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.
This project is supported by National Nature Science Foundation of China (U166420018) and Construction of Science and Technology Innovation Platform of Qingdao, China (16-10-3-1-jch).
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Van Zanten, A.: Bosch ESP systems: 5Â years of experience. SAE paper 2000-01-1633 (2000)
Zhao H, Gao B et al (2015) Integrated control of in-wheel motor electric vehicles using a triple-step nonlinear method. ScienceDirect 352:519–540
Wenzel TA, Burnham KJ, Blundell MV et al (2006) Dual extended Kalman filter for vehicle state and parameter estimation. Veh Syst Dyn 44:153–171
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Che, G., Tian, M., Gao, B. (2021). Vehicle Side Slip Angle Estimation Using Stiffness-Update Method and Extend Kalman Filter. In: Proceedings of China SAE Congress 2019: Selected Papers. Lecture Notes in Electrical Engineering, vol 646. Springer, Singapore. https://doi.org/10.1007/978-981-15-7945-5_22
Download citation
DOI: https://doi.org/10.1007/978-981-15-7945-5_22
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-15-7944-8
Online ISBN: 978-981-15-7945-5
eBook Packages: EngineeringEngineering (R0)