并联混合动力汽车自适应控制策略

Adaptive Control Strategy for Parallel Hybrid Electric Vehicles

提出了以电池电量平衡为目标的基于行驶循环识别的并联混合动力汽车自适应控制策略。其核心是一个负责发动机和电机之间转矩分配的两参数模糊控制单元。自适应调整模块由行驶循环识别和参数调整两部分组成,后者的目标是维持混合动力汽车在行驶过程中的电量平衡。这样,既可使电池尽可能保持在高效率区间内工作,又能合理控制电池的充放电,提高整车燃油经济性。仿真结果表明,对于多数行驶循环,该控制策略能够明显地提高混合动力汽车的燃油经济性。

An adaptive control strategy for parallel hybrid electric vehicles is proposed based on drive cycle recognition with the balance of battery SOC as objective. The core of the strategy is a two - parameter fuzzy control unit responsible for torque split between engine and electric motor. The adaptive adjustment module consists of two parts ： drive cycle recognition and parameter adjustment. The objective of the latter is to maintain the balance of battery SOC during vehicle operation. Thus, battery charge and discharge can be rationally controlled on the one hand, and the battery can work within its high efficiency zone as far as possible, on the other hand, both enhancing the fuel economy of vehicle. Simulation results show that the control strategy can markedly improve the fuel economy of hybrid electric vehicle for most of the drive cycles.