Smart Battery Systems: Advanced Modeling, State Estimation, Prognostics and Control

A special issue of World Electric Vehicle Journal (ISSN 2032-6653).

Deadline for manuscript submissions: 31 May 2025 | Viewed by 73

Special Issue Editor


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Guest Editor
Centre for E-Mobility and Clean Growth Research, Coventry University, Coventry CV1 5FB, UK
Interests: batteries; battery management systems; machine learning; optimization and control; energy storage systems
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Batteries are deployed across a wide range of applications, such as portable electronics, electric vehicles, and stationary power storage systems, due to their high energy and power densities and long lifetime. With emerging technology such as artificial intelligence and blockchain technology, smart battery systems that integrate state-of-the-art battery hardware with advanced battery management processes are moving rapidly from a research field to a requirement for technology’s functionality. Advanced modeling, state estimation, prognostics, and control are the key parts of smart battery systems and contribute to extending battery lifetime and enhancing battery safety. This Special Issue is a dedicated outlet for up-to-date research on all aspects of advanced modeling, state estimation, prognostics, and control of smart battery systems. Manuscripts from cross-disciplinary fields, such as artificial intelligence, blockchain, electrochemistry, power electronics, and thermal and mechanical technologies are warmly welcome. We would particularly like to encourage the submission of papers that bridge the gap between theoretical research and the practical deployment of batteries.

We invite the submission of original research, reviews, and perspective articles, and the topics of particular interest to us include (but are not limited to) the following:

  • The smart management of different batteries, including lithium-ion batteries, sodium-ion batteries, solid-state batteries, etc.
  • Advanced battery modeling.
  • Next-generation battery model parameterization techniques.
  • Battery state estimation: state of charge, state of power, temperature, and state of health.
  • Advanced thermal management: the cooling and heating of lithium-ion batteries.
  • Battery charging methods.
  • Battery degradation, faults, and safety management.
  • Battery diagnostics and prognostics.
  • Machine learning, big data, and battery fusion methods.

Dr. Haijun Ruan
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. World Electric Vehicle Journal is an international peer-reviewed open access monthly 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 1400 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

  • battery
  • modeling
  • state estimation
  • control
  • machine learning
  • big data
  • diagnostics
  • prognostics
  • charging
  • thermal management
  • heating
  • cooling
  • safety management
  • health management

Published Papers

This special issue is now open for submission.
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