DocumentCode :
2515143
Title :
ACC of electric vehicles with coordination control of fuel economy and tracking safety
Author :
Ruina, Dang ; He Chaozhe ; Qiang, Zhang ; Keqiang, Li ; Yusheng, Li
Author_Institution :
State Key Lab. of Automotive Safety & Energy, Tsinghua Univ., Beijing, China
fYear :
2012
fDate :
3-7 June 2012
Firstpage :
240
Lastpage :
245
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 control; electric vehicles; fuel economy; linear quadratic control; optimisation; predictive control; road safety; tracking; adaptive cruise control system; coordination control; economy performance; electric vehicles; fuel cost; fuel economy; integrated cost function; linear quadratic algorithm; longitudinal acceleration; model predictive control theory; optimization problem; simulation model; tracking performance; tracking safety; Acceleration; Equations; Mathematical model; Performance analysis; Safety; Vehicle dynamics; Vehicles; Adaptive Cruise Control; Electric Vehicles; Energy Saving; Model Predictive Control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Vehicles Symposium (IV), 2012 IEEE
Conference_Location :
Alcala de Henares
ISSN :
1931-0587
Print_ISBN :
978-1-4673-2119-8
Type :
conf
DOI :
10.1109/IVS.2012.6232121
Filename :
6232121
Link To Document :
بازگشت