AUTHOR=Yao Haiyan , Xu Yuefei , Guo Qiang , Miu Yufeng , Zhang Xufeng , Wei Jiadong , Zhang Yunning , Wang Chunshi 

TITLE=State of charge estimation method for lithium-ion battery pack using BP-MDM-TEM

JOURNAL=Frontiers in Energy Research

VOLUME=Volume 12 - 2024

YEAR=2024

URL=https://www.frontiersin.org/journals/energy-research/articles/10.3389/fenrg.2024.1494541

DOI=10.3389/fenrg.2024.1494541

ISSN=2296-598X

ABSTRACT=Addressing the fluctuating core temperatures during series battery pack operation that cause inconsistency in pack battery characteristics, the paper introduces a Battery-Pack Mean Difference-Method With Thermal-Electrical Coupled Model (BP-MDM-TEM). Thermal-electric coupling model describes the mean characteristics of battery pack, while the difference model quantifies variations among individual cells. A dual-time-scale method is employed to estimate State of Charge (SoC) of battery pack, reducing the computational load of the difference model.If the unique battery characteristics exceed system limits, a significant battery method is used to estimate SoC of pack battery. Building upon the BP-MDM-TEM framework,the paper employs the Improved Sage-Husa Adaptive Extended Kalman Filter (ISH-AEKF) to estimate SoC, mitigating the impact of process and measurement noise on system estimation. A hardware test platform is established in this paper, with a lithium-ion battery pack as the research subject, where charging and discharging experiments are conducted to validate the accuracy of the SoC estimation method.