skip to main content
OSTI.GOV title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: On state-of-charge determination for lithium-ion batteries

Abstract

Accurate estimation of state-of-charge (SOC) of a battery through its life remains challenging in battery research. Although improved precisions continue to be reported at times, almost all are based on regression methods empirically, while accuracy is often not properly addressed. Here, a comprehensive review is set to address such issues, from fundamental principles that are supposed to define SOC to methodologies to estimate SOC for practical use. It covers topics from calibration, regression (including modeling methods) to validation in terms of precision and accuracy. At the end, we intend to answer the following questions: 1) can SOC estimation be self-adaptive without bias? 2) Why Ah-counting is a necessity in almost all battery-model-assisted regression methods? 3) How to establish a consistent framework of coupling in multi-physics battery models? 4) To assess the accuracy in the SOC estimation, statistical methods should be employed to analyze factors that contribute to the uncertainty. Finally, we hope, through this proper discussion of the principles, accurate SOC estimation can be widely achieved.

Authors:
 [1]; ORCiD logo [1]; ORCiD logo [2];  [3]
  1. Tsinghua Univ., Beijing (China). State Key Lab. of Automotive Safety and Energy, Dept. of Automotive Engineering
  2. Idaho National Lab. (INL), Idaho Falls, ID (United States). Energy Storage and Advanced Vehicles
  3. Tsinghua Univ., Beijing (China). State Key Lab. of Automotive Safety and Energy, Dept. of Automotive Engineering; Beijing Inst. of Technology, Beijing (China). Beijing Co-innovation Center for Electric Vehicles
Publication Date:
Research Org.:
Idaho National Lab. (INL), Idaho Falls, ID (United States)
Sponsoring Org.:
USDOE Office of Nuclear Energy (NE)
OSTI Identifier:
1470981
Alternate Identifier(s):
OSTI ID: 1416199
Report Number(s):
INL/JOU-17-40852-Rev001
Journal ID: ISSN 0378-7753
Grant/Contract Number:  
AC07-05ID14517
Resource Type:
Journal Article: Accepted Manuscript
Journal Name:
Journal of Power Sources
Additional Journal Information:
Journal Volume: 348; Journal Issue: C; Journal ID: ISSN 0378-7753
Publisher:
Elsevier
Country of Publication:
United States
Language:
English
Subject:
25 ENERGY STORAGE; State of charge; Lithium ion batteries; Accuracy; determination methodology

Citation Formats

Li, Zhe, Huang, Jun, Liaw, Bor Yann, and Zhang, Jianbo. On state-of-charge determination for lithium-ion batteries. United States: N. p., 2017. Web. doi:10.1016/j.jpowsour.2017.03.001.
Li, Zhe, Huang, Jun, Liaw, Bor Yann, & Zhang, Jianbo. On state-of-charge determination for lithium-ion batteries. United States. doi:10.1016/j.jpowsour.2017.03.001.
Li, Zhe, Huang, Jun, Liaw, Bor Yann, and Zhang, Jianbo. Thu . "On state-of-charge determination for lithium-ion batteries". United States. doi:10.1016/j.jpowsour.2017.03.001. https://www.osti.gov/servlets/purl/1470981.
@article{osti_1470981,
title = {On state-of-charge determination for lithium-ion batteries},
author = {Li, Zhe and Huang, Jun and Liaw, Bor Yann and Zhang, Jianbo},
abstractNote = {Accurate estimation of state-of-charge (SOC) of a battery through its life remains challenging in battery research. Although improved precisions continue to be reported at times, almost all are based on regression methods empirically, while accuracy is often not properly addressed. Here, a comprehensive review is set to address such issues, from fundamental principles that are supposed to define SOC to methodologies to estimate SOC for practical use. It covers topics from calibration, regression (including modeling methods) to validation in terms of precision and accuracy. At the end, we intend to answer the following questions: 1) can SOC estimation be self-adaptive without bias? 2) Why Ah-counting is a necessity in almost all battery-model-assisted regression methods? 3) How to establish a consistent framework of coupling in multi-physics battery models? 4) To assess the accuracy in the SOC estimation, statistical methods should be employed to analyze factors that contribute to the uncertainty. Finally, we hope, through this proper discussion of the principles, accurate SOC estimation can be widely achieved.},
doi = {10.1016/j.jpowsour.2017.03.001},
journal = {Journal of Power Sources},
number = C,
volume = 348,
place = {United States},
year = {Thu Mar 09 00:00:00 EST 2017},
month = {Thu Mar 09 00:00:00 EST 2017}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record

Citation Metrics:
Cited by: 20 works
Citation information provided by
Web of Science

Save / Share: