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This chapter discusses using metaheuristic methods to regulate the control of MPPT MOSFET switches on buck-boost converters. It considers the dynamic parameters of solar panels, namely irradiation and cell temperature, as well as the battery’s voltage and current responses, as input to the intelligent system that will decide the switching conditions on the MOSFET buck-boost converter. By optimizing this process, the battery charging process can be more stable and can extend the battery life.

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Optimizing Maximum Power Point Tracking (MPPT) Using Metaheuristic Approximation in Charging Condition

  • 章节

  • 发表日期：

    2026年

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  • R. Y. Adhitya,
  • Noorman Rinanto,
  • Sryang Tera Sarena,
  • Syamsiar Kautsar,
  • Ridho Akbar,
  • Rachmad Andri Atmoko,
  • Zindhu Maulana Ahmad Putra,
  • Agus Khumaidi,
  • Ii Munadhif,
  • Mat Syai’in,
  • Agus Nurcahyo

摘要

This chapter discusses using metaheuristic methods to regulate the control of MPPT MOSFET switches on buck-boost converters. It considers the dynamic parameters of solar panels, namely irradiation and cell temperature, as well as the battery’s voltage and current responses, as input to the intelligent system that will decide the switching conditions on the MOSFET buck-boost converter. By optimizing this process, the battery charging process can be more stable and can extend the battery life.