DEVELOPMENT AND VALIDATION OF A CONSUMPTION AND EMISSIONS PREDICTION METHODOLOGY FOR LIGHT VEHICLES BASED ON THE CLUSTERING OF INSTANTANEOUS AND RESIDUAL VEHICULAR POWER

The speed with which the vehicle fleet is increasing gives the transport sector responsibility for 30% of the emissions generated by all sectors such as the industrial, food, etc., for this reason it is of great interest to quantify the impact of vehicles for assess in a better way the actions to be undertaken in order to mitigate the damage generated. This study seeks to propose a new method for predicting fuel consumption and emissions of Carbon Monoxide, Hydrocarbons and Nitrogen Oxides generated by a vehicle under normal working conditions. Method a uses the value of the instantaneous vehicle specific power and the calculation of the average of the accumulated power of the last few seconds. In this study, data was collected from forty vehicles working in an altimetry range between 0 and 4,000 m. a. s. l. , covering the coastal and inter-Andean region of Ecuador, adding 2,000 hours of measurement over a period of two years. This study makes it possible to establish a baseline of light automobile consumption in the described region and propose a method to prepare the region's emissions inventory. Although in previous studies the method of vehicle specific power, PSV, has been used to characterize the areas of engine operation with a very acceptable precision, the method proposed in this study allows the margin of error to be reduced by up to 10% for cases when the car works in conditions of higher altitude. To calculate the specific power, it is necessary to consider the forces that interact in the car's dynamics such as: aerodynamic force, rolling force, force generated by the weight and the internal force coming from the acceleration of the car, the sum of these forces allows to determine the traction force that when multiplied by the speed gives us the instantaneous traction force, in addition to this value based on a Pearson correlation analysis it was determined that the accumulated specific power of the last seconds provides a greater range of precision to predictive calculus.