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Incremental capacity analysis and differential voltage analysis based state of charge and capacity estimation for lithium-ion batteries.

Authors :
Zheng, Linfeng
Zhu, Jianguo
Lu, Dylan Dah-Chuan
Wang, Guoxiu
He, Tingting
Source :
Energy. May2018, Vol. 150, p759-769. 11p.
Publication Year :
2018

Abstract

The reliability and safety of battery operations necessitate an efficient battery management system (BMS) with accurate battery state of charge (SOC) and capacity estimation techniques. This paper investigates the incremental capacity analysis (ICA) and differential voltage analysis (DVA) methods for onboard battery SOC and capacity estimation. Since the conventional cell terminal voltage based ICA/DVA methods are sensitive to the changed battery resistance and polarization during battery aging processes, the SOC based ICA/DVA methods are proposed to address this problem as so to accurately identify features of interest on incremental capacity (IC) and differential voltage (DV) curves for applications. Three feature points (FPs) that are potential to be easily identified by battery management systems are extracted from the SOC based IC/DV curves, and then the relations between FPs and cell SOCs/capacities are quantified and applied for battery SOC and capacity estimation. The robustness of the proposed approach against various aging levels and erroneous cumulative capacities is evaluated. Promising results with the maximum absolute error of 1.0% and the relative error of 2.0% can be achieved for battery SOC and capacity estimation, respectively. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
03605442
Volume :
150
Database :
Academic Search Index
Journal :
Energy
Publication Type :
Academic Journal
Accession number :
129050312
Full Text :
https://doi.org/10.1016/j.energy.2018.03.023