Research on Multi-Objective Energy Management Strategies for Fuel Cell Commercial Vehicles

<div class="section abstract"><div class="htmlview paragraph">Fuel cells offer several advantages, including extended range, rapid refueling, and clean and efficient, making them well-suited for long-distance transportation in commercial vehicles. A multi-objective real-time optimization energy management strategy is proposed based on the comprehensive consideration of the equivalent hydrogen consumption and energy source lifetime. Power distribution among the energy sources is achieved by minimizing the vehicle's instantaneous comprehensive operational cost. Two coefficients are employed to restrict the fuel cell's start-stop frequency and load variation range. Additionally, two control coefficients are introduced in the objective function to regulate the battery's state of charge. The analysis shows that multi-objective real-time optimization energy management strategy is 10% and 14% less economical than conventional rule-based energy management strategy in both operating conditions and 5% and 7.8% higher than dynamic programming. However, the running time is shorter than DP, which can satisfy the real-time.</div></div>

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Publication Details

Journal
SAE technical papers on CD-ROM/SAE technical paper series
Published
2025-03-31
DOI
https://doi.org/10.4271/2025-01-8180
Primary Topic
Electric and Hybrid Vehicle Technologies
Type
article
Field-Weighted Citation Impact
0.00
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article

Research on Multi-Objective Energy Management Strategies for Fuel Cell Commercial Vehicles

Zhuangzhuang Gu, J. You, Yunqing Zhang, Jinglai Wu
SAE technical papers on CD-ROM/SAE technical paper series
Electric and Hybrid Vehicle Technologies
article

Research on Multi-Objective Energy Management Strategies for Fuel Cell Commercial Vehicles

Zhuangzhuang Gu, J. You, Yunqing Zhang, Jinglai Wu
article en

Abstract

<div class="section abstract"><div class="htmlview paragraph">Fuel cells offer several advantages, including extended range, rapid refueling, and clean and efficient, making them well-suited for long-distance transportation in commercial vehicles. A multi-objective real-time optimization energy management strategy is proposed based on the comprehensive consideration of the equivalent hydrogen consumption and energy source lifetime. Power distribution among the energy sources is achieved by minimizing the vehicle's instantaneous comprehensive operational cost. Two coefficients are employed to restrict the fuel cell's start-stop frequency and load variation range. Additionally, two control coefficients are introduced in the objective function to regulate the battery's state of charge. The analysis shows that multi-objective real-time optimization energy management strategy is 10% and 14% less economical than conventional rule-based energy management strategy in both operating conditions and 5% and 7.8% higher than dynamic programming. However, the running time is shorter than DP, which can satisfy the real-time.</div></div>

SAE technical papers on CD-ROM/SAE technical paper seriesVol. 1
Huazhong University of Science and Technology (CN)
Openalex Percentile: Top 94%
Electric and Hybrid Vehicle Technologies
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