Xiaokang Wu
Papers
1
Total Citations
23
H-Index
1
About
Xiaokang Wu’s research centers on wireless power transfer (WPT) systems, with a particular focus on dynamic charging and efficiency optimization for mobile devices. In his most-cited work, “Maximum Efficiency Tracking for Dynamic WPT System Based on Optimal Input Voltage Matching” (2020, 23 citations), Wu introduced a novel method to maintain constant output voltage while maximizing power transfer efficiency—a critical challenge for applications like intelligent inspection robots. This contribution addresses the practical need for stable, non-contact charging in moving systems, bridging theoretical efficiency tracking with real-world deployment. Wu’s work has been recognized for its impact on improving the reliability of WPT in industrial and robotic contexts, where consistent power delivery is essential. His research not only advances the fundamental understanding of dynamic WPT but also offers actionable solutions for next-generation autonomous systems. With growing citation influence, Wu is establishing himself as a key contributor to the field of wireless energy transfer, particularly in optimizing performance under variable conditions.
Research Focus
Key Achievements
Top Papers
- 1