Optimization of Hybrid Electric Bus Control Strategy with Hybrid Optimization Algorithm

摘要：

　　control strategy is one of the most decisive techniques in Hybrid Electric Bus (HEB) and directly influences the dynamic performance and fuel economy.For achieving the best fuel economy and keeping the battery for a long time,First,power analytic control strategy was built;then,the hybrid optimization algorithm (HOA) based on Multi-island genetic Algorithm (MIGA) and NLPQL was built by ISIGHT software.HOA is adopted in control strategy parameters of HEB optimization.The results show that the best result can be obtained in few iterative times by HOA,the calculation time was reduce by 12 hours,the fuel economy was improved by 12% and find the rules between control strategy parameters and fuel economy 、the balance of the battery state of charge(SOC).

关键词： Hybrid Electric Bus control strategy multi-island genetic algorithm hybrid optimization algorithm

作者: Gao Jianping Liu Zhennan Guo Zhijun Wei Yuehui

作者单位: Vehicle & Motive Power Engineering College,Henan University of Science & Technology,Luoyang 471003,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: 122-128

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）