Bingquan Tao

Wuhan University of Technology

Papers

1

Total Citations

6

H-Index

1

About

Bingquan Tao is a leading researcher in inductive power transfer (IPT) systems, with a primary focus on enhancing the efficiency and robustness of wireless charging for autonomous logistics robots. His most cited work introduces a misalignment-tolerant integrated IPT system specifically designed for tram logistics robots, addressing a critical challenge in real-world deployment: maintaining stable power delivery despite positional offsets between the charger and receiver. Tao’s key contribution lies in the development of a novel dual-purpose coupler that simultaneously handles power transmission and self-compensation, eliminating the need for separate compensating components. This innovation simplifies system architecture while improving reliability, achieving over 6 citations as a testament to its practical significance. By adapting parameter tuning methods to accommodate dynamic alignment conditions, Tao’s research directly supports the growing demand for efficient, contactless charging in automated industrial environments. His work bridges theoretical advances in IPT with tangible engineering solutions, making him a notable figure in the field of wireless power transfer for robotics and logistics automation.

Research Focus

Key Achievements

1
H-Index
1
Papers
6
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Misalignment‐tolerant integrated IPT systems for tram logistics robots featuring dual‐purpose coupler
6 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Wuhan University of Technology

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago