An Effective Force-Temperature-Humidity Coupled Modeling for PEMFC Performance Parameter Matching by Using CFD and FEA Co-Simulation

Zhang, Zhiming; Wu, Sai; Li, Kunpeng; Zhou, Jiaming; Zhang, Caizhi; Wang, Guofeng; Zhang, Tong

doi:10.3390/su142114416

Cited by 2 publications

(1 citation statement)

References 36 publications

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“…Zhang et al [22] established a force-temperature-humidity multi-field coupled model which base on finite element analysis (FEA) and computational fluid dynamics (CFD) for the fuel cell electrochemical performance. Mallick et al [23] experimentally studied the electro chemical performance of direct methanol fuel cell under non-uniform bolt forces by EIS. Atyabi et al [24] studied the effect of clamping pressure on the contact resistance between the GDL and the bipolar plate (BPP) by simulation of 3D multi-phase model of the fuel cell.…”

Section: Introductionmentioning

confidence: 99%

Experimental Study on the Electrochemical Performance of PEMFC under Different Assembly Forces

Su,

Liu,

Wei

et al. 2024

Chin. J. Mech. Eng.

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Proton exchange membrane fuel cell (PEMFC) is of paramount significance to the development of clean energy. The components of PEMFC are assembled using many pairs of nuts and bolts. The assembly champing bolt torque is critical to the electrochemical performance and mechanical stability of PEMFC. In this paper, a PEMFC with the three-channel serpentine flow field was used and studied. The different assembly clamping bolt torques were applied to the PEMFC in three uniform assembly bolt torque and six non-uniform assembly bolt torque conditions, respectively. And then, the electrochemical performance experiments were performed to study the effect of the assembly bolt torque on the electrochemical performance. The test results show that the assembly bolt torque significantly affected the electrochemical performance of the PEMFC. In uniform assembly bolt torque conditions, the maximal power density increased initially as the assembly bolt torque increased, and then decreased on further increasing the assembly torque. It existed the optimum assembly torque which was found to be 3.0 N·m in this work. In non-uniform assembly clamping bolt torque conditions, the optimum electrochemical performance appeared in the condition where the assembly torque of each bolt was closer to be 3.0 N·m. This could be due to the change of the contact resistance between the gas diffusion layer and bipolar plate and mass transport resistance for the hydrogen and oxygen towards the catalyst layers. This work could optimize the assembly force conditions and provide useful information for the practical PEMFC stack assembly.

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Section: Introductionmentioning

confidence: 99%

Experimental Study on the Electrochemical Performance of PEMFC under Different Assembly Forces

Su,

Liu,

Wei

et al. 2024

Chin. J. Mech. Eng.

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Thermal Management of Fuel Cells Based on Diploid Genetic Algorithm and Fuzzy PID

et al. 2022

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The operation of a proton exchange membrane fuel cell (PEMFC) is greatly affected by temperature. Reliable thermal management of fuel cells can improve the life, efficiency, and power output of fuel cells. The model established in this paper is based on the inner layer of the fuel cell, and through the analysis of the heat change and material flow between layers, the simulink model can reflect the temperature change of the end plate, the bipolar plate, and the membrane electrode assembly (MEA) plate. In terms of the thermal management control strategy, the deviation and deviation rate between the MEA plate’s temperature and the target temperature are taken as input, and the fuzzy PID (proportional integral differential) controller is used to control the cooling water flow, to achieve a cooling effect. Due to the low efficiency and instability of a haploid genetic algorithm (GA) in solving dynamic optimization problems, a diploid genetic algorithm to optimize the membership function of the controller, and improve the adaptability of the control system, was designed. The simulation results show that compared with the haploid genetic algorithm, the optimal results of 100 iterations of the fuzzy PID control strategy reduce by 27.9%. Compared with the haploid genetic algorithm and fuzzy PID control, the MEA layer temperature, under the control of a diploid genetic algorithm, is reduced by 18% and 28%, respectively, and the minimum temperature difference of the reactor is 2.28 K.

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An Effective Force-Temperature-Humidity Coupled Modeling for PEMFC Performance Parameter Matching by Using CFD and FEA Co-Simulation

Cited by 2 publications

References 36 publications

Experimental Study on the Electrochemical Performance of PEMFC under Different Assembly Forces

Experimental Study on the Electrochemical Performance of PEMFC under Different Assembly Forces

Thermal Management of Fuel Cells Based on Diploid Genetic Algorithm and Fuzzy PID

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