Simulation of the performance of Li-ion batteries in DC/AC operating mode for electric vehicles.
Resumen:
This work simulates the performance of lithium batteries for electric vehicles under different charge and discharge rates. The simulation is based on similarity factors for power, voltage, and current, reproducing the current operation conditions of an electric vehicle at the model scale. Most current driving modes are analyzed corresponding to discharge rates from 0.1C to 0.37C. The simulation also applies to determining the charging time using charge power in current conditions, from 6.1 kW to 18.3 kW (0.1C to 0.3C). Driving conditions derive from equations for vehicle motion, including all forces. Tests have been run under two configurations, continuous and alternate current circuits, to reproduce the two types of engines used by electric vehicles. The simulation shows good agreement in charge and discharge processes, with an average deviation of 3% related to current operating conditions and 1.6% between them, proving the validity of the simulation process.
| 2024 | |
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Electric Vehicle Battery Performance Simulation Charge Discharge Time Prediction |
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| Inglés | |
| Universidad de la República | |
| COLIBRI | |
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https://www.opastpublishers.com/journal/journal-of-data-analytics-and-engineering-decision-making
https://hdl.handle.net/20.500.12008/45016 |
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| Acceso abierto | |
| Licencia Creative Commons Atribución (CC - By 4.0) |
| _version_ | 1807522995030196224 |
|---|---|
| author | Armenta Deu, Carlos |
| author2 | Carriquiry, Juan Pedro |
| author2_role | author |
| author_facet | Armenta Deu, Carlos Carriquiry, Juan Pedro |
| author_role | author |
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| collection | COLIBRI |
| dc.contributor.filiacion.none.fl_str_mv | Armenta Deu Carlos, Facultad de Físicas. Universidad Complutense de Madrid, España. Carriquiry Juan Pedro, Universidad de la República (Uruguay). Facultad de Ingeniería. |
| dc.creator.none.fl_str_mv | Armenta Deu, Carlos Carriquiry, Juan Pedro |
| dc.date.accessioned.none.fl_str_mv | 2024-07-31T15:26:15Z |
| dc.date.available.none.fl_str_mv | 2024-07-31T15:26:15Z |
| dc.date.issued.none.fl_str_mv | 2024 |
| dc.description.abstract.none.fl_txt_mv | This work simulates the performance of lithium batteries for electric vehicles under different charge and discharge rates. The simulation is based on similarity factors for power, voltage, and current, reproducing the current operation conditions of an electric vehicle at the model scale. Most current driving modes are analyzed corresponding to discharge rates from 0.1C to 0.37C. The simulation also applies to determining the charging time using charge power in current conditions, from 6.1 kW to 18.3 kW (0.1C to 0.3C). Driving conditions derive from equations for vehicle motion, including all forces. Tests have been run under two configurations, continuous and alternate current circuits, to reproduce the two types of engines used by electric vehicles. The simulation shows good agreement in charge and discharge processes, with an average deviation of 3% related to current operating conditions and 1.6% between them, proving the validity of the simulation process. |
| dc.format.extent.es.fl_str_mv | 16 p. |
| dc.format.mimetype.es.fl_str_mv | application/pdf |
| dc.identifier.citation.es.fl_str_mv | Armenta Deu, C. y Carriquiry, J. "Simulation of the performance of Li-ion batteries in DC/AC operating mode for electric vehicles". Journal of Data Analytics and Engineering Decision Making. [en línea]. 2024, vol. 1, no. 1, pp. 1-16. |
| dc.identifier.uri.none.fl_str_mv | https://www.opastpublishers.com/journal/journal-of-data-analytics-and-engineering-decision-making https://hdl.handle.net/20.500.12008/45016 |
