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Comparing batteries to generators as power sources for use with mobile robotics

机译:比较电池和发电机作为移动机器人使用的电源

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摘要

This paper considers the scaling principles associated with the power and energy density of batteries and generators as applied to mobile robots and similarly-sized vehicles. We seek to identify, based on present technology, the size range at which a generator inclusive of a direct current electric motor, gearbox, and internal combustion engine can be effectively used to replace modern batteries. Models were derived to scale each component of the generator as a function of power, mass, efficiency, and speed. For a given power, energy, or mass requirement, these models illustrate that generators based on conventional technology are ill-suited for smaller robots. The results indicate that there is an intermediate robot size above which a hybrid generator/battery architecture is desirable. Using these scaling principles with modest extensions of existing battery technologies, it is also possible to infer the near-future perfor-mance of robot power technology and thus illustrate whether the generator-versus-battery tradeoff will shift toward or away from a hybrid robot topology for smaller vehicle systems.
机译:本文考虑了与应用于移动机器人和类似大小的车辆的电池和发电机的功率和能量密度相关的缩放原理。我们试图基于现有技术确定尺寸范围,在该尺寸范围内,包括直流电动机,齿轮箱和内燃机在内的发电机可以有效地用来替代现代电池。推导了模型,以根据功率,质量,效率和速度来缩放发电机的每个组件。对于给定的功率,能量或质量要求,这些模型说明基于常规技术的发电机不适用于较小的机器人。结果表明存在一个中等规模的机器人,在该机器人之上需要混合发电机/电池体系结构。使用这些缩放原理以及对现有电池技术的适度扩展,还可以推断出机器人电源技术的近乎未来的性能,从而说明发电机与电池的权衡是否会朝着或远离混合机器人拓扑发展适用于较小的车辆系统。

著录项

  • 来源
    《Journal of power sources》 |2012年第15期|p.130-138|共9页
  • 作者单位

    Department of Mechanical and Nuclear Engineering, The Pennsylvania State University, University Park, PA 16802, United States;

    Department of Mechanical and Nuclear Engineering, The Pennsylvania State University, University Park, PA 16802, United States;

    Department of Mechanical and Nuclear Engineering, The Pennsylvania State University, University Park, PA 16802, United States;

    Applied Research Laboratory, The Pennsylvania State University, University Park, PA 16802, United States;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    robot; allometry; generator; battery;

    机译:机器人;异速测量;发电机;电池;

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