[{"department":[{"_id":"101"}],"citation":{"mla":"Eckstein, Julian, et al. “A Comparison of Two Predictive Approaches to Control the Longitudinal Dynamics of Electric Vehicles.” <i>Procedia Technology, 3rd International Conference on System-Integrated Intelligence: New Challenges for Product and Production Engineering</i>, vol. 26, 2016, pp. 465–72, doi:<a href=\"https://doi.org/10.1016/j.protcy.2016.08.059\">10.1016/j.protcy.2016.08.059</a>.","ama":"Eckstein J, Peitz S, Schäfer K, et al. A comparison of two predictive approaches to control the longitudinal dynamics of electric vehicles. In: <i>Procedia Technology, 3rd International Conference on System-Integrated Intelligence: New Challenges for Product and Production Engineering</i>. Vol 26. ; 2016:465-472. doi:<a href=\"https://doi.org/10.1016/j.protcy.2016.08.059\">10.1016/j.protcy.2016.08.059</a>","bibtex":"@inproceedings{Eckstein_Peitz_Schäfer_Friedel_Köhler_Hessel von Molo_Ober-Blöbaum_Dellnitz_2016, title={A comparison of two predictive approaches to control the longitudinal dynamics of electric vehicles}, volume={26}, DOI={<a href=\"https://doi.org/10.1016/j.protcy.2016.08.059\">10.1016/j.protcy.2016.08.059</a>}, booktitle={Procedia Technology, 3rd International Conference on System-Integrated Intelligence: New Challenges for Product and Production Engineering}, author={Eckstein, Julian and Peitz, Sebastian and Schäfer, Kai and Friedel, Patrick and Köhler, Ulrich and Hessel von Molo, Mirko  and Ober-Blöbaum, Sina and Dellnitz, Michael}, year={2016}, pages={465–472} }","apa":"Eckstein, J., Peitz, S., Schäfer, K., Friedel, P., Köhler, U., Hessel von Molo, M., Ober-Blöbaum, S., &#38; Dellnitz, M. (2016). A comparison of two predictive approaches to control the longitudinal dynamics of electric vehicles. <i>Procedia Technology, 3rd International Conference on System-Integrated Intelligence: New Challenges for Product and Production Engineering</i>, <i>26</i>, 465–472. <a href=\"https://doi.org/10.1016/j.protcy.2016.08.059\">https://doi.org/10.1016/j.protcy.2016.08.059</a>","short":"J. Eckstein, S. Peitz, K. Schäfer, P. Friedel, U. Köhler, M. Hessel von Molo, S. Ober-Blöbaum, M. Dellnitz, in: Procedia Technology, 3rd International Conference on System-Integrated Intelligence: New Challenges for Product and Production Engineering, 2016, pp. 465–472.","chicago":"Eckstein, Julian, Sebastian Peitz, Kai Schäfer, Patrick Friedel, Ulrich Köhler, Mirko  Hessel von Molo, Sina Ober-Blöbaum, and Michael Dellnitz. “A Comparison of Two Predictive Approaches to Control the Longitudinal Dynamics of Electric Vehicles.” In <i>Procedia Technology, 3rd International Conference on System-Integrated Intelligence: New Challenges for Product and Production Engineering</i>, 26:465–72, 2016. <a href=\"https://doi.org/10.1016/j.protcy.2016.08.059\">https://doi.org/10.1016/j.protcy.2016.08.059</a>.","ieee":"J. Eckstein <i>et al.</i>, “A comparison of two predictive approaches to control the longitudinal dynamics of electric vehicles,” in <i>Procedia Technology, 3rd International Conference on System-Integrated Intelligence: New Challenges for Product and Production Engineering</i>, 2016, vol. 26, pp. 465–472, doi: <a href=\"https://doi.org/10.1016/j.protcy.2016.08.059\">10.1016/j.protcy.2016.08.059</a>."},"publication_status":"published","user_id":"15694","abstract":[{"text":"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.","lang":"eng"}],"doi":"10.1016/j.protcy.2016.08.059","intvolume":"        26","title":"A comparison of two predictive approaches to control the longitudinal dynamics of electric vehicles","author":[{"first_name":"Julian","full_name":"Eckstein, Julian","last_name":"Eckstein"},{"full_name":"Peitz, Sebastian","first_name":"Sebastian","id":"47427","last_name":"Peitz","orcid":"https://orcid.org/0000-0002-3389-793X"},{"last_name":"Schäfer","first_name":"Kai","full_name":"Schäfer, Kai"},{"last_name":"Friedel","first_name":"Patrick","full_name":"Friedel, Patrick"},{"last_name":"Köhler","first_name":"Ulrich","full_name":"Köhler, Ulrich"},{"last_name":"Hessel von Molo","first_name":"Mirko ","full_name":"Hessel von Molo, Mirko "},{"first_name":"Sina","full_name":"Ober-Blöbaum, Sina","id":"16494","last_name":"Ober-Blöbaum"},{"last_name":"Dellnitz","first_name":"Michael","full_name":"Dellnitz, Michael"}],"date_updated":"2022-01-21T14:10:10Z","_id":"8758","page":"465-472","volume":26,"language":[{"iso":"eng"}],"year":"2016","type":"conference","publication_identifier":{"issn":["2212-0173"]},"status":"public","date_created":"2019-03-29T13:35:25Z","publication":"Procedia Technology, 3rd International Conference on System-Integrated Intelligence: New Challenges for Product and Production Engineering"}]