基于改进型动态规划算法的串联混合动力汽车控制策略

Control strategy of series hybrid electric vehicle based on improved dynamic programming

混合动力汽车通常由内燃机和电池两种不同的动力源驱动,对于给定的功率需求,如何分配两种动力源的输出功率,使得整个循环的耗油量达到最小是混合动力系统控制表示法需要解决的问题.本文采用改进动态规划方法来优化两种动力源的输出功率,并用PSATv6.1进行了系统仿真.仿真结果表明,与开关式相比,该方法能有效的降低串联混合动力汽车的耗油量;在算法上,改进的动态规划算法减少了存储量和运算时间,运算时间仅为改进前的28.47%.

Hybrid electric Vehicles（HEV） are usually powered by two different energy sources. Typically, those are equipped with an internal combustion engine and a bank of batteries. In a given driving cycle, it is important to minimize the total fuel consumption by properly sharing the instantaneous power between the two energy sources. This problem is solved by using the improved dynamic programming（IDP） algorithm. Simulation results from PSATv6.1 indicate that this algorithm helps saving fuel consumption more than the Thermostat approach. In the operation, this algorithm requires smaller memory capacity and reduces the operation time to 28.47% of the unimproved dynamic programming algorithm.