混合动力汽车驱动意图识别转矩补偿控制策略

Torque Compensate Strategy of Hybrid Electric Vehicle Based on Driving Intention Recognition

通过车体冲击度对驾驶员驱动意图进行识别,并结合车辆的加速度确定了基于模糊控制的车辆驱动转矩补偿系数求解方法,在满足驾驶员需求的条件下,通过转矩补偿系数对电机补偿的发动机迟滞转矩进行优化,建立了基于工况的驱动意图识别转矩补偿控制策略。利用硬件在环平台在NEDC工况下对所制定的转矩补偿控制策略进行仿真分析,结果表明,在同等油耗条件下,所制定的转矩补偿策略与没有加入驱动意图识别的转矩补偿策略相比,电池SOC增加了2.1%。

In the paper, the driving intention is recognized through the vehicle jerk analysis. Subsequently, the recognition result is combined with the vehicle acceleration to ensure the vehicle torque correction coefficient by using the fuzzy logic method. The motor compensation torque is optimized by the vehicle torque correction coefficient on the premise of driver＇s power demands satisfied to establish the driving cycle and driving intention based upon engine torque compensation control strategy. The proposed torque compensation strategy is tested by a Hardware-In-Loop（HIL）simulation experiment under NEDC cycle. The simulation shows that the SOC of power battery is increased by 2.1%compared with the torque compensation strategy without driving intention recognition.