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        A High-Efficiency Bidirectional AC/DC Topology for V2G Applications

        Su, Mei,Li, Hua,Sun, Yao,Xiong, Wenjing The Korean Institute of Power Electronics 2014 JOURNAL OF POWER ELECTRONICS Vol.14 No.5

        This paper proposes a single-phase bidirectional AC/DC converter topology applied in V2G systems, which consists of an inverter and a bidirectional non-inverting buck-boost converter. This topology can operate in four modes: buck charging, boost charging, buck discharging and boost discharging with high input current quality and unity input power factor. The inverter switches at line frequency, which is different from conventional voltage source inverters. A bidirectional buck-boost converter is utilized to adapt to a wider charging voltage range. The modulation and control strategy is introduced in detail, and the switching patterns are optimized to reduce the current ripple. In addition, the semiconductor losses are analyzed. Simulation and experimental results demonstrate the validity and effectiveness of the proposed topology.

      • KCI등재

        A High-Efficiency Bidirectional AC/DC Topology for V2G Applications

        Mei Su,Hua Li,Yao Sun,Wenjing Xiong 전력전자학회 2014 JOURNAL OF POWER ELECTRONICS Vol.14 No.5

        This paper proposes a single-phase bidirectional AC/DC converter topology applied in V2G systems, which consists of an inverter and a bidirectional non-inverting buck-boost converter. This topology can operate in four modes: buck charging, boost charging, buck discharging and boost discharging with high input current quality and unity input power factor. The inverter switches at line frequency, which is different from conventional voltage source inverters. A bidirectional buck-boost converter is utilized to adapt to a wider charging voltage range. The modulation and control strategy is introduced in detail, and the switching patterns are optimized to reduce the current ripple. In addition, the semiconductor losses are analyzed. Simulation and experimental results demonstrate the validity and effectiveness of the proposed topology.

      • KCI등재

        The Associations of Family Functioning, General Well-Being, and Exercise with Mental Health among End-Stage Renal Disease Patients

        Qi Wang,Hongjian Liu,Zheng Ren,Wenjing Xiong,Minfu He,Nan Li,Xinwen Fan,Xia Guo,Xiangrong Li,Hong Shi,Shuang Zha,Xiumin Zhang 대한신경정신의학회 2020 PSYCHIATRY INVESTIGATION Vol.17 No.4

        Objective This study aims to explore the relationships of family functioning, general well-being, and exercise with psychological distress. Furthermore, we investigated the special roles of general well-being and exercise on the association between family functioning and psychological distress. Methods Of 769 end-stage renal disease (ESRD) patients participated in the cross-sectional study which consisted of the 12-item General Health Questionnaire (GHQ-12), the Family APGAR Scales, and the General Well-Being Schedule. The collected data were analyzed using multiple linear regression analysis and path analysis. Results The prevalence of psychological distress was 72.3%. Family functioning, general well-being and exercise were associated factors of psychological distress (p<0.05). The indirect effect of family functioning on psychological distress was partially mediated by general well-being (Effect=-0.08, 95% CI=-0.11, -0.04). In addition, the effect of family functioning on general well-being was moderated by exercise (Index=-0.092, SE=0.033, 95% CI=-0.159, -0.029). Conclusion The prevalence of psychological distress among ESRD patients was high. Family functioning, general well-being and exercise were associated with psychological distress. Family functioning could affect psychological distress partially by affecting general wellbeing. Furthermore, exercise had a significant moderating effect on the relationship between family functioning and general well-being.

      • KCI등재

        Weighting factor design based on SVR–MOPSO for finite set MPC operated power electronic converters

        Yonglu Liu,Zhengmao Yang,Xubin Liu,Hanbing Dan,Wenjing Xiong,Tao Ling,Mei Su 전력전자학회 2022 JOURNAL OF POWER ELECTRONICS Vol.22 No.7

        Selecting weighting factors is a challenge for the finite set model predictive control (FS-MPC). Based on the support vector regression (SVR) algorithm and the multi-objective particle swarm optimization (MOPSO) algorithm, this paper proposes a new weighting factor design principle. SVR is used to establish the functional relationship between the input weighting factors and the output performance indexes (such as the average switching frequency (fsw) and the total harmonic distortion of the output voltage). Even in the case of small samples, this can provide accurate performance index estimates for any combination of weighting factors. The established SVR function is taken as the fitness function. Then, MOPSO is used to search for Pareto optimal weighting factor combinations. The proposed method can converge in a few steps and does not require tedious calculations. Moreover, it is applicable to optimization problem with two or more weighting factors for arbitrary topology models. It also provides a range of optimal weighting factor solution sets. Finally, the proposed methodology is verified on a practical weighting factor design problem in a FS-MPC regulated voltage source inverter. Experimental results confirm the correctness of the theoretical analysis.

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