DocumentCode :
581353
Title :
Adaptive parameter identification and State-of-Charge estimation of lithium-ion batteries
Author :
Rahimi-Eichi, Habiballah ; Chow, Mo-Yuen
Author_Institution :
Dept. of Electr. & Comput. Eng., North Carolina State Univ., Raleigh, NC, USA
fYear :
2012
fDate :
25-28 Oct. 2012
Firstpage :
4012
Lastpage :
4017
Abstract :
Estimation of the State of Charge (SOC) is a fundamental need for the battery, which is the most important energy storage in Electric Vehicles (EVs) and the Smart Grid. Regarding those applications, the SOC estimation algorithm is expected to be accurate and easy to implement. In this paper, after considering a resistor-capacitor (RC) circuit-equivalent model for the battery, the nonlinear relationship between the Open Circuit Voltage (VOC) and the SOC is described in a lookup table obtained from experimental tests. Assuming piecewise linearity for the VOC-SOC curve in small time steps, a parameter identification technique is applied to the real current and voltage data to estimate and update the parameters of the battery at each step. Subsequently, a reduced-order linear observer is designed for this continuously updating model to estimate the SOC as one of the states of the battery system. In designing the observer, a mixture of Coulomb counting and VOC algorithm is combined with the adaptive parameter-updating approach and increases the accuracy to less than 5% error. This paper also investigates the correlation between the SOC estimation error and the observability criterion for the battery model, which is directly related to the slope of the VOC- SOC curve.
Keywords :
battery powered vehicles; lithium; secondary cells; Coulomb counting mixture; Li; RC circuit-equivalent model; SOC estimation error; adaptive parameter identification; battery model observability criterion; current data; electric vehicles; lithium-ion batteries; resistor-capacitor circuit-equivalent model; state-of-charge estimation error; voltage data; Adaptation models; Batteries; Chemicals; Data models; Impedance; Indexes; System-on-a-chip; Battery Parameter Estimation; Parameter Identification; State Observer Design; State-of-Charge; VOC-Based SOC Estimation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
IECON 2012 - 38th Annual Conference on IEEE Industrial Electronics Society
Conference_Location :
Montreal, QC
ISSN :
1553-572X
Print_ISBN :
978-1-4673-2419-9
Electronic_ISBN :
1553-572X
Type :
conf
DOI :
10.1109/IECON.2012.6389248
Filename :
6389248
Link To Document :
بازگشت