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Xiaofan Cui

Xiaofan Cui

· Professor

University of California, Los Angeles · Electrical and Computer Engineering

Active 2012–2024

h-index8
Citations253
Papers4129 last 5y
Funding
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About

Dr. Xiaofan Cui leads the Power Electronics and Energy Control (PEEC) Laboratory at the University of California, Los Angeles. His research focuses on power electronics, energy systems, and control, with a particular interest in renewable energy integration, energy storage, and smart grid technologies.

Research topics

  • Computer Science
  • Electrical engineering
  • Engineering
  • Artificial Intelligence
  • Physics
  • Computer Security
  • Reliability engineering
  • Telecommunications
  • Materials science
  • Business
  • Electronic engineering
  • Risk analysis (engineering)
  • Mechanical engineering
  • Control engineering

Selected publications

  • Challenges and opportunities for second-life batteries: Key technologies and economy

    Renewable and Sustainable Energy Reviews · 2023 · 135 citations

    • Computer Science
    • Risk analysis (engineering)
    • Computer Security
  • Transfer-Power Measurement Using a Non-Contact Method for Fair and Accurate Metering of Wireless Power Transfer in Electric Vehicles

    IEEE Transactions on Power Electronics · 2021 · 59 citations

    • Computer Science
    • Electrical engineering
    • Computer Science

    Wireless power transfer (WPT) is emerging as the preeminent way to charge electric vehicles, but there appears to be no fair way to measure the power transfer. In this article, <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Faraday coil transfer-power measurement</i> (FC-TPM) is presented. FC-TPM employs non-contact, open-circuited sense coils to measure the electromagnetic field from WPT and calculates the real power propagating through the air gap between the transmitter and receiver coils. What is measured is the real electromagnetic power, representing the pure dispensation of energy that unambiguously demarcates the losses on either side. FC-TPM was demonstrated to be 0.1% accurate in hardware over an Rx coil misalignment of up to 10 cm using a 1-kW WPT system. Fair metering incentivizes businesses and individuals to make choices that conserve energy and advance technology by providing more information and by properly assigning the financial loss. This article is accompanied by a video highlighting the essential contributions of this article.

  • Large-Signal Stability Criteria in DC Power Grids With Distributed-Controlled Converters and Constant Power Loads

    IEEE Transactions on Smart Grid · 2020 · 52 citations

    • Computer Science
    • Computer Science
    • Engineering

    The increasing adoption of power electronic devices may lead to large disturbance and destabilization of future power systems. However, stability criteria are still an unsolved puzzle, since traditional small-signal stability analysis is not applicable to power electronics-enabled power systems when a large disturbance occurs, such as a fault, a pulse power load, or load switching. To address this issue, this paper presents for the first time the rigorous derivation of the sufficient criteria for large-signal stability in DC microgrids with distributed-controlled DC-DC power converters. A novel type of closed-loop converter controllers is designed and considered. Moreover, this paper is the first to prove that the well-known and frequently cited Brayton-Moser's mixed potential theory (published in 1964) is incomplete. Case studies are carried out to illustrate the defects of Brayton-Moser's mixed potential theory and verify the effectiveness of the proposed novel stability criteria.

Frequent coauthors

  • Al-Thaddeus Avestruz

    University of Michigan–Ann Arbor

    26 shared
  • Alireza Ramyar

    9 shared
  • Anna G. Stefanopoulou

    8 shared
  • Jason B. Siegel

    8 shared
  • Ziyou Song

    6 shared
  • Simona Onori

    Stanford University

    6 shared
  • Chenmin Deng

    Ann Arbor Center for Independent Living

    4 shared
  • Peyman Mohtat

    University of Michigan–Ann Arbor

    4 shared

Labs

Education

  • Ph.D.

    University of California, Los Angeles

Awards & honors

  • MTRAC Winner Award, State of Michigan Translational Research…
  • Richard F. and Eleanor A. Towner Prize for Distinguished Aca…
  • Rackham Graduate Student Research Grant, University of Michi…
  • Travel Grant by American Automatic Control Council (2019)
  • Rackham Graduate Student Fellowship, University of Michigan…

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