A Two-dimensional Spatial Optimization Framework for Vehicle Powertrain Systems

TL;DR

This paper introduces a two-dimensional spatial optimization framework for vehicle powertrain systems, enabling automated placement and alignment of components to improve design efficiency.

Contribution

It develops a comprehensive modeling framework that captures component orientation, placement, and alignment constraints for powertrain system design.

Findings

Efficient automated generation of powertrain layouts.

Framework accommodates multi-level component orientations.

Demonstrated on a four-wheel driven electric vehicle.

Abstract

This paper presents a modeling framework to optimize the two-dimensional placement of powertrain elements inside the vehicle, explicitly accounting for the rotation, relative placement and alignment. Specifically, we first capture the multi-level nature of the system mathematically, and construct a model that captures different powertrain component orientations. Second, we include the relative element placement as variables in the model and derive alignment constraints for both child components and parent subsystems to automatically connect mechanical ports. Finally, we showcase our framework on a four-wheel driven electric vehicle. Our results demonstrate that our framework is capable of efficiently generating system design solutions in a fully automated manner, only using basic component properties.