Title :
Battery status identification of battery management system with asynchronous sampling
Author :
Gu, Qiang ; Cheng, Xiusheng ; Lu, Zhonghua ; Liu, Xi ; Song, Yongdao
Author_Institution :
Coll. of Automotive Eng., Jilin Univ., Changchun, China
Abstract :
Battery management system (BMS) which measures battery status with high accuracy has a critical effect on the performance of power battery and the entire car. To solve the problem of identification precision decreasing for the reason of BMS asynchronous sampling, the original computing method is improved by using gradient adjustment method and based on order 2 RC battery model. A simulation is performed by using Simulink, the identification results between the original computing method and improved one are compared, the precision of the latter is better than the former under the condition of current sampling time point after voltage sampling.
Keywords :
battery management systems; gradient methods; BMS asynchronous sampling; RC battery model; Simulink; battery management system; battery status identification; gradient adjustment method; Batteries; Battery management systems; Capacitance; Delay; Equations; Mathematical model; Resistance; Asynchronous sampling; Battery management system; Battery status identification;
Conference_Titel :
Transportation, Mechanical, and Electrical Engineering (TMEE), 2011 International Conference on
Conference_Location :
Changchun
Print_ISBN :
978-1-4577-1700-0
DOI :
10.1109/TMEE.2011.6199356