Vehicle Dynamic State Estimation:State of the Art Schemes and Perspectives

被引:11
作者
Hongyan Guo [1 ,2 ]
Dongpu Cao [1 ,3 ]
Hong Chen [1 ,2 ]
Chen Lv [1 ,4 ]
Huaji Wang [4 ]
Siqi Yang [2 ]
机构
[1] IEEE
[2] State Key Laboratory of Automotive Simulation and Control and the Department of Control Science and Engineering, Jilin University (Campus Nanling)
[3] the Mechanical and Mechatronics Engineering Department at the University of Waterloo
[4] Department of Automotive Engineering, Cranfield University
关键词
Estimation structure; extended Kalman filter; sensor configuration; sideslip angle estimation; vehicle dynamic state estimation; vehicle dynamics model;
D O I
暂无
中图分类号
U463.6 [电气设备及附件];
学科分类号
080204 ; 082304 ;
摘要
Next-generation vehicle control and future autonomous driving require further advances in vehicle dynamic state estimation. This article provides a concise review, along with the perspectives, of the recent developments in the estimation of vehicle dynamic states. The definitions used in vehicle dynamic state estimation are first introduced, and alternative estimation structures are presented. Then, the sensor configuration schemes used to estimate vehicle velocity, sideslip angle, yaw rate and roll angle are presented. The vehicle models used for vehicle dynamic state estimation are further summarized, and representative estimation approaches are discussed. Future concerns and perspectives for vehicle dynamic state estimation are also discussed.
引用
收藏
页码:418 / 431
页数:14
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