Cited by 72Extraction and Separation ProcessesAdvanced Battery Technologies ResearchElectric Vehicles and Infrastructure

Echelon Utilization of Retired Power Lithium-Ion Batteries: Challenges and Prospects

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Wang, Ningbo, Garg, Akhil, Su, Shaosen, Mou, Jianhui, Gao, Liang, Li, Wei·2022·Batteries

Abstract

The explosion of electric vehicles (EVs) has triggered massive growth in power lithium-ion batteries (LIBs). The primary issue that follows is how to dispose of such large-scale retired LIBs. The echelon utilization of retired LIBs is gradually occupying a research hotspot. Solving the issue of echelon utilization of large-scale retired power LIBs brings not only huge economic but also produces rich environmental benefits. This study systematically examines the current challenges of the cascade utilization of retired power LIBs and prospectively points out broad prospects. Firstly, the treatments of retired power LIBs are introduced, and the performance evaluation methods and sorting and regrouping methods of retired power LIBs are comprehensively reviewed for echelon utilization. Then, the problems faced by the scenario planning and economic research of the echelon utilization of retired power LIBs are analyzed, and value propositions are put forward. Secondly, this study summarizes the technical challenges faced by echelon utilization in terms of security, performance evaluation methods, supply and demand chain construction, regulations, and certifications. Finally, the future research prospects of echelon utilization are discussed. In the foreseeable future, technologies such as standardization, cloud technology, and blockchain are urgently needed to maximize the industrialization of the echelon utilization of retired power LIBs.

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  1. Guo, D.; Yang, G.; Zhao, G.; Yi, M.; Feng, X.; Han, X.; Lu, L.; Ouyang, M. Determination of the Differential Capacity of Lithium-Ion Batteries by the Deconvolution of Electrochemical Impedance Spectra. Energies 2020, 13, 915. [CrossRef] · DOI
  2. Yang, H.; Chen, J.; Tang, Z. Screening decommissioned power batteries based on K-means algorithm and genetic algorithm. Chin. J. Power Sources 2019, 43, 2001-2004. [CrossRef] · DOI

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Authors
Wang, N., Garg, A., Su, S., Mou, J., Gao, L., & Li, W.
Affiliations
  • Chongqing University (CN)
  • State Key Laboratory of Digital Manufacturing Equipment and Technology (CN)
  • State Key Lab of Digital Manufacturing Equipment & Technology, School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
  • Yantai University (CN)
Corresponding author
Li, Wei
Venue
Batteries
Publisher
MDPI AG
Published
2022-08-18
Volume
8
Issue
8
Pages
96
ISSN
2313-0105 (ISSN-L)
OpenAlex
W4293791130
Cited by
72
References
118
Citations by year
2026: 18 · 2025: 18 · 2024: 15 · 2023: 18 · 2022: 3
FWCI
5.09
Type
journal article
Language
en
Open access
Locations
  • Batteries (publishedVersion, cc-by)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
  • Science and Technology Innovation Program of “Chengdu-Chongqing Double City Economic Circle Construction” (KJCXZD2020013, XmT2020115, 2020M683237)
  • Special Funding for Postdoctoral Research Program in Chongqing (KJCXZD2020013, XmT2020115, 2020M683237)
  • China Postdoctoral Science Foundation (KJCXZD2020013, XmT2020115, 2020M683237)
Topics
  • Physical Sciences › Engineering › Mechanical Engineering › Extraction and Separation Processes
  • Physical Sciences › Engineering › Automotive Engineering › Advanced Battery Technologies Research
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Electric Vehicles and Infrastructure
Keywords
cascade utilization, battery recycling, electric vehicle batteries, supply chain construction, battery safety, blockchain, standardization, cloud technologies

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