Advanced Modeling and Control Strategies for Next-Generation Power Electronics and Energy Storage Systems

Dear Colleagues,

The global transition towards renewable energy and electrification of transportation and industrial systems is placing unprecedented demands on power conversion and energy storage technologies. Next-generation power electronics and energy storage systems (ESS) are critical enablers for this transition, requiring higher efficiency, reliability, power density, and smarter grid integration. Achieving these goals hinges on breakthroughs in two fundamental areas: advanced modeling that accurately captures complex dynamics and aging effects, and intelligent control strategies that ensure optimal, resilient, and autonomous operation under varying conditions.

This Special Issue aims to bring together cutting-edge research and comprehensive reviews on novel modeling, simulation, and control techniques dedicated to advancing the field of power electronics and energy storage. We seek to showcase innovative solutions that address the challenges of modern applications, including grid-forming inverters, ultra-fast chargers, solid-state transformers, and integration of large-scale ESS with renewable generation.

We invite the submission of original research articles and review papers that contribute to the significant advancement of this field.

Topics of Interest:

We welcome contributions on a wide range of topics, including, but not limited to, the following:

1.    Advanced electro-thermal and aging modeling for wide-bandgap power semiconductors (SiC, GaN).
2.    Novel physics-informed and data-driven modeling techniques for battery systems and power converters.
3.    Digital twin technologies for simulation, prognosis, and health management of power electronic systems.
4.    Artificial intelligence and machine learning-based control strategies for power converters.
5.    Advanced predictive, robust, and sliding mode control applications in power electronics.
6.    Next-generation battery management systems for state estimation and lifetime extension.
7.    Grid-forming inverter control for stability in renewable-energy-dominated power systems.
8.    Resilience-oriented and fault-tolerant control design for improved system reliability.
9.    Optimization and control of hybrid energy storage systems.

Dr. Tao Xu
Guest Editor

Manuscript Submission Information

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