混合动力车辆控制策略研究

摘要

For a series hybrid electric armored vehicle, an optimal control model was established aiming at the minimum fuel consumption. In the calculation of minimum fuel consumption, the dynamic optimization method was used. Based on the typical CYC—CSHVR conditions of a heavy-duty vehicle, the dynamic optimization strategy was simulated and compared with the eonstant temperature control strategy. The results show that the fuel economy of dynamic programming is better than that of constant temperature control. Finally, the relationship between output and demand power is acquired according to the simulation and analysis.%针对某串联混合动力装甲车,建立了以燃油消耗最小化为目标的最优控制模型,应用动态优化算法对问题进行求解.选择某重型车辆典型城郊工况CYC-CSHVR进行仿真分析,并将结果与"恒温式"控制策略的结果作比较,结果表明动态规划算法的燃油经济性比"恒温式"有较大提高.最后根据仿真分析,得到该串联混合动力装甲车的发动机输出功率与需求功率的关系.