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. |
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