基于驾驶风格识别的混合动力汽车能量管理策略

为了进一步提高混合动力汽车的燃油经济性,针对驾驶员的驾驶风格对混合动力汽车的燃油经济性有较大影响的问题。通过对驾驶操作引起的汽车行驶过程的车体冲击度分析,确定不同类型行驶工况下的驾驶风格区分方法,应用该方法在所采集的大量行驶工况数据上,得到不同驾驶风格的车速信息。将行驶工况识别算法、不同驾驶风格的车速信息、等效燃油最小能量管理策略相结合,获取不同驾驶风格下的最优需求功率分配方式,从而建立基于驾驶风格识别的能量管理策略。对一段随机工况应用所制定的能量管理策略,仿真结果表明,所提出的控制策略比不考虑驾驶风格的等效燃油最小能量管理策略燃油经济性提高了8.47%,发动机工作点更好地运行在其最佳效率曲线附近,电池SOC更稳定且更好地维持在高效区域。

Management Strategy of Hybrid Electrical Vehicle Based on Driving Style Recognition

To improve fuel economy of the hybrid electrical vehicle(HEV), this article aimed at present energy management strategy wasn't considered the impact of fuel economy bring by different driving styles. Used jerk analysis which is caused by the vehicle traveling state for getting the method to distinguish different driving styles under different driving cycles. Speed of different driving styles is gained by this method. The optimal power distribution with combination of driving cycle identification, speed of different driving styles, equivalent consumption minimization strategy to formulate the energy management strategy of HEV based on driving style recognition are acquired. The new energy management strategy to a stochastic driving cycle is applied. The simulation results demonstrate that relative to the control strategy without driver style recognition, the formulated control strategy make the fuel consumption reduce 8.47%, engine operating points are more adjacent to the engine's optimal efficiency curve, battery SOC is more steady and better maintaining in high efficient area.