Multi-kriterielle Optimierung eines xEV-Getriebes unter Berücksichtigung von Bauraumeinschränkungen

In the design process of electric powertrains, consisting of electric machine, gearbox and power electronics, the requirements regarding performance, package and costs are typically set on system level. This imposes that deduction of component requirements is not unique and component properties interfere with each other. As a component of the powertrain system, the gearbox represents a linking element between the electric machine and drive shafts to the wheels. Through this the available installation space of the gearbox shows manifold characteristics due to multiple possible motor-and power electronics variants as also versatile system installation positions and angles. This space can be utilized by different gearbox variants, which are characterized by gearbox-internal design parameters. They affect gear ratio, configuration of gearwheels, outer shape of the gearbox and therefore the package as well as efficiency and production costs. The high variability of gearbox design parameters and packagingrelated aspects lead to a complex problem in the design process. In this context, the present contribution introduces a gearbox design optimization process to support decision-making in the early development phase. For given load-, lifetime-and package-requirements, the introduced differential evolution-based process delivers design parameters of shafts, gears, bearings and their arrangement to handle efficiency, package and costs in a multi-objective manner. The results are represented as Pareto front of gearbox designs variants, from which decision makers are able to choose the best and most suitable trade-off. The new approach is exemplarily demonstrated on a single-speed, two-stage helical gearbox with an integrated differential drive, which represents a common gearbox topology for xEVaxle drives today.