北京交通大学学报2016，Vol.40Issue(6)：102-106,5.DOI:10.11860/j.issn.1673-0291.2016.06.017
基于遗传粒子滤波的轮毂驱动电动汽车质心侧偏角估计方法
Vehicle body side slip angle estimation based on genetic particle filter for in-wheel-motored electric vehicle
摘要
Abstract
Vehicle body side slip angle (VBSSA)estimation is the key technology of vehicle dynamics control systems.In order to overcome the problems in existing estimation methods such as information used insufficiently and low accuracy,a VBSSA estimation method based on genetic particle filter (GPF) for in-wheel-motored electric vehicle is proposed.Given that the torque information of in-wheel-motored electric vehicle is available,tire forces can be generated based on the Magic Formula tire model.The ob-server of VBSSA is constructed based on the nonlinear vehicle dynamic model.The GPF is introduced to solve the VBSSA estimation problem in nonlinear conditions,and alleviate the problems of particle deg-radation and large amount of calculation.Simulation results show that the proposed method can improve the accuracy and robustness of VBSSA estimation.关键词
遗传粒子滤波/质心侧偏角估计/电动汽车/整车动力学模型Key words
genetic particle filter/vehicle body side slip angle estimation/electric vehicle/vehicle dynamics model分类
交通工程引用本文复制引用
孙传扬,张欣,靳彪..基于遗传粒子滤波的轮毂驱动电动汽车质心侧偏角估计方法[J].北京交通大学学报,2016,40(6):102-106,5.基金项目
中央高校基本科研业务费专项资金资助(M15JB00210) （M15JB00210）
