Algorithm for adapting the clutch of robotic transmissions of commercial vehicles in the light commercial vehicles and light-duty trucks class

Abstract

Abstract In the modern world, the main efforts of developers of commercial vehicles are aimed at increasing the economic efficiency of using cars, reducing the negative impact on the environment and increasing the level of safety, both passive and active. The use of automatic transmissions allows the engine to work in the most optimal modes, and the driver to concentrate on monitoring the traffic situation and not be distracted by gear shifting. In commercial vehicles, robotic mechanical transmissions have become widespread. In such a transmission, the clutch and gear selection are controlled by actuators controlled by an electronic unit. Dry clutches are common in commercial vehicle transmissions. For adequate control of the clutch, it is necessary to have its high-quality model, which takes into account the coefficient of friction, touch point, the effect of temperature and many other factors. Therefore, the actual problem in the control of such transmissions is to determine the touch point of the clutch, which can serve as the main source of uncertainty in the clutch model along with the coefficient of friction. This article proposes an adaptation method for assessing the clutch touch point in real time. This approach has been applied to dry clutch control in transmissions of LCV and LDT vehicles, and the results are experimentally validated on robotic transmissions in production vehicles.