Energy optimization path planning for battery-powered agricultural rover

Cong Niu; Xiutian Yan

doi:10.1051/matecconf/201817302001

Energy optimization path planning for battery-powered agricultural rover

Cong Niu, Xiutian Yan^*

^*Corresponding author for this work

Research output: Contribution to journal › Conference article › peer-review

3 Citations (Scopus)

29 Downloads (Pure)

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	https://doi.org/10.1051/matecconf/201817302001
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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10.1051/matecconf/201817302001Licence: CC BY 4.0

Niu-Yan-MATEC-2018-Energy-optimization-path-planning-for-battery-powered-agricultural-roverFinal published version, 1.11 MBLicence: CC BY 4.0

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).; 2018 International Conference on Smart Materials, Intelligent Manufacturing and Automation, SMIMA 2018 ; Conference date: 24-05-2018 Through 26-05-2018",

year = "2018",

month = jun,

day = "19",

doi = "10.1051/matecconf/201817302001",

language = "English",

volume = "173",

journal = "MATEC Web of Conferences",

issn = "2261-236X",

publisher = "EDP Sciences",

}

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

AN - SCOPUS:85051129113

SN - 2261-236X

VL - 173

JO - MATEC Web of Conferences

JF - MATEC Web of Conferences

M1 - 02001

T2 - 2018 International Conference on Smart Materials, Intelligent Manufacturing and Automation, SMIMA 2018

Y2 - 24 May 2018 through 26 May 2018

ER -

Energy optimization path planning for battery-powered agricultural rover

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Keywords

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