Predictive Cruise Control for energy saving in REEV using V2I information

Abstract

This paper proposes a Predictive Cruise Control for a Range Extended Electric Vehicle that uses the information of upcoming traffic lights to arrive at a green or to reduce idling at a red light. Simultaneously, it is decided in a predictive manner, which is the best energy management strategy to operate the vehicle's powertrain. The main goals are to reduce fuel consumption and to increase energy efficiency. The control algorithm is formulated based on Model Predictive Control theory, which also allows the controller to operate in the absence of traffic light information as an Adaptive Cruise Control with predictive energy management. The controller tracks an optimal velocity trajectory, computed based on current traffic light's timing, and decides how much energy must be provided from the battery and from the generator. The simulation results show a significant reduction in fuel and energy consumption.