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

Sebastian Wolff, Svenja Kalt, Manuel Bstieler and Markus Lienkamp
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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

Energies, 2021, vol. 14, issue 2, 1-15

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.

Keywords: battery electric; heavy-duty trucks; electric machines; powertrain design; topology; efficiency (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 references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

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