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

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Proceedings of China SAE Congress 2019: Selected Papers

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 646))

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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.

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).

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References

  1. Van Zanten, A.: Bosch ESP systems: 5 years of experience. SAE paper 2000-01-1633 (2000)

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  2. 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

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  3. 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

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Correspondence to Bingzhao Gao .

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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

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  • DOI: https://doi.org/10.1007/978-981-15-7945-5_22

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-7944-8

  • Online ISBN: 978-981-15-7945-5

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