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<titleInfo><title>A comparison of two predictive approaches to control the longitudinal dynamics of electric vehicles</title></titleInfo>


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<name type="personal">
  <namePart type="given">Julian</namePart>
  <namePart type="family">Eckstein</namePart>
  <role><roleTerm type="text">author</roleTerm> </role></name>
<name type="personal">
  <namePart type="given">Sebastian</namePart>
  <namePart type="family">Peitz</namePart>
  <role><roleTerm type="text">author</roleTerm> </role><identifier type="local">47427</identifier><description xsi:type="identifierDefinition" type="orcid">https://orcid.org/0000-0002-3389-793X</description></name>
<name type="personal">
  <namePart type="given">Kai</namePart>
  <namePart type="family">Schäfer</namePart>
  <role><roleTerm type="text">author</roleTerm> </role></name>
<name type="personal">
  <namePart type="given">Patrick</namePart>
  <namePart type="family">Friedel</namePart>
  <role><roleTerm type="text">author</roleTerm> </role></name>
<name type="personal">
  <namePart type="given">Ulrich</namePart>
  <namePart type="family">Köhler</namePart>
  <role><roleTerm type="text">author</roleTerm> </role></name>
<name type="personal">
  <namePart type="given">Mirko </namePart>
  <namePart type="family">Hessel von Molo</namePart>
  <role><roleTerm type="text">author</roleTerm> </role></name>
<name type="personal">
  <namePart type="given">Sina</namePart>
  <namePart type="family">Ober-Blöbaum</namePart>
  <role><roleTerm type="text">author</roleTerm> </role><identifier type="local">16494</identifier></name>
<name type="personal">
  <namePart type="given">Michael</namePart>
  <namePart type="family">Dellnitz</namePart>
  <role><roleTerm type="text">author</roleTerm> </role></name>







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<abstract lang="eng">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.</abstract>

<originInfo><dateIssued encoding="w3cdtf">2016</dateIssued>
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<language><languageTerm authority="iso639-2b" type="code">eng</languageTerm>
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<relatedItem type="host"><titleInfo><title>Procedia Technology, 3rd International Conference on System-Integrated Intelligence: New Challenges for Product and Production Engineering</title></titleInfo>
  <identifier type="issn">2212-0173</identifier><identifier type="doi">10.1016/j.protcy.2016.08.059</identifier>
<part><detail type="volume"><number>26</number></detail><extent unit="pages">465-472</extent>
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<apa>Eckstein, J., Peitz, S., Schäfer, K., Friedel, P., Köhler, U., Hessel von Molo, M., Ober-Blöbaum, S., &amp;#38; Dellnitz, M. (2016). A comparison of two predictive approaches to control the longitudinal dynamics of electric vehicles. &lt;i&gt;Procedia Technology, 3rd International Conference on System-Integrated Intelligence: New Challenges for Product and Production Engineering&lt;/i&gt;, &lt;i&gt;26&lt;/i&gt;, 465–472. &lt;a href=&quot;https://doi.org/10.1016/j.protcy.2016.08.059&quot;&gt;https://doi.org/10.1016/j.protcy.2016.08.059&lt;/a&gt;</apa>
<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={&lt;a href=&quot;https://doi.org/10.1016/j.protcy.2016.08.059&quot;&gt;10.1016/j.protcy.2016.08.059&lt;/a&gt;}, 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} }</bibtex>
<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.</short>
<mla>Eckstein, Julian, et al. “A Comparison of Two Predictive Approaches to Control the Longitudinal Dynamics of Electric Vehicles.” &lt;i&gt;Procedia Technology, 3rd International Conference on System-Integrated Intelligence: New Challenges for Product and Production Engineering&lt;/i&gt;, vol. 26, 2016, pp. 465–72, doi:&lt;a href=&quot;https://doi.org/10.1016/j.protcy.2016.08.059&quot;&gt;10.1016/j.protcy.2016.08.059&lt;/a&gt;.</mla>
<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 &lt;i&gt;Procedia Technology, 3rd International Conference on System-Integrated Intelligence: New Challenges for Product and Production Engineering&lt;/i&gt;, 26:465–72, 2016. &lt;a href=&quot;https://doi.org/10.1016/j.protcy.2016.08.059&quot;&gt;https://doi.org/10.1016/j.protcy.2016.08.059&lt;/a&gt;.</chicago>
<ieee>J. Eckstein &lt;i&gt;et al.&lt;/i&gt;, “A comparison of two predictive approaches to control the longitudinal dynamics of electric vehicles,” in &lt;i&gt;Procedia Technology, 3rd International Conference on System-Integrated Intelligence: New Challenges for Product and Production Engineering&lt;/i&gt;, 2016, vol. 26, pp. 465–472, doi: &lt;a href=&quot;https://doi.org/10.1016/j.protcy.2016.08.059&quot;&gt;10.1016/j.protcy.2016.08.059&lt;/a&gt;.</ieee>
<ama>Eckstein J, Peitz S, Schäfer K, et al. A comparison of two predictive approaches to control the longitudinal dynamics of electric vehicles. In: &lt;i&gt;Procedia Technology, 3rd International Conference on System-Integrated Intelligence: New Challenges for Product and Production Engineering&lt;/i&gt;. Vol 26. ; 2016:465-472. doi:&lt;a href=&quot;https://doi.org/10.1016/j.protcy.2016.08.059&quot;&gt;10.1016/j.protcy.2016.08.059&lt;/a&gt;</ama>
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