Health-Aware Load Allocation and Joint Energy--Maintenance Optimization for Multi-Stack PEM Fuel Cell Systems
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Abstract
Multi-stack proton exchange membrane fuel cell (PEMFC) systems are promising for transportation applications because they are compact, provide high power density, operate at low temperature, and produce no direct CO2 emissions during operation. However, high cost and insufficient durability still hinder large-scale deployment. Under real driving conditions, variable loads and frequent transients accelerate degradation and shorten system lifetime.
To address this challenge, this thesis develops a prognostics and health management (PHM) framework for improving the durability and lifecycle performance of multi-stack PEMFC systems. In a first stage, a load-dependent degradation and prognostics framework is developed to estimate the health state online and to predict end of life (EOL) and remaining useful life (RUL), together with associated uncertainty, under projected future load scenarios. In a second stage, these prognostic outputs are used for decision-making through health-aware energy management and maintenance planning. By coordinating load allocation and maintenance actions, the proposed framework aims to extend system lifetime, improve availability, and reduce lifecycle cost.
How to Cite
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PEM Fuel Cells, Remaining Useful Life Prediction, Health-Aware Energy Management, Degradation Modeling, Predictive Maintenance, State of Health Estimation
Zuo, J., Cadet, C., Li, Z., Bérenguer, C., & Outbib, R. (2024, January). A deterioration-aware energy management strategy for the lifetime improvement of a multi-stack fuel cell system subject to a random dynamic load. Reliability Engineering & System Safety, 241, 109660. doi: 10.1016/j.ress.2023.109660
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