Development of a Foreign Object Detection and Analysis Method for Wireless Power Systems

Neil Kuyvenhoven, C. Dean, J. Melton, J. Schwannecke, A.E. Umenei


In recent years, increased wireless power transfer systems technology research has lead to systems with higher efficiency and more applicability over varying distances. Safety concerns associated with the technology are still challenges of major concern to the technology’s expansion and adoption. Selective and qualitative detection of foreign objects around the system (metallic or magnetic objects) is of key importance due to their ability to absorb energy from the wireless power supply field in the form of heat (parasitic heating) and possibly become a hazard.

This paper presents the development and experimental validation of the Power Loss Detection method (PLD). The algorithm was developed using mathematical regression analyses on experimental data to co-relate parameters obtained from analytic approximations of power in the system. The method developed is demonstrated by test data to be an effective method for analyzing wireless power systems for foreign object differentiation and detection. This method overcomes the disadvantages of cost, thermal regulation, response time, and size that plague other foreign object detection and parasitic heating sensing techniques.

Read more: Download copy of the complete paper

From the Qi Blog

Dell, HP, Disney, Haier, ZPower and more slated to present at the 2016 Wireless Power Summit in November

Join us at the Wireless Power Summit 2016, immediately following the Wireless Power Consortium 1605 members meeting, November 10-11 in Seattle.
Read more

Dreaming of Power through the Air

Will that far-field dream come true? Or is too much of a nightmare?
Read more

Starbucks & FluxPort Brew Up Qi Wireless Charging for Customers in Germany

At the WPC’s wireless power industry trade show this week in Munich, WPC member FluxPort announced that it has become Starbucks Germany’s wireless charging partner.
Read more