Desarrollo de un ciclo de conducción bajo condiciones reales en el área metropolitana de Bucaramanga
Este estudio presenta el ciclo de conducción construido en el área metropolitana de Bucaramanga. Para construir el ciclo de conducción se utilizó una base de datos de velocidad, RPM y consumo de combustible, se obtuvo monitoreando segundo a segundo la operación de 10 vehículos ligeros en condiciones...
- Autores:
-
Navarro Quintero, Silvia Juliana
García Jaimes, Ricardo Andrés
- Tipo de recurso:
- Trabajo de grado de pregrado
- Fecha de publicación:
- 2021
- Institución:
- Universidad Autónoma de Bucaramanga - UNAB
- Repositorio:
- Repositorio UNAB
- Idioma:
- spa
- OAI Identifier:
- oai:repository.unab.edu.co:20.500.12749/15102
- Acceso en línea:
- http://hdl.handle.net/20.500.12749/15102
- Palabra clave:
- Mechatronic
Driving cycle
Fuel consumption
Speed data
Automotive fleet
Driving
Automobiles
Road safety
Monitoring
Mecatrónica
Conducción
Automóviles
Seguridad vial
Monitoreo
Ciclo de conducción
Consumo de combustible
Datos de velocidad
Parque automotor
- Rights
- License
- http://creativecommons.org/licenses/by-nc-nd/2.5/co/
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|
dc.title.spa.fl_str_mv |
Desarrollo de un ciclo de conducción bajo condiciones reales en el área metropolitana de Bucaramanga |
dc.title.translated.spa.fl_str_mv |
Development of a driving cycle under real conditions in the metropolitan area of Bucaramanga |
title |
Desarrollo de un ciclo de conducción bajo condiciones reales en el área metropolitana de Bucaramanga |
spellingShingle |
Desarrollo de un ciclo de conducción bajo condiciones reales en el área metropolitana de Bucaramanga Mechatronic Driving cycle Fuel consumption Speed data Automotive fleet Driving Automobiles Road safety Monitoring Mecatrónica Conducción Automóviles Seguridad vial Monitoreo Ciclo de conducción Consumo de combustible Datos de velocidad Parque automotor |
title_short |
Desarrollo de un ciclo de conducción bajo condiciones reales en el área metropolitana de Bucaramanga |
title_full |
Desarrollo de un ciclo de conducción bajo condiciones reales en el área metropolitana de Bucaramanga |
title_fullStr |
Desarrollo de un ciclo de conducción bajo condiciones reales en el área metropolitana de Bucaramanga |
title_full_unstemmed |
Desarrollo de un ciclo de conducción bajo condiciones reales en el área metropolitana de Bucaramanga |
title_sort |
Desarrollo de un ciclo de conducción bajo condiciones reales en el área metropolitana de Bucaramanga |
dc.creator.fl_str_mv |
Navarro Quintero, Silvia Juliana García Jaimes, Ricardo Andrés |
dc.contributor.advisor.none.fl_str_mv |
Huertas Cardozo, José Ignacio Maradey Lázaro, Jessica Gissella |
dc.contributor.author.none.fl_str_mv |
Navarro Quintero, Silvia Juliana García Jaimes, Ricardo Andrés |
dc.contributor.cvlac.spa.fl_str_mv |
Maradey Lázaro, Jessica Gissella [0000040553] Huertas Cardozo, José Ignacio [0000057398] |
dc.contributor.googlescholar.spa.fl_str_mv |
Huertas Cardozo, José Ignacio [es&oi=ao] |
dc.contributor.orcid.spa.fl_str_mv |
Maradey Lázaro, Jessica Gissella [0000-0003-2319-1965] Huertas Cardozo, José Ignacio [0000-0003-4508-6453] |
dc.contributor.researchgate.spa.fl_str_mv |
Maradey Lázaro, Jessica Gissella [profile/Jessica-Maradey-Lazaro] |
dc.subject.keywords.spa.fl_str_mv |
Mechatronic Driving cycle Fuel consumption Speed data Automotive fleet Driving Automobiles Road safety Monitoring |
topic |
Mechatronic Driving cycle Fuel consumption Speed data Automotive fleet Driving Automobiles Road safety Monitoring Mecatrónica Conducción Automóviles Seguridad vial Monitoreo Ciclo de conducción Consumo de combustible Datos de velocidad Parque automotor |
dc.subject.lemb.spa.fl_str_mv |
Mecatrónica Conducción Automóviles Seguridad vial Monitoreo |
dc.subject.proposal.spa.fl_str_mv |
Ciclo de conducción Consumo de combustible Datos de velocidad Parque automotor |
description |
