Application to shift decision for construction vehicle based on multi-class classification SVM

Support Vector Machine theory was originally aimed at two types of pattern recognition problems raised. In the area of construction vehicle, a wide range of shift decision becomes more popular. In this paper, authors presented shift decision algorithm which was based on SVM binary tree multi-class classification. It distributed classifier to every node for constructing the multi-class SVM, and the undulation problem of consumed power of engine oil pump was considered when making shift strategy. Test results show that the method can optimize the gear shift position according to operation states, consequently, it can meet the needs of the automatic shift transmission for construction vehicle accurately and in time.