飞轮混合动力系统（planetary gear set based flywheel hybrid electric powertrain, PGS-FHEP）在提高车辆性能和能源利用率方面具有巨大优势。本文研究对其主要部件进行了设计和匹配，并在等效能耗最小控制策略（equivalent consumption minimization strategy, ECMS）的基础上，引入动态规划（dynamic programming, DP）控制策略获取最优电池荷电状态（state of charge, SOC）轨迹，通过实时调整遗传算法（genetic algorithm, GA）求得的初始最优等效因子，确保实际SOC轨迹与最优轨迹相符，从而搭建了一种可实时控制的自适应等效能耗最小控制策略（adaptive equivalent consumption minimization strategy, A-ECMS），最终在中国轻型商用车行驶工况（China light-duty commercial vehicle test cycle, CLTC-C）工况下对三种控制策略进行了仿真对比。结果表明，在A-ECMS控制下，较传统ECMS相比，加装PGS-FHEP的飞轮混合动力汽车（flywheel hybrid electric vehicle, FHEV）综合能耗降低了2.51%，控制效果更接近DP控制策略；系统能量回收率可达57.72%，其中，飞轮以机械能形式回收占比23.64%。此外，能量回收过程中，飞轮的参与使电池的峰值功率显著降低。

Vehicle performance and energy efficiency can be significantly enhanced by PGS-FHEP (planetary gear set based flywheel hybrid electric powertrain). The main components were designed and matched, and DP (dynamic programming) control strategy was introduced based on ECMS (equivalent consumption minimization strategy) to obtain the optimal SOC (state of charge) trajectory. The initial optimal equivalent factor obtained by GA (genetic algorithm) was adjusted in real time to ensure that the actual SOC trajectory is consistent with the optimal trajectory. Thus, a real-time A-ECMS (adaptive equivalent consumption minimization strategy) was built, and the three control strategies were simulated and compared under CLTC-C (China light-duty commercial vehicle test cycle) condition. The results show that under the control of A-ECMS, compared with the traditional ECMS, the comprehensive energy consumption of FHEV (flywheel hybrid electric vehicle) equipped with the PGS-FHEP is reduced by 2.51%, and the control effect is closer to the DP control strategy. The energy recovery rate of the PGS-FHEP is 57.72%, of which 23.64% is recovered in the form of mechanical energy. In addition, the participation of the flywheel significantly reduces the peak power of the battery during energy recovery process.