Road Roughness Identification and Shift Control Study for a Heavy-duty Powertrain

The road condition of heavy-duty vehicles is generally complex, which includes rugged and bumpy terrain etc. The undesired shifting phenomenon occurs easily. Thus, the fuel consumption and pollution increase and the vehicles' dynamic driving performance decline significantly. In this paper, an intelligent shift control method based on the identification of road roughness level is developed. The road roughness level is reflected by engine speed change rate signal. Then, the shift control model is built to modify the shift points. The method is validated by the simulation and test data. The results prove that the methods are validity and feasibility.