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

fYear

2010

fDate

28-31 March 2010

Firstpage

1

Lastpage

5

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/APPEEC.2010.5448715

Filename

5448715