Energy management strategies are critical for hybrid electric vehicles (HEVs) to improve fuel economy. To solve the dual-mode HEV energy management problem combined with switching schedule and power distribution, a hierarchical control strategy is proposed in this paper. The mode planning controller is twofold. First, the mode schedule is obtained according to the mode switch map and driving condition, then a switch hunting suppression algorithm is proposed to flatten the mode schedule through eliminating unnecessary switch. The proposed algorithm can reduce switch frequency while fuel consumption remains nearly unchanged. The power distribution controller receives the mode schedule and optimizes power distribution between the engine and battery based on the Radau pseudospectral knotting method (RPKM). Simulations are implemented to verify the effectiveness of the proposed hierarchical control strategy. For the mode planning controller, as the flattening threshold value increases, the fuel consumption remains nearly unchanged, however, the switch frequency decreases significantly. For the power distribution controller, the fuel consumption obtained by RPKM is 4.29% higher than that of DP, while the elapsed time is reduced by 92.53%.

能源管理策略对于混合动力电动汽车 (HEV) 提高燃油经济性至关重要。为了解决结合切换调度和功率分配的双模式混合动力汽车能源管理问题，本文提出了一种分层控制策略。模式规划控制器是双重的。首先，根据模式切换图和驾驶条件获得模式调度，然后提出一种开关振荡抑制算法，通过消除不必要的切换来扁平化模式调度。所提出的算法可以降低开关频率，而油耗几乎保持不变。功率分配控制器接收模式调度并基于 Radau 伪谱结法 (RPKM) 优化发动机和电池之间的功率分配。实施仿真以验证所提出的分层控制策略的有效性。对于模式规划控制器，随着平坦化阈值的增加，燃料消耗几乎保持不变，但切换频率显着降低。对于配电控制器，RPKM 获得的油耗比 DP 高 4.29%，而运行时间减少 92.53%。