Hardware-in-the-Loop Simulation of a Hybrid Electric Vehicle Using Modelica/Dymola. Winkler, D. & Gühmann, C. In The 22nd International Battery, Hybrid and Fuel Cell Electric Vehicle Symposium & Exposition, pages 1054–1063. Japan Automobile Research Institute.
Hardware-in-the-Loop Simulation of a Hybrid Electric Vehicle Using Modelica/Dymola [link]Paper  abstract   bibtex   
In this paper the modelling of a hybrid electric vehicle using the object-oriented modelling language Modelica will be presented. The main focus shall be the real-time simulation in connection with a Hardware-in-the-Loop (HiL) test-bench system. The paper presents the main components of a hybrid electric vehicle (HEV) using the Micro Hybrid architecture. Micro Hybrids allow the use of Start/Stop operation as well as brake energy regeneration. As one example out of the complex tasks of the hybird controller a control strategy for the battery’s state of charge using a sensitivity function will be explained. To show the impact of using such a sensitivity function the results of a simulation are presented in the end.
@inproceedings{Winkler2006,
  title = {Hardware-in-the-{{Loop}} Simulation of a Hybrid Electric Vehicle Using {{Modelica}}/{{Dymola}}},
  booktitle = {The 22nd {{International Battery}}, {{Hybrid}} and {{Fuel Cell Electric Vehicle Symposium}} \& {{Exposition}}},
  author = {Winkler, Dietmar and Gühmann, Clemens},
  editor = {Secretariat, EVS 22},
  date = {2006-10-23},
  pages = {1054--1063},
  publisher = {{Japan Automobile Research Institute}},
  location = {{Yokohama, Japan}},
  url = {http://www.evs22.org},
  abstract = {In this paper the modelling of a hybrid electric vehicle using the object-oriented modelling language Modelica will be presented. The main focus shall be the real-time simulation in connection with a Hardware-in-the-Loop (HiL) test-bench system. The paper presents the main components of a hybrid electric vehicle (HEV) using the Micro Hybrid architecture. Micro Hybrids allow the use of Start/Stop operation as well as brake energy regeneration. As one example out of the complex tasks of the hybird controller a control strategy for the battery’s state of charge using a sensitivity function will be explained. To show the impact of using such a sensitivity function the results of a simulation are presented in the end.},
  keywords = {Hybrid Electric Vehicles,modelling  simulation,modelling \& simulation,power train,real-time,test-bench},
  file = {/home/dietmarw/FoU/Publications/zotero/storage/VH3B9453/Winkler_EVS22_FinalPaper.pdf}
}

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