Vehicle State Observation Based on the Combined Estimation Method

Yong Chen; Hongbin Ren; Sizhong Chen; Zepeng Gao; Weichi Chen; Zechao Li; Xiaotian Zhou

doi:10.1007/978-981-16-2090-4_36

Vehicle State Observation Based on the Combined Estimation Method

Yong Chen^*, Hongbin Ren, Sizhong Chen, Zepeng Gao, Weichi Chen, Zechao Li, Xiaotian Zhou

^*Corresponding author for this work

School of Mechanical Engineering

Beijing Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

The vehicle state estimation is of great importance for the vehicle dynamics control. A novel method is proposed to estimate the tire force and vehicle state with high precision. The tire vertical force estimation considers dynamics load changes which includes the longitudinal acceleration load transfer, the lateral acceleration load transfer and the roll motion of the vehicle body transfer. The longitudinal speed, the lateral speed, the yaw rate and the tire lateral forces are combined estimated based on combined estimation method. The Co-simulation results based on the Carsim and Matlab/Simulink shows the novel method can estimate the vehicle state with great precision.

Original language	English
Title of host publication	Proceedings of China SAE Congress 2020
Subtitle of host publication	Selected Papers
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	589-601
Number of pages	13
ISBN (Print)	9789811620898
DOIs	https://doi.org/10.1007/978-981-16-2090-4_36
Publication status	Published - 2022
Event	China SAE Congress, 2020 - Shanghai, China Duration: 27 Oct 2020 → 29 Oct 2020

Publication series

Name	Lecture Notes in Electrical Engineering
Volume	769
ISSN (Print)	1876-1100
ISSN (Electronic)	1876-1119

Conference

Conference	China SAE Congress, 2020
Country/Territory	China
City	Shanghai
Period	27/10/20 → 29/10/20

Keywords

The combined estimation
The vehicle state estimation
Tire lateral force estimation

Access to Document

10.1007/978-981-16-2090-4_36

Cite this

@inproceedings{65f4d2d9f5534112b9f2f96d6a7fe0f9,

title = "Vehicle State Observation Based on the Combined Estimation Method",

abstract = "The vehicle state estimation is of great importance for the vehicle dynamics control. A novel method is proposed to estimate the tire force and vehicle state with high precision. The tire vertical force estimation considers dynamics load changes which includes the longitudinal acceleration load transfer, the lateral acceleration load transfer and the roll motion of the vehicle body transfer. The longitudinal speed, the lateral speed, the yaw rate and the tire lateral forces are combined estimated based on combined estimation method. The Co-simulation results based on the Carsim and Matlab/Simulink shows the novel method can estimate the vehicle state with great precision.",

keywords = "The combined estimation, The vehicle state estimation, Tire lateral force estimation",

author = "Yong Chen and Hongbin Ren and Sizhong Chen and Zepeng Gao and Weichi Chen and Zechao Li and Xiaotian Zhou",

note = "Publisher Copyright: {\textcopyright} 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.; China SAE Congress, 2020 ; Conference date: 27-10-2020 Through 29-10-2020",

year = "2022",

doi = "10.1007/978-981-16-2090-4_36",

language = "English",

isbn = "9789811620898",

series = "Lecture Notes in Electrical Engineering",

publisher = "Springer Science and Business Media Deutschland GmbH",

pages = "589--601",

booktitle = "Proceedings of China SAE Congress 2020",

address = "Germany",

}

Chen, Y, Ren, H, Chen, S, Gao, Z, Chen, W, Li, Z & Zhou, X 2022, Vehicle State Observation Based on the Combined Estimation Method. in Proceedings of China SAE Congress 2020: Selected Papers. Lecture Notes in Electrical Engineering, vol. 769, Springer Science and Business Media Deutschland GmbH, pp. 589-601, China SAE Congress, 2020, Shanghai, China, 27/10/20. https://doi.org/10.1007/978-981-16-2090-4_36

Vehicle State Observation Based on the Combined Estimation Method. / Chen, Yong; Ren, Hongbin; Chen, Sizhong et al.
Proceedings of China SAE Congress 2020: Selected Papers. Springer Science and Business Media Deutschland GmbH, 2022. p. 589-601 (Lecture Notes in Electrical Engineering; Vol. 769).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Vehicle State Observation Based on the Combined Estimation Method

AU - Chen, Yong

AU - Ren, Hongbin

AU - Chen, Sizhong

AU - Gao, Zepeng

AU - Chen, Weichi

AU - Li, Zechao

AU - Zhou, Xiaotian

PY - 2022

Y1 - 2022

N2 - The vehicle state estimation is of great importance for the vehicle dynamics control. A novel method is proposed to estimate the tire force and vehicle state with high precision. The tire vertical force estimation considers dynamics load changes which includes the longitudinal acceleration load transfer, the lateral acceleration load transfer and the roll motion of the vehicle body transfer. The longitudinal speed, the lateral speed, the yaw rate and the tire lateral forces are combined estimated based on combined estimation method. The Co-simulation results based on the Carsim and Matlab/Simulink shows the novel method can estimate the vehicle state with great precision.

AB - The vehicle state estimation is of great importance for the vehicle dynamics control. A novel method is proposed to estimate the tire force and vehicle state with high precision. The tire vertical force estimation considers dynamics load changes which includes the longitudinal acceleration load transfer, the lateral acceleration load transfer and the roll motion of the vehicle body transfer. The longitudinal speed, the lateral speed, the yaw rate and the tire lateral forces are combined estimated based on combined estimation method. The Co-simulation results based on the Carsim and Matlab/Simulink shows the novel method can estimate the vehicle state with great precision.

KW - The combined estimation

KW - The vehicle state estimation

KW - Tire lateral force estimation

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U2 - 10.1007/978-981-16-2090-4_36

DO - 10.1007/978-981-16-2090-4_36

M3 - Conference contribution

AN - SCOPUS:85123981724

SN - 9789811620898

T3 - Lecture Notes in Electrical Engineering

SP - 589

EP - 601

BT - Proceedings of China SAE Congress 2020

PB - Springer Science and Business Media Deutschland GmbH

T2 - China SAE Congress, 2020

Y2 - 27 October 2020 through 29 October 2020

ER -

Vehicle State Observation Based on the Combined Estimation Method

Abstract

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Keywords

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