GPRS based driving cycle self-learning for electric vehicle

A methodology to collect the driving cycle data remotely based on GPRS was presented and applied to a running electric vehicle to build a driving cycle database for road test. The self-organizing map(SOM) network was introduced into self-learning of driving cycle, so the cluster analysis was performed to classify kinematic sequence of original data. Based on the classification of kinematic sequence, three types of typical driving cycles of electric vehicle road test were constructed and provided foundation for self-adapt optimal control strategy for electric vehicle. Compared with other driving cycles, the constructed driving cycles have common regularity, which shows that self-learning of driving cycle is perfectly realized by the application of SOM network.