Battery Management Systems Based on Electrochemical Impedance Spectroscopy
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: 15 April 2025 | Viewed by 743
Special Issue Editors
Interests: power electronics; energy conversion; renewable energy; smart-grid applications
Interests: battery management systems; human–machine systems; signal processing; machine learning; information fusion
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Electrochemical Impedance Spectroscopy (EIS) is emerging as a vital tool for enhancing battery management systems (BMSs), offering precise insights into a battery’s state of health, charge, and overall performance. This Special Issue aims to explore the integration of EIS within BMS, focusing on cutting-edge research which leverages impedance data for the real-time monitoring, predictive maintenance, and optimization of battery systems. We invite contributions addressing both theoretical and practical aspects, including novel EIS techniques, data interpretation methods, and their application to various battery chemistries, alongside studies that bridge the gap between laboratory-scale experiments and real-world applications, as well as those exploring the challenges of implementing EIS in commercial BMSs. As this Special Issue seeks to advance the understanding and application of EIS in BMSs, providing a platform for researchers to present innovative solutions which enhance battery longevity, safety, and efficiency, authors are encouraged to submit original research, review articles, and case studies that contribute to this rapidly evolving field.
Dr. Sung Yeul Park
Dr. Balakumar Balasingam
Guest Editors
Manuscript Submission Information
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Keywords
- electrochemical impedance spectroscopy (EIS)
- battery management systems (BMS)
- battery performance
- real-time monitoring
- predictive maintenance
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