基于无迹卡尔曼的分布式电动汽车状态估计  

Distributed Electric Vehicle State Estimation Based on Unscented Kalman

作　　者：何昊文 He Haowen(School of Automobile,Chang'an University,Shaanxi Xi'an 710064)

机构地区：[1]长安大学汽车学院,陕西西安710064

出　　处：《汽车实用技术》2020年第20期11-12,16,共3页Automobile Applied Technology

摘　　要：为了较准确地获取分布式电动汽车的状态信息,满足汽车稳定性控制的要求,文章以三自由度车辆动力学模型为基础,建立了基于无迹卡尔曼滤波的分布式电动汽车状态观测器,对双移线工况下分布式汽车的纵横向车速、横摆角速度、质心侧偏角进行了预测估计。In order to obtain the state information of distributed electric vehicles more accurately and meet the requirements of vehicle stability control,this paper builds a distributed electric vehicle state observer based on the unscented Kalman filter based on the three-degree-of-freedom vehicle dynamics model.The longitudinal and lateral vehicle speed,yaw rate and side slip angle of the distributed vehicle under the double-line shifting condition are predicted and estimated.

关 键 词：分布式电动汽车 无迹卡尔曼 横摆角速度 质心侧偏角 

分 类 号：U469.7[机械工程—车辆工程]