LAPSE:2023.30155
Published Article
LAPSE:2023.30155
High Performance Electric Vehicle Powertrain Modeling, Simulation and Validation
Feyijimi Adegbohun, Annette von Jouanne, Ben Phillips, Emmanuel Agamloh, Alex Yokochi
April 14, 2023
Accurate electric vehicle (EV) powertrain modeling, simulation and validation is paramount for critical design and control decisions in high performance vehicle designs. Described in this paper is a methodology for the design and development of EV powertrain through modeling, simulation and validation on a real-world vehicle system with detailed analysis of the results. Although simulation of EV powertrains in software simulation environments plays a significant role in the design and development of EVs, validating these models on the real-world vehicle systems plays an equally important role in improving the overall vehicle reliability, safety and performance. This modeling approach leverages the use of MATLAB/Simulink software for the modeling and simulation of an EV powertrain, augmented by simultaneously validating the modeling results on a real-world vehicle which is performance tested on a chassis dynamometer. The combination of these modeling techniques and real-world validation demonstrates a methodology for a cost effective means of rapidly developing and validating high performance EV powertrains, filling the literature gaps in how these modeling methodologies can be carried out in a research framework.
Keywords
chassis dynamometer, drive cycle, electric vehicle, Modelling
Suggested Citation
Adegbohun F, von Jouanne A, Phillips B, Agamloh E, Yokochi A. High Performance Electric Vehicle Powertrain Modeling, Simulation and Validation. (2023). LAPSE:2023.30155
Author Affiliations
Adegbohun F: Department of Electrical and Computer Engineering, Baylor University, Waco, TX 76798, USA
von Jouanne A: Department of Electrical and Computer Engineering, Baylor University, Waco, TX 76798, USA
Phillips B: Department of Mechanical Engineering, Baylor University, Waco, TX 76798, USA
Agamloh E: Department of Electrical and Computer Engineering, Baylor University, Waco, TX 76798, USA
Yokochi A: Department of Mechanical Engineering, Baylor University, Waco, TX 76798, USA [ORCID]
Journal Name
Energies
Volume
14
Issue
5
First Page
1493
Year
2021
Publication Date
2021-03-09
Published Version
ISSN
1996-1073
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Original Submission
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PII: en14051493, Publication Type: Journal Article
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LAPSE:2023.30155
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doi:10.3390/en14051493
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Apr 14, 2023
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CC BY 4.0
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