Design of optimal, robust energy management strategy for a parallel HEV
Weimin Li ; Hang Tong ; Guoqing Xu ; Yangsheng Xu
2007
会议名称2007 IEEE International Conference on Robotics and Biomimetics, ROBIO
会议地点Sanya, China
英文摘要A novel approach based on stochastic dynamic programming(SDP) is proposed to develop optimal, robust energy control strategies for a parallelhybrid electric vehicle (HEV). Unlike other approaches that take a specific drive cycle as prior deterministic information, we model the transport mission as a stochastic process based on collected data. The problem of dynamic energy management in HEV system is formulated as an infinite-horizon SDP optimization problem and solved using an efficient "policy Iteration" algorithm. Our approach guarantees an optimization ofvehicle performance and is robust to the accuracy of available information. In addition, the resulting energy management strategy is suitable forreal-time implementation. Hence, it is more efficient and more useful in practice. Experimental results demonstrate the effectiveness of our approach compared to a rule-based algorithms.
收录类别EI
语种英语
内容类型会议论文
源URL[http://ir.siat.ac.cn:8080/handle/172644/2054]  
专题深圳先进技术研究院_集成所
推荐引用方式
GB/T 7714
Weimin Li,Hang Tong,Guoqing Xu,et al. Design of optimal, robust energy management strategy for a parallel HEV[C]. 见:2007 IEEE International Conference on Robotics and Biomimetics, ROBIO. Sanya, China.
个性服务
查看访问统计
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。


©版权所有 ©2017 CSpace - Powered by CSpace