Vehicle body side slip angle estimation based on genetic particle filter for in-wheel-motored electric vehicle
SUN Chuanyang
ZHANG Xin
J IN Biao
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.
Keywords：genetic particle filtervehicle body side slip angle estimationelectric vehiclevehicle dynamics model
Publication Date：2016-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：5( 102-106 )