Real-time SOH Estimation Algorithm Based on Coulomb Counting and Constant Voltage Charging Time Reset

This paper proposes an algorithm that estimates the state-of-health (SOH) of lithium-ion batteries in realtime on the basis of current integration and constant voltage charging time. The proposed algorithm estimates the SOH on the basis of the total cycle and current capacity according to battery manufacturing and the current capacity accumulated in real time. The SOH estimation accuracy was improved by re-estimating the estimated SOH on the basis of the SOH value compared with the constant voltage charging time when constant voltage charging occurs. The algorithm is verified through an aging experiment using LiFePO4 batteries.

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Publication Details

Journal
The Transactions of the Korean Institute of Power Electronics
Published
2024-10-18
DOI
https://doi.org/10.6113/tkpe.2024.29.5.353
Primary Topic
Fault Detection and Control Systems
Type
article
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Real-time SOH Estimation Algorithm Based on Coulomb Counting and Constant Voltage Charging Time Reset

Gwanghee Heo, Byoung‐Kuk Lee, Donghwan Kim, Jonghun Lim et al.
4 links
The Transactions of the Korean Institute of Power Electronics
Fault Detection and Control Systems
article

Real-time SOH Estimation Algorithm Based on Coulomb Counting and Constant Voltage Charging Time Reset

Gwanghee Heo, Byoung‐Kuk Lee, Donghwan Kim, Jonghun Lim, Je-Yeong Lim
article en

Abstract

This paper proposes an algorithm that estimates the state-of-health (SOH) of lithium-ion batteries in realtime on the basis of current integration and constant voltage charging time. The proposed algorithm estimates the SOH on the basis of the total cycle and current capacity according to battery manufacturing and the current capacity accumulated in real time. The SOH estimation accuracy was improved by re-estimating the estimated SOH on the basis of the SOH value compared with the constant voltage charging time when constant voltage charging occurs. The algorithm is verified through an aging experiment using LiFePO4 batteries.

The Transactions of the Korean Institute of Power ElectronicsVol. 29(5)
Affordable and clean energy
Openalex Percentile: Top 79%
Fault Detection and Control Systems
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