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Battery Technology for Electric Vehicles

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Energy Science and Technology".

Deadline for manuscript submissions: closed (20 July 2023) | Viewed by 2505

Special Issue Editor


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Guest Editor
1. Hubei Key Laboratory of Advanced Technology for Automotive Components, Wuhan University of Technology, Wuhan 430070, China
2. Hubei Collaborative Innovation Center for Automotive Components Technology, Wuhan University of Technology, Wuhan 430070, China
Interests: lithium-ion battery; modle; aging mechanisms; temperature; safety

Special Issue Information

Dear Colleagues,

Due to the advantages of a long cycle life, high charge and discharge efficiency, and high energy density, lithium-ion batteries have been widely used as a power source in electrical vehicles. However, the lifetime of lithium-ion batteries struggles to completely cover the lifetime of electrical vehicles, which is attributed to the faster ageing rate of batteries. Therefore, it is crucial to study issues related to the degradation of the batteries to ensure safe and reliable operation.

This SpeciaI lssue encourages and welcomes original research articles on ageing mechanisms, state of health (SOH) estimations, and lifetime prognosis. Potential topics include but are not limited to the following:

  • Ageing mechanism;
  • Kinetic characteristics of the side reactions;
  • The electrochemical model coupled the ageing mechanism;
  • SOH estimations;
  • Prediction of remaining useful life;
  • Ageing fault diagnostics;
  • Accelerated aging methods.

Dr. Jianqiang Kang
Guest Editor

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. Applied Sciences 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.

Published Papers (1 paper)

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Review

18 pages, 1301 KiB  
Review
Recognition of Driving Behavior in Electric Vehicle’s Li-Ion Battery Aging
by Ka Seng Chou, Kei Long Wong, Davide Aguiari, Rita Tse, Su-Kit Tang and Giovanni Pau
Appl. Sci. 2023, 13(9), 5608; https://doi.org/10.3390/app13095608 - 1 May 2023
Cited by 2 | Viewed by 2214
Abstract
In the foreseeable future, electric vehicles (EVs) will play a key role in the decarbonization of transport systems. Replacing vehicles powered by internal combustion engines (ICEs) with electric ones reduces the amount of carbon dioxide (CO2) being released into the atmosphere [...] Read more.
In the foreseeable future, electric vehicles (EVs) will play a key role in the decarbonization of transport systems. Replacing vehicles powered by internal combustion engines (ICEs) with electric ones reduces the amount of carbon dioxide (CO2) being released into the atmosphere on a daily basis. The Achilles heel of electrical transportation lies in the car battery management system (BMS) that brings challenges to lithium-ion (Li-ion) battery optimization in finding the trade-off between driving and battery health in both the long- and short-term use. In order to optimize the state-of-health (SOH) of the EV battery, this study focuses on a review of the common Li-ion battery aging process and behavior detection methods. To implement the driving behavior approaches, a study of the public dataset produced by real-world EVs is also provided. This research clarifies the specific battery aging process and factors brought on by EVs. According to the battery aging factors, the unclear meaning of driving behavior is also clarified in an understandable manner. This work concludes by highlighting some challenges to be researched in the future to encourage the industry in this area. Full article
(This article belongs to the Special Issue Battery Technology for Electric Vehicles)
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