Energy optimization path planning for battery-powered agricultural rover

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Abstract

Battery life is critical for battery-powered agricultural rovers, so techniques such as optimized moving path planning are of great significance in this field. Finding an optimized path other than straight-line path could save energy and prolong the battery life. Compared with traditional straight-line path planning, an energy-optimized path planning is realized based on artificial potential field algorithm. In simulation studies, most of the uphill is avoided and at least 10.15 % of energy is saved with the optimized path planning. We believe this energy optimization path planning algorithm is a feasible solution to extend the battery life for field operated agricultural rover.

Original languageEnglish
Article number02001
Number of pages3
JournalMATEC Web of Conferences
Volume173
DOIs
Publication statusPublished - 19 Jun 2018
Event2018 International Conference on Smart Materials, Intelligent Manufacturing and Automation, SMIMA 2018 - Nanjing, China
Duration: 24 May 201826 May 2018

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Keywords

  • battery life
  • batteries
  • agriculture
  • path planning
  • agricultural rover

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