Adaptive MPPT: Boosting efficiency in heterogeneous power scenarios

Weiwei Zhao, Lin Li, Yaroslav Grosu, Yulong Ding*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

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Abstract

This research spotlights a sophisticated system crafted to effectively manage variations in energy harnessed from vehicular shock-absorbers. These fluctuations, a pervasive issue in energy recovery systems, engender multiple peaks in its power-voltage relationship, recognised as Heterogeneous Power scenarios. To counter this, an adaptive Maximum Power Point Tracking (MPPT) system is developed, representing a paradigm outpacing conventional algorithms such as Particle Swarm Optimization (PSO) and Cuckoo Search Algorithm (CSA) by offering superior efficiency and expedited responses. Simulation and experimental results demonstrate that our advanced algorithm realises a tracking efficiency of 99.8%, marking a 20% reduction in tracking time and a 7% increase in overall efficiency. The MPPT system effectively standardizes power outputs, converting erratic sources into stable DC power. This is particularly useful for turning mechanical vibrations from regenerative shock-absorbers and other sources into efficient DC power. Its adaptability to various scenarios, including thermoelectric generators and photovoltaic panels, highlights its wide applicability and potential in sustainable energy recovery, promising significant advancements in diverse applications.
Original languageEnglish
Article number103843
JournalSustainable Energy Technologies and Assessments
Volume67
Early online date5 Jun 2024
DOIs
Publication statusPublished - 1 Jul 2024

Keywords

  • Energy harvesting
  • Power converter
  • Maximum power point tracking (MPPT)
  • Adaptive searching scheme
  • Shock-absorber generator

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