High Performance Electric Vehicle Powertrain Modeling, Simulation and Validation

Feyijimi Adegbohun, Annette von Jouanne, Ben Phillips, Emmanuel Agamloh and Alex Yokochi
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Feyijimi Adegbohun: Department of Electrical and Computer Engineering, Baylor University, Waco, TX 76798, USA
Annette von Jouanne: Department of Electrical and Computer Engineering, Baylor University, Waco, TX 76798, USA
Ben Phillips: Department of Mechanical Engineering, Baylor University, Waco, TX 76798, USA
Emmanuel Agamloh: Department of Electrical and Computer Engineering, Baylor University, Waco, TX 76798, USA
Alex Yokochi: Department of Mechanical Engineering, Baylor University, Waco, TX 76798, USA

Energies, 2021, vol. 14, issue 5, 1-22

Abstract: 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: electric vehicle; chassis dynamometer; drive cycle; modeling (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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