Adaptive Control of Fuel Cell-Battery Hybrid Systems Considering Power Sources Degradation

This article proposes an adaptive control for the power distribution of fuel cell (FC) hybrid electric vehicles. port-Hamiltonian framework is utilized to describe the fuel cell hybrid system dynamics. Then, the controller is designed in the interconnection and damping assignment passivity-based control approach to distribute the power flow between the fuel cell and the battery pack, and the stability of designed controller has been proved. Moreover, an adaptation law is utilized to improve the fuel economy and durability of energy sources, and the battery state of charge is online estimated by a quasi-sliding-mode observer. Finally, simulation and experiments are conducted to verify the performance of proposed controller compared with an equivalent consumption minimization strategy.

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Publication Details

Journal
IEEE Transactions on Industrial Informatics
Published
2025-03-31
DOI
https://doi.org/10.1109/tii.2025.3547028
Citations
3
Primary Topic
Fuel Cells and Related Materials
Type
article
Field-Weighted Citation Impact
2.19

Funders

Controls
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article

Adaptive Control of Fuel Cell-Battery Hybrid Systems Considering Power Sources Degradation

Jian Chen, Yuzhu Chen
3 citations
IEEE Transactions on Industrial Informatics
Fuel Cells and Related Materials
2.19
article

Adaptive Control of Fuel Cell-Battery Hybrid Systems Considering Power Sources Degradation

Jian Chen, Yuzhu Chen
article en
3 citations

Abstract

This article proposes an adaptive control for the power distribution of fuel cell (FC) hybrid electric vehicles. port-Hamiltonian framework is utilized to describe the fuel cell hybrid system dynamics. Then, the controller is designed in the interconnection and damping assignment passivity-based control approach to distribute the power flow between the fuel cell and the battery pack, and the stability of designed controller has been proved. Moreover, an adaptation law is utilized to improve the fuel economy and durability of energy sources, and the battery state of charge is online estimated by a quasi-sliding-mode observer. Finally, simulation and experiments are conducted to verify the performance of proposed controller compared with an equivalent consumption minimization strategy.

IEEE Transactions on Industrial InformaticsVol. 21(6)
Southern University of Science and Technology (CN), Zhejiang University (CN)
National Natural Science Foundation of China
Affordable and clean energy
Openalex Percentile: Top 13%
Fuel Cells and Related Materials
2.19
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Adaptive Control of Fuel Cell-Battery Hybrid Systems Considering Power Sources Degradation — Jian Chen, Yuzhu Chen · IEEE Transactions on Industrial Informatics (2025) | TGRS Research Map | TGRS