Energy optimization path planning for battery-powered agricultural rover

Research output: Contribution to journalConference article

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.

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Motion planning
planning
energy
batteries

Keywords

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

Cite this

@article{8cad83761b974208afeee39d2c1c658a,
title = "Energy optimization path planning for battery-powered agricultural rover",
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.",
keywords = "battery life, batteries, agriculture, path planning, agricultural rover",
author = "Cong Niu and Xiutian Yan",
note = "Paper presented at the 2018 International Conference on Smart Materials, Intelligent Manufacturing and Automation (SMIMA 2018).",
year = "2018",
month = "6",
day = "19",
doi = "10.1051/matecconf/201817302001",
language = "English",
volume = "173",
journal = "MATEC Web of Conferences",
issn = "2261-236X",

}

Energy optimization path planning for battery-powered agricultural rover. / Niu, Cong; Yan, Xiutian.

In: MATEC Web of Conferences, Vol. 173, 02001, 19.06.2018.

Research output: Contribution to journalConference article

TY - JOUR

T1 - Energy optimization path planning for battery-powered agricultural rover

AU - Niu, Cong

AU - Yan, Xiutian

N1 - Paper presented at the 2018 International Conference on Smart Materials, Intelligent Manufacturing and Automation (SMIMA 2018).

PY - 2018/6/19

Y1 - 2018/6/19

N2 - 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.

AB - 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.

KW - battery life

KW - batteries

KW - agriculture

KW - path planning

KW - agricultural rover

U2 - 10.1051/matecconf/201817302001

DO - 10.1051/matecconf/201817302001

M3 - Conference article

VL - 173

JO - MATEC Web of Conferences

T2 - MATEC Web of Conferences

JF - MATEC Web of Conferences

SN - 2261-236X

M1 - 02001

ER -