标题:Energy management of a parallel plug-in hybrid electric vehicle based on SA-PSO algorithm
作者:Li, Ping ;Cui, Naxin ;Kong, Zhuo ;Zhang, Chenghui
作者机构:[Li, Ping ;Cui, Naxin ;Kong, Zhuo ;Zhang, Chenghui ] School of Control Science and Engineering, Shandong University, Jinan; 250061, China
会议名称:36th Chinese Control Conference, CCC 2017
会议日期:26 July 2017 through 28 July 2017
来源:Chinese Control Conference, CCC
出版年:2017
页码:9220-9225
DOI:10.23919/ChiCC.2017.8028825
关键词:energy management; fuzzy logic; Plug-in hybrid electric vehicle; SA-PSO algorithm
摘要:In this paper, an intelligent energy management strategy is introduced to improve the fuel economy of a parallel plug-in hybrid electric vehicle (PHEV). Based on the dynamic system analysis, a fuzzy controller is designed for the energy management of PHEV. Then the combination of Simulated Annealing and Particle Swarm Optimization (SA-PSO) is applied to achieve the optimal parameters of the fuzzy controller. To improve the adaptability of the strategy under different road conditions, the hybrid driving cycle that composed of HWFET, LA92, Ftp75, Ja1015 and NEDC driving cycles is taken as the driving cycle for simulation. Moreover, simulations under NEDC and UDDS driving cycles are taken to verify the effects of the proposed energy management strategy. Simulation results indicate that the proposed energy management strategy is effective in improving the fuel economy under different driving conditions. © 2017 Technical Committee on Control Theory, CAA.
收录类别:EI;SCOPUS
资源类型:会议论文;期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85032189509&doi=10.23919%2fChiCC.2017.8028825&partnerID=40&md5=f6284b88b72965f20f5190ee08392a77
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