Qiang Wu Source Confirmed
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Researcher
University of Arkansas at Fayetteville
faculty
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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
Collaborators
Researchers in the database who share publications