Intelligent Management and Sustainable Development of Lithium-Ion Batteries in Automotive Applications
A special issue of Batteries (ISSN 2313-0105). This special issue belongs to the section "Battery Modelling, Simulation, Management and Application".
Deadline for manuscript submissions: 25 November 2025 | Viewed by 2
Special Issue Editor
Special Issue Information
Dear Colleagues,
As electric vehicles continue their rapid global adoption, lithium-ion batteries—the cornerstone energy storage technology—face critical challenges in operational efficiency optimization, lifespan extension, and sustainable lifecycle management. This Special Issue seeks to advance the frontiers of intelligent battery management through innovative integration of computational intelligence, distributed computing architectures, and data-driven analytics. We particularly welcome interdisciplinary studies that synergize artificial intelligence, physics-informed modeling, and advanced data science to achieve transformative breakthroughs in battery reliability, safety, and circular economy implementation.
In this context, we invite researchers from academia and industry to contribute original research articles, reviews, and case studies addressing, but not limited to, the following topics:
- Cloud-edge collaborative architectures for battery state estimation and parameter optimization;
- Physics-informed neural networks for cross-scale battery modeling;
- Transfer learning approaches for cross-chemistry state estimation generalization;
- Early fault warning systems based on multi-source data fusion;
- LLM-enhanced battery health monitoring and management systems;
- Vehicle energy management strategies considering battery aging suppression;
- Intelligent sorting and second-life applications of retired batteries.
We welcome contributions from experts in academia, industry, and policymaking to discuss cutting-edge technologies, standardization challenges, and policy implications for lithium-ion battery applications in vehicles.
Dr. Bin Ma
Guest Editor
Manuscript Submission Information
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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. Batteries 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 2700 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
- cloud-edge collaboration
- data-driven modeling
- transfer learning
- large language models
- second-life applications
- fault diagnosis
- aging suppression
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