太原理工大学学报2024，Vol.55Issue(4)：612-618,7.DOI:10.16355/j.tyut.1007-9432.20230830
分布式驱动电动汽车状态与路面附着系数估计
Estimation of State and Road Adhesion Coefficient for Distributed Drive Electric Vehicles
摘要
Abstract
[Purposes]Accurate acquisition of vehicle driving state parameters and road adhe-sion coefficient is very important to maintain the safety and stability of distributed drive electric vehicles.Therefore,it is necessary to get an algorithm that can accurately estimate the parame-ters,which can not only reduce the cost of mass production vehicles,but also achieve the purpose of vehicle safety and stability.[Methods]In this paper,a joint estimation algorithm is investiga-ted.First,a 3-degree-of-freedom vehicle model is established,and a parameter estimator is built by applying the volumetric Kalman filtering algorithm based on the singular value decomposition method.Then,the Carsim/Simulink simulation experiment platform is built,and high and low attachments and buttressing road double shift line conditions are used for simulation verification.[Findings]The simulation experiment results show that the estimator can estimate the real values of parameters more accurately.On the basis of the good estimation effect of the simulation,a re-al vehicle experimental platform is built,and further verification is carried out to conclude that the real-vehicle experimental results are consistent with the trend of the simulation results,and the algorithm has good estimation accuracy and timeliness.关键词
分布式驱动电动汽车/容积卡尔曼滤波/奇异值分解/行驶状态参数/路面附着系数Key words
distributed drive electric vehicles/volumetric Kalman filtering/singular value de-composition/driving state parameters/road surface adhesion coefficient分类
交通工程引用本文复制引用
袁媛,王航,赵鹏举,程青丽..分布式驱动电动汽车状态与路面附着系数估计[J].太原理工大学学报,2024,55(4):612-618,7.基金项目
山西省科技成果转化引导专项(202204021301060) （202204021301060）