Este estudio presenta el ciclo de conducción construido en el área metropolitana de Bucaramanga. Para construir el ciclo de conducción se utilizó una base de datos de velocidad, RPM y consumo de combustible, se obtuvo monitoreando segundo a segundo la operación de 10 vehículos ligeros en condiciones reales en las ciudades de Bucaramanga, Floridablanca, Girón y Piedecuesta durante siete meses. Los datos de velocidad con respecto al tiempo de la base de datos definen el patrón de conducción en el área metropolitana de Bucaramanga, se definieron 18 parámetros característicos que describen variables de velocidad, aceleración, modos de operación, dinámicas y consumo de combustible. Para observar las tendencias de los resultados se repitió el proceso 1000 veces y se obtuvieron la diferencia relativa promedio (ARD) y el rango intercuartílico (IQR) de las diferencias para cada parámetro característico. El método usado fue Micro viajes – basado en combustible (Microtrips Fuel Based Method- MTFBM), donde los criterios de evaluación son el consumo específico de combustible (SFC), la velocidad promedio y el porcentaje de tiempo en ralentí. Se obtuvieron 3072 micro viajes de los 222 viajes registrados en la base de datos. |
publishDate |
2021 |
dc.date.accessioned.none.fl_str_mv |
2021-12-06T13:50:40Z |
dc.date.available.none.fl_str_mv |
2021-12-06T13:50:40Z |
dc.date.issued.none.fl_str_mv |
2021 |
dc.type.driver.none.fl_str_mv |
info:eu-repo/semantics/bachelorThesis |
dc.type.local.spa.fl_str_mv |
Trabajo de Grado |
dc.type.coar.none.fl_str_mv |
http://purl.org/coar/resource_type/c_7a1f |
dc.type.redcol.none.fl_str_mv |
http://purl.org/redcol/resource_type/TP |
format |
http://purl.org/coar/resource_type/c_7a1f |
dc.identifier.uri.none.fl_str_mv |
http://hdl.handle.net/20.500.12749/15102 |
dc.identifier.instname.spa.fl_str_mv |
instname:Universidad Autónoma de Bucaramanga - UNAB |
dc.identifier.reponame.spa.fl_str_mv |
reponame:Repositorio Institucional UNAB |
dc.identifier.repourl.spa.fl_str_mv |
repourl:https://repository.unab.edu.co |
url |
http://hdl.handle.net/20.500.12749/15102 |
identifier_str_mv |
instname:Universidad Autónoma de Bucaramanga - UNAB reponame:Repositorio Institucional UNAB repourl:https://repository.unab.edu.co |
dc.language.iso.spa.fl_str_mv |
spa |
language |
spa |
dc.relation.references.spa.fl_str_mv |
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Recuperado de: http://hdl.handle.net/20.500.12749/7051 [66] Velleman, P.F., and D.C. Hoaglin. Applications, Basics, and Computing of Exploratory Data Analysis. Pacific Grove, CA: Duxbury Press, 1981 [67] Quinde Medina, D. D. (2020). Estimación de emisiones de CO2 en taxis con cilindrada de 1400cc bajo parámetros de conducción normal en la ciudad de Cuenca, utilizando el modelo IVE (Master's thesis, Universidad del Azuay). [68] Nouri, P., & Morency, C. (2017). Evaluating microtrip definitions for developing driving cycles. Transportation Research Record, 2627(1), 86-92 |
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Huertas Cardozo, José IgnacioMaradey Lázaro, Jessica GissellaNavarro Quintero, Silvia JulianaGarcía Jaimes, Ricardo AndrésMaradey Lázaro, Jessica Gissella [0000040553]Huertas Cardozo, José Ignacio [0000057398]Huertas Cardozo, José Ignacio [es&oi=ao]Maradey Lázaro, Jessica Gissella [0000-0003-2319-1965]Huertas Cardozo, José Ignacio [0000-0003-4508-6453]Maradey Lázaro, Jessica Gissella [profile/Jessica-Maradey-Lazaro]Colombia2021-12-06T13:50:40Z2021-12-06T13:50:40Z2021http://hdl.handle.net/20.500.12749/15102instname:Universidad Autónoma de Bucaramanga - UNABreponame:Repositorio Institucional UNABrepourl:https://repository.unab.edu.coEste estudio presenta el ciclo de conducción construido en el área metropolitana de Bucaramanga. Para construir el ciclo de conducción se utilizó una base de datos de velocidad, RPM y consumo de combustible, se obtuvo monitoreando segundo a segundo la operación de 10 vehículos ligeros en condiciones reales en las ciudades de Bucaramanga, Floridablanca, Girón y Piedecuesta durante siete meses. Los datos de velocidad con respecto al tiempo de la base de datos definen