中国科学院深圳先进技术研究院机构知识库(SIAT OpenIR): Multi-objective Parameters Optimization of Electric Assist Control Strategy for Parallel Hybrid Electric Vehicle
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Multi-objective Parameters Optimization of Electric Assist Control Strategy for Parallel Hybrid Electric Vehicle
Jingyu Yan; Chongguo Li; Huihuan Qian; Guoqing Xu; Yangsheng Xu
2009
Conference Name2009 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2009
AbstractTo manage the drivestrain and power flow of hybrid electric vehicle (HEV) and achieve balanced performances on fuel economy, emissions, grade ability and acceleration ability, it is necessary to develop a control system with suitable parameters by solving a multi-objective optimizationproblem. Based on the proof of the relationship between dominating number and diversity in objective-space, a dominating number based multi-objective genetic algorithm is proposed to enhance the diversity of Pareto-front and has been applied to optimize parameters of electric assistcontrol strategy for parallel HEV under standard test procedure provided in Advisor. Simulations under four drive cycles demonstrate availability and efficacy of the proposed algorithm
Department汽车电子研究中心
Indexed ByEI
Language英语
Document Type会议论文
Identifierhttp://ir.siat.ac.cn/handle/172644/2424
Collection集成所
Affiliation2009
Recommended Citation
GB/T 7714
Jingyu Yan,Chongguo Li,Huihuan Qian,et al. Multi-objective Parameters Optimization of Electric Assist Control Strategy for Parallel Hybrid Electric Vehicle[C],2009.
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