Optimization of energy consumption by using an intelligent assistance system for an electric vehicle

Abstract

The proposed paper addresses the model based design and function validation of an assistance system to optimize the energy consumption of the longitudinal vehicles dynamics for electric vehicles. Following a well-structured, holistic approach, at first actuators of the considered vehicles are described using mathematical equations. Afterwards the development of the assistance function takes place, including detailed information about the used optimization algorithm. The optimization provides a then energy and time optimal speed profile. It is shown, that very detailed modeling results in an oscillating speed profile, which is not capable to use on a normal street. Therefore, the influence of boundary conditions on the optimization is demonstrated in the simulation results.