are members of the Research Group MOMAT (Ref. 910480) of the UCM.

Citation Information: Advances in Nonlinear Analysis, Volume 8, Issue 1, Pages 1132–1157, ISSN (Online) 2191-950X, ISSN (Print) 2191-9496, DOI: https://doi.org/10.1515/anona-2018-0041.

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© 2019 Walter de Gruyter GmbH, Berlin/Boston. This work is licensed under the Creative Commons Attribution 4.0 Public License. BY 4.0

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