Sensing and Reliability Challenges in Next-Generation Power Electronic Energy Systems and Related Applications
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Electronic Sensors".
Deadline for manuscript submissions: 30 September 2026 | Viewed by 237
Special Issue Editors
Interests: power electronics and converters; motor drives; advanced control; signal processing and filtering; battery management systems with sensing algorithms; solar and wind power systems; AI-based applications
Special Issues, Collections and Topics in MDPI journals
Interests: electrical machines; applied AI for condition-based maintenance; applied power electronics; renewable energy systems; fault diagnosis and prognostics
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Power electronic systems are becoming smaller, faster, and more tightly integrated as they underpin modern energy applications such as renewable energy conversion, electric transportation, railway traction, and medium- to high-voltage power infrastructures. While these advances enable higher efficiency and power density, they also push converters to operate closer to their physical limits, where electromagnetic interference, thermal stress, parasitic effects, and accelerated aging become critical concerns.
At the same time, increasing compactness and integration significantly reduce the space and accessibility available for sensors. Conventional measurement and monitoring approaches often struggle in these environments due to limited bandwidth, harsh electromagnetic conditions, and restricted access to internal states. As a result, many next-generation power electronic systems suffer from reduced observability, making it difficult to assess operating conditions, detect faults, and ensure long-term reliability.
This Special Issue focuses on rethinking sensing, measurement, and modeling for compact, high-frequency, and high-power power electronic systems. We invite contributions that explore wide-bandwidth, embedded, non-intrusive, or indirect sensing techniques, as well as efficient methods that combine sparse measurements with multi-physics models, digital twins, and physics-informed data-driven approaches. The goal is to substantially improve system observability, enable reliable diagnostics and prognostics, and support safe operation under increasingly constrained sensing conditions.
The Special Issue welcomes contributions across a broad range of related applications, including renewable energy interfaces, transportation and traction systems, smart grids, and energy storage systems. Rather than focusing on individual devices or applications, the emphasis is placed on cross-cutting sensing and monitoring strategies that address the fundamental challenges of next-generation power electronics. In detail, one of main areas of interest is advanced battery management systems, where next-generation power electronics with innovative topologies and sensing algorithms enable non-dissipative active cell balancing and precise state estimation.
Topics of interest include, but are not limited to, the following:
- Wide-bandwidth and high-fidelity sensing techniques for high-frequency and high-power-density power electronic converters.
- Sensor integration, signal integrity, and measurement challenges in converter-dominated energy systems.
- Multi-physics modeling and digital twin frameworks driven by measured electrical, thermal, and mechanical data.
- Sensing-enabled condition monitoring, fault diagnosis, and reliability assessment of power electronics systems.
- Physics-informed and data-driven methods combining sensor data with models for diagnostics, prognostics, and lifetime prediction in power electronic systems.
- Sensing and monitoring solutions for power-electronics-enabled energy storage systems, including advanced battery management systems (BMSs), active balancing, and state and health estimation.
Dr. Gia Minh Thao Nguyen
Prof. Dr. van Khang Huynh
Guest Editors
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Keywords
- high-frequency power conversion
- high power-density power electronics
- wide-bandwidth and in situ sensing
- sensor integration and signal integrity
- multi-physics modeling and digital twins
- condition monitoring and reliability assessment
- physics-informed data-driven diagnostics
- fault diagnosis and prognostics
- thermal and electromagnetic measurement
- converter-dominated energy systems
- advanced BMSs with sensing algorithms for non-dissipative active cell balancing
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