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A Dynamic Transition Algorithm Integrated with Hybrid Modulation for CLLC Resonant Converters.

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Title: A Dynamic Transition Algorithm Integrated with Hybrid Modulation for CLLC Resonant Converters.
Authors: Qian, Jiaxin1 (AUTHOR) qianjiaxin@hdu.edu.cn, Lin, Huipin1 (AUTHOR), Tong, Hongtao1 (AUTHOR), Gao, Mingyu1 (AUTHOR), He, Zhiwei1 (AUTHOR) zwhe@hdu.edu.cn
Source: Energies (19961073). Oct2023, Vol. 16 Issue 20, p7173. 19p.
Subjects: Pulse frequency modulation, Algorithms, Energy transfer
Abstract: The CLLC resonant converter is a widely used bidirectional power converter known for its high energy transfer efficiency. To extend its operating range, the converter often employs a hybrid modulation strategy, which is valued for its simplicity and efficiency. However, at the critical transition point between pulse frequency modulation and phase-shift modulation, instability in the output can be observed due to repetitive and unnecessary mode changes caused by noise. In order to address this issue, this paper introduces a dynamic transition algorithm integrated with hybrid modulation. This approach adaptively updates the controller parameters to mitigate oscillations resulting from improper initial parameter settings. Additionally, it incorporates error analysis and hysteresis comparison to prevent false triggers caused by noise, enabling intelligent mode adjustments. Finally, a 1 kW prototype is designed to conduct experiments, demonstrating an approximately 50% improvement in dynamic performance when the converter operates with the dynamic transition algorithm. [ABSTRACT FROM AUTHOR]
Copyright of Energies (19961073) is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: A Dynamic Transition Algorithm Integrated with Hybrid Modulation for CLLC Resonant Converters.
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  Data: <searchLink fieldCode="AR" term="%22Qian%2C+Jiaxin%22">Qian, Jiaxin</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> qianjiaxin@hdu.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Lin%2C+Huipin%22">Lin, Huipin</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Tong%2C+Hongtao%22">Tong, Hongtao</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Gao%2C+Mingyu%22">Gao, Mingyu</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22He%2C+Zhiwei%22">He, Zhiwei</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> zwhe@hdu.edu.cn</i>
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– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: The CLLC resonant converter is a widely used bidirectional power converter known for its high energy transfer efficiency. To extend its operating range, the converter often employs a hybrid modulation strategy, which is valued for its simplicity and efficiency. However, at the critical transition point between pulse frequency modulation and phase-shift modulation, instability in the output can be observed due to repetitive and unnecessary mode changes caused by noise. In order to address this issue, this paper introduces a dynamic transition algorithm integrated with hybrid modulation. This approach adaptively updates the controller parameters to mitigate oscillations resulting from improper initial parameter settings. Additionally, it incorporates error analysis and hysteresis comparison to prevent false triggers caused by noise, enabling intelligent mode adjustments. Finally, a 1 kW prototype is designed to conduct experiments, demonstrating an approximately 50% improvement in dynamic performance when the converter operates with the dynamic transition algorithm. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Energies (19961073) is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.3390/en16207173
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        Text: English
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      – SubjectFull: Energy transfer
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              M: 10
              Text: Oct2023
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              Y: 2023
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