Title :
Analysis on the Influence of Measurement Precision of the Battery Management System on the State of Charge Estimation
Author :
Dong Tingting ; Li Jun ; Dai Haifeng
Author_Institution :
State Key Lab. of Automobile Dynamic Simulation, Jilin Univ., Changchun, China
Abstract :
The error sources of state of charge (SOC) estimation algorithm on the basis of Kalman filter is analyzed in this paper. Aiming at the influence of the measuring precision of voltage and current in battery management system (BMS) to SOC estimation, a simulation analysis is performed independently in Simulink on the assumption that other factors are under ideal conditions, in which the effects of Gaussian white noise and the offset error of measurement of BMS are discussed respectively to simulate the actual vehicle condition. The principle to the precision index design of BMS is proposed according to the simulation result. At last, a high-precision data acquisition system is developed as a precise calibration benchmark device for BMS.
Keywords :
AWGN; Kalman filters; battery management systems; data acquisition; Gaussian white noise; Kalman filter; battery management system; data acquisition system; error sources; measurement precision; simulation analysis; state of charge estimation algorithm; Algorithm design and analysis; Analytical models; Battery charge measurement; Battery management systems; Charge measurement; Current measurement; Noise measurement; Performance analysis; State estimation; Voltage measurement;
Conference_Titel :
Power and Energy Engineering Conference (APPEEC), 2010 Asia-Pacific
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-4812-8
Electronic_ISBN :
978-1-4244-4813-5
DOI :
10.1109/APPEEC.2010.5448715
