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2020 | OriginalPaper | Chapter

Development of Longitudinal Slope Estimation Algorithm for Premium SUV

Authors : Jian Zhang, Wang Yu, Liu Ye, Wang Kang

Published in: Proceedings of China SAE Congress 2018: Selected Papers

Publisher: Springer Singapore

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Abstract

In this paper, a longitudinal slope estimation algorithm for a premium SUV is developed. First, the longitudinal dynamic vehicle model is established, and two longitudinal slope estimation methods are proposed. Furthermore, the longitudinal acceleration is corrected by suspension displacements from semi-active suspension system. Then, two Luenberger observers for longitudinal slope estimation are proposed based on variable of vehicle information. Then, the algorithm prototype is proposed by MATLAB/SIMULINK, and the code is generated and embedded into the vehicle ECU. Finally, the experiment system is established, and the performance of the proposed algorithm is verified by road test.

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Literature
1.
Wang H, Yuan Q, Zhong H et al (2014) Research on the hill-start auto control for the vehicles with EPB. Trans Beijing Inst Technol 34(4):344–348
2.
Li G (2016) Estimation of vehicle mass and road slope and their influence on electric vehicle’s shift schedule. Jilin University
3.
Lei Y, Fu Y, Liu Ket al (2014) Vehicle mass and road grade estimation based on extended Kalman filter. Trans Chin Soc Agric Mach 45(11):9–13+8
4.
Ran X, Li L, Zhao X et al (2019) Real-time recognition algorithm of longitudinal road slope based on vehicle dynamics and acceleration sensor information. J Mech Eng 52(18):98–104
5.
Yang Z, Cao C, Su Y (2002) The method of identifying dynamically road grade by means of multi-sensor information fusion. J Chongqing Jiaotong Univ (Soc Sci Ed) 21(2):97–102
6.
Yun H, Zhao Y, Zhong Z (2010) On-line SOC estimation of li-ion battery using luenberger closed-loop states observer. Chin Mech Eng 21(20):2505–2509
Metadata
Title
Development of Longitudinal Slope Estimation Algorithm for Premium SUV
Authors
Jian Zhang
Wang Yu
Liu Ye
Wang Kang
Copyright Year
2020
Publisher
Springer Singapore
Book
Proceedings of China SAE Congress 2018: Selected Papers

Print ISBN: 978-981-13-9717-2

Electronic ISBN: 978-981-13-9718-9

Copyright Year: 2020

DOI
https://doi.org/10.1007/978-981-13-9718-9_68

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