Research on Durability and Reliability Technology of a Fuel Cell Logistics Vehicle

Durability assessment of fuel-cell logistics vehicles over their full lifecycle demands efficient accelerated testing methods. Based on load spectra from real-world highways and reinforced proving-ground pavements, this study employs pseudo-damage equivalence, load-frequency correlation, and NSGA-II optimization to develop a 14,000 km/60-day accelerated test protocol and to design power spectral density inputs for fuel-cell stack vibration bench tests. Experimental results show pseudo-damage ratios of 0.8–1.25 in key frequency bands, closely matching real-world conditions, and tri-axial vibration RMS levels of the stack below those of power-battery standards. This methodology can be extended to various operating conditions and vehicle types, and—when combined with online monitoring and digital twins—can continuously enhance reliability.

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Publication Details

Published
2025-08-08
DOI
https://doi.org/10.1109/iaeac65194.2025.11166634
Primary Topic
Electric and Hybrid Vehicle Technologies
Type
article
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article

Research on Durability and Reliability Technology of a Fuel Cell Logistics Vehicle

Shizhan Li, Fang Wang, Ting Guo
Electric and Hybrid Vehicle Technologies
article

Research on Durability and Reliability Technology of a Fuel Cell Logistics Vehicle

Shizhan Li, Fang Wang, Ting Guo
article en

Abstract

Durability assessment of fuel-cell logistics vehicles over their full lifecycle demands efficient accelerated testing methods. Based on load spectra from real-world highways and reinforced proving-ground pavements, this study employs pseudo-damage equivalence, load-frequency correlation, and NSGA-II optimization to develop a 14,000 km/60-day accelerated test protocol and to design power spectral density inputs for fuel-cell stack vibration bench tests. Experimental results show pseudo-damage ratios of 0.8–1.25 in key frequency bands, closely matching real-world conditions, and tri-axial vibration RMS levels of the stack below those of power-battery standards. This methodology can be extended to various operating conditions and vehicle types, and—when combined with online monitoring and digital twins—can continuously enhance reliability.

Tianjin University (CN), China Automotive Technology and Research Center (CN), State Key Laboratory of Chemical Engineering (CN)
Openalex Percentile: Top 72%
Electric and Hybrid Vehicle Technologies
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