Method for determining the water content of a membrane of a proton exchange polymer membrane fuel cell

FR3151147B1Active Publication Date: 2025-06-27IFP ENERGIES NOUVELLES
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Patent Information

Application Number
FR2023007464
Authority / Receiving Office
FR · FR
Patent Type
Patents
Current Assignee / Owner
Filing Date
2023-07-12
Publication Date
2025-06-27
Estimated Expiration
2043-07-12

AI Technical Summary

Technical Problem

Existing methods for determining the water content in proton exchange membrane fuel cells are expensive, complex, and lack precision, particularly in real-time applications, leading to inefficiencies and potential degradation due to improper water management.

Method used

A method using a dynamic model, electrochemical model, and mass balance, combined with an adaptive extended Kalman filter, employs voltage, current, and temperature measurements, along with reagent flow rates to accurately determine water content within the membrane without direct measurement, enabling real-time monitoring and control.

Benefits of technology

Precise determination of water content within the membrane, allowing for effective water management and prevention of inefficiencies and degradation, achieved through cost-effective and real-time monitoring and control.

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Abstract

The present invention relates to a method for determining the water content of a membrane of a fuel cell (1), implementing a dynamic model of the membrane (MOD DYN), an electrochemical model of the fuel cell (MOD ELC), and a mass balance (BIL MAS) at the anode and cathode. For this method, a measurement (MES) of the voltage and current at the terminals of the fuel cell, as well as the temperature of the fuel cell, the flow rates of reactants at the anode and cathode are acquired (ACQ), and an adaptive extended Kalman filter (EKF) is applied to the models by means of the voltage measurement, the current measurement, the temperature measurement and the acquired flow rates to determine the water content within the membrane. Figure 2 to be published
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Description

Title of the invention: Method for determining the water content of a membrane of a fuel cell with a proton exchange polymer membrane Technical field

[0001] The present invention relates to the field of monitoring, control and diagnosis of a fuel cell, in particular a proton exchange polymer membrane fuel cell. The invention relates in particular to the determination of the water content of the membrane of such a fuel cell.

[0002] Much work is currently being devoted to the development of fuel cells as sources of electrical energy, both for stationary applications and for on-board applications, particularly for vehicles driven by electrical machines. Indeed, the advantages of fuel cells (no greenhouse gas emissions, higher energy density than batteries) are assets that are becoming important, particularly for the field of transport, especially for heavy transport.

[0003] A fuel cell allows chemical energy to be transformed into electrical energy. In the case of a hydrogen / oxygen fuel cell, the chemical reaction implemented is a redox equation of dihydrogen with dioxygen, the reaction of which can be written by the equation:

[0004] [Chem.l] 1 h2 + -o2 h2o

[0005] Within a fuel cell, the electrochemical oxidation of hydrogen is carried out at an anode made of a conductive catalytic material, while the electrochemical reduction of oxygen occurs at a cathode generally made of the same catalytic material. In addition, the anode and cathode compartments are separated by an electrolyte allowing the exchange of protons or ions.

[0006] For vehicles, the fuel cells that currently prove most promising are so-called proton exchange membrane cells, operating from a source of hydrogen coming either from a bottle on board the vehicle or from a unit producing hydrogen directly in the vehicle. Thus, hydrogen can be produced directly using a reformer operating with a suitable fuel, such as methanol, gasoline, diesel, etc. Advantageously, the fuel cell can be a low-temperature fuel cell, for example, a proton exchange polymer membrane (PEM) fuel cell. This type of fuel cell is currently the most suitable for mobile applications, particularly due to its cost. For economic reasons, their operation must respect a maximization of the lifespan while involving an acceptable energy efficiency.

[0007] To understand, a proton exchange polymer membrane fuel cell comprises several subsystems that can be grouped into three parts: - A "cathode" volume in which the incoming air (wet or dry) comes out charged with water following the oxidation-reduction equation involved; the air arrives at the level of channels of a bipolar plate, and the transport of oxygen is done by diffusion in the gas diffusion layer GDL (from the English "Gas Diffusion Layer") to the place of the reduction reaction near the membrane / catalytic layer CL interface (from the English "Catalytic Layer"), at the level of the platinum catalytic sites; . - An "anode" volume in which the incoming H2 (wet or dry) crosses the third part which is the membrane, to react with the dioxygen O2 on the cathode side; the dihydrogen H2 arrives at the level of the channels of the bipolar plate to then migrate by diffusion towards the membrane / catalytic layer CL interface (from the English "Catalytic Layer"), in which the oxidation reaction takes place, close to the catalytic sites; and - A membrane that will allow H+ protons to cross from the anode to the cathode so that the reduction reaction takes place at the membrane interface on the cathode side; the membrane is also the site of water transfers between the cathode and the anode; depending on its water content, it gives a greater or lesser resistance to the fuel cell.

[0008] [Fig.l] schematically illustrates a proton exchange membrane fuel cell. The fuel cell 1 comprises an anode 2, a cathode 3 and a polymer membrane 4 arranged between the anode and the cathode. The anode 2 comprises a bipolar plate 5 provided with channels 6 for supplying dihydrogen H2, a gas diffusion layer 7 and a catalytic layer 8. The cathode 3 comprises a bipolar plate 12 provided with air supply channels 11, a gas diffusion layer 10 and a catalytic layer 9. The chemical reactions implemented cause the movement of H+ ions in the membrane 4 as well as the movement of electrons e ensuring the generation of electricity, symbolized here by the curved arrows and the symbol V. In addition, the water present and / or generated at the anode and the cathode passes through the membrane. This exchange is represented by a double arrow in [Fig.l]. Prior art

[0009] Water management in the heart of the fuel cell, particularly in the heart of the membrane, is essential. On the one hand, if the core of the fuel cell is not wet enough, it loses efficiency and the drying of the membrane causes irreversible damage. On the other hand, if the core of the fuel cell is too wet, liquid water may appear, generally on the cathode side, and obstruct the catalytic sites (which may be composed of platinum). In this case, the fuel cell loses efficiency, and the catalytic sites degrade by dissolution, possibly by dissolution of the platinum.

