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Power Consumption Analysis of a Prototype Lightweight Autonomous Electric Cargo Robot in Agricultural Field Operation Scenarios

Author

Listed:
  • Dimitrios Loukatos

    (Department of Natural Resources Management and Agricultural Engineering, Agricultural University of Athens, 11855 Athens, Greece)

  • Vasileios Arapostathis

    (Department of Natural Resources Management and Agricultural Engineering, Agricultural University of Athens, 11855 Athens, Greece)

  • Christos-Spyridon Karavas

    (Department of Natural Resources Management and Agricultural Engineering, Agricultural University of Athens, 11855 Athens, Greece)

  • Konstantinos G. Arvanitis

    (Department of Natural Resources Management and Agricultural Engineering, Agricultural University of Athens, 11855 Athens, Greece)

  • George Papadakis

    (Department of Natural Resources Management and Agricultural Engineering, Agricultural University of Athens, 11855 Athens, Greece)

Abstract

The continuous growth of the urban electric vehicles market and the rapid progress of the electronics industry create positive prospects towards fostering the development of autonomous robotic solutions for covering critical production sectors. Agriculture can be seen as such, as its digital transformation is a promising necessity for protecting the environment, and for tackling the degradation of natural resources and increasing nutritional needs of the population on Earth. Many studies focus on the potential of agricultural robotic vehicles to perform operations of increased intelligence. In parallel, the study of the activity footprint of these vehicles can be the basis for supervising, detecting the malfunctions, scaling up, modeling, or optimizing the related operations. In this regard, this work, employing a prototype lightweight autonomous electric cargo vehicle, outlines a simple and cost-effective mechanism for a detailed robot’s power consumption logging. This process is conducted at a fine time granularity, allowing for detailed tracking. The study also discusses the robot’s energy performance across various typical agricultural field operation scenarios. In addition, a comparative analysis has been conducted to evaluate the performance of two different types of batteries for powering the robot for all the operation scenarios. Even non-expert users can conduct the field operation experiments, while directions are provided for the potential use of the data being collected. Given the linear relationship between the size and the consumption of electric robotic vehicles, the energy performance of the prototype agricultural cargo robot can serve as a basis for various studies in the area.

Suggested Citation

  • Dimitrios Loukatos & Vasileios Arapostathis & Christos-Spyridon Karavas & Konstantinos G. Arvanitis & George Papadakis, 2024. "Power Consumption Analysis of a Prototype Lightweight Autonomous Electric Cargo Robot in Agricultural Field Operation Scenarios," Energies, MDPI, vol. 17(5), pages 1-24, March.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:5:p:1244-:d:1351702
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    References listed on IDEAS

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    1. William Ridley & Stephen Devadoss, 2021. "The Effects of COVID‐19 on Fruit and Vegetable Production," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 43(1), pages 329-340, March.
    2. Zhang, Jin & Wang, Zhenpo & Liu, Peng & Zhang, Zhaosheng, 2020. "Energy consumption analysis and prediction of electric vehicles based on real-world driving data," Applied Energy, Elsevier, vol. 275(C).
    3. Anthony King, 2017. "Technology: The Future of Agriculture," Nature, Nature, vol. 544(7651), pages 21-23, April.
    4. Dimitrios Rimpas & Stavrοs D. Kaminaris & Dimitrios D. Piromalis & George Vokas & Konstantinos G. Arvanitis & Christos-Spyridon Karavas, 2023. "Comparative Review of Motor Technologies for Electric Vehicles Powered by a Hybrid Energy Storage System Based on Multi-Criteria Analysis," Energies, MDPI, vol. 16(6), pages 1-24, March.
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