Estimation of vehicle state and road coefficient for electric vehicle through extended Kalman filter and RLS approaches

Cheng Lin; Gang Wang; Wan Ke Cao; Feng Jun Zhou

Estimation of vehicle state and road coefficient for electric vehicle through extended Kalman filter and RLS approaches

Cheng Lin^*, Gang Wang, Wan Ke Cao, Feng Jun Zhou

^*此作品的通讯作者

机械与车辆学院

Beijing Institute of Technology

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

3 引用（Scopus）

摘要

Estimation of vehicle state (e.g., vehicle velocity and sideslip angle) and road friction coefficient is essential for electric vehicle stability control. This article proposes a novel real-time model-based vehicle estimator, which can be used for estimation of vehicle state and road friction coefficient for the distributed driven electric vehicle. The estimator is realized using the extended Kalman filter (EKF) and the recursive least squares (RLS) technique. The proposed estimation algorithm is evaluated through simulation and experimental test. Results to data indicate that the proposed approach is effective and it has the ability to provide with reliable information for vehicle active safety control.

源语言	英语
主期刊名	Proceedings of the 2nd International Conference on Electronic and Mechanical Engineering and Information Technology, EMEIT 2012
页	2216-2220
页数	5
出版状态	已出版 - 2012
活动	2012 2nd International Conference on Electronic and Mechanical Engineering and Information Technology, EMEIT 2012 - Shenyang, Liaoning, 中国期限: 26 9月 2012 → 28 9月 2012

出版系列

姓名	Proceedings of the 2nd International Conference on Electronic and Mechanical Engineering and Information Technology, EMEIT 2012

会议

会议	2012 2nd International Conference on Electronic and Mechanical Engineering and Information Technology, EMEIT 2012
国家/地区	中国
市	Shenyang, Liaoning
时期	26/09/12 → 28/09/12

其它文件与链接

链接到 Scopus 的出版物

引用此

Lin, C., Wang, G., Cao, W. K., & Zhou, F. J. (2012). Estimation of vehicle state and road coefficient for electric vehicle through extended Kalman filter and RLS approaches. 在 Proceedings of the 2nd International Conference on Electronic and Mechanical Engineering and Information Technology, EMEIT 2012 (页码 2216-2220). (Proceedings of the 2nd International Conference on Electronic and Mechanical Engineering and Information Technology, EMEIT 2012).

Lin, Cheng ; Wang, Gang ; Cao, Wan Ke 等. / Estimation of vehicle state and road coefficient for electric vehicle through extended Kalman filter and RLS approaches. Proceedings of the 2nd International Conference on Electronic and Mechanical Engineering and Information Technology, EMEIT 2012. 2012. 页码 2216-2220 (Proceedings of the 2nd International Conference on Electronic and Mechanical Engineering and Information Technology, EMEIT 2012).

@inproceedings{e71472fc3ad545e8a6f8c19f5ed959dc,

title = "Estimation of vehicle state and road coefficient for electric vehicle through extended Kalman filter and RLS approaches",

abstract = "Estimation of vehicle state (e.g., vehicle velocity and sideslip angle) and road friction coefficient is essential for electric vehicle stability control. This article proposes a novel real-time model-based vehicle estimator, which can be used for estimation of vehicle state and road friction coefficient for the distributed driven electric vehicle. The estimator is realized using the extended Kalman filter (EKF) and the recursive least squares (RLS) technique. The proposed estimation algorithm is evaluated through simulation and experimental test. Results to data indicate that the proposed approach is effective and it has the ability to provide with reliable information for vehicle active safety control.",

keywords = "Electric vehicle, Estimation of vehicle state and road coefficient, Extended Kalman filter (EKF), Recursive least squares (RLS)",

author = "Cheng Lin and Gang Wang and Cao, {Wan Ke} and Zhou, {Feng Jun}",

year = "2012",

language = "English",

isbn = "9789078677604",

series = "Proceedings of the 2nd International Conference on Electronic and Mechanical Engineering and Information Technology, EMEIT 2012",

pages = "2216--2220",

booktitle = "Proceedings of the 2nd International Conference on Electronic and Mechanical Engineering and Information Technology, EMEIT 2012",

note = "2012 2nd International Conference on Electronic and Mechanical Engineering and Information Technology, EMEIT 2012 ; Conference date: 26-09-2012 Through 28-09-2012",

