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Influence of Powertrain Topology and Electric Machine Design on Efficiency of Battery Electric Trucks—A Simulative Case-Study

Author

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  • Sebastian Wolff

    (Institute of Automotive Technology, Technical University of Munich, 85748 Garching b. München, Germany)

  • Svenja Kalt

    (Institute of Automotive Technology, Technical University of Munich, 85748 Garching b. München, Germany)

  • Manuel Bstieler

    (Institute of Automotive Technology, Technical University of Munich, 85748 Garching b. München, Germany)

  • Markus Lienkamp

    (Institute of Automotive Technology, Technical University of Munich, 85748 Garching b. München, Germany)

Abstract

The advancement of electric mobility as a measure to comply with international climate targets and sustain renewable resources in the future has led to an electrification of the mobility sector in recent years. This trend has not been spared in the logistics and commercial vehicle sector. Emerging electric powertrain concepts for long-haul vehicles have since been developed and adapted to different use cases and axle concepts. In this paper, the authors show the influence of the powertrain topology and the associated design of the electric machine on the efficiency and energy consumption of commercial vehicles. For this, existing series or prototype long-haul axle topologies are analyzed regarding their efficiency and operating points within four driving cycles. Additionally, a sensitivity analysis on the influence of the total gearbox ratio tests the assumed designs. We find that single-machine topologies offer efficiency advantages over multiple-machine topologies. However, this study highlights a joint consideration of application-specific machine design and topology to realize the full technological potential.

Suggested Citation

  • Sebastian Wolff & Svenja Kalt & Manuel Bstieler & Markus Lienkamp, 2021. "Influence of Powertrain Topology and Electric Machine Design on Efficiency of Battery Electric Trucks—A Simulative Case-Study," Energies, MDPI, vol. 14(2), pages 1-15, January.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:2:p:328-:d:477317
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    References listed on IDEAS

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    1. Frans J. R. Verbruggen & Emilia Silvas & Theo Hofman, 2020. "Electric Powertrain Topology Analysis and Design for Heavy-Duty Trucks," Energies, MDPI, vol. 13(10), pages 1-30, May.
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    1. Emad Roshandel & Amin Mahmoudi & Solmaz Kahourzade & Amirmehdi Yazdani & GM Shafiullah, 2021. "Losses in Efficiency Maps of Electric Vehicles: An Overview," Energies, MDPI, vol. 14(22), pages 1-27, November.
    2. Konstantina Bitsi & Sjoerd G. Bosga & Oskar Wallmark, 2022. "Design Aspects and Performance Evaluation of Pole-Phase Changing Induction Machines," Energies, MDPI, vol. 15(19), pages 1-18, September.
    3. Shantanu Pardhi & Sajib Chakraborty & Dai-Duong Tran & Mohamed El Baghdadi & Steven Wilkins & Omar Hegazy, 2022. "A Review of Fuel Cell Powertrains for Long-Haul Heavy-Duty Vehicles: Technology, Hydrogen, Energy and Thermal Management Solutions," Energies, MDPI, vol. 15(24), pages 1-55, December.
    4. Carlo Cunanan & Manh-Kien Tran & Youngwoo Lee & Shinghei Kwok & Vincent Leung & Michael Fowler, 2021. "A Review of Heavy-Duty Vehicle Powertrain Technologies: Diesel Engine Vehicles, Battery Electric Vehicles, and Hydrogen Fuel Cell Electric Vehicles," Clean Technol., MDPI, vol. 3(2), pages 1-16, June.
    5. Maximilian Zähringer & Sebastian Wolff & Jakob Schneider & Georg Balke & Markus Lienkamp, 2022. "Time vs. Capacity—The Potential of Optimal Charging Stop Strategies for Battery Electric Trucks," Energies, MDPI, vol. 15(19), pages 1-18, September.

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