B
Borong Hu
Researcher at Chongqing University
Publications - 21
Citations - 233
Borong Hu is an academic researcher from Chongqing University. The author has contributed to research in topics: Power module & Power cycling. The author has an hindex of 4, co-authored 11 publications receiving 105 citations. Previous affiliations of Borong Hu include University of Warwick.
Papers
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Journal ArticleDOI
Failure and Reliability Analysis of a SiC Power Module Based on Stress Comparison to a Si Device
Borong Hu,Jose Ortiz Gonzalez,Li Ran,Hai Ren,Zheng Zeng,Wei Lai,Bing Gao,Olayiwola Alatise,Hua Lu,Chris Bailey,Phil Mawby +10 more
TL;DR: In this paper, a 2D finite element model has been developed to evaluate the stress performance and lifetime of the solder layer for Si devices, which has been validated using accelerated power cycling tests on Si IGBTs.
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Changes and challenges of photovoltaic inverter with silicon carbide device
TL;DR: The future requirements of PV inverters on efficiency, power density, reliability, and cost are proposed, and some research trends on SiC-based PV inverter are presented.
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Long-Term Reliability Evaluation of Power Modules With Low Amplitude Thermomechanical Stresses and Initial Defects
TL;DR: In this article, a finite element analysis (FEA) is performed to obtain the thermomechanical stress distribution around the defects, which is combined with the solder material's property to give a lifetime model.
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Distributed Thermal Monitoring of Wind Turbine Power Electronic Modules Using FBG Sensing Technology
TL;DR: It is shown that the proposed FBG monitoring system can offer practical operational improvements in establishment of distributed thermal sensing schemes for wind turbine PEM.
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Heat-Flux-Based Condition Monitoring of Multichip Power Modules Using a Two-Stage Neural Network
Borong Hu,Zedong Hu,Li Ran,Chong Ng,Chunjiang Jia,Paul McKeever,Peter Tavner,Chi Zhang,Huaping Jiang,Philip Mawby +9 more
TL;DR: In this article, an external heat-flux-based condition monitoring method, implemented in a two-stage neural network, is proposed to detect individual solder degradation in multichip power modules.