AUTHOR=Ye Min , Wei Meng , Wang Qiao , Lian Gaoqi , Ma Yuchuan 

TITLE=State of health estimation for lithium-ion batteries based on incremental capacity analysis under slight overcharge voltage

JOURNAL=Frontiers in Energy Research

VOLUME=Volume 10 - 2022

YEAR=2022

URL=https://www.frontiersin.org/journals/energy-research/articles/10.3389/fenrg.2022.1001505

DOI=10.3389/fenrg.2022.1001505

ISSN=2296-598X

ABSTRACT=Accurate and reliable estimation of state of health (SOH) for lithium-ion batteries under slight overcharge voltage cycling has great significance for battery management system. In this study, commercial lithium-ion phosphate batteries are investigated under slight overcharge voltage cycling. The aging mechanism is discussed based on incremental capacity analysis and differential voltage analysis. Moreover, the syncretic health indicator is obtained from the incremental capacity curves based on principal component analysis. Specifically, the capacity retention and Coulombic efficiency are analysed under slight overcharge voltage cycling. The incremental capacity peaks (i.e., peak B and peak C) are discussed to extract potential health indicators and syncretic health indicator is adopted based on principal component analysis. Finally, the Gaussian process regression is established for accuracy SOH estimation with 95% confidence interval under small data of slight overcharge cycling. Comparison with the traditional methods, the proposed method exhibits higher accuracy with 95% confidence interval, the error is limited in 3%.