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Guillermo O. Garcia

Researcher at National University of Río Cuarto

Publications -  129
Citations -  3660

Guillermo O. Garcia is an academic researcher from National University of Río Cuarto. The author has contributed to research in topics: Induction motor & Rotor (electric). The author has an hindex of 26, co-authored 123 publications receiving 3272 citations. Previous affiliations of Guillermo O. Garcia include National Scientific and Technical Research Council & Federal University of Rio de Janeiro.

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Switching Control Strategy to Minimize Dual Active Bridge Converter Losses

TL;DR: In this article, a switching control strategy to control the power flow and minimize the total power losses of the dual active bridge converter topology is proposed, which consists of driving the bridge with the largest DC voltage to generate a three-level pulsewidth-modulated (PWM) voltage waveform.
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Modulation strategy to operate the dual active bridge DC-DC converter under soft switching in the whole operating range

TL;DR: In this paper, a new modulation strategy that allows operating the dual active bridge (DAB) dc-dc converter under soft switching in the whole operating range is proposed, which is ruled by imposing a certain modulation index in one of the two bridges and a phase shift between the transformer primary and secondary voltages.
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Optimization of power management in an hybrid electric vehicle using dynamic programming

TL;DR: The power split between the two sources is derived such that fuel consumption is minimized, while the vehicle performs a given velocity cycle and the problem is posed as a finite horizon dynamical optimization problem with constraints and solved by a dynamic programming (DP) approach.
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An efficient controller for an adjustable speed induction motor drive

TL;DR: A new approach is proposed that minimizes the total copper and iron losses in a variable speed and/or torque IM drive, while keeping a good dynamic response.
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Online Model-Based Stator-Fault Detection and Identification in Induction Motors

TL;DR: A model-based strategy for stator-interturn short-circuit detection on induction motors based on the generation of a vector of specific residual using a state observer allows for a fast detection of incipient faults, independently of the phase in which the fault occurs.