Qiang Wu Source Confirmed

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

Researcher

University of Arkansas at Fayetteville

faculty

9 h-index 23 pubs 284 cited

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Biography and Research Information

OverviewAI-generated summary

Qiang Wu's research focuses on energy storage systems, particularly lithium-ion batteries, and their applications in electric vehicles and power grids. His work investigates methods for accurately estimating battery state of charge (SOC) under high-rate charging conditions and evaluating battery pack capacity consistency using magnetic field scanning imaging. Wu also studies techniques to improve the accuracy of insulation resistance measurements in battery packs for electric ships. His research extends to renewable energy integration, including multi-prediction of electric load and photovoltaic solar power in grid-connected systems. Additionally, Wu has explored optimization strategies for energy management in fuel cell hybrid power systems and assessed tool wear using machine learning approaches with imbalanced data. His scholarship includes 23 publications and has garnered 284 citations, with an h-index of 9. He has collaborated with several researchers at the University of Arkansas at Fayetteville.

Metrics

  • h-index: 9
  • Publications: 23
  • Citations: 284

Selected Publications

  • Heterogeneously Integrated 3.3 kV SiC MOSFET Power Module with Multi-layer Substrate and Built-in Gate Drivers (2025) DOI
  • Multi-tier Cooling Solution for 10 kV SiC MOSFET Power Module Featuring Stacked Substrates (2024) DOI

Collaborators

Researchers in the database who share publications