Advanced Monitoring, Management, and Charging Methods for High-Performance and Safe Lithium-Ion Batteries

Lithium-ion batteries (LIBs) are central to today’s energy storage, powering devices from electronics to electric vehicles (EVs) and grid systems. With rising demands for higher energy density, faster charging, and longer life, advanced Battery Management Systems (BMS) are essential for ensuring safe and reliable performance. However, LIBs face persistent challenges such as thermal runaway, capacity fade, inaccurate state estimation, and instability under varying conditions—especially critical in EVs and renewable energy systems. This concern highlights next-generation BMS technologies that enhance LIB safety and performance. Focus areas include advanced sensing, real-time diagnostics, intelligent algorithms, and data-driven decision-making to extend cycle life and optimize operation.

We seek original research, reviews, and perspectives on topics such as:
• Real-time monitoring and diagnostics
• Innovative BMS hardware/software architectures
• Accurate SoC, SoH, and SoX estimations
• AI-driven prognostics and lifecycle management
• Smart charging strategies
• Thermal management and runaway prediction
• AI/ML applications in monitoring and fault detection

By advancing BMS innovation, this Topic aims to support safe, efficient LIB systems and foster collaboration across research and industry in the evolving energy landscape.

Article types and fees

This Research Topic accepts the following article types, unless otherwise specified in the Research Topic description:

• Brief Research Report
• Data Report
• Editorial
• FAIR² Data
• General Commentary
• Hypothesis and Theory
• Methods
• Mini Review
• Opinion
• ... View all formats

Articles that are accepted for publication by our external editors following rigorous peer review incur a publishing fee charged to Authors, institutions, or funders.

Article types

This Research Topic accepts the following article types, unless otherwise specified in the Research Topic description:

• Brief Research Report
• Data Report
• Editorial
• FAIR² Data
• General Commentary
• Hypothesis and Theory
• Methods
• Mini Review
• Opinion
• Original Research
• Perspective
• Policy and Practice Reviews
• Review
• Technology and Code

Keywords: Battery Management System (BMS), Lithium-Ion Batteries, Real-Time Monitoring, Smart Charging, Thermal Management, Artificial Intelligence, Prognostics and Health Management (PHM), Thermal Runaway Detection

Important note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.