基于自适应动态规划的HEV能量管理研究综述

Review of Research on HEV Energy Management Based on Adaptive Dynamic Programming

混合动力汽车集成了燃油汽车和纯电动汽车各自的优势,既能在满足动力需求的同时有效降低燃油消耗,又可实现长途行驶。混合动力汽车的能量管理策略可实现较好的功率分配,以使发动机和电动机处于高效的工作区间。目前能量管理策略可分为基于规则、基于优化和基于人工智能的控制策略3类,本文中对人工智能类的自适应动态规划算法进行了总结,分析了该算法的结构发展、算法实现方式和在能量管理策略研究中的应用,并指出其当前的不足和未来的发展趋势。

Hybrid electric vehicles integrate the both advantages of fuel vehicles and battery electric vehicles,which can not only effectively reduce fuel consumption while meeting power demand,but also achieve long-distance driving.The energy management strategy of hybrid electric vehicles can achieve better power distribution,so that the engine and electric motor can work in high efficiency regions.Current energy management strategies can be divided into three categories:rule-based,optimization-based and artificial intelligence-based control strategies.In this paper,the adaptive dynamic programming(ADP)algorithm in artificial intelligence-based category is summarized,the structural development,and the algorithm implementation and the application to energy management strategy research of ADP algorithm are analyzed,with its present inadequacies and future development trends pointed out.