Intelligent Energy Management for Parallel HEV Based on Driving Cycle Identification Using SVM

摘要：

Hybrid Electric Vehicles (HEV) offer the ability to significantly reduce fuel consumptions and emission. Management of energy is one of essential elements in the implementation of HEV. The parameters of HEV control strategy are always optimized on some one standardized driving cycle, but the different city has its own driving cycle. So the great advantage of parallel HEV is limited. This paper proposes an intelligent management for parallel HEV based on driving cycle identification using support vector machines (SVM). SVM is great in model identification. The intelligent energy management of parallel HEV identifies the driving cycle and changes the parameters of the control strategy. The applicability of the proposed intelligent control system is confirmed by simulation examples. The simulation results show that the control strategy based on driving cycle identification using SVM could further improve the fuel consumption and reduce emissions.

关键词： driving cycle sensitivity support vector machine control strategy genetic

作者: Zhang Liang Zhang Xin Tian Yi Zhang Xinn

作者单位: School of Mechanical Electric and Control Engineering Beijing Jiaotong University, Beijing, China

会议类型: 国际会议

会议名称: 2009 International Workshop on Information Security and Application(2009 信息安全与应用国际研讨会)

会议地点: 青岛

会议语种:英文

页码: 457-460

在线出版日期: 2009-11-21（万方平台首次上网日期，不代表论文的发表时间）