Abstract
Abstract
This article presents analysis and an attempt to forecast the actual fuel consumption of the vehicle in the urban cycle. The most important factors affecting fuel consumption were discussed, in particular the influence of the driver’s driving style. Each driver drove a designated, the same route in the urban area outside the rush hour. Based on the readings from the OBD on-board computer and the mobile application, the driver’s occurrence points on the universal engine characteristics were read. On the axes of torque and rotational speed, the most frequently occurring engine work fields for each driver were determined. The author divided the driving styles of the driver according to the most common occurrence on the universal characteristics of the engine and depending on the specific fuel consumption. The author’s method has shown that it is possible to point out drivers who will certainly exceed the average fuel consumption after driving a few kilometers of the road. This method shows the possibility of using the on-board computer and OBD readings to optimize fuel consumption and match each driving style to the appropriate external and universal characteristics of the vehicle engine to use as little fuel as possible, and thus contribute to reducing CO2 emissions to the environment and consumption of fossil fuels. This method can be successfully used on all vehicles with an internal combustion engine.