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Juan Carlos Balda

Researcher at University of Arkansas

Publications -  194
Citations -  3931

Juan Carlos Balda is an academic researcher from University of Arkansas. The author has contributed to research in topics: Power module & Converters. The author has an hindex of 29, co-authored 180 publications receiving 3468 citations. Previous affiliations of Juan Carlos Balda include Clemson University & University of Arkansas at Little Rock.

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Proceedings ArticleDOI

A versatile laboratory test bench for developing powertrains of electric vehicles

TL;DR: In this article, the authors describe the implementation of a flexible laboratory test bench for developing electric vehicle and hybrid electric vehicle (HEV) powertrains in a university environment and demonstrate the test bench capabilities by simulating the Jeep Commander II, a fuel cell sport utility vehicle (SUV) from Daimler-Chrysler, performing the urban dynamometer driving schedule.
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Cybersecurity and Power Electronics: Addressing the Security Vulnerabilities of the Internet of Things

TL;DR: The Internet of Things (IoT) has led the way to smarter and ultimately more efficient cyberphysical systems (CPSs) formed by integrated smart energy nodes cooperating to accomplish system goals.
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A Semi-Markov Model for Control of Energy Storage in Utility Grids and Microgrids With PV Generation

TL;DR: In this article, a semi-Markov process model is proposed to model PV power, which has a wide range of applicability across both small and large timescales, including simulating PV power and short-term forecasting of PV power.
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Time-domain identification of synchronous machine parameters from simple standstill tests

TL;DR: In this article, a set of standstill measurements that allow time-domain identification of linear model parameters for direct and quadrature axes of a synchronous machine is proposed, where the models are obtained directly in parametric form (in per unit or measured units).
Proceedings ArticleDOI

Sizing a switched reluctance motor for electric vehicles

TL;DR: In this article, a methodology to determine the peak and continuous power ratings of a switched reluctance motor (SRM) used for the electric propulsion of an electric vehicle (EV) is proposed.