[0010] To do this, it is necessary to measure or estimate this water content in the membrane upstream. It seems relevant to choose to locate the measurement within the membrane of the cell itself. The measurement is certainly more difficult to access there, but it gives a much more precise idea of ​​the behavior in water. Different measuring devices exist and provide an estimate of the proton resistance of the membrane which, via an empirical equation depending on the type of membrane considered, makes it possible to go back to this water content. Despite everything, these tools can be expensive. In addition, the sensitivity of the measurement to other quantities such as temperature does not allow a direct conclusion to be drawn on a reliable water content of the membrane. For example, patent applications CN109841879, US2019348694 describe such solutions based on proton resistance or impedance to deduce the water content.

[0011] Furthermore, the paper “Lukas Bohler, Daniel Ritzberger, Christoph Hametner, and Stefan Jakubek. Constrained extended Kalman filter design and application for on-line State estimation of high-order polymer electrolyte membrane fuel cell Systems. International Journal of Hydrogen Energy, 46(35):18604-18614, 2021” describes the application of an extended Kalman filter to reconstruct different states of the fuel cell, including the water activity at the membrane. However, this paper uses a simple model of the membrane that does not allow for accurate determination of the water content. Furthermore, this paper concerns water activity at the membrane and not the water content within the membrane. Thus, the water activity determined by this method is not representative of what is happening at the center of the fuel cell. Summary of the invention

[0012] The aim of the invention is to accurately determine the water content within the membrane of a polymer membrane fuel cell, without expensive and complex instrumentation, this determination being able to be carried out in real time. For this purpose, the present invention relates to a method for determining the water content of a membrane of a fuel cell, implementing a dynamic model of the membrane, an electrochemical model of the fuel cell, and a balance mass at the anode and cathode. For this method, a measurement of the voltage and current at the terminals of the fuel cell is implemented, as well as the temperature of the fuel cell, the flow rates of reactants at the anode and cathode are acquired, (possibly the pressures at the inlets of the anode and cathode, and the relative humidity entering the cathode) and an adaptive extended Kalman filter is applied to the models by means of the voltage measurement, the current measurement, the temperature measurement and the flow rates acquired to determine the water content within the membrane (and possibly the anode and cathode pressures, the relative humidity at the cathode). The models allow an accurate representation of the operation of the fuel cell, therefore an accurate determination of the water content within the membrane.Voltage measurements and mass flow acquisition do not require complex and expensive instrumentation: these can be quantities already measured within the fuel cell. In any case, the invention does not implement a direct measurement in the membrane. The adaptive extended Kalman filter allows an adaptation of the filter gain, which allows for speed gains, and a fortiori makes real-time application possible.

[0013] The invention further relates to a control method implementing such a method for determining the water content within the membrane.

[0014] The invention relates to a method for determining the water content within a membrane of a fuel cell with a proton exchange polymer membrane, said fuel cell comprising an anode, a cathode, and a polymer membrane arranged between said anode and said cathode, said anode being supplied with reactants such as dihydrogen and optionally water to form products such as H+ ions, said cathode being supplied with reactants such as oxygen and nitrogen to form products such as water.The method implements a dynamic model of said membrane which relates the water content of the membrane to the surface current and to the mole fractions of the reactants at the cathode and the anode, an electrochemical model of said fuel cell which relates the surface current to the voltage of said fuel cell and to the water content of said membrane, and a mass balance at the anode and the cathode which relates said surface current to the mole fractions of the reactants and products at said anode and cathode and to the mass flow rates of the reactants at the anode and cathode, and in that the following steps are implemented: . a. A voltage and a current are measured at the terminals of said fuel cell, as well as the temperature of the fuel cell; b. Mass flow rates of said reactants are acquired at said anode and cathode; and c. The water content within said membrane is determined, preferably at

[0015]

[0016]

[0017]

[0018]

[0019] center of said membrane, by means of an adaptive extended Kalman filter, applied to said dynamic model of said membrane, to said electrochemical model of said fuel cell and to said mass balance, and by means of said measured voltage, to the measured current, to the measured temperature, and to said acquired mass flow rates of reactants. According to one embodiment, pressures of the reactants are further acquired at said anodes and cathodes, said electrochemical model depending on said pressures of the reactants. According to one implementation, the said electrochemical model is constructed using the following equation: VceU - ENernst - V act - Vdlff - Vohm with Vcell the voltage of a cell of the fuel cell, Vact the losses by activation as a function of the surface current, Vdjff the losses by diffusion of dioxygen at the cathode as a function of the surface current, Vohm the ohmic losses due to the proton resistance of the membrane as a function of the surface current and the water content of the said membrane, ENernst the potential available under the operating conditions. Advantageously, the water content of said membrane at the interface with said anode and / or at the interface with said cathode is further determined. According to one aspect, said dynamic model of the membrane takes into account the water transport, and / or the electroosmosis reaction, and / or the phenomena absorption or desorption at the level of said anode and cathode. Advantageously, said dynamic model of the membrane is constructed at using the following equation: ! 1 \ ' ta DI i । __( 4 ) 4 ai Am ~ \ toc / _ j_ \ 'he 4 >CL 8 4 !cl 1 fCL 4 3 the / ij\ o + to « \J, with Amla content in the center of the membrane, Àa the water content of the membrane at the interface with the anode, 4 the water content of the membrane at the interface with the cathode, Dw the diffusivity coefficient, j the surface current, nd the number of water molecules carried by a proton in the membrane, k^CA) the absorption or desorption coefficient of the anode, kadc(A) the absorption or desorption coefficient of the cathode, the equivalent water content of the anode as a function of the molar fraction of water at the anode, the water content of the cathode as a function of the molar fraction of water at the cathode, the membrane thickness, tcL the thickness of the catalytic layer, cf the fixed charge concentration of the membrane, F the

[0020] Faraday constant. According to one implementation option, said mass balance is constructed at the level of said

[0021]

[0022]

[0023]

[0024]

