Desarrollo de un algoritmo para la estimación del consumo de combustible en motores ciclo Otto mediante un dispositivo de adquisición de datos a través de OBD2

Abstract

This article is under the need of the implementation of an algorithm that allows to estimate the real consumption of a fuel in an operation through data through OBD2. With the acquisition of data, we proceed with the experimentation in the dynamometer bank that connects the flow sensor. The fuel is determined the actual consumption of the fuel, this form we obtain the data that corresponds the basis for the creation of the algorithm that estimates the consumption of fuel, through 3 different training methods are created artificial neural networks are used in the manner of producing an error of less than 4% which is the goal set for the estimation of consumption.