提出了一种基于协变量自适应的车辆能量管理控制策略，其目标是实时改善燃油经济性。协变量自适应的原则和目标是发动机工作高效，即发动机高效区间对协变量进行选择。策略分为三步实现：首先，预测未来道路需求能量，将其简化为需求能量级别的预测，建立一个模糊控制器对车辆需求能量进行分级。然后，利用预测的需求能量级别调整高效区间范围，同时调整所设计的SOC软约束范围。最后，在SOC软约束范围内，协变量依据高效原则自适应调整，否则协变量由SOC来调整。轻混车辆仿真平台计算结果表明，此方法无论是在优化动力分配上还是控制SOC范围上都表现出良好的效果。

A power control strategy was proposed for hybrid electric vehicle (HEV) to improve fuel economy in real time based on covariate adaptation. The principle and goal of covariate adaptation was realization of engine highefficient working, which means the selection of covariate was determined by the high efficiency range of engine. The strategy was realized through three successive steps. First, the future demand energy should be predicted and simplified to the prediction of demand energy level. A fuzzy controller was established to classify the demand energy of vehicle. Then, the high efficiency range was adjusted according to the predicted demand energy level. Meanwhile, the SOC soft constraint range designed was also adjusted. Finally, the covariate was adaptively adjusted according to the principle of high efficiency within the SOC soft constraint range, otherwise it would be adjusted by SOC. The proposed method shows a good control effect in both optimizing power distribution and controlling SOC range on a mild hybrid vehicle simulation platform.