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Selecting Suitable Battery Technologies for Untethered Robot

Author

Listed:
  • Tom Verstraten

    (Brubotics, Department of Mechanical Engineering, Vrije Universiteit Brussel, 1050 Brussels, Belgium
    Robotics and Multibody Mechanics Research Group, Flanders Make, Pleinlaan 2, 1050 Brussels, Belgium)

  • Md Sazzad Hosen

    (MOBI—Electromobility Research Group, Department of Electrical and Energy Technology, Vrije Universiteit Brussel, 1050 Brussels, Belgium)

  • Maitane Berecibar

    (MOBI—Electromobility Research Group, Department of Electrical and Energy Technology, Vrije Universiteit Brussel, 1050 Brussels, Belgium)

  • Bram Vanderborght

    (Brubotics, Department of Mechanical Engineering, Vrije Universiteit Brussel, 1050 Brussels, Belgium
    Interuniversity Microelectronics Centre (IMEC), Pleinlaan 2, 1050 Brussels, Belgium)

Abstract

Untethered robots carry their own power supply in the form of a battery pack, which has a crucial impact on the robot’s performance. Although battery technologies are richly studied and optimized for applications such as electric vehicles, computers and smartphones, they are often a mere afterthought in the design process of a robot system. This tutorial paper proposes criteria to evaluate the suitability of different battery technologies for robotic applications. Taking into consideration the requirements of different applications, the capabilities of relevant battery technologies are evaluated and compared. The tutorial also discusses current limitations and new technological developments, pointing out opportunities for interdisciplinary research between the battery technology and robotics communities.

Suggested Citation

  • Tom Verstraten & Md Sazzad Hosen & Maitane Berecibar & Bram Vanderborght, 2023. "Selecting Suitable Battery Technologies for Untethered Robot," Energies, MDPI, vol. 16(13), pages 1-21, June.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:13:p:4904-:d:1177694
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    References listed on IDEAS

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    Cited by:

    1. Rupam Singh & Varaha Satya Bharath Kurukuru & Mohammed Ali Khan, 2023. "Advanced Power Converters and Learning in Diverse Robotic Innovation: A Review," Energies, MDPI, vol. 16(20), pages 1-28, October.

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