
Analysis of Power Generation in Electric Scooters with Photovoltaic Panel Integration : A Monte Carlo Simulation Approach
Author(s) -
Jae-Hwan Ko,
Sung-Min Park
Publication year - 2025
Publication title -
ieee access
Language(s) - English
Resource type - Magazines
SCImago Journal Rank - 0.587
H-Index - 127
eISSN - 2169-3536
DOI - 10.1109/access.2025.3592259
Subject(s) - aerospace , bioengineering , communication, networking and broadcast technologies , components, circuits, devices and systems , computing and processing , engineered materials, dielectrics and plasmas , engineering profession , fields, waves and electromagnetics , general topics for engineers , geoscience , nuclear engineering , photonics and electrooptics , power, energy and industry applications , robotics and control systems , signal processing and analysis , transportation
This paper analyzes power generation and corresponding additional driving range of various photovoltaic array configurations mounted on an electric scooter. Shared electric scooters have been widely used for short-distance travel. However, they are often unavailable due to insufficient charging after use. To address this issue, photovoltaic panels can be installed on the electric scooter to enable self-charging capabilities. The power generation of photovoltaic panels is affected by continuously varying factors. These include irradiance and shading conditions. Due to the aforementioned factors, accurately estimating the power generation from a photovoltaic array remains a challenge. This study statistically analyzes the power generation of each photovoltaic array configuration using the Monte Carlo method. The power at the global maximum power point is obtained under random irradiance and shading scenarios. Based on these results, the annual power generation and the corresponding additional driving range are calculated.
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