Practical state of health estimation of lithium-ion battery with high robustness to charging partialness

Haokai Ruan, Hongwen He, Zhongbao Wei*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

State of health (SOH) estimation is critical for the lithium-ion battery health management. In this paper, a new set of health indicators (HIs) based on partial constant-current charging are extracted by scrutinizing the correlation against the SOH and the robustness to uncertainty of practical disturbance. A multiple linear regression model with an activation function is further established to construct the relationship between the extracted HIs and the battery capacity. Results give sufficient evidence for the low requirement on the charging integrity, the sufficient adaptability to the practical disturbances and the high robustness to cell inconsistency of the proposed method.

Original languageEnglish
Title of host publication2021 IEEE Transportation Electrification Conference and Expo, ITEC 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages401-406
Number of pages6
ISBN (Electronic)9781728175836
DOIs
Publication statusPublished - 21 Jun 2021
Event2021 IEEE Transportation Electrification Conference and Expo, ITEC 2021 - Chicago, United States
Duration: 21 Jun 202125 Jun 2021

Publication series

Name2021 IEEE Transportation Electrification Conference and Expo, ITEC 2021

Conference

Conference2021 IEEE Transportation Electrification Conference and Expo, ITEC 2021
Country/TerritoryUnited States
CityChicago
Period21/06/2125/06/21

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