Track 7

AI-Empowered Next-Generation Power Electronics: Design, Maintenance, and Emerging Applications

人工智能赋能的新一代电力电子技术：设计、运维与前沿应用

1. Organizers:

Chair: Liping Mo (莫李平), Hefei University of Technology (合肥工业大学)

Co-Chair: Weisheng Guo (郭伟生), Hefei University of Technology (合肥工业大学)

Co-Chair: Ben Zhang (张犇), City University of Hong Kong (香港城市大学)

Co-Chair: Dong Guo (郭栋), Harbin Engineering University (哈尔滨工程大学)

Co-Chair: Xingshuo Li (李星硕), Nanjing Normal University (南京师范大学)

Co-Chair: Guipeng Chen (陈桂鹏), Xiamen University (厦门大学)

Co-Chair: Mi Dong (董密), Central South University (中南大学)

Co-Chair: Mingyao Ma (马铭遥), Hefei University of Technology (合肥工业大学)

2. Abstract:

English: The deep integration of Artificial Intelligence (AI) and power electronics is triggering profound industrial transformations. This forum aims to explore how AI comprehensively empowers the entire lifecycle of power electronic systems: in the design phase, it focuses on AI-driven topology derivation and multi-physics collaborative optimization design of devices; in the operation and maintenance phase, it highlights digital twin and intelligent fault diagnosis technologies to effectively enhance system reliability and safety; additionally, it will explore innovative applications of AI in emerging fields such as control and modeling of power electronics. This forum is dedicated to providing a communication platform for industry, academia, and research sectors to jointly discuss the challenges and future trends of integrating data-driven methods with physical models.

中文: 人工智能（AI）与电力电子的深度融合正引发深刻的行业变革。本论坛旨在探讨AI如何全面赋能电力电子系统的全生命周期：在设计阶段，重点关注基于AI的拓扑推演与设备多物理场协同优化设计；在运维阶段，聚焦数字孪生与智能故障诊断技术，有效提升系统的可靠性与安全性；此外，还将探讨AI在电力电子控制、建模等前沿领域的创新应用。本论坛致力于为产学研界提供交流平台，共同探讨数据驱动与物理模型融合的挑战与未来趋势。

3. Topics:

  • AI-driven topology derivation and automated generation for power electronic converters / 基于AI的电力电子变换器拓扑推演与自动生成
  • Data-driven and multi-physics collaborative design of power electronic devices / 电力电子设备的数据驱动与多物理场协同设计
  • Digital twin modeling and condition assessment technologies in power electronic systems / 电力电子系统的数字孪生建模与状态评估技术
  • Machine learning-based fault diagnosis and predictive maintenance for power electronic devices and systems / 基于机器学习的电力电子器件与系统故障诊断及预测性维护
  • Other emerging applications of AI in the control and modeling of power electronics / AI在电力电子控制、建模中的其他前沿应用

4. Invited Speakers

  • Ben Zhang (张犇), City University of Hong Kong (香港城市大学)
  • Weisheng Guo (郭伟生), Hefei University of Technology (合肥工业大学)