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Use of the Maximum Power Point Tracking Method in a Portable Lithium-Ion Solar Battery Charger

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  • Marcin Szczepaniak

    (Military Institute of Engineer Technology, Obornicka 136 Str., 50-961 Wrocław, Poland
    The authors contributed equally to this work.)

  • Paweł Otręba

    (Military Institute of Engineer Technology, Obornicka 136 Str., 50-961 Wrocław, Poland
    The authors contributed equally to this work.)

  • Piotr Otręba

    (Military Institute of Engineer Technology, Obornicka 136 Str., 50-961 Wrocław, Poland
    The authors contributed equally to this work.)

  • Tomasz Sikora

    (Military Institute of Chemistry and Radiometry, 105 A. Chruściela “Montera” Ave. 105, 00-910 Warsaw, Poland)

Abstract

The use of solar panels in low-power applications is an increasingly developing topic. Various methods are currently used to obtain the highest possible solar panel power generation efficiency. The methods of determining the maximum power point (MPP) and its tracking are under constant development, resulting in the creation of new algorithms to accelerate the operational efficiency while maintaining good parameters. Typically, these methods are only used in high-power photovoltaic installations. Due to the problems resulting from the adjustment to MPP working conditions for low-power solar panels used to charge a Li-Ion battery, an attempt was made to check the feasibility of operating control based on a Pulse Width Modulation (PWM) method and a Maximum Power Point Tracking (MPPT) algorithm like the one used in high-power solar systems also for low-power systems. The article presents adaptation of PWM and MPPT methods for small chargers, including the stages of modelling a solar charger and the results of a computer simulation of the charger operation. The stages of building a real, physical device are also presented. From the analysis of the test results of the constructed charger in real- and laboratory conditions with the use of a device imitating sunlight, the so-called solar box, and comparisons with computer simulations show that the assumed goal was achieved. The results obtained with the PWM method were compared with the MPPT method. The optimization of the device operation parameters and improvement of the algorithms used in the MPPT method resulted in better optimalization of maximum point tracking, improving the efficiency of energy storage from solar cells.

Suggested Citation

  • Marcin Szczepaniak & Paweł Otręba & Piotr Otręba & Tomasz Sikora, 2021. "Use of the Maximum Power Point Tracking Method in a Portable Lithium-Ion Solar Battery Charger," Energies, MDPI, vol. 15(1), pages 1-14, December.
    • Handle: RePEc:gam:jeners:v:15:y:2021:i:1:p:26-:d:707853
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    References listed on IDEAS

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    1. Richardson, David B., 2013. "Electric vehicles and the electric grid: A review of modeling approaches, Impacts, and renewable energy integration," Renewable and Sustainable Energy Reviews, Elsevier, vol. 19(C), pages 247-254.
    2. Weitzel, Timm & Glock, C. H., 2018. "Energy Management for Stationary Electric Energy Storage Systems: A Systematic Literature Review," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 88880, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    3. Weitzel, Timm & Glock, Christoph H., 2018. "Energy management for stationary electric energy storage systems: A systematic literature review," European Journal of Operational Research, Elsevier, vol. 264(2), pages 582-606.
    4. Luo, Xing & Wang, Jihong & Dooner, Mark & Clarke, Jonathan, 2015. "Overview of current development in electrical energy storage technologies and the application potential in power system operation," Applied Energy, Elsevier, vol. 137(C), pages 511-536.
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