el patrón de conducción en el área metropolitana de Bucaramanga, se definieron 18 parámetros característicos que describen variables de velocidad, aceleración, modos de operación, dinámicas y consumo de combustible. Para observar las tendencias de los resultados se repitió el proceso 1000 veces y se obtuvieron la diferencia relativa promedio (ARD) y el rango intercuartílico (IQR) de las diferencias para cada parámetro característico. El método usado fue Micro viajes – basado en combustible (Microtrips Fuel Based Method- MTFBM), donde los criterios de evaluación son el consumo específico de combustible (SFC), la velocidad promedio y el porcentaje de tiempo en ralentí. Se obtuvieron 3072 micro viajes de los 222 viajes registrados en la base de datos.1. INTRODUCCIÓN .............................................................................................. 9 2. ESTADO DEL ARTE ....................................................................................... 12 3. MARCO TEÓRICO .......................................................................................... 18 3.1. CICLO DE CONDUCCIÓN .......................................................................... 18 3.2. PATRÓN DE CONDUCCIÓN ....................................................................... 19 3.3. TIPOS DE CICLOS DE CONDUCCIÓN ...................................................... 19 3.4. TÉCNICAS PARA LA ADQUISICIÓN DE DATOS ....................................... 20 3.5. METODOLOGÍAS PARA EL DESARROLLO DE CICLOS DE CONDUCCIÓN 20 4. OBJETIVOS .................................................................................................... 24 4.2. OBJETIVOS ESPECÍFICOS ........................................................................... 24 5. METODOLOGÍA Y DESARROLLO ................................................................. 25 5.1. VEHÍCULOS ................................................................................................ 25 5.2. REGIÓN DE ESTUDIO ................................................................................ 26 5.3. INSTRUMENTACIÓN .................................................................................. 27 5.4. TOMA DE DATOS ....................................................................................... 28 5.5. PARÁMETROS CARACTERÍSTICOS ......................................................... 31 5.6. BASE DE DATOS ........................................................................................ 39 5.7. CONSTRUCCIÓN DEL CICLO .................................................................... 46 6. RESULTADOS OBTENIDOS .......................................................................... 51 6.1. CICLO DE CONDUCCIÓN .......................................................................... 51 6.2. PARÁMETROS CARACTERÍSTICOS – DIFERENCIAS RELATIVAS. ....... 52 6.3. GRÁFICAS SAPD Y VSP ............................................................................... 55 6.3.1. SAPD ........................................................................................................... 55 6.3.2. VSP .............................................................................................................. 58 6.4. COMPARACIÓN .......................................................................................... 60 6.4.1. COMPARACIÓN DE PARÁMETROS CARACTERÍSTICOS .................... 60 6.4.2. COMPARACIÓN SAPD/SAFD ................................................................. 62 6.5. INTERFAZ PARA VISUALIZAR RESULTADOS. ......................................... 63 7. CONCLUSIONES ............................................................................................ 70 8. RECOMENDACIONES ................................................................................... 71 9. TRABAJO FUTURO ........................................................................................ 72 10. REFERENCIAS ............................................................................................ 