Fast Clustering of Retired Lithium-Ion Batteries for Secondary Life with a Two-Step Learning Method-Reference-Cited by-同舟云学术

Fast Clustering of Retired Lithium-Ion Batteries for Secondary Life with a Two-Step Learning Method

Published:2022-10-11 Issue:11 Volume:7 Page:3817-3825
ISSN:2380-8195
Container-title:ACS Energy Letters
language:en
Short-container-title:ACS Energy Lett.

Author:

Ran Aihua¹²³,Liang Zheng¹²,Chen Shuxiao¹²,Cheng Ming¹²,Sun Chongbo¹²,Ma Feiyue⁴,Wang Kang¹,Li Baohua²^ORCID,Zhou Guangmin¹²^ORCID,Zhang Xuan¹²,Kang Feiyu¹²,Wei Guodan¹²^ORCID

Affiliation:

1. Tsinghua-Berkeley Shenzhen Institute (TBSI), Tsinghua University, Shenzhen518055, China

2. Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen518055, China

3. Research Institute of Tsinghua University in Shenzhen, Shenzhen518055, China

4. Puri Materials, Inc., Shenzhen518055, China

Funder

Ministry of Science and Technology of the People's Republic of China

Science, Technology and Innovation Commission of Shenzhen Municipality

National Natural Science Foundation of China

Shanghai Shun Feng Machinery Co., Ltd

Publisher

American Chemical Society (ACS)

Subject

Materials Chemistry,Energy Engineering and Power Technology,Fuel Technology,Renewable Energy, Sustainability and the Environment,Chemistry (miscellaneous)

Link

https://pubs.acs.org/doi/pdf/10.1021/acsenergylett.2c01898

Reference47 articles.

1. A review on comprehensive recycling of spent power lithium-ion battery in China

2. Battery pack recycling challenges for the year 2030: Recommended solutions based on intelligent robotics for safe and efficient disassembly, residual energy detection, and secondary utilization

3. Understanding aging mechanisms in lithium-ion battery packs: From cell capacity loss to pack capacity evolution

4. Recycling of spent lithium-ion batteries in view of lithium recovery: A critical review

5. End-of-life or second-life options for retired electric vehicle batteries

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