Abstract
Vehicle Position Measurement (VPM) and Metal Object Detection (MOD) are indispensable to facilitate the commercialization of wireless charging systems for electric vehicles (EVs). In this paper, these two functions are integrated to the charging systems by simply adding a set of two-layer sensing coils. The proposed MOD method takes the advantage of symmetrical magnetic field produced by coupling coils and the uniform field distribution in the center area. By detecting the induced voltage difference of sensing coils, not only the existence of metal objects is checked, but also their positions could be obtained. Moreover, this method also provides a superior performance in view of easy fabrication, high sensitivity and no-blind-zone characteristic. More importantly, this method takes the effect of misalignment of EVs on the object detection accuracy into account by introducing a self-zero-setting method. The VPM function is realized by calculating the mutual inductance of receiving coils and sensing coils online with the virtue of the inherent resonance nature of charging circuit. The proposed design is verified by finite element simulations. When an iron nail appears in the transmitting coils, the voltage difference of corresponding sensing coil exceeds 0.4 V, which is normally lower than 0.1 V.
| Original language | English |
|---|---|
| Title of host publication | 2020 IEEE 4th Conference on Energy Internet and Energy System Integration |
| Subtitle of host publication | Connecting the Grids Towards a Low-Carbon High-Efficiency Energy System, EI2 2020 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 591-596 |
| Number of pages | 6 |
| ISBN (Electronic) | 9781728196060 |
| DOIs | |
| State | Published - 30 Oct 2020 |
| Externally published | Yes |
| Event | 4th IEEE Conference on Energy Internet and Energy System Integration, EI2 2020 - Wuhan, China Duration: 30 Oct 2020 → 1 Nov 2020 |
Publication series
| Name | 2020 IEEE 4th Conference on Energy Internet and Energy System Integration: Connecting the Grids Towards a Low-Carbon High-Efficiency Energy System, EI2 2020 |
|---|
Conference
| Conference | 4th IEEE Conference on Energy Internet and Energy System Integration, EI2 2020 |
|---|---|
| Country/Territory | China |
| City | Wuhan |
| Period | 30/10/20 → 1/11/20 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- Electric vehicles
- Metal object detection
- Sensing coils
- Vehicle position measurement
- Wireless charging
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