72 11. ANEXOS ...................................................................................................... 79 ANEXO 1. CÓDIGO MATLAB ................................................................................ 79 9.2. BASE DE DATOS ........................................................................................... 94 9.3. ARTÍCULO CIENTÍFICO ................................................................................ 94PregradoThis study presents the driving cycle built in the metropolitan area of Bucaramanga. To build the driving cycle, speed, RPM and fuel consumption database was used, it was obtained by monitoring second by second the operation of 10 light vehicles in real conditions in the cities of Bucaramanga, Floridablanca, Girón and Piedecuesta for seven months. The speed data with respect to time from the database define the driving pattern in the metropolitan area of Bucaramanga, 18 characteristic parameters were defined that describe variables of speed, acceleration, operating modes, dynamics, and fuel consumption. To observe the trends of the results, the process was repeated 1000 times and the average relative difference (ARD) and the interquartile range (IQR) of the differences for each characteristic parameter were obtained. Fuel Based Method- MTFBM), where the evaluation criteria are the specific fuel consumption (SFC), the average speed and the percentage of time at idle. 3072 micro trips were obtained from the 222 trips registered in the database.application/pdfspahttp://creativecommons.org/licenses/by-nc-nd/2.5/co/Abierto (Texto Completo)Atribución-NoComercial-SinDerivadas 2.5 Colombiahttp://purl.org/coar/access_right/c_abf2Desarrollo de un ciclo de conducción bajo condiciones reales en el área metropolitana de BucaramangaDevelopment of a driving cycle under real conditions in the metropolitan area of BucaramangaIngeniero MecatrónicoUniversidad Autónoma de Bucaramanga UNABFacultad IngenieríaPregrado Ingeniería Mecatrónicainfo:eu-repo/semantics/bachelorThesisTrabajo de Gradohttp://purl.org/coar/resource_type/c_7a1fhttp://purl.org/redcol/resource_type/TPMechatronicDriving cycleFuel consumptionSpeed dataAutomotive fleetDrivingAutomobilesRoad safetyMonitoringMecatrónicaConducciónAutomóvilesSeguridad vialMonitoreoCiclo de conducciónConsumo de combustibleDatos de velocidadParque automotor[1]. 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Transportation Research Record, 2627(1), 86-92ORIGINAL2021_Tesis_Silvia_Juliana_Navarro_Quintero.pdf2021_Tesis_Silvia_Juliana_Navarro_Quintero.pdfTesisapplication/pdf4080463https://repository.unab.edu.co/bitstream/20.500.12749/15102/1/2021_Tesis_Silvia_Juliana_Navarro_Quintero.pdfc9ae2da92df35775bd4d51f99589942aMD51open access2021_Licencia_Silvia_Juliana_Navarro_Quintero.pdf2021_Licencia_Silvia_Juliana_Navarro_Quintero.pdfLicenciaapplication/pdf192710https://repository.unab.edu.co/bitstream/20.500.12749/15102/2/2021_Licencia_Silvia_Juliana_Navarro_Quintero.pdf8608098a80bf0e7dd8a334fa767aa61cMD52metadata only accessLICENSElicense.txtlicense.txttext/plain; charset=utf-8829https://repository.unab.edu.co/bitstream/20.500.12749/15102/3/license.txt3755c0cfdb77e29f2b9125d7a45dd316MD53open accessTHUMBNAIL2021_Tesis_Silvia_Juliana_Navarro_Quintero.pdf.jpg2021_Tesis_Silvia_Juliana_Navarro_Quintero.pdf.jpgIM Thumbnailimage/jpeg4261https://repository.unab.edu.co/bitstream/20.500.12749/15102/4/2021_Tesis_Silvia_Juliana_Navarro_Quintero.pdf.jpg5e123c65f4259d96ba28826941417ae1MD54open access2021_Licencia_Silvia_Juliana_Navarro_Quintero.pdf.jpg2021_Licencia_Silvia_Juliana_Navarro_Quintero.pdf.jpgIM Thumbnailimage/jpeg9758https://repository.unab.edu.co/bitstream/20.500.12749/15102/5/2021_Licencia_Silvia_Juliana_Navarro_Quintero.pdf.jpgc10d99ebc562a1a796c0282231256026MD55metadata only access20.500.12749/15102oai:repository.unab.edu.co:20.500.12749/151022021-12-06 18:02:11.454open accessRepositorio Institucional | Universidad Autónoma de Bucaramanga - UNABrepositorio@unab.edu.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 |