[0025]

[0026]

[0027] cathode, taking into account oxygen consumption, water production as well as water absorption and desorption. According to one embodiment, said mass balance is constructed at said anode, taking into account the consumption of hydrogen, as well as the absorption and desorption of water. According to one implementation, said extended Kalman filter is written: X — 0(x, Z, U ), 0 = ^(x, z, u), y — Cz, with x the membrane water content, X the time derivative of x, u the measured or acquired values ​​including the fuel cell voltage and reactant flow rates, y the measured fuel cell current, C the observation matrix, ÿ the second membrane of the dynamic equation, V' a function of algebraic constraints and z the algebraic fuel cell states, preferably, the dynamic equation of the system is discretized as follows, with k the discrete time step: Uk) = 0 v(,JCk^zk+],uk) =0. Advantageously, said water content within the membrane is determined by applying an adaptive extended Kalman filter using the following steps, given the estimates bj ) ' 'cs covariance matrices QkY Rk-ï the estimated covariance matrix Pk-i at the previous time step k-1: i. We calculate the Jacobian r _ df / ax with 1 k-foW-ï ukA> f (x, u) = (Z -Æ0(x, d v. u), u) y1 and 1 the identity matrix' ii. We calculate the predicted state aj by solving the dynamical equation of the system and we calculate the Jacobian Hk = ^ with h(x, u) = C<(x, u), i. ii. We calculate the predicted estimate of the covariance P»-l= FtPkAF,Z+Qu. We calculate innovation dk -yk~ ^^-1' the covariance of innovation Sk = + 7^, and the Kalman gain Kk = P^H7^. We find the updated state xk = + Kkdk, and we deduce the water content of the membrane, iv. We calculate the algebraic state zk solution of the dynamic equation of the system and the updated innovation ^=yt-ck- v. We then update the covariance matrix Pk = (I-KkHk )P^-i with I the identity matrix, and the covariance matrices Qk = aQk i + ( 1 - a ) ( K^d^Kl ), Rk~ aRk-i + (^^) + (¾¾7 +

[0028] Furthermore, the invention relates to a method for controlling a proton exchange polymer membrane fuel cell, said fuel cell comprising an anode, a cathode, and a polymer membrane arranged between said anode and said cathode, said anode being supplied with reactants such as dihydrogen and optionally water to form products such as H+ ions, said cathode being supplied with reactants such as oxygen, nitrogen to form products such as water. For this method, the following steps are implemented: a. The water content of the membrane is determined by means of the method for determining the water content of the membrane of a fuel cell according to one of the preceding characteristics; and b. The flow rate of at least one reactant of said anode and cathode is adapted as a function of said determined membrane water content and / or the pressure at the cathode inlet is adapted as a function of said determined membrane water content and / or the temperature of the fuel cell is adapted as a function of said determined water content and / or the humidity of the air at the cathode inlet is adapted as a function of said determined water content.

[0029] Other characteristics and advantages of the method according to the invention will appear on reading the following description of non-limiting examples of embodiments, with reference to the appended figures described below. List of figures

[0030] [Fig.l]

[0031] [Fig.l], already described, illustrates a constitution of a fuel cell with a proton exchange polymer membrane.

[0032] [Fig.2]

[0033] [Fig.2] illustrates the steps of the method according to a first embodiment of the invention.

[0034] [Fig.3]

[0035] [Fig.3] illustrates the steps of the method according to a second embodiment of the invention.

[0036] [Fig.4]

[0037] [Fig.4] illustrates, for an example, the water content of a membrane of a fuel cell, with a reference curve REF, a curve corresponding to a method of the prior art AA, and a curve corresponding to the implementation of the invention INV. Description of the embodiments

[0038] The present invention relates to a method for determining the water content of a membrane of a fuel cell with a proton exchange polymer membrane. The water content of the membrane can be seen as the ratio of the water concentration of the membrane to the concentration of ion exchange sites (SO3 for nafion for example) of the membrane, it is expressed without dimension.

[0039] A proton exchange polymer membrane fuel cell comprises: - An anode, generally comprising a bipolar plate (to distribute the dihydrogen), a gas diffusion layer GDL and a catalytic layer CL, for example made of platinum, or platinum alloy, or with platinum-doped catalysts or alternative platinum deposition materials, - A cathode, generally comprising a bipolar plate (to distribute oxygen and evacuate water), a gas diffusion layer GDL and a catalytic layer CL for example made of platinum, or platinum alloy, or platinum-doped catalysts or alternative platinum deposition materials, and - A polymer electrolyte membrane arranged between the anode and the cathode, particularly between the catalytic layer of the anode and the catalytic layer of the cathode, for example the membrane may be made of fluoropolymer or based on polybenzimidazole (PBI) doped with phosphoric acid.

[0040] The cathode is supplied with reactants: humid or dry air (therefore the reactants of the cathode include dioxygen and nitrogen). During operation of the fuel cell, the cathode produces water as a result of the oxidation-reduction equation involved.

[0041] The anode is supplied with reactants: dihydrogen, therefore the reactants of the anode include dihydrogen. During operation of the fuel cell, the anode produces H+ ions as a result of the oxidation equation involved.

[0042] H+ ions pass through the polymer membrane, as does water. Depending on the humidification (humidity level) of the membrane, linked to its water content which changes over time, it gives a more or less great resistance to the fuel cell.

[0043] The fuel cell implemented in the method according to the invention may conform to the constitution of [Fig.l], or to any constitution of a fuel cell with a proton exchange polymer membrane.

[0044] The method according to the invention implements the following models: A dynamic model of said membrane which relates the water content of the membrane to the surface current (current per unit area within the fuel cell) and to the mole fractions of the reactants at the cathode and anode, the dynamic model of the membrane reporting the water behaviors within the membrane itself as a function of the humidity conditions at the interfaces with the anode and the cathode, An electrochemical model of said fuel cell which relates the surface current to the voltage of said fuel cell and to the water content of said membrane, the electrochemical model characterizing the operation of the fuel cell as a function of the operating conditions, this model being able to be related to the polarization curve of the cell, and A mass balance at the anode and cathode which links said surface current to the mole fractions of the reactants and products at said anode and cathode and to the mass flow rates of the reactants at the anode and cathode, the mass balance making it possible to take into account the consumption of the reactants and the production of water.

