Design of a Fuzzy Driving Cycle Identification Unit for Intelligent Control Strategy of Hybrid Vehicles

Design of a suitable Control Strategy for operating a hybrid propulsion system in different types of roads and driving cycles is one of the most challenging subjects in hybrid vehicle research areas. Intelligent Control Strategies have been designed to meet the above requirement. The control signals in an intelligent control strategy of the hybrid vehicles are generated according to the driving cycle type. This is done by using a driving cycle identification unit. In this paper, design of a fuzzy based driving cycle identifier has been presented. The main idea in this unit is that any arbitrary driving cycle is similar to a group of standard driving cycles according to some degrees of similarity. As a result, the control strategy of the hybrid powertrain in the arbitrary driving cycle is affected by the optimized control strategy of the standard diving cycle based on the degree of similarity. Here, the subset of sufficient features is determined by using the floating search method as a useful feature selection algorithm. Also, the fuzzy clustering method is used to generate the values of similarity degrees to each standard driving cycle. Finally, the performance of the fuzzy driving cycle identification unit is assessed.