Análisis del rendimiento de combustible y su relación con patrones de conducción en vehículos de categoría N3 a través del estudio de señales PID's obtenidas a través de OBD II en la vía troncal de la sierra (tramo sur de Quito - Boliche)

Abstract

Heavy vehicles travel daily on various roads throughout the country; however, there is no precise data indicating the amount of pollution generated by these vehicles nationwide. Most current research focuses on Ecuador's major cities, particularly Quito, Cuenca, and Guayaquil, and also centers on light vehicles. Therefore, it is crucial to conduct studies focused on the country's diverse road networks, examining both fuel consumption and the resulting environmental pollution. To develop this project, specific data samples and vehicle characteristics will be collected, allowing us to construct the present project using theoretical foundations.

Through the analysis of PID signals, conclusions were drawn regarding fuel consumption in an N3 category truck, a category primarily designed for heavy cargo transport. With this in mind, the study was conducted under two load conditions (empty and loaded), and the unsupervised K-means method was used to characterize fuel consumption as a function of gear selection. Preliminary results from the PID analysis established that, when the vehicle is empty, the optimal gear for fuel consumption is eighth. This, combined with a cruise control mode determined from the VSP calculation, indicates that the truck has excellent fuel efficiency under normal driving conditions.

Thanks to the calculation of fuel consumption L/h, it was possible to identify the areas of highest fuel demand, which are on positive slopes, which could open a new topic of research.

The current research consists of three chapters. Chapter one presents general information and theoretical foundations to help understand some of the topics necessary for the research; chapter two focuses on data collection and processing; and chapter three, the final chapter, consists of the analysis of the data obtained to draw preliminary conclusions.