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2021 | OriginalPaper | Chapter

Vehicle Side Slip Angle Estimation Using Stiffness-Update Method and Extend Kalman Filter

Authors : Guangxu Che, Mengjian Tian, Bingzhao Gao

Published in: Proceedings of China SAE Congress 2019: Selected Papers

Publisher: Springer Singapore

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Abstract

For vehicle side slip angle estimation, a new method which can update the stiffness is proposed to improve the accuracy of the estimation. The design of the estimation loop is formalized into three main steps: vehicle model, the calculation of the key updating parameter K, the Extend Kalman Filter. Finally, the outcome of the designed estimation method is showed and compared with the real condition.

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Literature
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go back to reference Van Zanten, A.: Bosch ESP systems: 5 years of experience. SAE paper 2000-01-1633 (2000) Van Zanten, A.: Bosch ESP systems: 5 years of experience. SAE paper 2000-01-1633 (2000)
2.
go back to reference Zhao H, Gao B et al (2015) Integrated control of in-wheel motor electric vehicles using a triple-step nonlinear method. ScienceDirect 352:519–540MATH Zhao H, Gao B et al (2015) Integrated control of in-wheel motor electric vehicles using a triple-step nonlinear method. ScienceDirect 352:519–540MATH
3.
go back to reference Wenzel TA, Burnham KJ, Blundell MV et al (2006) Dual extended Kalman filter for vehicle state and parameter estimation. Veh Syst Dyn 44:153–171CrossRef Wenzel TA, Burnham KJ, Blundell MV et al (2006) Dual extended Kalman filter for vehicle state and parameter estimation. Veh Syst Dyn 44:153–171CrossRef
Metadata
Title
Vehicle Side Slip Angle Estimation Using Stiffness-Update Method and Extend Kalman Filter
Authors
Guangxu Che
Mengjian Tian
Bingzhao Gao
Copyright Year
2021
Publisher
Springer Singapore
DOI
https://doi.org/10.1007/978-981-15-7945-5_22

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