Advanced Multi-Physics Coupling Electrochemical-Thermal Energy Storage Modeling and Active Safety State Estimation

Submission Deadline: 10 July 2026 View: 67 Submit to Special Issue

Guest Editors

Dr.  Longxing Wu

Email: batterywu@163.com

Affiliation: College of Intelligent Manufacturing, Anhui Science and Technology University, Chuzhou, 239001, China

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Research Interests: Lithium-ion batteries; Battery management system; Electrified Vehicles; Physics-informed AI

Dr. Yu Zhou

Email: zhouyu@fzu.edu.cn

Affiliation: College of Electrical Engineering and Automation, Fuzhou University, Fuzhou, 350108, China

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Research Interests: Battery system informatics; Battery thermal problem; Distributed-parameter system

Dr. Zebo Huang

Email: boshhuang@126.com

Affiliation: College of Mechanical and Electrical Engineering, Guilin University of Electronic Technology, Guilin, 541004, China

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Research Interests: Long term energy storage technology; Redox flow battery; Operation optimization

Summary

With the rapid development of renewable energy integration and electric vehicle industrialization, electrochemical energy storage systems (EESSs) have become the core support for energy transformation, but their safety and reliability issues under complex operating conditions remain a critical bottleneck. The intrinsic coupling among electrochemical reactions, heat transfer, mass transport, and mechanical deformation in EESSs (e.g., lithium-ion batteries, flow batteries, solid-state batteries) leads to nonlinear dynamic behaviors such as thermal runaway, capacity decay, and internal short circuits, which severely restrict their large-scale application. This Special Issue focuses on advanced multi-physics coupling electrochemical-thermal modeling and active safety state estimation of energy storage systems, emphasizing the innovation of theoretical models, the development of numerical methods, and the validation of engineering applications. We welcome original research papers, review articles, and technical notes that explore the coupling mechanisms of electrochemical reactions, heat/mass transfer, and mechanical effects, develop high-precision and efficient multi-scale modeling methods, and propose novel active safety state estimation strategies (e.g., state of charge, state of health, state of safety). By integrating interdisciplinary perspectives from heat transfer, electrochemistry, materials science, control engineering, and computer science, this Special Issue aims to provide a platform for academic researchers and industrial engineers to exchange cutting-edge achievements, promote the optimization of energy storage system design, and accelerate the technological breakthrough of active safety protection, ultimately advancing the sustainable development of the global electrochemical energy storage industry.

Contributions are invited on, but not limited to, the following topics:
(1) Multi-physics coupling mechanisms in electrochemical energy storage: Electrochemical-thermal, electrochemical-thermal-mass transport, electrochemical-thermal-mechanical coupling behaviors;
(2) Advanced modeling methods for energy storage systems: Macroscopic/mesoscopic/microscopic multi-scale modeling, phase-field simulation, machine learning-aided multi-physics modeling, reduced-order modeling for real-time application;
(3) Heat and mass transfer optimization in energy storage devices: Thermal management system design, electrode structure optimization, electrolyte transport enhancement;
(4) Active safety state estimation and prediction: State of charge (SOC), state of health (SOH), state of safety (SOS) estimation based on multi-physics signals, early warning of thermal runaway and internal short circuits;
(5) Experimental validation and characterization techniques: In-situ/operando measurement of electrochemical-thermal coupling parameters, thermal runaway detection experiments, multi-physics coupling simulation validation methods.

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