A comparison of two predictive approaches to control the longitudinal dynamics of electric vehicles

In this contribution we compare two different approaches to the implementation of a Model Predictive Controller in an electric vehicle with respect to the quality of the solution and real-time applicability. The goal is to develop an intelligent cruise control in order to extend the vehicle range, i...

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Bibliographic Details
Main Authors: Ober-Blöbaum, S, Eckstein, J, Peitz, S, Schäfer, K, Friedel, P, Köhler, U, Molo, M, Dellnitz, M
Format: Conference item
Published: Elsevier 2016
Description
Summary:In this contribution we compare two different approaches to the implementation of a Model Predictive Controller in an electric vehicle with respect to the quality of the solution and real-time applicability. The goal is to develop an intelligent cruise control in order to extend the vehicle range, i.e. to minimize energy consumption, by computing the optimal torque profile for a given track. On the one hand, a path-based linear model with strong simplifications regarding the vehicle dynamics is used. On the other hand, a nonlinear model is employed in which the dynamics of the mechanical and electrical subsystem are modeled.