Original scientific paper

https://doi.org/10.17559/TV-20150314130830

Estimation of state of charge of lithium-ion battery based on photovoltaic generation energy storage system

Ze Cheng ; School of Electrical Engineering & Automation of Tianjin University, 300072 Tianjin, China
Li Wang ; School of Electrical Engineering & Automation of Tianjin University, 300072 Tianjin, China
Jiguang Liu ; School of Electrical Engineering & Automation of Tianjin University, 300072 Tianjin, China
Jikao Lv ; School of Electrical Engineering & Automation of Tianjin University, 300072 Tianjin, China

Abstract

The fast and accurate estimation of state of charge (SOC) of lithium-ion battery is one of the key technologies of battery management system. In view of this nonlinear dynamic system of lithium battery, through the test and analysis of lithium-ion battery hysteresis characteristics, the second-order RC hysteresis model is established, and the cubature Kalman filter algorithm is used to estimate the battery state of charge in this report. The experiment results show that the battery model can essentially predict the dynamic hysteresis voltage behavior of the lithium-ion battery and cubature Kalman Filtering algorithm can maintain high accuracy in the estimation process.

Keywords

cubature Kalman filter; hysteresis model; Lithium-ion battery; state of charge

Hrčak ID:

160126

URI

https://hrcak.srce.hr/160126

Publication date:

19.6.2016.

Article data in other languages: croatian

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