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Volume 56 Issue 2
Apr.  2021
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Article Contents
Journal of Southwest Jiaotong University  > 2021  >  56(2): 354-362.
HAN Guopeng, XUE Congcong, WANG Wei, CHEN Weirong, GUO Ai, DAI Chaohua, LIU Zhengjie. Fast Power Tracking Step-Scanning Method of Vehicle-Mounted Photovoltaic System with Moving Shadows[J]. Journal of Southwest Jiaotong University, 2021, 56(2): 354-362. doi: 10.3969/j.issn.0258-2724.20191183
Citation: HAN Guopeng, XUE Congcong, WANG Wei, CHEN Weirong, GUO Ai, DAI Chaohua, LIU Zhengjie. Fast Power Tracking Step-Scanning Method of Vehicle-Mounted Photovoltaic System with Moving Shadows[J]. Journal of Southwest Jiaotong University, 2021, 56(2): 354-362. doi: 10.3969/j.issn.0258-2724.20191183
shu

Fast Power Tracking Step-Scanning Method of Vehicle-Mounted Photovoltaic System with Moving Shadows

doi: 10.3969/j.issn.0258-2724.20191183
  • Received Date: 13 Dec 2019
  • Rev Recd Date: 30 Jul 2020
    • Available Online: 16 Sep 2020
  • Publish Date: 15 Apr 2021
    Abstract
  • Moving shadows bring great challenges to maximum power point tracking (MPPT) of vehicle-mounted photovoltaic power generation systems. In order to improve the speed of MPPT under moving shadow occlusion, a new adaptive step-scanning method for global maximum power point tracking (GMPPT) of vehicle photovoltaic is proposed. Firstly, the influence of temperature and radiation intensity on the output characteristics of photovoltaic cells is analyzed, and the open-circuit voltage of photovoltaic cells based on temperature and short-circuit current are calculated; Then, based on the relationship between the maximum power point voltage of the series photovoltaic arrays, the output characteristics of the photovoltaic cells, and the distribution characteristics of the voltage and power at the peak point of the multimodal curve under local shadow conditions, a method of the adaptively adjusting step size for step-scanning MPPT is proposed. Finally, the feasibility test and evaluation of the proposed algorithm are carried out through simulation and photovoltaic prototype vehicle tests. The results show that, compared with the conventional scanning method, the tracking rate of the proposed algorithm can be increased by up to 74%, and the problem that the global maximum power point cannot be tracked in the case of severe occlusion can be avoided.

     

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