Revolutionizing Energy Storage: Innovations in AI-Driven Battery Technologies

A special issue of Technologies (ISSN 2227-7080).

Deadline for manuscript submissions: 28 February 2026

Special Issue Editors


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Guest Editor
Department of Electrical and Electronic Engineering, Xi’an Jiaotong-Liverpool University, Suzhou 215123, China
Interests: machine learning; renewable energy; biomedical engineering; signal processing; communication technology

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Guest Editor
Department of Electrical and Computer Engineering, Curtin University Malaysia, Miri Sarawak 98009, Malaysia
Interests: artificial inteligence; stochastic optimisation; sensors

Special Issue Information

Dear Colleagues,

In the past few years, there has been a rapid shift toward renewable energy sources in our daily lives. As a result, the demand for efficient and reliable energy storage systems, particularly batteries, in order to maintain a stable and continuous energy supply has become critical. Current research in batteries technologies includes, but is not limited to, lithium-ion batteries, sodium-ion batteries, and flow batteries, with each offering its own set of advantages and disadvantages. Furthermore, rapid progress in artificial intelligence (AI) has yielded significant contributions in the advancement of battery technologies, including smart monitoring, predictive maintenance, new material discovery and testing, and the optimization of battery performance. This Special Issue aims to collect the most recent advancements in AI in battery technologies which are shaping the future of energy storage.

Papers on the latest results and recent advancements in AI technologies in battery technologies are encouraged. Potential topics may include, but are not limited to, the following:

  1. Battery health monitoring and state estimation;
  2. Predictive maintenance and fault diagnosis;
  3. Battery performance optimization;
  4. Battery material discovery and design;
  5. Smart battery management systems;
  6. Battery recycling and end-of-life management.

Dr. Filbert Juwono
Prof. Dr. Herbert Ho-Ching Iu
Dr. Wei Kitt Wong
Guest Editors

Manuscript Submission Information

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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1600 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

  • energy storage
  • artificial intelligence
  • battery health
  • battery performance optimization
  • smart battery management systems

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Published Papers

This special issue is now open for submission.
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