Smarter energy management for multistack fuel cells: Artificial intelligence coordination for heavy-duty transport

Ghaderi, R., Boulon, L., Trovão, J. P. F. et Ta, M. C. (2025). Smarter energy management for multistack fuel cells: Artificial intelligence coordination for heavy-duty transport. IEEE Electrification Magazine, 13 (4). pp. 65-72. ISSN 2325-5897 2325-5889 DOI 10.1109/MELE.2025.3627082

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Abstract
Imagine a freight truck crossing a continent not with one giant hydrogen fuel cell (FC), but with a team of smaller stacks, each quietly playing its part. Some work harder on uphill stretches, others rest when temperatures rise, and a few step in when a teammate begins to weaken. This is the vision behind multistack FC hybrid electric vehicles (MFCHEVs): modular systems in which several low-power FC stacks operate together with a battery to deliver traction power. Such architectures promise higher efficiency, improved durability, and enhanced fault tolerance. However, these benefits can only be realized through artificial intelligent (AI) energy management and effective coordination; otherwise, stacks may degrade unevenly, waste hydrogen, or fail prematurely.

Type de document:	Article
Mots-clés libres:	Fault tolerance Hydrogen Fault tolerant systems Fuel cells Electrification Traction power supplies Hybrid electric vehicles Continents Energy management Artificial intelligence
Date de dépôt:	26 mai 2026 18:09
Dernière modification:	26 mai 2026 18:09
Version du document déposé:	Post-print (version corrigée et acceptée)
URI:	https://depot-e.uqtr.ca/id/eprint/12911

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