Weighting Optimization for Fuel Cell Hybrid Vehicles: Lifetime-Conscious Component Sizing and Energy Management
Fuel economy and system durability are critical yet interdependent performance metrics for fuel cell hybrid vehicles (FCHVs). This paper devises an integrated framework for optimizing component sizing and energy management in a fuel cell/battery hybrid passenger vehicle. A unified cost function is proposed, combining fuel economy and system durability through a weighting coefficient, based on a comprehensive model of the hydrogen consumption and degradation characteristics of fuel cells and batteries. Utilizing the dynamic programming (DP) algorithm, the total cost is optimized to derive the optimal weighting factors and component sizing, effectively addressing the multi-objective optimization problem and balancing efficiency and durability. Furthermore, the impact of power prices on the optimal parameters is carefully examined. The simulation results indicate that a battery capacity of 44 Ah and a fuel cell maximum power of 80 kW represent the optimal sizing configuration. A weighting factor of 0.5 achieves the minimum equivalent total cost by effectively balancing fuel economy and system durability for the light-duty fuel cell passenger vehicle. Additionally, the battery price affects the weighting factor, indicating that future reductions in power source costs will shift focus away from system durability to fuel economy in FCHV optimization. These findings provide recommendations for FCHV manufacturers to advance the application of fuel cells in passenger vehicles.
Authors
- Hao Yuan (ORCID: https://orcid.org/0000-0002-6199-6142)
- Jinfeng Feng
- Hang Dong (ORCID: https://orcid.org/0000-0001-6828-6891)
- Shuzhan Bai (ORCID: https://orcid.org/0000-0001-5668-8543)
- Sipeng Zhu (ORCID: https://orcid.org/0000-0003-3816-9541)
- Shu Chen (ORCID: https://orcid.org/0009-0006-2406-0309)
- Guoxiang Li (ORCID: https://orcid.org/0000-0002-5515-1717)
- X. Xiao
- Yujun Tang
Institutions
- Shandong University (CN)
- City University of Hong Kong, Shenzhen Research Institute (CN)
- University of Bath (GB)
Publication Details
- Journal
- Applied Sciences
- Published
- 2025-03-25
- DOI
- https://doi.org/10.3390/app15073586
- Citations
- 2
- Primary Topic
- Advanced Battery Technologies Research
- Type
- article
- Field-Weighted Citation Impact
- 1.37
Funders
- Natural Science Foundation of Shandong Province
- Basic and Applied Basic Research Foundation of Guangdong Province