scispace - formally typeset
J

Jon Andreu

Researcher at University of the Basque Country

Publications -  85
Citations -  2668

Jon Andreu is an academic researcher from University of the Basque Country. The author has contributed to research in topics: Converters & Space vector modulation. The author has an hindex of 18, co-authored 79 publications receiving 2089 citations.

Papers
More filters
Journal ArticleDOI

Modulation Strategy for Multiphase Neutral-Point-Clamped Converters

I. López, +6 more
- 01 Feb 2016 - 
TL;DR: In this paper, a carrier-based modulation strategy for n-phase NPC converters is proposed to control and completely remove the low-frequency neutral point (NP) voltage oscillations for any operation point and load types.
Journal ArticleDOI

Power module electronics in HEV/EV applications: New trends in wide-bandgap semiconductor technologies and design aspects

Asier Matallana, +6 more
- 01 Oct 2019 - 
TL;DR: This work focuses on an in-deep review of the state of the art concerning the power module, identifying the electrical requirements for the modules and the power conversion topologies that will best suit future drives.
Journal ArticleDOI

Next generation electric drives for HEV/EV propulsion systems: Technology, trends and challenges

I. López, +4 more
- 01 Oct 2019 - 
TL;DR: In this paper, a comprehensive review of the current technologies, future trends and enabling technologies that will make possible next generation hybrid and full electric vehicle (HEV/EV) drive systems is presented.
Journal ArticleDOI

(2N+1) Selective Harmonic Elimination-PWM for Modular Multilevel Converters: A Generalized Formulation and A Circulating Current Control Method

Angel Perez-Basante, +5 more
- 01 Jan 2018 - 
TL;DR: In this article, the authors proposed a method based on a novel formulation to solve the (2 N + 1) selective harmonic elimination-pulse width modulation (SHE-PWM) problem.
Journal ArticleDOI

A novel adaptative maximum power point tracking algorithm for small wind turbines

Inigo Kortabarria, +5 more
- 01 Mar 2014 - 
TL;DR: In this paper, an adaptive intelligent algorithm that uses a new advanced perturb and observe method to search for the optimum relationship of the system for tracking the maximum power point even under variable wind conditions is proposed.