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A Comparative Study of Equivalent Factor Optimization Based on Heuristic Algorithms for Hybrid Electric Vehicles
- Qingxing Zheng - Wuhan University of Technology, School of Automotive Engineering, China Wuhan University of Technology, Hubei Key Laboratory of Advanced Technology for Automotive Components, China Hubei Collaborative Innovation Center for Automotive Components Technology, China ,
- Shaopeng Tian - Wuhan University of Technology, School of Automotive Engineering, China Wuhan University of Technology, Hubei Key Laboratory of Advanced Technology for Automotive Components, China Hubei Collaborative Innovation Center for Automotive Components Technology, China Wuhan University of Technology, Hubei Research Center for New Energy & Intelligent Connected Vehicle, China ,
- Wenbin Wang - Wuhan University of Technology, School of Automotive Engineering, China Wuhan University of Technology, Hubei Key Laboratory of Advanced Technology for Automotive Components, China Hubei Collaborative Innovation Center for Automotive Components Technology, China ,
- Qian Zhang - Wuhan University of Technology, School of Automotive Engineering, China Wuhan University of Technology, Hubei Key Laboratory of Advanced Technology for Automotive Components, China Hubei Collaborative Innovation Center for Automotive Components Technology, China ,
- Wen Cai - Wuhan University of Technology, School of Automotive Engineering, China Wuhan University of Technology, Hubei Key Laboratory of Advanced Technology for Automotive Components, China Hubei Collaborative Innovation Center for Automotive Components Technology, China
Journal Article
13-03-02-0015
ISSN: 2640-642X, e-ISSN: 2640-6438
Sector:
Topic:
Citation:
Zheng, Q., Tian, S., Wang, W., Zhang, Q. et al., "A Comparative Study of Equivalent Factor Optimization Based on Heuristic Algorithms for Hybrid Electric Vehicles," SAE J. STEEP 3(2):187-201, 2022, https://doi.org/10.4271/13-03-02-0015.
Language:
English
References
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