ACC of electric vehicles with coordination control of fuel economy and tracking safety

Ruina Dang; Chaozhe He; Qiang Zhang; Keqiang Li; Yusheng Li

doi:10.1109/IVS.2012.6232121

ACC of electric vehicles with coordination control of fuel economy and tracking safety

Ruina Dang
, Chaozhe He
, Qiang Zhang
, Keqiang Li
, Yusheng Li

Department of Mechanical and Aerospace Engineering

Tsinghua University
China North Vehicle Research Institute
Changan Automobile Co., Ltd.

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

14 Scopus citations

Abstract

An adaptive cruise control system of electric vehicles is proposed, considering both fuel economy and tracking safety with model predictive control theory. Firstly, the mathematical relationship between fuel cost and longitudinal acceleration is analyzed through a simulation model. Secondly the 2-norm number is adopted to indicate the integrated cost function, which integrates economy performance and tracking performance together. Finally the proposed optimization problem is solved by model predictive control theory, and a contrast controller is built with linear quadratic algorithm. Both simulation and real vehicle test results show that the MPC controller can reduce fuel cost by above 5% than LQ controller in the range of safe tracking, and it successfully coordinates fuel economy and tracking safety.

Original language	English
Title of host publication	2012 IEEE Intelligent Vehicles Symposium, IV 2012
Pages	240-245
Number of pages	6
DOIs	https://doi.org/10.1109/IVS.2012.6232121
State	Published - 2012
Event	2012 IEEE Intelligent Vehicles Symposium, IV 2012 - Alcal de Henares, Madrid, Spain Duration: Jun 3 2012 → Jun 7 2012

Publication series

Name	IEEE Intelligent Vehicles Symposium, Proceedings

Conference

Conference	2012 IEEE Intelligent Vehicles Symposium, IV 2012
Country/Territory	Spain
City	Alcal de Henares, Madrid
Period	06/3/12 → 06/7/12

Keywords

Adaptive Cruise Control
Electric Vehicles
Energy Saving
Model Predictive Control

Access to Document

10.1109/IVS.2012.6232121

Cite this

@inproceedings{f5848de0f2aa48c5a7b40eb500907117,

title = "ACC of electric vehicles with coordination control of fuel economy and tracking safety",

abstract = "An adaptive cruise control system of electric vehicles is proposed, considering both fuel economy and tracking safety with model predictive control theory. Firstly, the mathematical relationship between fuel cost and longitudinal acceleration is analyzed through a simulation model. Secondly the 2-norm number is adopted to indicate the integrated cost function, which integrates economy performance and tracking performance together. Finally the proposed optimization problem is solved by model predictive control theory, and a contrast controller is built with linear quadratic algorithm. Both simulation and real vehicle test results show that the MPC controller can reduce fuel cost by above 5\% than LQ controller in the range of safe tracking, and it successfully coordinates fuel economy and tracking safety.",

keywords = "Adaptive Cruise Control, Electric Vehicles, Energy Saving, Model Predictive Control",

author = "Ruina Dang and Chaozhe He and Qiang Zhang and Keqiang Li and Yusheng Li",

year = "2012",

doi = "10.1109/IVS.2012.6232121",

language = "English",

isbn = "9781467321198",

series = "IEEE Intelligent Vehicles Symposium, Proceedings",

pages = "240--245",

booktitle = "2012 IEEE Intelligent Vehicles Symposium, IV 2012",

note = "2012 IEEE Intelligent Vehicles Symposium, IV 2012 ; Conference date: 03-06-2012 Through 07-06-2012",

}

Dang, R, He, C, Zhang, Q, Li, K & Li, Y 2012, ACC of electric vehicles with coordination control of fuel economy and tracking safety. in 2012 IEEE Intelligent Vehicles Symposium, IV 2012., 6232121, IEEE Intelligent Vehicles Symposium, Proceedings, pp. 240-245, 2012 IEEE Intelligent Vehicles Symposium, IV 2012, Alcal de Henares, Madrid, Spain, 06/3/12. https://doi.org/10.1109/IVS.2012.6232121

TY - GEN

T1 - ACC of electric vehicles with coordination control of fuel economy and tracking safety

AU - Dang, Ruina

AU - He, Chaozhe

AU - Zhang, Qiang

AU - Li, Keqiang

AU - Li, Yusheng

PY - 2012

Y1 - 2012

N2 - An adaptive cruise control system of electric vehicles is proposed, considering both fuel economy and tracking safety with model predictive control theory. Firstly, the mathematical relationship between fuel cost and longitudinal acceleration is analyzed through a simulation model. Secondly the 2-norm number is adopted to indicate the integrated cost function, which integrates economy performance and tracking performance together. Finally the proposed optimization problem is solved by model predictive control theory, and a contrast controller is built with linear quadratic algorithm. Both simulation and real vehicle test results show that the MPC controller can reduce fuel cost by above 5% than LQ controller in the range of safe tracking, and it successfully coordinates fuel economy and tracking safety.

AB - An adaptive cruise control system of electric vehicles is proposed, considering both fuel economy and tracking safety with model predictive control theory. Firstly, the mathematical relationship between fuel cost and longitudinal acceleration is analyzed through a simulation model. Secondly the 2-norm number is adopted to indicate the integrated cost function, which integrates economy performance and tracking performance together. Finally the proposed optimization problem is solved by model predictive control theory, and a contrast controller is built with linear quadratic algorithm. Both simulation and real vehicle test results show that the MPC controller can reduce fuel cost by above 5% than LQ controller in the range of safe tracking, and it successfully coordinates fuel economy and tracking safety.

KW - Adaptive Cruise Control

KW - Electric Vehicles

KW - Energy Saving

KW - Model Predictive Control

UR - https://www.scopus.com/pages/publications/84865035809

U2 - 10.1109/IVS.2012.6232121

DO - 10.1109/IVS.2012.6232121

M3 - Conference contribution

AN - SCOPUS:84865035809

SN - 9781467321198

T3 - IEEE Intelligent Vehicles Symposium, Proceedings

SP - 240

EP - 245

BT - 2012 IEEE Intelligent Vehicles Symposium, IV 2012

T2 - 2012 IEEE Intelligent Vehicles Symposium, IV 2012

Y2 - 3 June 2012 through 7 June 2012

ER -

ACC of electric vehicles with coordination control of fuel economy and tracking safety

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this