Coil Power Density Optimization and Trade-off Study for a 100kW Electric Vehicle IPT Wireless Charging System

Jason Pries, Veda Prakash Galigekere, Omer C. Onar, Gui Jia Su, Randy Wiles, Larry Seiber, Jonathan Wilkins, Saeed Anwar, Shenli Zou

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

32 Scopus citations

Abstract

This paper presents a trade-off study examining the impacts of modifying resonant frequency and coil current density on coil power density for a 100 kW electric vehicle charging system. We find that power density can be increased significantly by moving to higher operating frequency and current density with marginal impact to overall coil-to-coil transfer efficiency. A detailed prototype model of a 150 kVA rated coil set is presented along with loss estimates from magnetic field simulations and initial test results up to 50 kW.

Original languageEnglish
Title of host publication2018 IEEE Energy Conversion Congress and Exposition, ECCE 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1196-1201
Number of pages6
ISBN (Electronic)9781479973118
DOIs
StatePublished - Dec 3 2018
Event10th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2018 - Portland, United States
Duration: Sep 23 2018Sep 27 2018

Publication series

Name2018 IEEE Energy Conversion Congress and Exposition, ECCE 2018

Conference

Conference10th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2018
Country/TerritoryUnited States
CityPortland
Period09/23/1809/27/18

Funding

This manuscript has been authored by UT-Battelle, LLC under Contract No. DE-AC05-00OR22725 with the U.S. Department of Energy. The United States Government retains and the publisher, by accepting the article for publication, acknowledges that the United States Government retains a non-exclusive, paid-up, irrevocable, world-wide license to publish or reproduce the published form of this manuscript, or allow others to do so, for United States Government purposes. The Department of Energy will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan (http://energy.gov/downloads/doe-public-access-plan). This research used resources at the Power Electronics and Electric Machinery Research Facility, a DOE Office of Science User Facility operated by the Oak Ridge National Laboratory.

FundersFunder number
U.S. Department of Energy
Office of Energy Efficiency and Renewable Energy

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