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      • Comprehensive Improvement of Temperature-Dependent Jiles–Atherton Model Utilizing Variable Model Parameters

        Zhang, Dianhai,Jia, Mengfan,Liu, Yang,Ren, Ziyan,Koh, Chang-Seop IEEE 2018 IEEE transactions on magnetics Vol.54 No.3

        <P>With the change of temperature, magnetic characteristics of electrical steel sheet (ESS) exhibit remarkable variations, in particular, at high-temperature region. If the magnetic field of electromagnetic devices operating under high temperature is analyzed by the magnetization data recorded under room temperature, the analysis findings appear to be quite different from the real ones. In order to understand and apply the real magnetic behavior in ESS, a temperature-dependent hysteresis model is quite necessary. In this paper, a physical background-based Jiles–Atherton (J–A) model is enhanced for revealing temperature effects through the introduction of temperature-dependent parameter on the base of observation of measurement data. In addition, the inaccuracy of J–A model in the range of weak applied field is enhanced with the use of variable parameter set. Ultimately, a comprehensive improvement algorithm of temperature-dependent J–A model is proposed followed by verification through experimental hysteresis data.</P>

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        Active and Passive Beamforming for IRS-Aided Vehicle Communication

        ( Xiangping Kong ),( Yu Wang ),( Lei Zhang ),( Yulong Shang ),( Ziyan Jia ) 한국인터넷정보학회 2023 KSII Transactions on Internet and Information Syst Vol.17 No.5

        This paper considers the jointly active and passive beamforming design in the IRS-aided MISO downlink vehicle communication system where both V2I and V2V communication paradigms coexist. We formulate the problem as an optimization problem aiming to minimize the total transmit power of the base station subject to SINR requirements of both V2I and V2V users, total transmit power of base station and IRS’s phase shift constraints. To deal with this non-convex problem, we propose a method which can alternately optimize the active beamforming at the base station and the passive beamforming at the IRS. By using first-order Taylor expansion, matrix analysis theory and penalized convex-concave process method, the non-convex optimization problem with coupled variables is converted into two decoupled convex sub-problems. The simulation results show that the proposed alternate optimization algorithm can significantly decrease the total transmit power of the vehicle base station.

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