Advances in Battery Management Systems for Lithium-Ion Batteries
A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "D2: Electrochem: Batteries, Fuel Cells, Capacitors".
Deadline for manuscript submissions: 5 December 2025 | Viewed by 7
Special Issue Editor
Special Issue Information
Dear Colleagues,
We are pleased to invite you to contribute to a Special Issue of Energies entitled Advances in Battery Management Systems for Lithium-Ion Batteries.
Lithium-ion batteries continue to play a pivotal role in enabling clean and efficient energy solutions across a range of applications, from electric vehicles (EVs), hybrid electric vehicles (HEVs), and plug-in hybrid electric vehicles (PHEVs) to stationary energy storage systems and portable electronics. As demand for high-performance, reliable, and long-lasting batteries increases, the role of Battery Management Systems (BMS) becomes ever more critical. The BMS is central to ensuring safe operation, optimizing performance, and extending the lifetime of lithium-ion battery packs.
A modern BMS must address numerous challenges associated with the dynamic and nonlinear nature of lithium-ion cells. These include accurate estimation of internal states such as State-of-Charge (SoC) and State-of-Health (SoH), thermal management, charge balancing, and fault detection. Additionally, as battery packs grow in size and complexity, there is a growing need for scalable architectures and real-time control strategies that can guarantee both safety and efficiency under varying operating conditions.
This Special Issue aims to gather original research and comprehensive review articles on the latest developments in battery management technologies. Contributions focusing on estimation methods, control algorithms, diagnostic and prognostic techniques, as well as hardware implementations, are strongly encouraged. Both model-based and data-driven approaches are of interest, especially those that demonstrate real-time feasibility or are validated through experimental results.
We are particularly interested in studies that advance the integration of artificial intelligence and machine learning into BMS frameworks, as well as those exploring new paradigms such as cloud-connected BMS, digital-twins of battery systems, and BMS design for second-life batteries.
We hope this Special Issue will provide a valuable platform for researchers and practitioners to share insights and foster collaboration in the evolving field of battery management. Your contributions will help shape the future of energy storage technology.
Dr. Paul Henshall
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. Energies 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 2600 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
- li-ion batteries
- battery management system
- thermal management
- state-of-charge estimation
- state-of-health estimation
- state-of-power estimation
- data-driven
- machine learning
- AI
- digital twins
- second-life
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.
Further information on MDPI's Special Issue policies can be found here.
