An efficient way of predicting the power requirements of electric vehicles is proposed based on a history of vehicle power consumption, speed and acceleration as well as road information. By using this information and the operator's driving pattern, a model extracts the vehicles history of speed and acceleration, which in turn enables the prediction of the vehicle's future power requirements. That is, the power requirement prediction is achieved by combining a real-time power requirement model and the estimation of vehicle's acceleration and speed.