Conference proceeding
Power Loss Investigation of Pavement Materials in Roadway Inductive Charging System
2024 IEEE Applied Power Electronics Conference and Exposition (APEC), pp 1905-1908
25 Feb 2024
Abstract
Inductive power transfer (IPT) technology has emerged as a promising wireless charging solution for electric vehicles. However, the application of IPT often overlooked the interaction between an IPT system and different pavement materials. When the transmitter coil is embedded inside a pavement material, the power loss is different due to the properties of different pavement materials (asphalt or concrete) as the transfer medium. This paper presents an experimental investigation into the power loss of different asphalt and concrete materials under varying magnetic flux intensity B and frequency f. A total of seven categories of pavement materials are tested, including 4 concrete materials and 3 asphalt materials. A solenoid coil is employed to generate a uniformly distributed magnetic field up to 5.36mT, and test frequency f of 80kHz, 85kHz, and 90kHz are chosen following the SAE-2954 standard. Experimental results reveal that at each frequency f, there is an exponential increase in power loss in pavement materials as B increases, with that the concrete materials demonstrating overall higher power loss compared to the asphalt materials. For further analysis, an IPT system is established to compare the impact of different pavement materials.
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3 citations in Scopus
Details
- Title
- Power Loss Investigation of Pavement Materials in Roadway Inductive Charging System
- Creators
- Zilong Zheng - Drexel UniversityYao Wang - Drexel UniversityXiao Chen - Rutgers, The State University of New JerseyShuyan Zhao - Drexel UniversityShervin Salehi Rad - Drexel UniversityHua Zhang - Rowan UniversityHao Wang - Drexel UniversityFei Lu - Drexel University
- Publication Details
- 2024 IEEE Applied Power Electronics Conference and Exposition (APEC), pp 1905-1908
- Publisher
- IEEE
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Electrical and Computer Engineering
- Scopus ID
- 2-s2.0-85192704395
- Other Identifier
- 991021875355404721