同济大学学报（自然科学版）2011，Vol.39Issue(7)：1035-1039,1044,6.DOI:10.3969/j.issn.0253-374x.2011.07.017
插电式混合动力汽车能量管理策略多目标优化
Multi-objective Optimization of Energy Management Strategy of Plug-in Hybrid Electric Vehicle
摘要
Abstract
Energy management strategy is related to fuel consumption and exhaust emissions of plug-in hybrid electric vehicle (PHEV). Vehicle simulation model is established on the basis of energy management strategy developed in this paper. A hybrid optimization algorithm is proposed to overcome the inherent defects in single optimization algorithm by combining the improved particle swarm algorithm and genetic algorithm (GA). The hybrid optimization algorithm is applied to the multi-optimization of energy management strategy of PHEV. Optimization results show that the hybrid optimization algorithm can avoid falling into local optimum and its search capability is much better than simple particle swarm optimization(PSO) and GA. The optimized fuel consumption and the exhaust emissions reduce around 30%.关键词
能量管理策略/混合动力汽车/粒子群优化/遗传算法Key words
energy management strategy/ hybrid electric vehicle/ particle swarm optimization (PSO)/ genetic algorithm分类
信息技术与安全科学引用本文复制引用
张松,吴光强,郑松林..插电式混合动力汽车能量管理策略多目标优化[J].同济大学学报（自然科学版）,2011,39(7):1035-1039,1044,6.基金项目
国家“八六三”高技术研究发展计划(2007AA04Z132) （2007AA04Z132）