| dc.language.iso.none.fl_str_mv | en eng |
| dc.publisher.es.fl_str_mv | Opast Publishing Group |
| dc.relation.ispartof.es.fl_str_mv | Journal of Data Analytics and Engineering Decision Making, vol. 1, no. 1, jul 2024, pp. 1-16. |
| dc.rights.license.none.fl_str_mv | Licencia Creative Commons Atribución (CC - By 4.0) |
| dc.rights.none.fl_str_mv | info:eu-repo/semantics/openAccess |
| dc.source.none.fl_str_mv | reponame:COLIBRI instname:Universidad de la República instacron:Universidad de la República |
| dc.subject.es.fl_str_mv | Electric Vehicle Battery Performance Simulation Charge Discharge Time Prediction |
| dc.title.none.fl_str_mv | Simulation of the performance of Li-ion batteries in DC/AC operating mode for electric vehicles. |
| dc.type.es.fl_str_mv | Artículo |
| dc.type.none.fl_str_mv | info:eu-repo/semantics/article |
| dc.type.version.none.fl_str_mv | info:eu-repo/semantics/publishedVersion |
| description | This work simulates the performance of lithium batteries for electric vehicles under different charge and discharge rates. The simulation is based on similarity factors for power, voltage, and current, reproducing the current operation conditions of an electric vehicle at the model scale. Most current driving modes are analyzed corresponding to discharge rates from 0.1C to 0.37C. The simulation also applies to determining the charging time using charge power in current conditions, from 6.1 kW to 18.3 kW (0.1C to 0.3C). Driving conditions derive from equations for vehicle motion, including all forces. Tests have been run under two configurations, continuous and alternate current circuits, to reproduce the two types of engines used by electric vehicles. The simulation shows good agreement in charge and discharge processes, with an average deviation of 3% related to current operating conditions and 1.6% between them, proving the validity of the simulation process. |
| eu_rights_str_mv | openAccess |
| format | article |
| id | COLIBRI_d68cd173ce8b81d8e5d0419a1c641b22 |
| identifier_str_mv | Armenta Deu, C. y Carriquiry, J. "Simulation of the performance of Li-ion batteries in DC/AC operating mode for electric vehicles". Journal of Data Analytics and Engineering Decision Making. [en línea]. 2024, vol. 1, no. 1, pp. 1-16. |
| instacron_str | Universidad de la República |
| institution | Universidad de la República |
| instname_str | Universidad de la República |
| language | eng |
| language_invalid_str_mv | en |
| network_acronym_str | COLIBRI |
| network_name_str | COLIBRI |
| oai_identifier_str | oai:colibri.udelar.edu.uy:20.500.12008/45016 |
| publishDate | 2024 |
| reponame_str | COLIBRI |
| repository.mail.fl_str_mv | mabel.seroubian@seciu.edu.uy |
| repository.name.fl_str_mv | COLIBRI - Universidad de la República |
| repository_id_str | 4771 |
| rights_invalid_str_mv | Licencia Creative Commons Atribución (CC - By 4.0) |
| spelling | Armenta Deu Carlos, Facultad de Físicas. Universidad Complutense de Madrid, España.Carriquiry Juan Pedro, Universidad de la República (Uruguay). Facultad de Ingeniería.2024-07-31T15:26:15Z2024-07-31T15:26:15Z2024Armenta Deu, C. y Carriquiry, J. "Simulation of the performance of Li-ion batteries in DC/AC operating mode for electric vehicles". Journal of Data Analytics and Engineering Decision Making. [en línea]. 