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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 3120

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

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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 2803
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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