Abstract: Aiming at a series of 12 meters long hybrid car in different mileage (CCBC×11, CCBC×13 and CCBC×15) condition, adopt the thermostat control strategy (CD-CS) and dynamic programming (DP) algorithm to calculate the energy consumption. Under DP reverse optimization process, SOC is state variables, the battery output power ss control variables, the simulation results show that under different mileage, DP relative CD-CS to reduce energy consumption by 2.38% to4.54%, which makes full use of the power battery power and embodys the principle of global optimization. The analysis of energy consumption under different mileage shows that the energy saving effect of dynamic programming is better than that of thermostat control strategy with the increase of mileage.

Key words: Hybrid electric vehicle; Dynamic programming; Mileage driven; The energy consumption

摘要： 文章针对一款长 12 米的串联式混合动力汽车在不同里程（CCBC×11，CCBC×13 与 CCBC×15）条件下， 分别采用恒温器控制策略（CD-CS）与动态规划算法（DP）计算能耗，DP 逆向优化过程，以 SOC 为状态变量， 电池输出功率为控制变量，仿真结果表明：不同行驶里程下，DP 相对 CD-CS 减少能耗 2.38%～4.54%，充分利用了动力电池电能，体现了全局优化原则。针对不同里程下的能耗分析表明：随着里程的增加，动态规划比恒温器式控制策略的节能效果越来越好。

关键词: 混合动力汽车；动态规划；行驶里程；能耗