Genidy, Abdelrahman (University of Orléans, Renault, Ampere sas), Leau, Maxime (University of Orleans), Nelson-Gruel, Dominique (University of Orleans), ketfi-cherif, Ahmed (Renault), VON-WISSEL, Dirk (Renault), COLIN, Guillaume (Univ. Orléans)

Enhancing Fuel Cell Longevity Via Multi-Objective Dynamic Programming

Scheduled for presentation during the Regular Session "Modelling, optimization and diagnostics of fuel cells" (MoB1), Monday, June 16, 2025, 16:10−16:30, Kapel

AAC 2025 11th IFAC International Symposium on Advances in Automotive Control, June 15-18, 2025, Eindhoven, Netherlands

This information is tentative and subject to change. Compiled on May 31, 2025

Abstract

Proton-exchange-membrane fuel cells are emerging as a key technology for clean electric vehicles. However, degradation mechanisms arising from operating conditions hinder the market entry of fuel cell electric vehicles. Therefore, an energy management strategy is crucial to optimize fuel-cell operation while minimizing both degradation and hydrogen consumption. Accordingly, this paper proposes a two-state multi-objective dynamic programming approach to address this problem. Compared to the conventional approach that considers only hydrogen consumption, the simulation results reveal a significant reduction of 98.38% in fuel-cell degradation, accompanied by a slight increase in fuel consumption. This reduction in fuel-cell degradation is achieved by limiting start-stop cycles and transient loading on the fuel-cell stack.