102 citations · 356 across the 10 of their papers we have counts for
10 papers
Towards Ethical AI in Power Electronics: How Engineering Practice and Roles Must Adapt
Fanfan Lin, Peter Wilson, Xinze Li +1
Artificial intelligence (AI) is rapidly transforming power electronics, with AI-related publications in IEEE Power Electronics Society selected journals increasing more than fourfo…
AI Explainability for Power Electronics: From a Lipschitz Continuity Perspective
Xinze Li, Fanfan Lin, Homer Alan Mantooth +1
Lifecycle management of power converters continues to thrive with emerging artificial intelligence (AI) solutions, yet AI mathematical explainability remains unexplored in power el…
Physics-Informed Autonomous LLM Agents for Explainable Power Electronics Modulation Design
Junhua Liu, Fanfan Lin, Xinze Li +2
LLM-based autonomous agents have recently shown strong capabilities in solving complex industrial design tasks. However, in domains aiming for carbon neutrality and high-performanc…
PE-GPT: A Physics-Informed Interactive Large Language Model for Power Converter Modulation Design
Fanfan Lin, Junhua Liu, Xinze Li +4
This paper proposes PE-GPT, a custom-tailored large language model uniquely adapted for power converter modulation design. By harnessing in-context learning and specialized tiered…
Data-Driven Modeling with Experimental Augmentation for the Modulation Strategy of the Dual-Active-Bridge Converter
Xinze Li, Josep Pou, Jiaxin Dong +4
For the performance modeling of power converters, the mainstream approaches are essentially knowledge-based, suffering from heavy manpower burden and low modeling accuracy. Recent…
Feature-aware conditional GAN for category text generation
Xinze Li, Kezhi Mao, Fanfan Lin +1
Category text generation receives considerable attentions since it is beneficial for various natural language processing tasks. Recently, the generative adversarial network (GAN) h…
Particle swarm optimization with state-based adaptive velocity limit strategy
Xinze Li, Kezhi Mao, Fanfan Lin +1
Velocity limit (VL) has been widely adopted in many variants of particle swarm optimization (PSO) to prevent particles from searching outside the solution space. Several adaptive V…
Artificial-Intelligence-Based Triple Phase Shift Modulation for Dual Active Bridge Converter with Minimized Current Stress
Xinze Li, Xin Zhang, Fanfan Lin +2
The dual active bridge (DAB) converter has been popular in many applications for its outstanding power density and bidirectional power transfer capacity. Up to now, triple phase sh…
Artificial-Intelligence-Based Hybrid Extended Phase Shift Modulation for the Dual Active Bridge Converter with Full ZVS Range and Optimal Efficiency
Xinze Li, Xin Zhang, Fanfan Lin +2
Dual active bridge (DAB) converter is the key enabler in many popular applications such as wireless charging, electric vehicle and renewable energy. ZVS range and efficiency are tw…
Artificial-Intelligence-Based Design for Circuit Parameters of Power Converters
X. Li, X. Zhang, F. Lin +1
Parameter design is significant in ensuring a satisfactory holistic performance of power converters. Generally, circuit parameter design for power converters consists of two proces…