[0045] The invention makes it possible to determine the water content within the fuel cell membrane, preferably at the center of the fuel cell membrane. According to one embodiment of the invention, the method can further determine the water content of the membrane at the interface with the anode and / or at the interface with the cathode. These two water contents make it possible to model the water exchanges with the external cathode and anode volumes. In this way, the physical phenomena within the membrane can be determined more precisely, which makes it possible to adapt in particular the control, monitoring or diagnosis of the fuel cell.

[0046] The method according to the invention implements the following steps: 1. 2. 3. Measurement of voltage, current and temperature Acquisition of mass flow rates of reagents Determination of water content of the membrane.

[0047] Steps 1 and 2 may be implemented simultaneously. Step 3 may be implemented by computer means, in particular a computer or a fuel cell controller. The steps will be detailed in the remainder of the description. description. For the implementation of the process in real time, all steps are implemented in real time.

[0048] [Fig. 2] illustrates, schematically and in a non-limiting manner, the method according to a first embodiment of the invention. The voltage and current (MES) are measured at the terminals of the fuel cell, as well as the temperature of the fuel cell. The mass flow rates (ACQ) of the reactants at the anode and cathode are simultaneously acquired, and possibly the pressures at the inlet of the anode and the cathode. Then, an adaptive extended Kalman filter is applied to the three models: dynamic model of the membrane MOD DYN, electrochemical model MOD ELC, and mass balance BIL MAS, and by means of the voltage and current measurement as well as the measurement of the temperature and the acquired mass flow rates, to obtain the water content X within the membrane.

[0049] According to one embodiment, the method may comprise a step of controlling the fuel cell as a function of the determined water content. The control makes it possible to avoid operating the fuel cell when the membrane is too dry or too wet, which avoids losses of efficiency and avoids degradation of the fuel cell.

[0050] Thus, for this embodiment, the method comprises the following steps: 1. Measurement of voltage, current and temperature 2. Acquisition of mass flow rates of reagents 3. Determination of the water content of the membrane 4. Fuel cell control

[0051] Steps 1 and 2 can be implemented simultaneously. Steps 3 and 4 can be implemented by computer means, in particular a computer or a fuel cell controller. The steps will be detailed in the remainder of the description. For the implementation of the method in real time, all the steps are implemented in real time.

[0052] [Fig. 3] illustrates, schematically and in a non-limiting manner, the steps of the method according to this second embodiment. The steps already described in relation to [Fig. 2] are not detailed again. The method further comprises a step of controlling CON the fuel cell as a function of the determined water content X.

[0053] According to an implementation of the invention, the method may comprise prior steps of constructing the models. In this case, the method may comprise the following steps: A. Construction of the dynamic model B. Construction of the electrochemical model C. Construction of the mass balance 1. Measurement of voltage, current and temperature

[0054]

[0055]

[0056]

[0057]

[0058]

[0059] 2. Acquisition of mass flow rates of reagents 3. Determination of the content at the top of the membrane 4. Fuel cell control Steps A, B, and C can be performed offline once beforehand, while steps 1 through 4 can be performed in real time. Steps A, B, and C can be performed in any order. Steps 1 and 2 can be performed simultaneously. Steps 3 and 4 can be performed by computer means, including a computer or a fuel cell controller. The steps will be detailed later in the description. A. Construction of the dynamic model In this optional step, the dynamic model of the membrane is constructed, which relates the water content of the membrane to the surface current and the mole fractions of the reactants at the cathode and anode. For the embodiment for which the water content at the interface of the membrane with the anode and / or at the interface of the membrane with the cathode, the dynamic model of the membrane can depend on these different water contents. According to one aspect of the invention, the dynamic model of the membrane can take taking into account the transport of water, and / or the electroosmosis reaction, and / or the absorption or desorption phenomena at the level of said anode and cathode. Thus, the different physical phenomena within the membrane are modeled, which contributes to the accuracy of water content determination. According to an implementation of the invention, the model can be constructed membrane dynamics using the following equation: 4 lCL 8 4 1 \ ' f(L 1 4 / wd lka\ \àJ with 2„Ja content in the center of the membrane, the water content of the membrane at the interface with the anode, the water content of the membrane at the interface with the cathode, Dw the diffusivity coefficient, j the surface current (in other words the current per unit area within the fuel cell), ,ld the number of water molecules carried by a proton in the membrane, k^^À) the absorption or desorption coefficient of the anode, kadc(À) the absorption or desorption coefficient of the cathode, the equivalent water content of the anode as a function of the mole fraction of water at the anode, the water content of the cathode as a function of the mole fraction of water at the cathode, tM the membrane thickness, tcL the thickness of

[0060]

[0061]

[0062]

[0063]

[0064]

[0065]

[0066]

[0067]

[0068]

[0069]

