融合驾驶风格识别的插电式混合动力汽车自适应控制策略

考虑到驾驶风格对燃油经济性的影响较大，提出了一种融合驾驶风格识别的自适应控制策略，用于插电式混合动力汽车发动机和电机之间的实时扭矩分配。 构建出两种驾驶风格识别模型，在获得驾驶风格识别模型后，考虑到对各种驾驶风格的适应性，融合识别的驾驶风格类别，提出了一种与基于自适应等效因子算法的 PI 模糊更新规则相结合的等效消耗最小化策略 (ECMS)。根据最小等效燃油消耗控制算法和电池电量平衡控制方法，结合驾驶风格识别的结果调用相应最优控制参数，对发动机和电池的功率分配进行实时优化计算，实现对整车的控制。将一段工况使用所指定的能量管理策略，仿真结果表明，融合驾驶风格识别的策略在燃油经济性最高提升了10.5%，汽车的HC,CO,NOx总排放最高降低了11%,，发动机，电机工作点更好的运行在最佳区域中。

Adaptive control strategy of plug-in hybrid electric vehicle integrated with driving style recognition

Considering that driving style has a great impact on fuel economy, an adaptive control strategy integrating driving style recognition is proposed for real-time torque distribution between plug-in hybrid electric vehicle engines and motors. Two driving style recognition models are constructed. After establishing the driving style recognition model, considering the adaptability to various driving styles, an equivalent consumption minimization strategy (ECMS) combined with PI fuzzy update rules is proposed based on adaptive equivalent factor algorithm. According to the minimum equivalent fuel consumption control algorithm and the battery power balance control method, combined with the result of driving style recognition, the corresponding optimal control parameters are provided, and the power distribution of the engine and the battery is optimized in real time to realize the control of the vehicle. The provided energy management strategy is used for a period of working conditions and the simulation results show that the strategy of integrating driving style recognition improved fuel economy 10.5%, and reduced the total emissions of HC, CO, and NOx 11%. The working point of engine, motor operated in the best working area.