DocumentCode
1360751
Title
Battery-Management System (BMS) and SOC Development for Electrical Vehicles
Author
Cheng, K.W.E. ; Divakar, B.P. ; Wu, Hongjie ; Ding, Kai ; Ho, Ho Fai
Author_Institution
Dept. of Electr. Eng., Hong Kong Polytech. Univ., Kowloon, China
Volume
60
Issue
1
fYear
2011
Firstpage
76
Lastpage
88
Abstract
Battery monitoring is vital for most electric vehicles (EVs), because the safety, operation, and even the life of the passenger depends on the battery system. This attribute is exactly the major function of the battery-management system (BMS)-to check and control the status of battery within their specified safe operating conditions. In this paper, a typical BMS block diagram has been proposed using various functional blocks. The state of charge (SOC) estimation has been implemented using Coulomb counting and open-circuit voltage methods, thereby eliminating the limitation of the stand-alone Coulomb counting method. By modeling the battery with SOC as one of the state variables, SOC can be estimated, which is further corrected by the Kalman filtering method. The battery parameters from experimental results are integrated in the model, and simulation results are validated by experiment.
Keywords
Kalman filters; battery management systems; electric vehicles; power filters; Kalman filtering method; battery monitoring; battery-management system; electrical vehicles; open-circuit voltage methods; stand-alone Coulomb counting method; state of charge development; typical BMS block diagram; Batteries; Discharges; Equations; Estimation; Mathematical model; System-on-a-chip; Temperature measurement; Battery-management system (BMS); electric vehicles (EVs); state of charge (SOC);
fLanguage
English
Journal_Title
Vehicular Technology, IEEE Transactions on
Publisher
ieee
ISSN
0018-9545
Type
jour
DOI
10.1109/TVT.2010.2089647
Filename
5609223
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