Electric Vehicle Inverter Electro-Thermal Models Oriented to Simulation Speed and Accuracy Multi-Objective Targets

June Urkizu, Mikel Mazuela, Argiñe Alacano, Iosu Aizpuru, Sajib Chakraborty, Omar Hegazy, Marco Vetten and Roberto Klink
Additional contact information
June Urkizu: Electronics and Computer Science Department, Mondragon Goi Eskola Politeknikoa S.Coop, Loramendi 4, Arrasate Mondragon 20500 Gipuzkoa, Spain
Mikel Mazuela: Electronics and Computer Science Department, Mondragon Goi Eskola Politeknikoa S.Coop, Loramendi 4, Arrasate Mondragon 20500 Gipuzkoa, Spain
Argiñe Alacano: Electronics and Computer Science Department, Mondragon Goi Eskola Politeknikoa S.Coop, Loramendi 4, Arrasate Mondragon 20500 Gipuzkoa, Spain
Iosu Aizpuru: Electronics and Computer Science Department, Mondragon Goi Eskola Politeknikoa S.Coop, Loramendi 4, Arrasate Mondragon 20500 Gipuzkoa, Spain
Sajib Chakraborty: ETEC Department & MOBI Research Group, Vrije Universiteit Brussel (VUB), Pleinlaan 2, 1050 Brussels, Belgium
Omar Hegazy: ETEC Department & MOBI Research Group, Vrije Universiteit Brussel (VUB), Pleinlaan 2, 1050 Brussels, Belgium
Marco Vetten: DENSO AUTOMOTIVE Deutschland GmbH, 85386 Eching, Germany
Roberto Klink: DENSO AUTOMOTIVE Deutschland GmbH, 85386 Eching, Germany

Energies, 2019, vol. 12, issue 19, 1-29

Abstract: With the increasing demand for electric vehicles, the requirements of the market are changing ever faster. Therefore, there is a need to improve the electric car’s design time, where simulations could be an appropriate tool for this task. In this paper, the modeling and simulation of an inverter for an electric vehicle are presented. Four different modeling approaches are proposed, depending on the required simulation speed and accuracy in each case. In addition, these models can provide up to 150 different electric modeling and three different thermal modeling variants. Therefore, in total, there were 450 different electrical and thermal variants. These variants are easily selectable and usable and offer different options to calculate the electrical parameters of the inverter. Finally, the speed and accuracy of the different models were compared and the obtained results presented.

Keywords: electric vehicle; hybrid electric vehicle; inverter modeling; thermal modeling; power electronics; modulation techniques; semiconductor power losses (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: 2019
References: View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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