Article | Proceedings of the 13th International Modelica Conference, Regensburg, Germany, March 4–6, 2019 | Modelica-Based Modeling and Application Framework on the Hybrid Electric Vehicles Linköping University Electronic Press Conference Proceedings
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Title:
Modelica-Based Modeling and Application Framework on the Hybrid Electric Vehicles
Author:
Yuhui Liu: School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, China Liping Chen: School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, China Yan Zhao: Suzhou Tongyuan Software & Control Technology Co., Ltd. Suzhou, China Shanshan Liu: Jianghuai Automobile Co., Ltd., Hefei, China Fanli Zhou: Suzhou Tongyuan Software & Control Technology Co., Ltd. Suzhou, China Duansen Shangguan: School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, China
DOI:
10.3384/ecp19157827
Download:
Full text (pdf)
Year:
2019
Conference:
Proceedings of the 13th International Modelica Conference, Regensburg, Germany, March 4–6, 2019
Issue:
157
Article no.:
087
Pages:
6
No. of pages:
827-832
Publication type:
Abstract and Fulltext
Published:
2019-02-01
ISBN:
978-91-7685-122-7
Series:
Linköping Electronic Conference Proceedings
ISSN (print):
1650-3686
ISSN (online):
1650-3740
Publisher:
Linköping University Electronic Press, Linköpings universitet


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In order to meet low-emissions criteria outlined in Chinese regulations, which require a progressively increasing percentage of automobiles to be ultralow or zero emissions, in this paper a sort of light hybrid electric drivetrain is studied and modeled in detail using Modelica. An application framework is also designed to improve the usability and the efficiency of the models. Performance of the whole vehicle and some key components are analyzed.. Comparison between simulation results and experiment results is performed, which validates the effectiveness of the models. Based on the comparison, we conclude that, the methods presented in this paper can support a rapid design of hybrid electric vehicles and further optimization.

Keywords: hybrid electric vehicles, Modelica, MWorks, application framework, signal bus

Proceedings of the 13th International Modelica Conference, Regensburg, Germany, March 4–6, 2019

Author:
Yuhui Liu, Liping Chen, Yan Zhao, Shanshan Liu, Fanli Zhou, Duansen Shangguan
Title:
Modelica-Based Modeling and Application Framework on the Hybrid Electric Vehicles
DOI:
http://dx.doi.org/10.3384/ecp19157827
References:
No references available

Proceedings of the 13th International Modelica Conference, Regensburg, Germany, March 4–6, 2019

Author:
Yuhui Liu, Liping Chen, Yan Zhao, Shanshan Liu, Fanli Zhou, Duansen Shangguan
Title:
Modelica-Based Modeling and Application Framework on the Hybrid Electric Vehicles
DOI:
https://doi.org10.3384/ecp19157827
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Last updated: 2019-06-04