Next Article in Journal
AtTPR10 Containing Multiple ANK and TPR Domains Exhibits Chaperone Activity and Heat-Shock Dependent Structural Switching
Previous Article in Journal
Nitrogen and Sulfur Co-Doped Porous Carbon Derived from Thiourea and Calcium Citrate for Lithium-Sulfur Batteries
Open AccessArticle

A State of Charge Estimation Method of Lithium-Ion Battery Based on Fused Open Circuit Voltage Curve

College of Automation, Harbin Engineering University, Harbin 150001, China
*
Authors to whom correspondence should be addressed.
Appl. Sci. 2020, 10(4), 1264; https://doi.org/10.3390/app10041264
Received: 28 January 2020 / Revised: 8 February 2020 / Accepted: 10 February 2020 / Published: 13 February 2020
The open circuit voltage (OCV) and model parameters are critical reference variables for a lithium-ion battery management system estimating the state of charge (SOC) accurately. However, the polarization effect reduces the accuracy of the OCV test, and the model parameters coupled to the polarization voltage increase the non-linearity of the cell model, all challenging SOC estimation. This paper presents an OCV curve fusion method based on the incremental and low-current test. Fusing the incremental test results without polarization effect and the low current test results with non-linear characteristics of electrodes, the fusion method improves the OCV curve’s accuracy. In addition, we design a state observer with model parameters and SOC, and the unscented Kalman filter (UKF) method is employed for co-estimation of SOC and model parameters to eliminate the drift noise effects. The SOC estimation root mean square error (RMSE) of the proposed method achieves 0.99% and 1.67% in the pulse constant current test and dynamic discharge test, respectively. Experimental results and comparisons with other methods highlight the SOC estimation accuracy and robustness of the proposed method.
Keywords: lithium-ion battery; state-of-charge; parameters identification; open circuit voltage; data fusion lithium-ion battery; state-of-charge; parameters identification; open circuit voltage; data fusion
MDPI and ACS Style

Wang, Y.; Zhao, L.; Cheng, J.; Zhou, J.; Wang, S. A State of Charge Estimation Method of Lithium-Ion Battery Based on Fused Open Circuit Voltage Curve. Appl. Sci. 2020, 10, 1264.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop