Title :
Research on Battery Identification of Electric Vehicle Battery Management System
Author :
Qiang, Gu ; Xiusheng, Cheng
Author_Institution :
Coll. of Automotive Eng., Jilin Univ., Changchun, China
Abstract :
The performance of electric vehicle depends on power battery performance to a great extent. Accurate assessment of the power battery status is the premise of power battery playing its best performance under the existing technology conditions. The order 2 RC battery model is verified by comparing simulation result with experiment data. A standard identification form which is suitable for gradient adjustment based on order 2 RC model is deduced and the simulation is also carried out to verify it.
Keywords :
battery management systems; battery powered vehicles; RC battery model; battery identification; battery performance; electric vehicle battery management system; Batteries; Battery management systems; Computational modeling; Discharges; Electric vehicles; Equations; Mathematical model; Battery identification; Battery management system; Electric Vehicle;
Conference_Titel :
Computational and Information Sciences (ICCIS), 2010 International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-8814-8
Electronic_ISBN :
978-0-7695-4270-6
DOI :
10.1109/ICCIS.2010.229
