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Empirically Validated Method to Simulate Electric Minibus Taxi Efficiency Using Tracking Data

Author

Listed:
  • Chris Joseph Abraham

    (Industrial Engineering, Stellenbosch University, Matieland 7602, South Africa)

  • Stephan Lacock

    (Electrical and Electronic Engineering, Stellenbosch University, Matieland 7602, South Africa)

  • Armand André du Plessis

    (Electrical and Electronic Engineering, Stellenbosch University, Matieland 7602, South Africa)

  • Marthinus Johannes Booysen

    (Industrial Engineering, Stellenbosch University, Matieland 7602, South Africa
    Electrical and Electronic Engineering, Stellenbosch University, Matieland 7602, South Africa)

Abstract

Simulation is a cornerstone of planning and facilitating the transition towards electric mobility in sub-Saharan Africa’s informal public transport. The primary objective of this study is to validate and refine the electro-kinetic model used to simulate electric versions of the sector’s minibuses. A systematic simulation methodology is also developed to correct the simulation parameters and improve the high-frequency GPS data used with the model. A retrofitted electric minibus was used to capture high-frequency GPS mobility data and power draw from the battery. The method incorporates key refinements such as corrections for gross vehicle mass, elevation and speed smoothing, radial drag, hill-climb forces, and the calibration of propulsion and regenerative braking parameters. The refined simulation demonstrates improved alignment with measured power draw and trip energy usage, reducing error margins and enhancing model reliability. Factors such as trip characteristics and environmental conditions, including wind resistance, are identified as potential contributors to observed discrepancies. These findings highlight the importance of precise data handling and model calibration for accurate energy simulation and decision making in the transition to electric public transport. This work provides a robust framework for future studies and practical implementations, offering insights into the technical and operational challenges of electrifying informal public transport systems in resource-constrained regions.

Suggested Citation

  • Chris Joseph Abraham & Stephan Lacock & Armand André du Plessis & Marthinus Johannes Booysen, 2025. "Empirically Validated Method to Simulate Electric Minibus Taxi Efficiency Using Tracking Data," Energies, MDPI, vol. 18(2), pages 1-21, January.
  • Handle: RePEc:gam:jeners:v:18:y:2025:i:2:p:446-:d:1571930
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    References listed on IDEAS

    as
    1. Kuang, Haoxuan & Qu, Haohao & Deng, Kunxiang & Li, Jun, 2024. "A physics-informed graph learning approach for citywide electric vehicle charging demand prediction and pricing," Applied Energy, Elsevier, vol. 363(C).
    2. Faissal Jelti & Amine Allouhi & Kheira Anissa Tabet Aoul, 2023. "Transition Paths towards a Sustainable Transportation System: A Literature Review," Sustainability, MDPI, vol. 15(21), pages 1-25, October.
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