The SOC estimation method for lithium battery based on the combined application of AH + EKF

Xueqing Yuan; Wei Zheng; Xiao Jun Liang; Tianbao Zhang

doi:10.1117/12.3025097

8 February 2024 The SOC estimation method for lithium battery based on the combined application of AH + EKF

Xueqing Yuan, Wei Zheng, Xiao Jun Liang, Tianbao Zhang

Proceedings Volume 13066, International Conference on Optoelectronic Materials and Devices (ICOMD 2023); 1306619 (2024) https://doi.org/10.1117/12.3025097
Event: 2023 International Conference on Optoelectronic Materials and Devices (COMD 2023), 2023, Chongqing, China

Abstract

It is of great practical significance for the state of charge (State of Charge, SOC). At present, the application of a single SOC estimation method can not get the optimal SOC estimate value well, resulting in a large deviation of the estimation. In view of the above problems, the joint application scheme of AH + EKF is proposed. First, the first-order RC circuit model was selected for parameter identification based on the battery discharge data, and then using the Beijing electric bus measured data (Bulk Battery Data System Test, BBDST) compared several estimation method, when a single AH integral method and EKF algorithm, the maximum error of 17.7% and 20.2%, respectively, using the method of AH and EKF algorithm overall maximum error is not more than 1%, the joint application of the algorithm has a very good estimation effect.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Xueqing Yuan, Wei Zheng, Xiao Jun Liang, and Tianbao Zhang "The SOC estimation method for lithium battery based on the combined application of AH + EKF", Proc. SPIE 13066, International Conference on Optoelectronic Materials and Devices (ICOMD 2023), 1306619 (8 February 2024); https://doi.org/10.1117/12.3025097

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available