Latest revision as of 03:10, 2 February 2021

Abstract

Increasing environmental awareness leads to the necessity for more efficient powertrains in the future. However, the development of new vehicle concepts generates a trend towards ever shorter development cycles. Therefore, new concepts must be tested and validated at an early stage in order to meet the increasing time pressure. This requires the determination of real driving data in fleet tests in order to generate realistic driving cycles, which correspond as closely as possible to the actual driving behavior of the applications use case. Within the scope of this paper, real driving data are analyzed and used to create a representative driving cycle. The resulting driving cycle based on real driving characteristics is then used to investigate the impact of application-based design for powertrains on the design of electric machines, by illustrating the difference between synthetic operating points and real driving data.

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The different versions of the original document can be found in:

• http://dx.doi.org/10.3390/wevj10040060 under the license https://creativecommons.org/licenses/by

• http://dx.doi.org/10.3390/wevj10040060 under the license http://creativecommons.org/licenses/by/3.0/

• https://www.mdpi.com/2032-6653/10/4/60/pdf under the license https://creativecommons.org/licenses/by/4.0

• https://www.mdpi.com/2032-6653/10/4/60,

https://doaj.org/toc/2032-6653 under the license cc-by

• https://www.mdpi.com/2032-6653/10/4/60,

https://www.mdpi.com/2032-6653/10/4/60/pdf,

http://mediatum.ub.tum.de/node?id=1524235,

https://academic.microsoft.com/#/detail/2975041635

• https://www.mdpi.com/2032-6653/10/4/60/pdf,

http://dx.doi.org/10.3390/wevj10040060

• [ ] under the license https://creativecommons.org/licenses/by/4.0/