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 language | English |
|---|---|
| Article number | 02001 |
| Number of pages | 3 |
| Journal | MATEC Web of Conferences |
| Volume | 173 |
| DOIs | |
| Publication status | Published - 19 Jun 2018 |
| Event | 2018 International Conference on Smart Materials, Intelligent Manufacturing and Automation, SMIMA 2018 - Nanjing, China Duration: 24 May 2018 → 26 May 2018 |
Keywords
- battery life
- batteries
- agriculture
- path planning
- agricultural rover
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