AI Summary & Key Takeaways
AI InsightFinally, the data obtained from these tests were analyzed and the alterations in the electrical and mechanical parameters of the disabled vehicle depending on the road slope were clearly demonstrated by numerical data.
📌 3 Key Takeaways
Abstract
In this study, the effect of road slope on the electrical and mechanical parameters of a disabled vehicle and regenerative braking was investigated on a 4 wheel disabled vehicle driven by a permanent magnet direct current (PMDC) motor. For this purpose, the test system, which was designed by the authors in order to test such vehicles in a laboratory environment, was developed in a way that allows the vehicle to be tested in external environments. This test system consists of a data acquisition card (DAC), related sensors, and an interface prepared in the C# program. Using the DAC, currents, voltages, speed, road slope, and temperatures were measured instantaneously during the test process and then transferred to the computer instantly. Using these data, the motor's speed, the motor's torque, the motor's shaft power, the yields of the motor and the driver, the vehicle's instantaneous speed, and the total covered distance were calculated during the experiment in real-time by the interface. At the same time, these data were graphed and saved. Tests were carried out on roads with a positive and negative slope. Finally, the data obtained from these tests were analyzed and the alterations in the electrical and mechanical parameters of the disabled vehicle depending on the road slope were clearly demonstrated by numerical data.