Modeling of Fuel Cell Stack for High-Speed Computation and Implementation to Integrated System Model

Hasegawa, Shigeki; Kimata, Motoyuki; Ikogi, Yoshihiro; Kageyama, Masaaki; Kawase, Motoaki; Kim, Sanghong

doi:10.1149/10408.0003ecst

Cited by 9 publications

(12 citation statements)

References 3 publications

(4 reference statements)

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“…After substituting Eq. [4] to Eq. [1], the discretized expression of simultaneous differential equations about 𝑃 CH 𝑘 is derived for the momentum balance at each node of the anode and cathode channels.…”

Section: In Eq [1]mentioning

confidence: 99%

“…Non-linear terms in Eq. [4] is linearized by 1st-order Taylor series to give the linear algebraic equation as follows: 𝑘 𝑘 ′ and 𝑘 ( 𝑘, 𝑘 ′ ∈ , , , , are the coefficient and constant terms of the linearized expression of the differential equations. 𝑃 CH 𝑘 is calculated by solving Eq.…”

Section: In Eq [1]mentioning

confidence: 99%

“…The FC stack model implemented in the system simulator consists mainly of the physical models. A part of the models are described by the empirical models for the purposes of high-speed computation by avoiding the iterative convergence calculation and easy parameter-determination (4).…”

Section: Introductionmentioning

confidence: 99%

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Investigation of the Distribution of the Mass Transport and Reaction　Rates in a Fuel Cell By the Integrated Fuel Cell System Simulator Including the Dynamics of Air, H₂, and Cooling Systems

Hasegawa,

Kim,

Ikogi

et al. 2023

ECS Trans.

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A 1+1D model to estimate the distribution of the mass transport and reaction rates in the through-plane and along-channel directions in a fuel cell (FC) was developed. The developed model was integrated to the FC system model and controllers which reproduce the dynamics of the 2nd-generation MIRAI, state-of-the-art fuel cell electric vehicle (FCEV). The dynamic behavior of the distribution of mass transport and reaction rates are investigated in low to high load and temperature conditions with the integrated simulator. It was shown that the H2O recirculation from the cathode outlet to inlet region inside the cell through the anode channel played an important role to the determination of the distribution. It was unique feature with the FC system without a humidifier in the air system and the counter-flow configuration of a fuel cell. The impacts of the specification of the controller in the H2 and air system on the overall system performance and the dynamic behavior of the distribution in a fuel cell. The increase of the anode inlet flowrate and cathode inlet pressure enhanced the H2O recirculation in the cell and improved the intensively nonuniform distribution of the humidity, which can cause the acceleration of mechanical degradation of the MEA. The tradeoff of the change of the controller specifications were assessed. It was demonstrated that the relationships among the specification of the controller, the overall system performance, and the dynamic behavior of the distribution in a fuel cell can be evaluated quantitatively.

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Section: In Eq [1]mentioning

confidence: 99%

Section: In Eq [1]mentioning

confidence: 99%

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Investigation of the Distribution of the Mass Transport and Reaction　Rates in a Fuel Cell By the Integrated Fuel Cell System Simulator Including the Dynamics of Air, H₂, and Cooling Systems

Hasegawa,

Kim,

Ikogi

et al. 2023

ECS Trans.

View full text Add to dashboard Cite

show abstract

“…They also expressed the activation overpotential by introducing the correction coefficient. This coefficient was introduced in order to explain the proton conduction limitation in the through-plane direction in CCL (6). These calculations assume that all kinds of mass transfer resistances were in series to the reaction resistance (5,6,7,8,9).…”

Section: Introductionmentioning

confidence: 99%

“…This coefficient was introduced in order to explain the proton conduction limitation in the through-plane direction in CCL (6). These calculations assume that all kinds of mass transfer resistances were in series to the reaction resistance (5,6,7,8,9). This assumption indicates the diffusion and the reaction consecutively occur.…”

Section: Introductionmentioning

confidence: 99%

Quantification Method of Mass Transfer Resistance in Cathode Catalyst Layer in PEFC

Ogawa,

Okada,

Kageyama

et al. 2023

ECS Trans.

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The quantification method of mass transfer resistance in the cathode catalyst layer (CCL) should be established in order to appropriately evaluate the cell performance. Lots of PEFC research assumes that any resistances in PEFC are in series to reaction resistance. In this study, oxygen and proton transfer resistances in CCL were quantitatively separated from reaction resistance by applying the model where the through-plane mass- transport resistances were parallel to the reaction resistance. In order to evaluate oxygen and proton transfer resistance, a dimensionless cathode isothermal one-dimensional model was applied. The mass transfer resistance in CCL can be quantitatively evaluated by obtaining the value of five dimensionless moduli derived from mass balance. Polarization curves dependency on the oxygen partial pressure and relative humidity (RH) were measured at the temperature of 80 °C. Reaction rate parameters, effective oxygen diffusion coefficient, effective proton conductivity, and oxygen permeance through the ionomer layer were determined.

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A Neural Network Based PEMFC Dynamic Model for Hardware-in-the-Loop Application

Yao,

Ma,

et al. 2024

Springer Proceedings in Physics

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Modeling of Fuel Cell Stack for High-Speed Computation and Implementation to Integrated System Model

Cited by 9 publications

References 3 publications

Investigation of the Distribution of the Mass Transport and Reaction　Rates in a Fuel Cell By the Integrated Fuel Cell System Simulator Including the Dynamics of Air, H₂, and Cooling Systems

Investigation of the Distribution of the Mass Transport and Reaction　Rates in a Fuel Cell By the Integrated Fuel Cell System Simulator Including the Dynamics of Air, H₂, and Cooling Systems

Quantification Method of Mass Transfer Resistance in Cathode Catalyst Layer in PEFC

A Neural Network Based PEMFC Dynamic Model for Hardware-in-the-Loop Application

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Modeling of Fuel Cell Stack for High-Speed Computation and Implementation to Integrated System Model

Cited by 9 publications

References 3 publications

Investigation of the Distribution of the Mass Transport and Reaction Rates in a Fuel Cell By the Integrated Fuel Cell System Simulator Including the Dynamics of Air, H2, and Cooling Systems

Investigation of the Distribution of the Mass Transport and Reaction Rates in a Fuel Cell By the Integrated Fuel Cell System Simulator Including the Dynamics of Air, H2, and Cooling Systems

Quantification Method of Mass Transfer Resistance in Cathode Catalyst Layer in PEFC

A Neural Network Based PEMFC Dynamic Model for Hardware-in-the-Loop Application

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Product

Resources

About

Investigation of the Distribution of the Mass Transport and Reaction　Rates in a Fuel Cell By the Integrated Fuel Cell System Simulator Including the Dynamics of Air, H₂, and Cooling Systems

Investigation of the Distribution of the Mass Transport and Reaction　Rates in a Fuel Cell By the Integrated Fuel Cell System Simulator Including the Dynamics of Air, H₂, and Cooling Systems