DocumentCode
2849685
Title
Li-ion battery parameter estimation for state of charge
Author
Xidong Tang ; Xiaofeng Mao ; Jian Lin ; Koch, B.
Author_Institution
Global R&D, Gen. Motors, Warren, MI, USA
fYear
2011
fDate
June 29 2011-July 1 2011
Firstpage
941
Lastpage
946
Abstract
Battery state of charge (SOC) is a critical parameter for the control of propulsion systems in plug-in hybrid electric vehicles (PHEV) and electric vehicles (EV). As SOC is not measureable during vehicle operation, an onboard adaptive algorithm is developed in this paper. The algorithm estimates six electrical parameters for Li-ion batteries and provides a reliable SOC based on one of the estimated battery parameters, i.e. open circuit voltage (OCV). Simulation and vehicle validation results show good robustness and adaptation of the algorithm with high computational efficiency and low implementation cost.
Keywords
battery powered vehicles; hybrid electric vehicles; lithium; secondary cells; Li; Li-ion battery parameter estimation; OCV; PHEV; SOC; high computational efficiency; onboard adaptive algorithm; open circuit voltage; plug-in hybrid electric vehicles; propulsion systems control; Batteries; Battery charge measurement; Estimation; Hysteresis; Integrated circuit modeling; Parameter estimation; System-on-a-chip;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference (ACC), 2011
Conference_Location
San Francisco, CA
ISSN
0743-1619
Print_ISBN
978-1-4577-0080-4
Type
conf
DOI
10.1109/ACC.2011.5990963
Filename
5990963
Link To Document