Evaluation of the Performance Degradation of a Metal Hydride Tank in a Real Fuel Cell Electric Vehicle

Santiago Hernán Suárez, Djafar Chabane, Abdoul N’Diaye, Youcef Ait-Amirat, Omar Elkedim and Abdesslem Djerdir
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Santiago Hernán Suárez: FEMTO-ST Institute, Université Bourgogne Franche-Comté, UTBM, CNRS, 90000 Belfort, France
Djafar Chabane: FEMTO-ST Institute, Université Bourgogne Franche-Comté, UTBM, CNRS, 90000 Belfort, France
Abdoul N’Diaye: FEMTO-ST Institute, Université Bourgogne Franche-Comté, UTBM, CNRS, 90000 Belfort, France
Youcef Ait-Amirat: FEMTO-ST Institute, FCLAB, Université Bourgogne Franche-Comté, CNRS, 90000 Belfort, France
Omar Elkedim: FEMTO-ST Institute, Université Bourgogne Franche-Comté, UTBM, CNRS, 90000 Belfort, France
Abdesslem Djerdir: FEMTO-ST Institute, Université Bourgogne Franche-Comté, UTBM, CNRS, 90000 Belfort, France

Energies, 2022, vol. 15, issue 10, 1-14

Abstract: In a fuel cell electric vehicle (FCEV) powered by a metal hydride tank, the performance of the tank is an indicator of the overall health status, which is used to predict its behaviour and make appropriate energy management decisions. The aim of this paper is to investigate how to evaluate the effects of charge/discharge cycles on the performance of a commercial automotive metal hydride hydrogen storage system applied to a real FCEV. For this purpose, a mathematical model is proposed based on uncertain physical parameters that are identified using the stochastic particle swarm optimisation (PSO) algorithm combined with experimental measurements. The variation of these parameters allows an assessment of the degradation level of the tank’s performance on both the quantitative and qualitative aspects. Simulated results derived from the proposed model and experimental measurements were in good agreement, with a maximum relative error of less than 2 % . The validated model was used to establish the correlations between the observed degradations in a hydride tank recovered from a real FCEV. The results obtained show that it is possible to predict tank degradations by developing laws of variation of these parameters as a function of the real conditions of the use of the FCEV (number of charging/discharging cycles, pressures, mass flow rates, temperatures).

Keywords: hydrogen storage; metal hydride; optimisation algorithm; parameter identification; fuel cell electric vehicle (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
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