信息融合架构下的新型再生制动控制策略

再生制动能够实现能量的回收利用,是电动汽车重要的工作模式之一.现有的制动力分配方案对蓄电池和电机的限制因素考虑不够充分,能量回收效率和制动效能较低.对此,提出一种基于信息融合架构下的新型再生制动控制策略.在蓄电池和电机限制因素的基础上,综合考虑增加电动车的续驶里程和制动时的舒适性、安全性等因素,对于电动汽车的不同行驶工况具有自适应性,能够实现能量高效回收;对车辆行驶速度和制动强度进行特征提取和制动模式分类,从而根据特征匹配结果切换制动模式.最后,通过搭建Matlab/Simulink整车动力学仿真模型,验证所提出控制策略的有效性和先进性.

New type of regenerative braking control strategy based on information fusion

Regenerative braking can achieve energy recycling, which is one of the important working modes of electric vehicles. The existing braking force distribution scheme has inadequate consideration of battery and motor constraints, and the energy recovery efficiency and braking effectiveness are low. Therefore, this paper proposes a new controlling strategy of regenerative braking based on information fusion. On the basis of the battery and motor limiting factors, considering the increasing of electric vehicle mileage, as well as comfort and safety when braking and other factors, the proposed control strategy has self-adaptability to different driving conditions of electric vehicles, and can achieve energy efficient recovery. The characteristics of vehicle speed and braking intensity are extracted and the braking mode is classified, thus the braking mode is switched according to the matching result, and the effectiveness and progressiveness of the proposed control strategy is verified by building the Matlab/Simulink vehicle dynamics simulation model.