Health indicators correlated to battery state of health estimation: a review
Publication Name
2023 Global Reliability and Prognostics and Health Management Conference, PHM-Hangzhou 2023
Abstract
Accurate state of health (SOH) estimation plays a fundamental role in battery reliable operation. Recent research has achieved outstanding results on SOH estimation by extracting various health indicators (HIs) and developing advanced algorithms. Several studies have summarized the SOH estimation methods from the modelling perspective. This paper reviews the recent studies focusing on the utilization of different HIs. Including the commonly used charging/discharging curves, impedance, and advanced sensing technologies. Their advantages and limitations are analyzed from implementation and practical application. We also outlook the future research directions of deep learning applications and the requirement of sensing methods.
Open Access Status
This publication is not available as open access
Funding Number
202207550010
Funding Sponsor
China Scholarship Council