[0070] the catalytic layer, Q the concentration of ion exchange sites in the membrane, F the Faraday constant. The first term of this equation corresponds to the transport phenomenon following a concentration gradient, generally from the cathode to the anode where the water is least present; the diffusivity coefficient depends on the water content 2 in the membrane and its equation can be written: 1040 siQ <k<2, / E l , l() 40 (l + 2(X-2) ) .«2 <U<3, ZMA)-exp( — ( —-)) 10 40 (3-1.75(X-3) ) si3 <X<4, .L25xl() 40 siX>4; With R the ideal gas constant, T the fuel cell temperature, Tref the reference temperature taken at 298K, and Eact the activation energy of the reaction. The second term of this equation corresponds to the phenomenon of electro-osmosis; during use, H+ protons will migrate from the anode to the cathode and will carry water molecules with them via H3O+ ions; the number of water molecules carried by an H+ proton is given by the clcc-troosmotic coefficient Hj(X): ) 2 X With \m the water content in the center of the fuel cell. The last term of this equation only concerns the water contents at the 2œ 2C interfaces and highlights the exchanges of water with the cathode and anode volumes by absorption or desorption phenomena; the coefficient kad(À) defines the absorption or desorption coefficient while gf are the water contents equi valent of the cathode and anode volumes and depend explicitly on the molar fractions of water in these two volumes: 0.043+ 17.81a-39.85a2 + 3&P 14+1.4(al) 16.8 .« 0 < a < L if 1 < a < 3, if a > 3. where a = P; i momentum, cal kadj (2) 105exp( -4800( 4 - ttXt? ) ) cxp( —4—rr- " 4 '■ \T 323.15 / / t \ ​​max( a, ,,,0,3) 8 104exp(-4800(4-^)) ) yes^ Otherwise. With i denoting the anode or cathode, X^ o the mass fraction of water at the anode or cathode, Pi the pressure of the reactants at the anode or cathode, Psat the pressure of saturated steam. This model can be adapted if the process only determines the water content in the center of the membrane. B. Construction of the electrochemical model

[0071] During this optional step, an electrochemical model of said fuel cell is constructed which links the surface current to the voltage of said fuel cell and to the water content of said membrane. The electrochemical model may be a voltage-current equation which characterizes the operation of the fuel cell as a function of the operating conditions, this model may be linked to the polarization curve of the fuel cell.

[0072] According to one embodiment of the invention, the electrochemical model may further depend on the pressures of the reactants at the anode and at the cathode. For this embodiment, the method may comprise an additional step of acquiring the pressures of dihydrogen and dioxygen respectively at the anode and at the cathode. This embodiment promotes the accuracy of the model, and consequently the accuracy of the determination of the water content.

[0073] According to one implementation, the electrochemical model can be constructed using the following equation: Vceu = ENernst - Vact - Vdiff - Vohm with Vcell the voltage of a cell of the fuel cell, Vact the activation losses as a function of the surface current, V^iff the losses by diffusion of dioxygen at the cathode as a function of the surface current, Vohm the ohmic losses due to the proton resistance of the membrane as a function of the surface current and the water content of said membrane, ENernst the potential available under the operating conditions.

[0074] According to a non-limiting example, the terms of this equation can be determined in the following manner:

[0075] - _ ( _ Z4S Nernst \ 2F 2F Could. Po. \ , Which defines the available potential Ready / under the required operating conditions, with / 177 the enthalpy of the reaction under standard conditions, AS the entropy of the reaction under standard conditions, F the Faraday constant, T the temperature of the fuel cell, R the ideal gas constant, Pn the hydrogen pressure, Pq the oxygen pressure, Pref the reference pressure;

[0076] , which defines the losses by activation of the chemical reaction, with R the ideal gas constant, T the fuel cell temperature, F the Faraday constant, j the surface current, the surface exchange current in the reference pressure and temperature conditions taken respectively at Ibar (0.1 Mpa) and 353K, has a model calibration coefficient so that the resulting polarization curve approaches the actual polarization curve of the fuel cell; , which defines the losses by diffusion of dioxygen at the Vd,ff=-Bln lf cathode, with B a model calibration coefficient so that the resulting polarization curve approaches the actual polarization curve of the fuel cell, j the surface current, jl a model calibration coefficient so that the resulting polarization curve approaches the actual polarization curve of the fuel cell; - ohm ~ AS R ( ) j, which characterizes the ohmic losses due to the resistance proton resistance of the membrane, with ASR(km) the resistance of the fuel cell membrane, j the surface current. For example, the resistance can be defined by a formula of the form: h to = _______________—_______________with Àm the water content 1 (0.0051394,-0.00326)exp( 1268(^4)) in the middle of the membrane, T the temperature of the fuel cell, the thickness of the membrane. C. Mass balance

[0077] During this optional step, a mass balance is constructed at the anode and cathode which links said surface current to the molar fractions of the reactants and products at the anode and cathode and to the mass flow rates of the reactants at the anode and cathode, the mass balance makes it possible to take into account the consumption of the reactants and the production of water.

[0078] According to one embodiment of the invention, the mass balance on the cathode side can take into account oxygen consumption, water production as well as water absorption and desorption (i.e. the quantity of water which is entering or leaving the membrane at the interface with the cathode).

[0079] For example, the oxygen consumption at the cathode can be written: no cons — - with n°^0,ts 'a quantity of moles of oxygen consumed, j the surface current, Aact the active surface of the membrane, Nc the number of cells in the fuel cell, F the Faraday constant.

[0080] As an example, water production can be written: Oprod = with dn^oprod the mass flow rate of water produced, j the surface current, Aact the active surface of the membrane, Nc the number of cells in the fuel cell, F the Faraday constant.

[0081] Furthermore, the absorption and desorption of water at the cathode can be written as dnn^orp^ = with dnH2O^rlv the mass flow rate of water absorbed or desorbed at the cathode, Aact the active surface of the membrane, Nc the number of cells in the fuel cell, kadc(À) the absorption or desorption coefficient of the cathode, the water content of the cathode as a function of the fraction molar water content at the cathode, Àc the water content of the cathode.

[0082]

[0083] The mass balance of the cathode can be synthesized by the following equation:

[0084] With the mass fraction of oxygen at the cathode, X^^ the mass fraction of nitrogen at the cathode, X^o the mass fraction of water at the cathode, dnair the mass flow rate of air, / Xq \ adm the mass fractions at the inlet, j the current xy \Xh2o / surface area, Aacî the active surface area of ​​the membrane, Nc the number of cells in the fuel cell, F the Faraday constant, kade(À) the absorption or desorption coefficient of the cathode, the water content of the cathode as a function of the molar fraction of water at the cathode, the water content of the cathode.

[0085] According to one implementation of the invention, the mass balance on the anode side can take into account hydrogen consumption, as well as water absorption and desorption (i.e. the amount of water that is entering or leaving the membrane at the interface with the anode).

