A Comparison of two Predictive Approaches to Control the Longitudinal Dynamics of Electric Vehicles. (2016)

• Record Type: Journal Article
• Authors: Eckstein, Julian; Peitz, Sebastian; Schäfer, Kai; Friedel, Patrick; Köhler, Ulrich; Molo, Mirko Hessel-von; Ober-Blöbaum, Sina; Dellnitz, Michael
• Is Part Of: Procedia technology. Volume 26(2016)
• Page Start: 465
• Page End: 472
• Publication Date: 2016
• Subjects: Model Predictive Control -- Automotive -- Battery Electric Vehicle -- Cruise Control; Technology -- Congresses; Technology -- Periodicals; Engineering -- Congresses; Engineering -- Periodicals; Engineering; Technology; Conference proceedings; Periodicals; 605
• DOI: 10.1016/j.protcy.2016.08.059
• Languages: English
• ISSNs: 2212-0173

Abstract

Abstract: 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.