Tehnički vjesnik, Vol. 23 No. 3, 2016.
Izvorni znanstveni članak
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
Sažetak
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.
Ključne riječi
cubature Kalman filter; hysteresis model; Lithium-ion battery; state of charge
Hrčak ID:
160126
URI
Datum izdavanja:
19.6.2016.
Posjeta: 2.329 *