A multi-objective hierarchical energy management strategy for a distributed fuel-cell hybrid electric tracked vehicle

Ruoyan Han, Hongwen He*, Zhendong Zhang, Shengwei Quan, Jinzhou Chen

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

6 Citations (Scopus)

Abstract

This paper proposes a multi-stack fuel cell system (MFCS) for a distributed fuel cell hybrid electric tracked vehicle. The power distribution results of the DP algorithm under a series of power demand gradients are analyzed for the MFCS, and a basic energy management rule is extracted. To realize the consistency of each fuel cell system (FCS) aging in the MFCS and ensure the battery SOC fluctuates in a healthy range, the energy management rule extracted by the DP algorithm is reconstructed, and a Multi-Objective Hierarchical Energy Management Strategy (MOH-EMS) is proposed. Finally, the performance of the MOH-EMS is analyzed. The results show that the proposed EMS has good performance in terms of fuel economy, with only a 3.8 % and 4.4 % difference from the DP algorithm. The proposed EMS also achieves consistency in the aging of the FCS and improves the lifetime of the FCS.

Original languageEnglish
Article number109858
JournalJournal of Energy Storage
Volume76
DOIs
Publication statusPublished - 15 Jan 2024

Keywords

  • Energy management strategy
  • Fuel cell degradation
  • Fuel cell hybrid electric vehicle
  • Multi-stack fuel cell system

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