A quick on-line state of health estimation method for Li-ion battery with incremental capacity curves processed by Gaussian filter

By Yi Li, M. Abdel-Monem, R. Gopalakrishnan, Maitane Berecibar, Elise Nanini-Maury, Noshin Omar, P. Bossche, J. Van Mierlo. 2018

462 citations recorded by the source corpus.

Subfields: Automotive Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/0b37d75163b0c21955f40cf6d387550a1f887b74

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In Automotive Engineering

In Electrical and Electronic Engineering

Citations in the corpus

Battery digital twins: Perspectives on the fusion of models, data and artificial intelligence for smart battery management systems (2020, background): “Other authors such as Li et al. [55] also showed how there is a linear correlation between speciﬁc peak locations of the ICA spectra and the SOH of a cell.”
Battery Health Prediction Using Fusion-Based Feature Selection and Machine Learning (2020, methodology): “Currently, the most widely used methods are: MAF [37], DF [38], WT [30], and GF [39].”
Data-driven health estimation and lifetime prediction of lithium-ion batteries: A review (2019, methodology): “around 60% [53], making IC more suitable for online SOH estimation than DV.”
State-of-Health Estimation Based on Differential Temperature for Lithium Ion Batteries (2020, methodology): “has been widely used for SOH estimation in different forms [16], [17].”
Online capacity estimation of lithium-ion batteries with deep long short-term memory networks (2021, methodology): “…experimental approach is the first method for SOH estimation, and this can be done using trivial methods such as coulomb counting or more sophisticated approaches such as electrochemical impedance spectroscopy (EIS) [4,5] and incremental capacity and differential voltage (IC/DV) analysis [6 – 9].”
Machine learning pipeline for battery state-of-health estimation (2021, methodology): “Additionally, both curves must cover a sufﬁcient voltage range for the method to work and, for obtaining a high curve ﬁdelity, it is restricted to low charge current rates(1/5 to 1/25 C-rate) [28], [29], [30].”