}

Lin, C, Wang, G, Cao, WK & Zhou, FJ 2012, Estimation of vehicle state and road coefficient for electric vehicle through extended Kalman filter and RLS approaches. 在 Proceedings of the 2nd International Conference on Electronic and Mechanical Engineering and Information Technology, EMEIT 2012. Proceedings of the 2nd International Conference on Electronic and Mechanical Engineering and Information Technology, EMEIT 2012, 页码 2216-2220, 2012 2nd International Conference on Electronic and Mechanical Engineering and Information Technology, EMEIT 2012, Shenyang, Liaoning, 中国, 26/09/12.

Estimation of vehicle state and road coefficient for electric vehicle through extended Kalman filter and RLS approaches. / Lin, Cheng; Wang, Gang; Cao, Wan Ke 等.
Proceedings of the 2nd International Conference on Electronic and Mechanical Engineering and Information Technology, EMEIT 2012. 2012. 页码 2216-2220 (Proceedings of the 2nd International Conference on Electronic and Mechanical Engineering and Information Technology, EMEIT 2012).

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

TY - GEN

T1 - Estimation of vehicle state and road coefficient for electric vehicle through extended Kalman filter and RLS approaches

AU - Lin, Cheng

AU - Wang, Gang

AU - Cao, Wan Ke

AU - Zhou, Feng Jun

PY - 2012

Y1 - 2012

N2 - Estimation of vehicle state (e.g., vehicle velocity and sideslip angle) and road friction coefficient is essential for electric vehicle stability control. This article proposes a novel real-time model-based vehicle estimator, which can be used for estimation of vehicle state and road friction coefficient for the distributed driven electric vehicle. The estimator is realized using the extended Kalman filter (EKF) and the recursive least squares (RLS) technique. The proposed estimation algorithm is evaluated through simulation and experimental test. Results to data indicate that the proposed approach is effective and it has the ability to provide with reliable information for vehicle active safety control.

AB - Estimation of vehicle state (e.g., vehicle velocity and sideslip angle) and road friction coefficient is essential for electric vehicle stability control. This article proposes a novel real-time model-based vehicle estimator, which can be used for estimation of vehicle state and road friction coefficient for the distributed driven electric vehicle. The estimator is realized using the extended Kalman filter (EKF) and the recursive least squares (RLS) technique. The proposed estimation algorithm is evaluated through simulation and experimental test. Results to data indicate that the proposed approach is effective and it has the ability to provide with reliable information for vehicle active safety control.

KW - Electric vehicle

KW - Estimation of vehicle state and road coefficient

KW - Extended Kalman filter (EKF)

KW - Recursive least squares (RLS)

UR - http://www.scopus.com/inward/record.url?scp=84871310260&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:84871310260

SN - 9789078677604

T3 - Proceedings of the 2nd International Conference on Electronic and Mechanical Engineering and Information Technology, EMEIT 2012

SP - 2216

EP - 2220

BT - Proceedings of the 2nd International Conference on Electronic and Mechanical Engineering and Information Technology, EMEIT 2012

T2 - 2012 2nd International Conference on Electronic and Mechanical Engineering and Information Technology, EMEIT 2012

Y2 - 26 September 2012 through 28 September 2012

ER -

Lin C, Wang G, Cao WK, Zhou FJ. Estimation of vehicle state and road coefficient for electric vehicle through extended Kalman filter and RLS approaches. 在 Proceedings of the 2nd International Conference on Electronic and Mechanical Engineering and Information Technology, EMEIT 2012. 2012. 页码 2216-2220. (Proceedings of the 2nd International Conference on Electronic and Mechanical Engineering and Information Technology, EMEIT 2012).

Estimation of vehicle state and road coefficient for electric vehicle through extended Kalman filter and RLS approaches

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出版系列

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