Detection and Identification Method for Metallic Foreign Objects in Wireless Power Transmission Systems
摘要
As the global energy structure transforms and carbon neutrality goals advance, electric vehicle (EV) development becomes crucial for emission reduction in transportation. In recent years, wireless power transfer (WPT) technology has gained significant attention, leading to changes in EV charging modes. For the detection of metal foreign objects in the wireless charging system, this paper analyzes the detection and localization effect of single-axis detection coil on metal foreign objects from the principle of metal foreign object detection, and in order to reduce the detection blind area, the structure of dual-axis detection coil is proposed, which can effectively improve the detection effect of metal foreign objects. Furthermore, a BP neural network prediction model is introduced to predict metal foreign objects of various materials and sizes. Finally, experiments demonstrate the dual-axis detection coil group’s effectiveness in detecting and localizing metal foreign objects.