能量管理策略作为混合动力汽车（hybrid electric vehicle, HEV)的控制核心，其性能优劣直接影响整车在道路工况下的燃油经济性。首先，选取了相对立方速度和正动能作为特征参数表征道路工况。其次，建立了混合动力汽车的动力学模型，包括车辆纵向动力学模型、发动机模型、驱动电机模型和动力电池模型。然后，通过工况相似度分析选取了代表性的循环工况，并提取了工况的特征参数来评价混合动力汽车的能耗。同时，根据参数近似程度选取CLTC低中速部分作为道路工况的代表性循环工况。最后，基于动态规划构建的最优策略模型指导HEV规则能量管理策略的优化。仿真计算结果表明，在实际道路工况下，优化后的能量管理策略相比原策略油耗降低1.6%~3%。

As the core control of hybrid electric vehicles (HEVs), energy management strategy directly affects the fuel economy of vehicle under road conditions. The relative cubic velocity and positive kinetic energy were first selected as characteristic parameters to represent road conditions. A dynamic model of HEV was then established, including the longitudinal dynamics model, engine model, drive motor model, and power battery model. The representative cyclic conditions were further selected by condition similarity analysis, and the characteristic parameters of conditions were extracted to evaluate the energy consumption of HEV. Meanwhile, the low and medium speed portions of CLTC were selected as representative cyclic conditions for road conditions based on the degree of parameter approximation. Finally, an optimization strategy model based on dynamic programming guided the optimization of HEV's rule-based energy management strategy. The simulation results show that the optimized energy management strategy reduces HEV fuel consumption by 1.6% to 3% under real road conditions.