为了提升增程式电动汽车的经济性，针对等效燃油消耗最小能量管理策略（equivalent
consumption minimization strategy,ECMS）无法使经济性达到最优问题，提出一种改进的ECMS能量管理优化策略。采用整车需求功率来表征当前时刻的工况，采用加速度的大小来表征下一时刻需求功率的变化大小，采用动力电池SOC反馈来判断当前动力电池所存储能量的大小，根据三者确定当前整车状态下的最佳等效因子，并通过模糊控制器的方式来实现该等效因子的自适应调节。通过Matlab/Simulink搭建控制策略模型与AVL_Cruise软件进行联合仿真，结果显示：在WLTC工况和CLTC工况下，整车百公里等效燃油消耗量分别为8.50 L，8.07 L，较优化前分别提升了3%，1.94%，说明了改进后的自适应等效燃油消耗最小策略能有效减小燃油消耗量。
In order to improve the economy of extended-range
electric vehicles and solve the problem that the basic equivalent consumption
minimization strategy(ECMS) could not achieve the optimal economy, an improved
ECMS energy management optimization strategy was proposed. The required power
of vehicle was used to characterize the current working condition, the
acceleration was used to characterize the change of required power at the next
moment, and the SOC feedback of power battery was used to judge the stored
energy of power battery. According to the three factors, the optimal equivalent
factor in the current vehicle state was determined, and the adaptive adjustment
of equivalent factor was realized by means of fuzzy controller. The control
strategy model was built by Matlab/Simulink and the AVL_Cruise software was cosimulated. The results showed that the equivalent fuel consumptions
per 100 km were 8.50 L and 8.07 L respectively under WLTC and CLTC working
conditions, which improved by 3% and 1.94% respectively, indicating that the
improved adaptive ECMS could effectively reduce fuel consumption.
