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Sustainability for EV Batteries and Battery Materials: Optimization, Second-use, and Recycling

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Sustainable Materials".

Deadline for manuscript submissions: closed (31 December 2022) | Viewed by 1796

Special Issue Editors


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Guest Editor
School of Automotive Studies, Tongji University, Shanghai 201804, China
Interests: electric vehicles; lithium-ion batteries; battery lifetime and safety management; state estimation and battery modeling; applying ex-situ (post-mortem analysis) and in-situ methods (e.g., impedance, neutron powder diffraction) to investigate battery degradation; inventing new scientific methods (e.g., machine learning and optimization) for battery state of health prognosis and management of battery lifespan
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Guest Editor
School of Chemical Engineering and Technology, Xi'an Jiaotong University, Xi'an 710049, China
Interests: in situ characterization techniques; inorganic synthesis; phase transition; crystal growth; Li/Na/K-ion batteries; solid-state reaction
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
College of Chemical Engineering and Materials Science, Tianjin University of Science and Technology, Tianjin 300457, China
Interests: membrane materials and functional polymers; electrochemical in-situ mechanism analysis of Li/Na-ion batteries; preparation of degradable polymers and the extraction of valuable elements from brine resources

Special Issue Information

Dear Colleagues,

According to market prediction, 60% of the market share of lithium-ion batteries will come from the EV sector in 2025, and reports show that the installed batteries could exceed 8100 gigawatt-hours (GWh) by 2030 due to the rapid rise of EVs in recent years. However, battery degradation during cycling is still a major barrier for vehicular applications. When they eventually become unsuitable for propelling a car, they can continue to be used in other areas such as larger-scale energy storage systems or the cyclic utilization of valuable elements. To ensure the sustainability of batteries and battery materials through the whole lifespan, investigations are already underway to explore different promising pathways: life management, reuse, and recycling. A longer lifespan is of great importance in achieving the sustainable development of lithium-ion batteries; thus, life management including state estimation, state prediction, and optimization attracts wide attention. Retired EV batteries are believed to still have approximately 70% capacity, which could create long-term and stable profits for suitable second-life applications. An accurate and rapid assessment of a battery’s remaining lifetime is necessary for reuse scenarios. Another approach to deal with retired EV batteries is recycling valuable elements after reuse. Pyrometallurgy and hydrometallurgy are the two commonly used methods at present, and elements including cobalt, nickel, aluminum, iron, and lithium can be extracted in these valuable urban mines.

Therefore, we are organizing this Special Issue with the goal of finding sustainable solutions for EV batteries. The Special Issue will publish high-quality full research articles and reviews addressing the above topics.

Potential topics include, but are not limited to, the following research areas:

  • Lithium-ion battery lifespan management.
  • Lithium-ion battery second-use (reuse).
  • Lithium-ion battery recycling.
  • Degradation mechanisms and characterization methods.
  • State of health (SoH) estimation, lifetime diagnosis, and prognosis methods.
  • Experimental techniques for testing and characterization.
  • Controllable synthesis of electrode materials.
  • Structural design and regulation of commercial batteries.
  • Enrichment methods of lithium, cobalt, nickel, etc. from failed batteries.
  • Purification methods of the above valuable elements.

Dr. Jiangong Zhu
Prof. Dr. Weibo Hua
Dr. Guiying Tian
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sustainability is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • lithium-ion batteries
  • lifespan management
  • second-use
  • recycling of valuable elements

Published Papers (1 paper)

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Research

21 pages, 4448 KiB  
Article
Remaining Useful Life Prediction for Lithium-Ion Batteries Based on the Partial Voltage and Temperature
by Yanru Yang, Jie Wen, Jianyu Liang, Yuanhao Shi, Yukai Tian and Jiang Wang
Sustainability 2023, 15(2), 1602; https://doi.org/10.3390/su15021602 - 13 Jan 2023
Cited by 4 | Viewed by 1306
Abstract
Remaining useful life (RUL) prediction is vital to provide accurate decision support for a safe power system. In order to solve capacity measurement difficulties and provide a precise and credible RUL prediction for lithium-ion batteries, two health indicators (HIs), the discharging voltage difference [...] Read more.
Remaining useful life (RUL) prediction is vital to provide accurate decision support for a safe power system. In order to solve capacity measurement difficulties and provide a precise and credible RUL prediction for lithium-ion batteries, two health indicators (HIs), the discharging voltage difference of an equal time interval (DVDETI) and the discharging temperature difference of an equal time interval (DTDETI), are extracted from the partial discharging voltage and temperature. Box-Cox transformation, which is data processing, is used to improve the relation grade of HIs. In addition, the Pearson correlation is employed to evaluate the relationship degree between HIs and capacity. On this basis, a local Gaussian function and a global sigmoid function are utilized to improve the multi-kernel relevance vector machine (MKRVM), whose weights are optimized by applying a whale optimization algorithm (WOA). The availability of the extracted HIs as well as the accuracy of the RUL prediction are verified with the battery data from NASA. Full article
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