Simulation analysis of an improve power tracking strategy for fuel cell heavy-duty trucks

This paper conducts simulation analysis of an improved fuel cell heavy-duty truck power tracking strategy, and elaborates on the proposed energy management strategy. The strategy determines the requested power of the vehicle for fuel power based on factors such as vehicle operating status, vehicle power demand, and power battery SOC. It also formulates fuel power setting rules for parking power generation mode and driving power generation mode respectively. Finally, the effectiveness of the strategy is verified through simulation analysis. The results show that the strategy can effectively reduce the number of load changes of fuel cells, extend their service life, and have limited impact on the overall energy consumption of the vehicle. In addition, the strategy also considers the impact of the power variation time of the fuel cell system and the number of cycles of charging and discharging of the power battery on the overall efficiency of the vehicle, providing a reference for optimizing the energy management strategy of fuel cell heavy-duty trucks.

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Publication Details

Published
2025-05-09
DOI
https://doi.org/10.1117/12.3067070
Primary Topic
Electric and Hybrid Vehicle Technologies
Type
article
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article

Simulation analysis of an improve power tracking strategy for fuel cell heavy-duty trucks

Junwei Yan, Hong Zhu, Richard L. C. Wu, Quan Liu
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Electric and Hybrid Vehicle Technologies
article

Simulation analysis of an improve power tracking strategy for fuel cell heavy-duty trucks

Junwei Yan, Hong Zhu, Richard L. C. Wu, Quan Liu
article en

Abstract

This paper conducts simulation analysis of an improved fuel cell heavy-duty truck power tracking strategy, and elaborates on the proposed energy management strategy. The strategy determines the requested power of the vehicle for fuel power based on factors such as vehicle operating status, vehicle power demand, and power battery SOC. It also formulates fuel power setting rules for parking power generation mode and driving power generation mode respectively. Finally, the effectiveness of the strategy is verified through simulation analysis. The results show that the strategy can effectively reduce the number of load changes of fuel cells, extend their service life, and have limited impact on the overall energy consumption of the vehicle. In addition, the strategy also considers the impact of the power variation time of the fuel cell system and the number of cycles of charging and discharging of the power battery on the overall efficiency of the vehicle, providing a reference for optimizing the energy management strategy of fuel cell heavy-duty trucks.

Wuhan University of Technology (CN)
Affordable and clean energy
Openalex Percentile: Top 90%
Electric and Hybrid Vehicle Technologies
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