Development of software for performance analysis of wheeled tractors

Abstract

Understanding the relationship between the parameters that influence the traction capacity and fuel consumption of tractors is important for optimizing the performance of these machines. Mathematical simulations can be implemented in computer programs as an alternative to conducting numerous experimental tests under laboratory and field conditions, thereby reducing analysis, development time, and costs. Therefore, this study developed and validated a software tool to evaluate the performance of wheeled tractors in terms of traction capacity and fuel consumption. Mathematical models and a graphical user interface were implemented using Python. Field tests were conducted using an agricultural tractor to validate the software. Subsequently, simulations were performed for the same scenarios tested in the field, and the results were compared using statistical tests. The analyzed variables agreed closely in the experimental and simulated results. For front- and rear-wheel slips, the average absolute error was less than 2.50-point percent. Among the variables analysed, the best adjustment condition between the simulated and experimental results was verified for the engine angular velocity. In this case, the coefficient of determination was 0.96. For fuel consumption, the average absolute error was less than 0.75 L h⁻¹. The software successfully identified the operating conditions that optimized fuel efficiency.