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Abstract
The presented optimization method supports early system design of electric axle drives (eDrives) for battery and hybrid electric vehicles. The multi-criteria design problem of finding the best suitable solutions regarding performance, efficiency, package and costs is addressed with a sophisticated multi-objective optimization method. The overall system costs are reduced by including common-part considerations for purchased parts, demonstrated on the example of bearings. Two approaches are compared: the implicit approach relies on an extended cost model that covers a quantity-dependent cost reduction effect. The explicit approach directly minimizes the number of unique parts in the system. Both approaches are compared and the effect on the optimal system solution is discussed for a case study, which shows significant cost reduction potential.
Originalsprache | englisch |
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DOIs | |
Publikationsstatus | Veröffentlicht - 10 Dez. 2019 |
Veranstaltung | International CTI Symposium Berlin: Automotive Drivetrains I Intelligent I Electrified, Berlin 2019 - Berlin, Berlin, Deutschland Dauer: 10 Dez. 2019 → 11 Dez. 2019 Konferenznummer: 18 https://drivetrain-symposium.world/de/symposium/programme/ |
Konferenz
Konferenz | International CTI Symposium Berlin |
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Kurztitel | CTI 2019 Berlin |
Land/Gebiet | Deutschland |
Ort | Berlin |
Zeitraum | 10/12/19 → 11/12/19 |
Internetadresse |
ASJC Scopus subject areas
- Fahrzeugbau
Fields of Expertise
- Mobility & Production
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System Cost Reduction by Electric Powertrain Design Optimization
Martin Hofstetter (Redner/in)
10 Dez. 2019Aktivität: Vortrag oder Präsentation › Vortrag bei Konferenz oder Fachtagung › Science to science