2024, vol. 1, no. 1, pp. 1-16.https://www.opastpublishers.com/journal/journal-of-data-analytics-and-engineering-decision-makinghttps://hdl.handle.net/20.500.12008/45016This work simulates the performance of lithium batteries for electric vehicles under different charge and discharge rates. The simulation is based on similarity factors for power, voltage, and current, reproducing the current operation conditions of an electric vehicle at the model scale. Most current driving modes are analyzed corresponding to discharge rates from 0.1C to 0.37C. The simulation also applies to determining the charging time using charge power in current conditions, from 6.1 kW to 18.3 kW (0.1C to 0.3C). Driving conditions derive from equations for vehicle motion, including all forces. Tests have been run under two configurations, continuous and alternate current circuits, to reproduce the two types of engines used by electric vehicles. The simulation shows good agreement in charge and discharge processes, with an average deviation of 3% related to current operating conditions and 1.6% between them, proving the validity of the simulation process.Submitted by Ribeiro Jorge (jribeiro@fing.edu.uy) on 2024-07-31T02:03:37Z No. of bitstreams: 2 license_rdf: 24251 bytes, checksum: 71ed42ef0a0b648670f707320be37b90 (MD5) AC24.pdf: 1085252 bytes, checksum: 6f7c528f6f7e14f67af74333829ea13f (MD5)Approved for entry into archive by Machado Jimena (jmachado@fing.edu.uy) on 2024-07-31T14:37:40Z (GMT) No. of bitstreams: 2 license_rdf: 24251 bytes, checksum: 71ed42ef0a0b648670f707320be37b90 (MD5) AC24.pdf: 1085252 bytes, checksum: 6f7c528f6f7e14f67af74333829ea13f (MD5)Made available in DSpace by Luna Fabiana (fabiana.luna@seciu.edu.uy) on 2024-07-31T15:26:15Z (GMT). No. of bitstreams: 2 license_rdf: 24251 bytes, checksum: 71ed42ef0a0b648670f707320be37b90 (MD5) AC24.pdf: 1085252 bytes, checksum: 6f7c528f6f7e14f67af74333829ea13f (MD5) Previous issue date: 202416 p.application/pdfenengOpast Publishing GroupJournal of Data Analytics and Engineering Decision Making, vol. 1, no. 1, jul 2024, pp. 1-16.Las obras depositadas en el Repositorio se rigen por la Ordenanza de los Derechos de la Propiedad Intelectual de la Universidad de la República.(Res. Nº 91 de C.D.C. de 8/III/1994 – D.O. 7/IV/1994) y por la Ordenanza del Repositorio Abierto de la Universidad de la República (Res. Nº 16 de C.D.C. de 07/10/2014)info:eu-repo/semantics/openAccessLicencia Creative Commons Atribución (CC - By 4.0)Electric VehicleBattery PerformanceSimulationChargeDischargeTime PredictionSimulation of the performance of Li-ion batteries in DC/AC operating mode for electric vehicles.Artículoinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionreponame:COLIBRIinstname:Universidad de la Repúblicainstacron:Universidad de la RepúblicaArmenta Deu, CarlosCarriquiry, Juan PedroLICENSElicense.txtlicense.txttext/plain; charset=utf-84267http://localhost:8080/xmlui/bitstream/20.500.12008/45016/5/license.txt6429389a7df7277b72b7924fdc7d47a9MD55CC-LICENSElicense_urllicense_urltext/plain; charset=utf-844http://localhost:8080/xmlui/bitstream/20.500.12008/45016/2/license_urla0ebbeafb9d2ec7cbb19d7137ebc392cMD52license_textlicense_texttext/html; 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- Universidad de la Repúblicafalse |
| spellingShingle | Simulation of the performance of Li-ion batteries in DC/AC operating mode for electric vehicles. Armenta Deu, Carlos Electric Vehicle Battery Performance Simulation Charge Discharge Time Prediction |
| status_str | publishedVersion |
| title | Simulation of the performance of Li-ion batteries in DC/AC operating mode for electric vehicles. |
| title_full | Simulation of the performance of Li-ion batteries in DC/AC operating mode for electric vehicles. |
| title_fullStr | Simulation of the performance of Li-ion batteries in DC/AC operating mode for electric vehicles. |
| title_full_unstemmed | Simulation of the performance of Li-ion batteries in DC/AC operating mode for electric vehicles. |
| title_short | Simulation of the performance of Li-ion batteries in DC/AC operating mode for electric vehicles. |
| title_sort | Simulation of the performance of Li-ion batteries in DC/AC operating mode for electric vehicles. |
| topic | Electric Vehicle Battery Performance Simulation Charge Discharge Time Prediction |
| url | https://www.opastpublishers.com/journal/journal-of-data-analytics-and-engineering-decision-making https://hdl.handle.net/20.500.12008/45016 |
