Multi-objective component sizing of plug-in hybrid electric vehicle for optimal energy management

作     者：Madanipour, Vahid Montazeri-Gh, Morteza Mahmoodi-k, Mehdi 

作者机构：Islamic Azad Univ Hashtgerd Branch Young Researchers & Elite Club Alborz Iran Iran Univ Sci & Technol Sch Mech Engn Syst Simulat & Control Lab Tehran Iran 

出 版 物：《CLEAN TECHNOLOGIES AND ENVIRONMENTAL POLICY》 (清洁技术与环境政策)

年 卷 期：2016年第18卷第4期

页      面：1189-1202页

核心收录：

学科分类：0830[工学-环境科学与工程（可授工学、理学、农学学位）] 07[理学] 0702[理学-物理学] 

主　　题：Component sizing optimization Plug-in hybrid electric vehicle Fuzzy logic controller Blended control strategy Multi-objective particle swarm optimization 

摘      要：This paper presents a methodology for component sizing optimization of a parallel plug-in hybrid electric vehicle by considering it as a multi-objective optimization problem. In this approach, two objective functions are defined to minimize the drivetrain cost, fuel consumption, and exhaust emissions simultaneously. Also, the driving performance requirements are considered as constraints. In addition, fuzzy logic controller including blended control strategy is developed for the PHEV. Finally, by means of multi-objective particle swarm optimization algorithm, the best choices of components are selected for 32 miles of the both TEH-CAR and UDDS driving cycles. Simulation results demonstrate the effectiveness and practicality of the approach, which prepare different optimal component sizes with various drivetrain costs, equivalent fuel consumption, and exhaust emissions.