基于动态规划的HEV复合储能系统效率最优控制策略  

Dynamic Programming-based Control Strategy With Optimum Efficiency of Hybrid Energy Storage System for Hybrid Electric Vehicle

作　　者：于海芳[1] 张袅娜[1] 崔淑梅[2] 

机构地区：[1]长春工业大学电气学院,长春130012 [2]哈尔滨工业大学电气学院,哈尔滨150001

出　　处：《微电机》2015年第8期55-60,74,共7页Micromotors

基　　金：国家基础研究发展计划(973)(2011CB711205);吉林省科技发展计划项目(20126008)

摘　　要：对复合储能(蓄电池与超级电容构成)混合动力汽车(HEV)的系统效率进行较为详细的分析,充分考虑系统各部件的效率,提出基于动态规划全局最优控制策略,在不降低原HEV燃油经济性的前提下,较非线性比例因子功率分配控制策略,电池循环次数进一步降低,其循环寿命得到有效改善,以上海工况为例,再生制动能量回收比例提高了3%。此优化算法考虑了各子系统的效率,可以取得选定工况下的效率最优,可为非线性比例因子分配策略中比例因子的确定提供参考。A reasonable and effective control strategy for HEV with HESS can improve the system efficiency and battery service life. Based on the detailed analysis of the efficiency of the various components of the system, a dynamic programming-based global optimal control strategy which fully considered the efficiency of each component in HEV was presented. To compare with the nonlinear proportion factor dynamic coordination strategy, the fuel consumption is not increased. which benefits its cycle life improvement. Take The cycle numbers of battery are further decreased shanghai drive cycle as example, the regenerative energy callback ratio improves 3%. Since this optimization algorithm considers efficiency of each subsystem, the efficiency optimum under the selected driving cycle can be realized. It can also provide a reference for the non-linear scaling factor allocation strategies to determine the scale factor.

关 键 词：HEV 复合储能 控制策略 动态规划 效率 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]