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Design and simulation of a solar-powered EV charging station with battery backup using raspberry Pi real-time monitoring

  • Pyae Phyo Wai*
  • , Oghenovo Okpako
  • , Kelvin Anoh
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Electric vehicles (EVs) are increasingly recognized as a key solution to decarbonize the transportation sector, particularly when powered by renewable energy. To support this transition, this study presents the design and simulation of a 4.4 kW off-grid solar-powered EV charging station with integrated battery backup, developed in MATLAB/Simulink. The proposed system operates independently of the utility grid and is evaluated under five environmental and operational scenarios to assess performance and adaptability. The charging station integrates a photovoltaic (PV) array controlled by a Perturb and Observe (P&O) maximum power point tracking (MPPT) algorithm coupled with a boost converter to maximize energy extraction. A diodebased switching mechanism ensures continuous power delivery, either directly from the PV or via the battery. Additionally, a Raspberry Pi module is incorporated for real-time monitoring of the battery's state of charge (SOC), enabling intelligent energy management. Simulation results demonstrate system efficiency ranging from 75% to 95%, with the highest performance observed under standard test conditions. The system remains robust under variable conditions, confirming the viability of off-grid operation. This work contributes a scalable, standalone EV charging solution for locations with limited or no grid access.

Original languageEnglish
Title of host publication2025 IEEE 13th International Conference on Smart Energy Grid Engineering, SEGE 2025
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages46-51
Number of pages6
ISBN (Electronic)9798331585921
ISBN (Print)9798331585938
DOIs
Publication statusPublished - 20 Oct 2025
Event13th IEEE International Conference on Smart Energy Grid Engineering, SEGE 2025 - Oshawa, Canada
Duration: 18 Aug 202520 Aug 2025

Publication series

NameIEEE SEGE Conference Proceedings
ISSN (Print)2575-2677
ISSN (Electronic)2575-2693

Conference

Conference13th IEEE International Conference on Smart Energy Grid Engineering, SEGE 2025
Country/TerritoryCanada
CityOshawa
Period18/08/2520/08/25

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • Battery Management Systems
  • Electric Vehicle Charging
  • Internet of Things
  • Maximum Power Point Tracking
  • Photovoltaics
  • Real-Time Monitoring
  • State of Charge

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