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      • Parameters Estimation of Automotive Ignition Coils Based on Support Vector Regression

        Qisong Wang,Song Li,Yongping Zhao 제어로봇시스템학회 2009 제어로봇시스템학회 국제학술대회 논문집 Vol.2009 No.8

        Ignition coils is an important part of automotive ignition system, which directly influences the vehicle’s power performance, energy consumption and environmental protection property. In this paper, a MIMO model based on support vector regression (SVR) is proposed aiming at estimating technological parameters of automotive ignition coils. With the performance parameters, such as spark current and ignition energy as inputs, the model can reach the goal to estimate the technological parameters such as windings and wire diameters of primary coils and secondary coils by choosing appropriate SVR parameters, kernel functions and training algorithm. Furthermore, experimental samples of ignition coils are specially designed, manufactured and measured to obtain training data. Simulated results prove the rationality and accuracy of the model, which shows that the model can provide guidance for the design of ignition coils.

      • SCIESCOPUSKCI등재

        Z-domain modeling of peak current mode control for full-bridge DC-DC buck converters

        Wang, Xiaohong,Huang, Qisong,Zhang, Bo,Chen, Di,Guan, Quanxue The Korean Institute of Power Electronics 2021 JOURNAL OF POWER ELECTRONICS Vol.21 No.1

        Traditional local-averaged state-space modeling for peak current mode (PCM) controls fails to explain the subharmonic oscillation phenomenon when the spectrum is higher than half of the switching frequency. To address this problem, this paper presents a small-signal modeling method in the z-domain, and builds a discrete linear model for the current loop of a full-bridge DC-DC converter. This discrete model is converted into a second-order continuous model that is able to represent the system performance with a wider frequency range. A frequency-domain analysis shows that this model can be used to explain the subharmonic oscillations and unstable characteristics. This provides an engineering guideline for the practical design of slope compensation. The effectiveness of the proposed modeling method has been verified by simulation and experimental results with a prototype working in the Buck mode.

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        Enhancement of Exchange Coupling in MM–Fe–B Nanocrystalline Ribbons Through Spontaneous Formation of Dual Hard-Magnetic Main Phases

        Xin Wang,Shunpeng Yao,Fei Liu,Xu Sun,Qisong Sun,Minggang Zhu 한국자기학회 2024 Journal of Magnetics Vol.29 No.2

        To enhance the comprehensive utilization of high-abundance La and Ce, misch metal (MM)–Fe–B magnets have become the research focus. Herein, considerable differences were observed in the magnetic properties and microstructure of rare earth (RE)–Fe–B ribbons prepared using natural or artificial MM with varying La/Ce ratios. With increasing La content, the total magnetic properties of the involved thin RE–Fe–B strip deteriorated; meanwhile, the MM–Fe–B ribbon exhibited high coercivity and maximum magnetic-energy-product values of 9.2 kOe and 9.28 MGOe, respectively. Notably, the La utilization rate increased to 28 wt.% (La/TRE). A conspicuous heterogeneous distribution of RE elements and dual hard-magnetic phases in the MM–Fe–B ribbon were noted based on transmission electron microscopy microanalysis and first-principles calculations, unlike for the (Ce, Pr, Nd)–Fe–B ribbon. Henkel plot measurements confirmed a strong exchange-coupling interaction within the MM–Fe–B ribbon, attributed to the spontaneous formation of dual hard-magnetic main phases—La–Ce-poor and La–Ce-rich.

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