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Burak Ozpineci
Researcher at Oak Ridge National Laboratory
Publications - 174
Citations - 8029
Burak Ozpineci is an academic researcher from Oak Ridge National Laboratory. The author has contributed to research in topics: Inverter & Power electronics. The author has an hindex of 38, co-authored 165 publications receiving 6572 citations. Previous affiliations of Burak Ozpineci include National Transportation Research Center & Federal University of Mato Grosso do Sul.
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Proceedings ArticleDOI
Optimized Renewable Energy Integration for EV High-Power Dynamic Wireless Charging Systems
TL;DR: In this article, an optimization model for renewable energy integration in the DWCS is proposed to mitigate the grid impact and minimize the operation costs of the whole system, and the tradeoff between grid impact mitigation and operation costs minimization, relationships among power demand from power grid, photovoltaic (PV) capacity, wind energy (WE) capacity and energy storage (ES) capacity are analyzed.
Proceedings ArticleDOI
Inductive power harvesting for a touchless transmission line inspection system
Jessica D. Boles,Burak Ozpineci,Leon M. Tolbert,Timothy A. Burress,Curt W. Ayers,Jared A. Baxter +5 more
TL;DR: A touch-free transmission line inspection system in which an unmanned aerial vehicle (UAV) conducts all inspection activities and, while doing so, charges from the line via inductive power transmission.
Proceedings ArticleDOI
A Novel Three-Phase Oak Ridge AC / DC Converter for Wireless EV Charger Applications
TL;DR: In this paper, a novel three-phase converter is proposed for ac to dc wireless power transfer (WPT) systems for electric vehicle (EV) charging applications, which reduces the design complexity and cost by eliminating the front-end converter stage compared to the conventional systems.
Proceedings ArticleDOI
Anti-series normally-On SiC JFETs operating as bidirectional switches
TL;DR: In this paper, the authors investigate a bidirectional switch formation that is formed by using two normally-on SiC JFETs in anti-series with no anti-parallel diodes.
Proceedings ArticleDOI
Sensor Compensation in Motor Drives using Kernel Regression
TL;DR: In this article, a mathematical solution based on kernel regression is proposed to compensate the measurement error of a faulty sensor, which can generate more accurate and reliable estimates in motor control systems.