CONSIDERACIONES GENERALES PARA EL DISEÑO DE UN BANCO DE LABORATORIO PARA EVALUAR EL DESEMPEÑO DE UN MOTOR DE COMBUSTIÓN INTERNA (GENERAL CONSIDERATIONS FOR THE DESIGN OF A LABORATORY BENCH TO EVALUATE THE PERFORMANCE OF AN INTERNAL COMBUSTION ENGINE)
Resumen
Instrumentar una plataforma de pruebas que permita monitorear y manipular parámetros operativos de un motor de combustión interna (MCI) de 4 cilindros (VW-1600), requiere de una serie de pasos que incluyen el conocer el funcionamiento del motor al trabajar con una mezcla de gasolina-hidrógeno, la selección de sensores requeridos, el sistema de adquisición de datos, el software que se usará para la programación, así como la comprobación de la estructura entre los mismos.
Palabras Clave: Motor de combustión interna, monitoreo, plataforma de pruebas.
Abstract
To instrument a test platform that allows monitoring and manipulating operating parameters of a four cylinder internal combustion engine (MCI) requires a series of steps that includes to know the operation of the engine when working with a mixture of gasoline- Hydrogen, the selection of sensors, the data acquisition system, the software to be used for programming, as well as the structure of communication between them.
Keywords: internal combustion engine, monitoring, testing platform.
Texto completo:
371-378 PDFReferencias
Andria, G., Attivissimo, F., Di Nisio, A., Lanzolla, A. M. L., & Pellegrino, A. (2016). Development of an automotive data acquisition platform for analysis of driving behavior. Measurement, 93, 278-287.
Andria, G., Attivissimo, F., Di Nisio, A., Lanzolla, A. M. L., & Pellegrino, A. (2015). Design and implementation of automotive data acquisition platform. In 2015 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Proceedings, 272-277.
Pei, P., Ouyang, M., Lu, Q., Huang, H., & Li, X. (2004). Testing of an automotive fuel cell system. International journal of hydrogen energy, 29, 1001-1007.
Wu, J. D., & Kuo, J. M. (2009). An automotive generator fault diagnosis system using discrete wavelet transform and artificial neural network. Expert Systems with Applications, 36, 9776-9783.
Fleming, W. J. (2001). Overview of automotive sensors. IEEE sensors journal, 4, 296-308.
Serafini, L., Carrai, F., Ramacciotti, T., & Zolesi, V. (2006). Multi-sensor configurable platform for automotive applications. In Proceedings of the Design Automation & Test in Europe Conference , 2,1-2.
Fritz, A., Payer, J., Fuchs, A., & Lieschnegg, M. (2014). Reliable noise and vibration data acquisition and processing for automotive applications. 2014 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Proceedings, 590-594.
Axelsson, J., Kobetski, A., Ni, Z., Zhang, S., & Johansson, E. (2014). Moped: A mobile open platform for experimental design of cyber-physical systems. 2014 40th EUROMICRO Conference on Software Engineering and Advanced Applications, 423-430.
Checkoway, S., McCoy, D., Kantor, B., Anderson, D., Shacham, H., Savage, S., ... & Kohno, T. (2011). Comprehensive experimental analyses of automotive attack surfaces. In USENIX Security Symposium, 4, 447-462.
Zavala, C., Sanketi, P., Lamberson, D., Girard, A. R., & Hedrick, J. K. (2004). Model-based real-time embedded control software for automotive torque management. In proceedings of Real-Time and Embedded Technology and Applications Symposium (RTAS).
URL de la licencia: https://creativecommons.org/licenses/by/3.0/deed.es
Pistas Educativas está bajo la Licencia Creative Commons Atribución 3.0 No portada. 
TECNOLÓGICO NACIONAL DE MÉXICO / INSTITUTO TECNOLÓGICO DE CELAYA
Antonio García Cubas Pte #600 esq. Av. Tecnológico, Celaya, Gto. México
Tel. 461 61 17575 Ext 5450 y 5146
pistaseducativas@itcelaya.edu.mx