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Screening of Coatings for an All-Solid-State Battery Using In Situ Transmission Electron Microscopy

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Dynamic Smart Membranes: Real-Time Perception, Self-Response, and AI-Driven Optimization for High-Safety

Botao Yuan¹, Yuhui He¹, Guowei Wang¹

¹National Key Laboratory of Science and Technology on Advanced Composites in Special Environments, Center for Composite Materials and Structures, Harbin Institute of Technology, Harbin, China.

Advanced Materials (Deerfield Beach, Fla.)

|May 20, 2026

Summary

Smart membranes offer proactive safety for lithium batteries by integrating sensors, self-healing, and AI. These advanced materials address thermal runaway and mechanical failures, paving the way for safer energy storage.

Keywords:

dynamic capability lithium‐based batteries safety smart membranes

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Screening of Coatings for an All-Solid-State Battery Using In Situ Transmission Electron Microscopy

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Failure Analysis of Batteries Using Synchrotron-based Hard X-ray Microtomography

Failure Analysis of Batteries Using Synchrotron-based Hard X-ray Microtomography

Published on: August 26, 2015

Area of Science:

Materials Science
Electrochemistry
Artificial Intelligence

Background:

Lithium batteries are crucial for energy storage but face safety challenges like thermal runaway and dendrite formation.
Current composite membranes (separators, solid electrolytes) offer static improvements but lack dynamic response to operational stresses.
This limits their ability to prevent battery failures under real-world conditions.

Purpose of the Study:

To review the limitations of conventional composite membranes in lithium batteries.
To introduce smart membranes as a transformative solution for proactive battery safety.
To discuss the role of sensors, self-responsive mechanisms, and AI in enhancing battery safety.

Main Methods:

Systematic review of safety issues in conventional composite membranes.
Detailed analysis of smart membrane functionalities: perception (sensors), self-protection/healing, and AI-driven optimization/prediction.
Discussion on industrial viability, challenges, and future research directions.

Main Results:

Smart membranes proactively address thermal instability, mechanical failure, and ion transport limitations.
Embedded sensors enable real-time perception of battery conditions.
Self-protection, self-healing, and AI contribute to risk mitigation and failure prediction.

Conclusions:

Smart membranes represent a significant advancement for autonomous, safe, and durable next-generation lithium batteries.
Overcoming challenges in cost, scalability, and integration is key for industrial adoption.
Future directions include multifunctional designs, wireless sensing, and advanced material development.