Battery hysteresis modeling for state of charge estimation based on Extended Kalman Filter

Author

Qiu, Shiqi ; Chen, Zhihang ; Masrur, M. Abul ; Murphey, Yi Lu

Author_Institution

Dept. of Electr. & Comput. Eng., Univ. of Michigan-Dearborn, Dearborn, MI, USA

fYear

2011

fDate

21-23 June 2011

Firstpage

184

Lastpage

189

Abstract

This paper presents our research in battery SOC estimation for intelligent battery management. We developed a SOC estimation algorithm based on Extended Kalman Filter to model battery hysteresis effects. The proposed method has been evaluated using data acquired from two different batteries, a lithium-ion battery U1-12XP and a NiMH battery with 1.2V and 3.4 Ah. Our experiments show that our method, which models battery hysteresis based on separated charge and discharge OCV curves gave the top performances in estimating SOC in both batteries when compared with other advanced methods.

Keywords

Kalman filters; battery management systems; secondary cells; state estimation; U1-12XP; battery SOC estimation; battery hysteresis modeling; extended Kalman filter; intelligent battery management; lithium-ion battery; state of charge estimation; voltage 1.2 V; Batteries; Battery charge measurement; Discharges; Estimation; Hysteresis; System-on-a-chip; Voltage measurement; Kalman filtering; battery SOC; intelligent battery management;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Electronics and Applications (ICIEA), 2011 6th IEEE Conference on

Conference_Location

Beijing

ISSN

pending

Print_ISBN

978-1-4244-8754-7

Electronic_ISBN

pending

Type

conf

DOI

10.1109/ICIEA.2011.5975576

Filename

5975576