[0086] For example, the hydrogen consumption at the anode can be written: coin — - with dnH^ons the mass flow rate of hydrogen consumed, j the surface current, Aact the active surface of the membrane, Nc the number of cells in the fuel cell, F the Faraday constant.

[0087] As an example, the absorption and desorption of water at the anode can be written: nH2Om = -A^Nk^ ( À ) ( 4" - 4 ) with dnH^om the mass flow rate of water absorbed or desorbed at the anode, Aact the active surface of the membrane, Nc the number of cells in the fuel cell, kada(X) the absorption or desorption coefficient of the anode, the water content of the anode as a function of the molar fraction of water at the cathode, Àa the water content of the anode.

[0088] The mass balance of the cathode can be synthesized by the following equation: Xh2 Vldm dnn2 X'^ ■ VA'J .y, i $ \ o 0 0 / <^«»2 - N ikiAaJ )

[0089] With X^^ the mass fraction of dihydrogen at the anode, X^ the mass fraction of nitrogen at the anode, X^o the mass fraction of water at the anode, dn^ the mass flow rate of dihydrogen, [ \ mass fractions at the inlet, j the current surface area, Aacf the active surface area of ​​the membrane, Nc the number of cells in the fuel cell, F the Faraday constant, ka^a( À) the absorption or desorption coefficient of the anode, the water content of the cathode as a function of the molar fraction of water at the cathode, Àc the water content of the cathode.

[0090] 1. Measurement of voltage, current and temperature

[0091] During this step, the voltage and current across the terminals of the fuel cell are measured. Thus, an operating variable of the fuel cell is obtained simply and inexpensively. For example, the measurement can be carried out by a voltage sensor and a current sensor, this may in particular be a V sensor as illustrated in [Fig.l]. In addition, during this step, the temperature of the fuel cell is measured. For example, the measurement can be carried out by a temperature sensor. The fuel cell therefore does not require specific instrumentation for determining the water content within the membrane, in particular the invention does not require instrumentation of the membrane. 2. Acquisition of debits

[0092] During this step, the flow rates of reactants at the anode and cathode are acquired. In this way, the chemical reactions within the fuel cell can be quantified.

[0093] Advantageously, the acquisition of reagent flow rates can be carried out by measurement, in particular by means of a flow meter. Thus, approximations can be limited.

[0094] Alternatively, the acquisition of the reactant flow rates can be determined by a controller, which controls the intake of air and hydrogen to the fuel cell. This solution does not require any specific sensor.

[0095] Alternatively, the acquisition of the reagent flow rates may be an estimation of these flow rates.

[0096] According to one embodiment of the invention, the pressures of the reactants at the anode and cathode can also be acquired. Advantageously, this acquisition of pressures can be carried out by at least one pressure sensor. This can limit approximations. Alternatively, the acquisition of the reactant pressures can be determined by a controller, which controls the intake of air and hydrogen to the fuel cell. This solution does not require any specific sensor. Alternatively, the acquisition of reagent flow rates can be an estimate of these flow rates.

[0097] 3. Determination of the water content within the membrane

[0098] During this step, the water content within the membrane is determined, preferably at the center of the membrane, by means of an adaptive extended Kalman filter applied to the dynamic model (possibly constructed in step A), to the electrochemical model (possibly constructed in step B), to the mass balance at the anode and cathode (possibly constructed in step C), by means of measurements from step 1, and acquisitions from step 2. In other words, at the input of the adaptive extended Kalman filter we have the measured voltage, the measured current, the measured temperature and the acquired mass flow rates, and at the output the water content within the membrane, and possibly at the interfaces between the membrane and the anode and between the membrane and the cathode.

[0099] According to one embodiment of the invention, the adaptive extended Kalman filter can also take into account pressure acquisitions of the reactants at the anode and at the cathode. These pressures are then inputs to the adaptive extended Kalman filter.

[0100] According to one implementation of the invention, the adaptive extended Kalman filter may further take into account the relative humidities at the cathode and anode, so as to fully calculate the mole fractions of the inlet gas mixture. In other words, the relative humidities at the cathode and anode may be inputs to the adaptive extended Kalman filter.

[0101] Applying a Kalman filter allows to obtain a state observer. It is recalled that a state observer, or a state estimator, is, in automatic control and systems theory, an extension of a model represented in the form of a state representation. When the state of the system is not measurable, an observer is constructed which allows to reconstruct the state from a model. The extended Kalman filter allows to locally linearize nonlinear systems. Furthermore, it is recognized that the covariance matrices Qo and Ro have a significant importance on the performance of the observer. If these are not well adjusted, the filter is less efficient. The adaptive Kalman filter allows the implementation of a calculation of the covariance matrices which are based on the innovation dk and the residue allowing to improve the precision of the filter. In addition, the adaptive extended Kalman filter is robust.

[0102] In the following, a non-limiting embodiment of the application of such an adaptive extended Kalman filter is described.

[0103] According to one aspect of the invention, the extended Kalman filter can be written:

[0104] x = 0(x, z, w),

[0105] 0 = y^x,z,u),

[0106] >' = Cz, with x the water content of the membrane, i the derivative with respect to time of x, u the measured or acquired values ​​including the fuel cell voltage and reactant flow rates, y the measured fuel cell current, C the observation matrix, ¢ the second membrane of the dynamic equation, V an algebraic constraint function, and z the algebraic fuel cell states, preferably, the dynamic equation of the system can be discretized as follows, with k the discrete time step: -^:+1 “ ^k ” ( ^+1' ^k+Ÿ ^k ) ~

[0107] tP(xk+}, zk+l^ =0.

[0108] Depending on the optional measurements (pressures, temperature, relative humidities at the anode and cathode) and the optional outputs (water content at the interfaces), we can write:

[0109] x=(Àa z=(j X^2 x^ X^), U=(VCell ^air dnH2 Pca P an HRca HRm T),C={\ 0 0 0 0 0)

[0110] With Àa the water content within the membrane at the interface with the anode, Àm the water content at the center of the membrane, the water content within the membrane at the interface with the cathode, j the surface current, X^ the mass fraction of oxygen at the cathode, X^ the mass fraction of nitrogen at the cathode, the mass fraction of hydrogen at the anode, X^ the mass fraction of nitrogen at the anode, Vceii the measured voltage of the fuel cell, dnair the air flow rate at the cathode inlet, dn^ the hydrogen flow rate at the anode inlet, Pca the pressure at the cathode inlet, Pan the pressure at the anode inlet, HRca the relative humidity of the cathode, HRan the relative humidity of the anode, T the temperature of the fuel cell.

