Advanced Battery Management Strategies
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 28
Special Issue Editors
Interests: power system; energy storage; artificial intelligence; battery aging modeling; energy management system
Interests: novel power signal; lithium-ion batteries; non-contact voltage measurement
Interests: energy storage; superconducting magnetic energy storage; flux pump; artificial intelligence
Special Issue Information
Dear Colleagues,
Advanced battery management strategies are crucial for optimizing the efficiency, safety, reliability, and lifespan of batteries in various applications, including electric vehicles and renewable energy storage systems. With the growing global emphasis on sustainability, developing intelligent and optimized battery management systems (BMS) is crucial for enhancing energy storage performance and integrating with renewable energy sources. Innovations in battery diagnostics, state-of-health estimation, predictive control algorithms, and adaptive management techniques are significantly advancing battery technology, enabling the broader adoption of clean energy solutions.
This Special Issue invites original research and reviews focusing on advanced methods, algorithms, and technologies in battery management. Topics of interest include, but are not limited to:
- Intelligent algorithms for battery state estimation and fault diagnostics;
- Predictive and adaptive battery management systems;
- Machine learning applications in battery health prognosis;
- Optimization of battery management for electric vehicles and stationary storage;
- Thermal management strategies for improved battery safety and performance;
- Integration of advanced battery management with renewable energy systems;
- Novel materials and sensors enhancing battery management accuracy.
Dr. Tianjing Wang
Prof. Dr. Ling Fu
Dr. Lingfeng Zhu
Dr. Xizhen Xue
Guest Editors
Manuscript Submission Information
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Keywords
- battery management systems (BMS)
- state-of-health estimation
- state-of-charge estimation
- predictive control algorithms
- intelligent diagnostics
- adaptive management techniques
- battery prognostics
- electric vehicle batteries
- renewable energy integration
- thermal management
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