Chinese Journal of Ship Research, Volume. 16, Issue 4, 208(2021)

Mobile photovoltaic online charging MPPT technology based on variable step size disturbance approximation method

Jiajun GAO1, Weibo LI1,2, Qi LI1, Zhenjie ZOU2, and Yue LU2
Author Affiliations
  • 1School of Automation, Wuhan University of Technology, Wuhan 430070, China
  • 2Institute of Oxgen Supply, Tibet University, Lhasa 850012, China
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    Objective

    In order to improve the charging efficiency, safety and speed of mobile online photovoltaic (PV) charging devices, a type of mobile online PV charging maximum power point tracking (MPPT) technology based on the variable step size disturbance approximation method is proposed.

    Methods

    By combining a high-frequency inverter and isolation transformer as the MPPT carrier, the former DC/DC structure of traditional PV charging topology devices is removed, charging control is combined with the pulse modulation of the high-frequency inverter, and the three functions of high-frequency isolation, MPPT tracking and charging control are finally integrated into one. At the same time, according to the different states of the remaining power battery, a three-stage charging control strategy is proposed.

    Results

    Simulation analysis and field test results show that this device can track the maximum power points of PV panels stably when their illumination intensity changes, and the battery can be charged efficiently in the three stages according to the set charging scheme. The measured overall charging efficiency can be maintained above 92%.

    Conclusion

    This device and control strategy can improve PV panel-to-battery charging efficiency and meet the requirements of fast and safe charging.

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    Jiajun GAO, Weibo LI, Qi LI, Zhenjie ZOU, Yue LU. Mobile photovoltaic online charging MPPT technology based on variable step size disturbance approximation method[J]. Chinese Journal of Ship Research, 2021, 16(4): 208

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    Paper Information

    Category: Marine Machinery, Electrical Equipment and Automation

    Received: Jul. 23, 2019

    Accepted: --

    Published Online: Mar. 28, 2025

    The Author Email:

    DOI:10.19693/j.issn.1673-3185.01948

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