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

Author

Listed:
  • 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)

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.

Suggested Citation

  • June Urkizu & Mikel Mazuela & Argiñe Alacano & Iosu Aizpuru & Sajib Chakraborty & Omar Hegazy & Marco Vetten & Roberto Klink, 2019. "Electric Vehicle Inverter Electro-Thermal Models Oriented to Simulation Speed and Accuracy Multi-Objective Targets," Energies, MDPI, vol. 12(19), pages 1-29, September.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:19:p:3608-:d:269406
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    Citations

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    Cited by:

    1. Christodoulos Katis & Athanasios Karlis, 2023. "Evolution of Equipment in Electromobility and Autonomous Driving Regarding Safety Issues," Energies, MDPI, vol. 16(3), pages 1-34, January.
    2. Sid-Ali Amamra & Yashraj Tripathy & Anup Barai & Andrew D. Moore & James Marco, 2020. "Electric Vehicle Battery Performance Investigation Based on Real World Current Harmonics," Energies, MDPI, vol. 13(2), pages 1-13, January.

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