道路坡度识别的混合动力客车模式切换控制策略  

Mode switching control strategy of HEBbased on identification of road gradient

作　　者：杨杰 高爱云 范卫峰 付主木 张玮 YANG Jie;GAO Aiyun;FAN Weifeng;FU Zhumu;ZHANG Wei(College of Vehicle and Traffic Engineering,Henan University of Science and Technology,Luoyang 471003,China;College of Information Engineering,Henan University of Science and Technology,Luoyang 471023,China)

机构地区：[1]河南科技大学车辆与交通工程学院,河南洛阳471003 [2]河南科技大学信息工程学院,河南洛阳471023

出　　处：《重庆理工大学学报（自然科学）》2023年第8期30-37,共8页Journal of Chongqing University of Technology：Natural Science

基　　金：国家自然科学基金项目(U1804150);中原科技创新领军人才项目(194200510012)。

摘　　要：模式切换是混合汽车的核心技术之一,决定了车辆的平顺性和乘客的舒适性。针对目前混合动力客车的模式切换没有考虑实际道路坡度的问题,基于洛阳市某旅游路线的混合动力客车实际的道路行驶工况,采用纵向动力学算法进行道路坡度识别,再利用BP神经网络算法对未来时间内的车速进行预测,根据已知的道路坡度和车辆的未来车速利用汽车动力学公式求得需求转矩,根据需求转矩以及SOC值进行模式状态确定,使汽车在有发动机介入时的模式时提前完成模式切换,避免汽车在上坡过程中动力不足。实验仿真结果表明:该控制策略可以使汽车在即将上坡时提前完成模式切换,提高了驾驶性能,避免了上坡动力不足。Mode switching is one of the core technologies of hybrid vehicles,which determines vehicle ride comfort and passenger comfort.Aiming at the problem that the current mode switching of hybrid electric bus(HEB)does not take into account the actual road gradient,this paper uses longitudinal dynamics algorithm to identify the road slope based on the actual road driving condition of the hybrid electric bus on a tourist route in Luoyang Cityand then uses the BP neural network algorithm to predict the speed in the future.According to the known road gradient and the future speed of the vehicle,the demand torque is obtained using the vehicle dynamics formula.The mode status is determined according to the required torque and SOC value,so that the mode switching can be completed in advance when the engine is involved in the mode,and the problem of insufficient power can be avoided when the vehicle is going uphill.The experimental simulation results show that the control strategy can make the vehicle complete the mode witching ahead of time when it is about to go uphill,improve the driving performance,and avoid the problem of insufficient uphill power.

关 键 词：道路坡度识别 BP神经网络 控制策略 模式切换 

分 类 号：U461[机械工程—车辆工程]