Predicting journey parameters for the intelligent control of a hybrid electric vehicle

The results from an ongoing project whose aim is to design an intelligent controller for hybrid electric vehicles is presented. Such a controller would be required to manage energy flow through the hybrid drive train and for optimum control would require a number of parameters normally available only upon journey completion. This paper presents work to attempt to predict journey distance and duration upon journey departure using data from a single vehicle in daily use, and a clustering method for generation of rules in a fuzzy inference system