Technology of Lithium-Ion Battery State-of-Health Assessment Based on Data-Driven

doi:10.11930/j.issn.1004-9649.202202012

Abstract

Abstract: The battery state of health (SOH) is a key factor affecting the large-scale application of lithium-ion batteries, and the data-driven lithium-ion SOH assessment method has become a hot topic in current related research. In order to systematically dissect the key technologies and difficulties of the data-driven battery SOH assessment method, this paper reviews the current research progress from four core links, namely, battery data sources, feature engineering, assessment models, and validation approaches. By analyzing the basic mechanism and comparing the advantages and disadvantages of various methods, this paper pinpoints the bottlenecks that restrict the development of technology and puts forward key directions for future research to promote the development and application of lithium-ion battery SOH assessment based on data-driven technology.

Key words: lithium-ion battery, state of health assessment, data-driven technology, feature engineering, regression model

LI Chong, WANG Chenghui, WANG Gao, LU Zonghu, MA Chengzhi. Technology of Lithium-Ion Battery State-of-Health Assessment Based on Data-Driven[J]. Electric Power, 2022, 55(8): 73-86,95.

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URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.202202012

https://www.electricpower.com.cn/EN/Y2022/V55/I8/73

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