H
Huai Wang
Researcher at Aalborg University
Publications - 376
Citations - 10932
Huai Wang is an academic researcher from Aalborg University. The author has contributed to research in topics: Capacitor & Power electronics. The author has an hindex of 38, co-authored 328 publications receiving 7480 citations. Previous affiliations of Huai Wang include Yangtze University & City University of Hong Kong.
Papers
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Proceedings ArticleDOI
Predictive control of buck converter using nonlinear output capacitor current programming
TL;DR: A predictive control of buck converter to achieve fast transient response is presented and the steady-state and transient response to large-signal disturbances will be discussed.
Journal ArticleDOI
A Voltage-Based Multiple Fault Diagnosis Approach for Cascaded H-Bridge Multilevel Converters
TL;DR: In this paper, the authors proposed a fast and robust open-circuit fault diagnosis method without additional sensors for cascaded H-bridge multilevel converters (CHBMCs).
Journal ArticleDOI
Differential Mode Noise Estimation and Filter Design for Interleaved Boost Power Factor Correction Converters
TL;DR: A novel phase-shift method is developed to get a minimized attenuation required by a filter in Band B, and a volume optimization of the required DM filter was introduced based on the calculated filter attenuation and volumetric component parameters.
Proceedings ArticleDOI
Reliability Analysis of Power Electronic-based Power Systems
TL;DR: The concept considers the individual reliability matrices and more importantly, takes the complicated interactions and cross coupling-effects among multiple converters into account and thereby improve the reliability of next generation power systems.
Proceedings ArticleDOI
Lifetime prediction of LED lighting systems considering thermal coupling between LED sources and drivers
TL;DR: A new thermal model concerning the thermal coupling is proposed with Finite Element Method (FEM) simulation for parameter acquirement and has a better estimation of the thermal stresses of key components in the LED lamps and therefore an improved lifetime prediction of the LED systems.