Energy Management for a Power-Split Plug-inHybrid Electric Vehicle Based on Dynamic Programming and Neural Networks电源分插插头的能量管理 基于动态的混合动力电动汽车机动车 程序设计与神经网络.pdfVIP

This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. Citation information: DOI 10.1109/TVT.2013.2287102, IEEE Transactions on Vehicular Technology VT-2013-00599 1 Energy Management for a Power-Split Plug-in Hybrid Electric Vehicle Based on Dynamic Programming and Neural Networks Zheng Chen, Member, IEEE, Chunting Chris Mi, Fellow, IEEE, Jun Xu, Student Member, IEEE, Xianzhi Gong, and Chenwen You  vehicle (EV). Thus it is more important and more complicated Abstract—This paper focuses on building an efficient, online, to manage the energy distribution between the two drive trains and intelligent energy management controller to improve the fuel for a PHEV than for a HEV. An appropriate energy economy of a power-split plug-in hybrid electric vehicle (PHEV). management strategy can improve the fuel economy, decrease Based on the detailed powertrain analysis, the battery current can the operation cost, and prolong the battery life without be optimized to improve the fuel economy using dynamic programming (DP). Three types of drive cycles, highway, urban, sacrificing the driving performance. The target of this paper is