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Variable Universe Fuzzy PI Predictive Control for Novel On-board Charging DC-DC Converters
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Junjie SHANG  Student Member, CPSS1, Taiqiang CAO1, Xuan LIN1, Jin DAI2, Min ZHENG1
Journal of Power Supply | 2025, 23(6) : 76 - 85
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Journal of Power Supply | 2025, 23(6): 76-85
• DC-DC Converters •
Variable Universe Fuzzy PI Predictive Control for Novel On-board Charging DC-DC Converters
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Junjie SHANG  Student Member, CPSS1, Taiqiang CAO1, Xuan LIN1, Jin DAI2, Min ZHENG1
Affiliations
  • 1.School of Electrical Engineering and Electronic Information, Xihua University, Chengdu 610039, China
  • 2.Mianyang Fulin Precision Co., Ltd., Mianyang 621000, China
Published: 2025-10-30 doi: 10.13234/j.issn.2095-2805.2025.6.76
Outline
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Aimed at the problems in traditional on-board charging DC-DC converters such as a narrow soft switching range, poor dynamic response and rectifier diode voltage spike, a novel wide-range soft switching full-bridge converter is designed, and a double-closed-loop control strategy combining variable universe fuzzy PI with model prediction is adopted. First, the working mode of the novel full-bridge converter is analyzed, and its simplified state space average model is established. Second, model predictive control is used in the current loop, and compensation improvements are made to obtain the predictive expression of inductance current at the time point of k+2, thereby improving the large time delay of an actual system. Third, the control of voltage loop is changed to the transform domain fuzzy PI control with fuzzy universe self-adaptation, so as to optimize the system adaptability and improve the control precision. Simulation results show that the soft switching range of the novel converter is extended to 30% of load, and the rectifier diode voltage spike is also eliminated. Under sudden changes in load, the proposed control strategy reduces the output voltage regulation time by 17.8% and 25.6%, as well as 12.9% and 9.1%, respectively. Finally, the effectiveness of the proposed topology and control strategy was verified by experimental results.

DC-DC converter  /  wide soft switching range  /  variable universe fuzzy PI  /  model predictive control
尚俊杰中国电源学会学生会员, 曹太强, 林轩, 代锦, 郑敏. 一种新型车载充电DC-DC变换器的变论域模糊PI预测控制. 电源学报, 2025 , 23 (6) : 76 -85 . DOI: 10.13234/j.issn.2095-2805.2025.6.76
Junjie SHANG, Taiqiang CAO, Xuan LIN, Jin DAI, Min ZHENG. Variable Universe Fuzzy PI Predictive Control for Novel On-board Charging DC-DC Converters[J]. Journal of Power Supply, 2025 , 23 (6) : 76 -85 . DOI: 10.13234/j.issn.2095-2805.2025.6.76
Funding
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  • Science and Technology Planning Project of Sichuan Province(2023YFG0338)
  • Leading Projects of Major Science and Technology Projects in Sichuan Province(2025ZDZX0031)
  • Special Project of Sichuan Provincial Central Government Guiding Local Scientific and Technological Development(2024ZYD0250)
  • Chengdu Key R&D Support Plan Technology Innovation R&D Project(2024-YF08-00016-GX; 2024-YF08-00037-GX)
Appendix
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Year 2025 volume 23 Issue 6
44
4
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Article Info
doi: 10.13234/j.issn.2095-2805.2025.6.76
  • Receive Date：2022-10-25
  • Online Date：2026-10-26
  • Published：2025-10-30
Article Data
Affiliations
History
  • Received：2022-10-25
  • Revised：2023-03-23
  • Accepted：2023-05-08
Funding
Science and Technology Planning Project of Sichuan Province(2023YFG0338)
Leading Projects of Major Science and Technology Projects in Sichuan Province(2025ZDZX0031)
Special Project of Sichuan Provincial Central Government Guiding Local Scientific and Technological Development(2024ZYD0250)
Chengdu Key R&D Support Plan Technology Innovation R&D Project(2024-YF08-00016-GX; 2024-YF08-00037-GX)
Affiliations
    1.School of Electrical Engineering and Electronic Information, Xihua University, Chengdu 610039, China
    2.Mianyang Fulin Precision Co., Ltd., Mianyang 621000, China
References
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