Energy Efficient and Adaptive Design for Wireless Power Transfer in Electric Vehicles

Mou, Xiaolin; Groling, Oliver; Gallant, Andrew; Sun, Hongjian

Abstract

Wireless power transfer (WPT) could revolutionize global transportation and accelerate growth in the Electric Vehicle (EV) market, offering an attractive alternative to cabled charging. Coil misalignment is inevitable due to driver parking behaviour and has a detrimental effect on power transfer efficiency (PTE). This paper proposes a novel coil design and adaptive hardware to improve PTE in magnetic resonant coupling WPT and mitigate coil misalignment, a crucial roadblock in its acceptance. The new design was verified using ADS, providing a good match to theoretical analysis. Custom designed receiver and transmitter circuitry was used to simulate vehicle and parking bay conditions and obtain PTE data in a small-scale setup. Experimental results showed that PTE can be improved by 30% at the array's centre, and an impressive 90% when misaligned by 3/4 of the arrays radius. The proposed novel coil array achieves overall higher PTE compared to the benchmark single coil design.

Citation

Mou, X., Groling, O., Gallant, A., & Sun, H. (2016, May). Energy Efficient and Adaptive Design for Wireless Power Transfer in Electric Vehicles. Presented at 2016 IEEE 83rd Vehicular Technology Conference: VTC2016-Spring., Nanjing, China

• Presentation Conference Type: Conference Paper (published)
• Conference Name: 2016 IEEE 83rd Vehicular Technology Conference: VTC2016-Spring.
• Start Date: May 15, 2016
• End Date: May 18, 2016
• Acceptance Date: Feb 10, 2016
• Online Publication Date: Jul 7, 2016
• Publication Date: Jul 7, 2016
• Deposit Date: Mar 16, 2016
• Publicly Available Date: Mar 28, 2016
• Publisher: Institute of Electrical and Electronics Engineers
• Pages: 1-5
• Book Title: 2016 IEEE 83rd Vehicular Technology Conference (VTC Spring), Nanjing, China 15-18 May 2016 ; proceedings.
• ISBN: 9781509016990
• DOI: https://doi.org/10.1109/vtcspring.2016.7504220
• Public URL: https://durham-repository.worktribe.com/output/1151248
• Additional Information: Conference date: 15–18 May 2016