Artificial Intelligence in Power Electronics Converters: Design, Control and Maintenance

Dear Colleagues,

Power electronics converters (PECs) have been widely utilized in various applications, including electric vehicles (EVs), consumer electronics, and microgrids. The past two decades have witnessed the rapid development of artificial intelligence (AI) techniques, and numerous attractive AI models such as convolutional neural networks (CNNs), variational autoencoders (VAEs), and generative adversarial networks (GANs) have been invented. The development of AI provides an excellent opportunity to research PECs more efficiently and intelligently. For example, AI has been utilized to help optimize the parameters, components, and topology of converters based on the desired specifications and constraints. This Special Issue aims to provide an opportunity for academic researchers and industrial engineers to present, discuss, and exchange their latest results in applications of AI in power electronics converters, including design, control, and maintenance.

Topics of interest include, but are not limited to:

• Topology derivation of PECs;
• Parameter optimization of PECs;
• AI-based modeling and control of PECs;
• Condition monitoring of PECs;
• Fault diagnosis and prognosis of PECs;
• Parameter identification of PECs;
• Computer-aided techniques in the design, control, and maintenance of PECs;
• Review papers on AI techniques and development in PECs.

Dr. Chaoqiang Jiang
Dr. Liping Mo
Guest Editors

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• artificial intelligence
• machine learning
• power electronics converters
• topology derivation of converter
• optimal control of converters
• maintenance of converters