Matching and Optimization for Powertrain System of Parallel Hybrid Electric Vehicle

摘要：

　　The parameters matching of the hybrid powertrain system of the hybrid electric vehicle has a directly impact on the performance of the vehicle dynamic and the fuel economy.The preliminary match of the powertrain system base on analysis of Driving Cycle is done,then the software of AVL-Cruise and Matlab are integrated with Isight to optimize parameters of match,by using the Multi-Island GA and NLPQL to establish the combinatorial optimization algorithm.The results show that the fuel economy have been improved by 10.92% without sacrificing the dynamic performance and under the premise of ensuring the limits of the state of charge of battery.

关键词： hybrid electric vehicle driving cycle analysis powertrain system matching combinatorial optimization algorithm

作者: Gao Jianping Wei Yuehui Liu Zhennan Qiao Hongbing

作者单位: Vehicle & Motive Power Engineering College,Henan University of Science & Technology,48 Xiyuan Road,Jianxi District,Luoyang,China

会议类型: 国际会议

会议名称: 2013 International Conference on Energy Research and Power Engineering(2013能源研究与电力工程国际会议)(ERPE2013)

会议地点: 郑州

会议语种:英文

页码: 113-121

在线出版日期: 2013-05-24（万方平台首次上网日期，不代表论文的发表时间）