现代制造工程Issue(3)：68-73,119,7.DOI:10.16731/j.cnki.1671-3133.2018.03.013
基于改进人工蜂群算法的复合电源电动车FSM-Fuzzy能量管理策略
Hierarchical energy management strategy for hybrid electric vehicle based on dynamic FSM-Fuzzy control strategy
摘要
Abstract
Search mechanism is comprehensive improved by using the advantage of Particle Swarm Optimization(PSO)algorithm and Genetic Algorithm(GA)aiming at the problem of slow convergence and poor convergence accuracy of artificial bee colony al-gorithm.Benchmark functions show that the convergence speed and accuracy of the algorithm improved obviously.On the basis of the algorithm,designing the composite power electric vehicle FSM-Fuzzy layered energy management strategy,the fuzzy control strategy membership function size and ship are closed-loop learning by calling for the Advisor software.The result shows:under the UDDS and SC03 condition,the energy consumption can still reduce 8.36 % and 8.58 % under the strategy learned by the improved artificial bee colony algorithm.关键词
人工蜂群算法改进/复合电源电动车/控制策略Key words
artificial bee colony improving/composite power electric vehicle/control strategy分类
交通工程引用本文复制引用
宋晓琳,任祥喜..基于改进人工蜂群算法的复合电源电动车FSM-Fuzzy能量管理策略[J].现代制造工程,2018,(3):68-73,119,7.基金项目
国家自然科学基金资助项目(51575169) （51575169）