[0111] We can write the discrete dynamic equation of the system in the form of a more classical non-linear explicit system in order to write a classical adaptive extended Kalman filter: [0H2] is the solution of the discrete equation for fixed x and u.

[0115] According to an implementation of the invention, said water content of the membrane can be determined by means of the following steps, given the estimates ( *k 1' 1 ) ' 'CS covariance matrix Qk Rk.y the estimated covariance matrix Pk-i: i. We calculate the Jacobian 17 _ df t * \ with “âT um> f ( x, u ) = ( I - At(!> ( x, z ( x, U ), U ) )4 and 1 the identity matrix' ii. We calculate the predicted state (by solving the dynamic equation of the system and we calculate the Jacobian

[0116] Hk = g (%b ukA) with h(x, u) - Cs(x, w), i. We calculate the predicted estimate of the covariance P<-i = Fk^kA FkT + Qk_^ ii. We calculate innovation the covariance of innovation Sk = HkPk^Hl + and the Kalman gain Kt = iii. We find the updated state xk = Xq^. j + Kkdk, and we deduce the water content of the membrane, iv. Finally, we calculate the algebraic state zk solution of the dynamic equation of the system and the updated innovation ^=yk-cK- v. We then update the covariance matrix Pk — (I-KkHk)P^k_t with I the identity matrix, and the covariance matrices e*=«eM + a - « ) ( . Pk~ + (^^) + (¾¾7 + ^kPk^^ï\

[0117] In updating the covariance matrix, the coefficient a makes it possible to switch from an extended Kalman filter to an adaptive extended Kalman filter, so that the gain matrices Qk and R,t vary during the trajectory. 4. Fuel cell control

[0118] During this optional step, at least one flow rate of a reactant of the anode and cathode is controlled as a function of the water content within the membrane determined in step 3. In this way, the control of the fuel cell can be adapted so that the membrane operates in a suitable water content range, limiting its degradation and limiting efficiency losses.

[0119] For example, the control may include at least one of the following operations: - The air flow at the cathode inlet is adjusted (reduced or increased) if the water content is not within a predefined water content range, - The pressure at the cathode inlet is adapted (reduced or increased) if the water content is not within a predefined water content range, - The fuel cell temperature is adjusted (reduced or increased) if the water content is not within a predefined water content range. - The humidity of the air at the cathode inlet is adjusted (reduced or increased) if the water content is not within a predefined water content range.

[0120] The invention further relates to a method for monitoring and / or diagnosing a proton exchange polymer membrane fuel cell, in which the following steps are implemented: - The water content within the membrane is determined using the method according to any of the variants described above, - The operation of the fuel cell is monitored and / or diagnosed based on the water content. For example, if the membrane is too wet compared to a first predefined threshold or too dry compared to a second predefined threshold, a malfunction of the fuel cell can be diagnosed and / or a user can be alerted to this malfunction and / or maintenance of the fuel cell can be planned. Examples

[0121] The characteristics and advantages of the method according to the invention will appear more clearly on reading the comparative example below.

[0122] The example concerns the simulation of a proton exchange polymer membrane fuel cell using the simulation software Simcenter Amesim™ (SIEMENS, Germany) adapted to the prediction of multidisciplinary performances of multi-domain systems. We consider a fuel cell with a power of 90kW with 330 cells, an active surface of 320cm2. The thickness of the membrane is taken at 15 pm, as well as that of the catalytic layer. The membrane is assumed to be made of Nafion type ionomer. We assume that the temperature of the fuel cell is well regulated around 80°C. The fuel cell is simulated from the dedicated brick available in AMESIM. This is then nested in a vehicle simulation platform which operates with an input current demand. The simulation platform is divided into three blocks: - The air loop with an air filter, a compressor, a passive humidifier at the intake and a back pressure valve at the exhaust. - The hydrogen loop with a tank at the inlet and a recirculation device to reintegrate the H2 in the exhaust which has not been consumed in the inlet loop - The fuel cell block.

[0123] The platform is co-simulated with Simulink™ software (The Mathworks, USA) with pre-established control strategies to control operating conditions with optimized efficiency giving the required input current with dedicated controllers (compressor, back pressure valve, H2 injector).

[0124] When the initial water content is known, the simulation makes it possible to determine the water content at the center of the membrane; this value is considered the reference. The simulation makes it possible to know the voltage of the fuel cell, the gas inlet flow rates, the gas inlet pressures, and the temperature of the fuel cell. From these quantities, the method according to the invention (the adaptive extended Kalman filter and the three models) is applied to determine the water content at the center of the membrane, when the initial water content of the membrane is not known.

[0125] [Fig.4] illustrates for this simulation the water content in the center of the membrane X in function of time T in s. On this graph, REF indicates the reference curve resulting from the simulation, AA indicates a curve obtained by a prior art method in open loop (starting from an unknown initial condition), and INV indicates the curve obtained by the method according to the invention starting from the same unknown initial condition in AA

[0126] It is noted that the INV curves are quickly superimposed on the REF curve, which is why it can be concluded that the invention makes it possible to determine the water content precisely and quickly without knowing its initial value beforehand, which allows its use in real time.

