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http://hdl.handle.net/1942/37347
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DC Field | Value | Language |
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dc.contributor.author | Monsalve, German | - |
dc.contributor.author | Cardenas, Alben | - |
dc.contributor.author | MARTINEZ, Wilmar | - |
dc.date.accessioned | 2022-05-30T12:21:53Z | - |
dc.date.available | 2022-05-30T12:21:53Z | - |
dc.date.issued | 2021 | - |
dc.date.submitted | 2022-05-10T11:44:00Z | - |
dc.identifier.citation | IECON 2021 - 47TH ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY, IEEE, p. 1 -7 | - |
dc.identifier.isbn | 978-1-6654-3554-3 | - |
dc.identifier.uri | http://hdl.handle.net/1942/37347 | - |
dc.description.abstract | Agricultural Robots are key and promising solutions for safe and sustainable food production. They can improve the quality of life of farmworkers, help reduce water and air pollution associated with traditional agricultural practices, enable bio and chemical-free crops. Finally, their deployment could bring us a better world. Agricultural Robots are essentially mobile platforms able to accomplish specific tasks in a field and work with an embedded electricity source with limited capacity. The accurate estimation of the available energy or the State of Charge (SoC) and the efficient management are primordial for their deployment. This paper provides a short review of SoC estimation methods implemented in mobile robots and highlights current challenges and limitations in this area. We also provide a study of model-based SoC estimation techniques and preliminary results of parameters and SoC estimation. We use a dataset of a Li-ion battery from Panasonic. | - |
dc.language.iso | en | - |
dc.publisher | IEEE | - |
dc.relation.ispartofseries | IEEE Industrial Electronics Society | - |
dc.rights | Copyright 2022 IEEE - All rights reserved. | - |
dc.subject.other | Agricultural Robots | - |
dc.subject.other | SoC | - |
dc.subject.other | Battery Management System | - |
dc.subject.other | Energy Management System | - |
dc.title | SoC Estimation Techniques for Efficient Agricultural Robots | - |
dc.type | Proceedings Paper | - |
local.bibliographicCitation.conferencedate | OCT 13-16, 2021 | - |
local.bibliographicCitation.conferencename | 47th Annual Conference of the IEEE-Industrial-Electronics-Society (IECON) | - |
local.bibliographicCitation.conferenceplace | ELECTR NETWORK | - |
dc.identifier.epage | 7 | - |
dc.identifier.spage | 1 | - |
local.format.pages | 7 | - |
local.bibliographicCitation.jcat | C1 | - |
dc.description.notes | Monsalve, G (corresponding author), Univ Quebec Trois Rivieres, Dept Elect & Comp Engn, Trois Rivieres, PQ, Canada. | - |
dc.description.notes | german.monsalve@uqtr.ca; alben.cardenasgonzalez@uqtr.ca; | - |
dc.description.notes | wilmar.martinez@kuleuven.be | - |
local.publisher.place | 345 E 47TH ST, NEW YORK, NY 10017 USA | - |
local.type.refereed | Refereed | - |
local.type.specified | Proceedings Paper | - |
dc.identifier.doi | 10.1109/IECON48115.2021.9589636 | - |
dc.identifier.isi | WOS:000767230603061 | - |
dc.contributor.orcid | Martinez, Wilmar/0000-0002-3050-1944 | - |
local.provider.type | wosris | - |
local.bibliographicCitation.btitle | IECON 2021 - 47TH ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY | - |
local.description.affiliation | [Monsalve, German; Cardenas, Alben] Univ Quebec Trois Rivieres, Dept Elect & Comp Engn, Trois Rivieres, PQ, Canada. | - |
local.description.affiliation | [Martinez, Wilmar] KU Leuven EnergyVille, Dept Elect Engn ESAT, Diepenbeek, Belgium. | - |
local.uhasselt.international | yes | - |
item.fulltext | With Fulltext | - |
item.accessRights | Restricted Access | - |
item.contributor | Monsalve, German | - |
item.contributor | Cardenas, Alben | - |
item.contributor | MARTINEZ, Wilmar | - |
item.fullcitation | Monsalve, German; Cardenas, Alben & MARTINEZ, Wilmar (2021) SoC Estimation Techniques for Efficient Agricultural Robots. In: IECON 2021 - 47TH ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY, IEEE, p. 1 -7. | - |
Appears in Collections: | Research publications |
Files in This Item:
File | Description | Size | Format | |
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IECON German UQTR - 2021195757.pdf Restricted Access | Peer-reviewed author version | 667.14 kB | Adobe PDF | View/Open Request a copy |
SoC Estimation Techniques for Efficient Agricultural Robots.pdf Restricted Access | Published version | 1.38 MB | Adobe PDF | View/Open Request a copy |
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