Claims

Claims

1. Method for determining the water content within a membrane of a fuel cell (1) with a proton exchange polymer membrane, said fuel cell comprising an anode (2), a cathode (3), and a polymer membrane (4) arranged between said anode (2) and said cathode (3), said anode (2) being supplied with reactants such as dihydrogen and optionally water to form products such as H+ ions, said cathode (3) being supplied with reactants such as oxygen and nitrogen to form products such as water, characterized in that the method implements a dynamic model (MOD DYN) of said membrane (4) which links the water content of the membrane to the surface current and to the molar fractions of the reactants at the cathode and the anode,an electrochemical model (MOD ELC) of said fuel cell (1) which links the surface current to the voltage of said fuel cell and to the water content of said membrane, and a mass balance (BIL MAS) at the anode (2) and the cathode (3) which links said surface current to the molar fractions of the reactants and products at said anode and cathode and to the mass flow rates of the reactants at the anode (2) and cathode (3), and in that the following steps are implemented:, a. A voltage and a current are measured (MES) at the terminals of said fuel cell (1), as well as the temperature of the fuel cell (1); b. Mass flow rates of said reagents are acquired (ACQ) at said anode (2) and cathode (3); and c. The water content within said membrane (4), preferably at the center of said membrane (4), is determined by means of an adaptive extended Kalman filter (EKF), applied to said dynamic model of said membrane (MOD DYN), to said electrochemical model (MOD ELC) of said fuel cell and to said mass balance (BIL MAS), and by means of said measured voltage, measured current, measured temperature, and said acquired mass flow rates of reactants.

2. Method according to claim 1, in which pressures of the reactants at said anodes and cathodes are further acquired (ACQ),

3.

4.

5.

6.

7. said electrochemical model depending on said pressures of the reactants. Method according to one of the preceding claims, in which said electrochemical model (MOD ELC) is constructed by means of the following equation: Vcell = ENemst - Vacr - Vdiff - Vohm with Veell the voltage of a cell of the fuel cell, Vact the losses by activation as a function of the surface current, f the losses by diffusion of dioxygen at the cathode as a function of the surface current, Vohm the ohmic losses due to the proton resistance of the membrane as a function of the surface current and the water content of said membrane, ENert)St the potential available under the operating conditions. Method according to one of the preceding claims, in which the water content of said membrane (4) at the interface with said anode (2) and / or at the interface with said cathode (3) is further determined. Method according to one of the preceding claims, in which said dynamic model (MOD DYN) of the membrane takes into account the transport of water, and / or the electroosmosis reaction, and / or the absorption or desorption phenomena at the level of said anode and cathode. Method according to claims 4 and 5, in which said dynamic model (MOD DYN) of the membrane is constructed by means of the following equation: JL ra ta lCL -j\ a 9 / ^7» - ^<7) 4 J. tv 'M rM 0 +à 0 UJ 1 4 3 \ÀCI lj J with 2w the content at the center of the membrane, Àa the water content of the membrane at the interface with the anode, Àc the water content of the membrane at the interface with the cathode, Dw the diffusivity coefficient, j the surface current, nd the number of water molecules carried by a proton in the membrane, / ç^(2) the absorption or desorption coefficient of the anode, kadc( À) the absorption or desorption coefficient of the cathode, the equivalent water content of the anode as a function of the molar fraction of water at the anode, the water content of the cathode as a function of the molar fraction of water at the cathode, the thickness of the membrane, tcL the thickness of the catalytic layer, cf the fixed charge concentration of the membrane, F the Faraday constant. Method according to one of the preceding claims, in which one constructs said mass balance (BIL MAS) at said cathode (3), taking into account oxygen consumption, water production as well as water absorption and desorption.

8. Method according to one of the preceding claims, in which said mass balance (BIL MAS) is constructed at said anode (2), taking into account the consumption of hydrogen, as well as the absorption and desorption of water.

9. Method according to one of the preceding claims, wherein said extended Kalman filter is written: j = 0(x, z, m), z, u), y — Cz, with x the water content of the membrane, X the time derivative of x, u the measured or acquired values ​​including the fuel cell voltage and the reactant flow rates, y the measured fuel cell current, C the observation matrix, ¢ the second membrane of the dynamic equation, a function of algebraic constraints and z the algebraic fuel cell states, preferably, the dynamic equation of the system is discretized in the following manner, with k the discrete time step: Xk+1 " ( xk+1' Zk+p — 0 = 0-

10. A method according to claim 9, wherein said water content within the membrane is determined by applying an adaptive extended Kalman filter by means of the following steps, given the estimates b ' 'cs covariance matrices Qk f the estimated covariance matrix P^a at the previous time step k-1: i. Calculating the Jacobian i? _ / ¢- ,, L with k~ \xk-b uk-ï> f(x, u) = z(xu), u) y1 and 11a identity matrix, ii. Calculating the predicted state by solving the dynamic equation of the system and calculating the Jacobian )with h (u )=Cz ( u ) ' i. Calculating the predicted estimate of the covariance Pk^ = FkPkAFkT+QkŸ ii. We calculate the innovation d^-c covariance of the innovation Sk = HkP^Hk + Z?*.], and the Kalman gain Kk=p#.,Hj:si. iii. We find the updated state xk = + K:dk, and we deduce the water content of the membrane, iv. We calculate the algebraic state zk solution of the dynamic equation of the system and the updated innovation h=yt~cK- v. We then update the covariance matrix Pk = ( I-KkHk ) P^.^ with I the identity matrix, and the covariance matrices

11. Method for controlling a fuel cell (1) with a proton exchange polymer membrane, said fuel cell comprising an anode (2), a cathode (3), and a polymer membrane (4) arranged between said anode (2) and said cathode (3), said anode (2) being supplied with reactants such as dihydrogen and optionally water to form products such as H+ ions, said cathode (3) being supplied with reactants such as oxygen, nitrogen to form products such as water, characterized in that the following steps are implemented: a. The water content of the membrane (4) is determined by means of the method for determining the water content of the membrane of a fuel cell according to one of the preceding claims; and b. The flow rate of at least one reactant of said anode (2) and cathode (3) is adapted as a function of said determined membrane water content and / or the pressure at the inlet of the cathode (3) is adapted as a function of said determined membrane water content and / or the temperature of the fuel cell (1) is adapted as a function of said determined water content and / or the humidity of the air at the inlet of the cathode (3) is adapted as a function of said determined water content. 26