A Two-dimensional Spatial Optimization Framework for Vehicle Powertrain Systems

J.H.E. van Kampen; Mauro Salazar; Theo Hofman

doi:10.1109/VPPC60535.2023.10403195

A Two-dimensional Spatial Optimization Framework for Vehicle Powertrain Systems

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

4 Citations (Scopus)

78 Downloads (Pure)

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.

Original language	English
Title of host publication	2023 IEEE Vehicle Power and Propulsion Conference, VPPC 2023
Publisher	Institute of Electrical and Electronics Engineers
Number of pages	6
ISBN (Electronic)	979-8-3503-4445-5
DOIs	https://doi.org/10.1109/VPPC60535.2023.10403195
Publication status	Published - 30 Jan 2024
Event	19th IEEE Vehicle Power and Propulsion Conference, VPPC 2023 - Milan, Italy Duration: 24 Oct 2023 → 27 Oct 2023

Conference

Conference	19th IEEE Vehicle Power and Propulsion Conference, VPPC 2023
Abbreviated title	VPPC 2023
Country/Territory	Italy
City	Milan
Period	24/10/23 → 27/10/23

Funding

Jorn van Kampen, Mauro Salazar and Theo Hofman are with the Control Systems Technology section, Department of Mechanical Engineering, Eindhoven University of Technology (TU/e), Eindhoven, 5600 MB, The Netherlands. E-mails: [email protected], [email protected], [email protected] This paper was supported by the NEON research project (project number 17628 of the Crossover program which is (partly) financed by the Dutch Research Council (NWO)).

Funders
Nederlandse Organisatie voor Wetenschappelijk Onderzoek

Keywords

Hybrid and electric vehicles
Optimization
Packaging
Placement problems
Powertrain topologies

Access to Document

10.1109/VPPC60535.2023.10403195

pdfFinal published version, 459 KBLicence: TAVERNE

Cite this

@inproceedings{d2fefd82d94f4ffea68adbbd20363230,

title = "A Two-dimensional Spatial Optimization Framework for Vehicle Powertrain Systems",

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.",

keywords = "Hybrid and electric vehicles, Optimization, Packaging, Placement problems, Powertrain topologies",

author = "\{van Kampen\}, J.H.E. and Mauro Salazar and Theo Hofman",

year = "2024",

month = jan,

day = "30",

doi = "10.1109/VPPC60535.2023.10403195",

language = "English",

booktitle = "2023 IEEE Vehicle Power and Propulsion Conference, VPPC 2023",

publisher = "Institute of Electrical and Electronics Engineers",

address = "United States",

note = "19th IEEE Vehicle Power and Propulsion Conference, VPPC 2023, VPPC 2023 ; Conference date: 24-10-2023 Through 27-10-2023",

}

van Kampen, JHE , Salazar, M & Hofman, T 2024, A Two-dimensional Spatial Optimization Framework for Vehicle Powertrain Systems. in 2023 IEEE Vehicle Power and Propulsion Conference, VPPC 2023., 10403195, Institute of Electrical and Electronics Engineers, 19th IEEE Vehicle Power and Propulsion Conference, VPPC 2023, Milan, Italy, 24/10/23. https://doi.org/10.1109/VPPC60535.2023.10403195

A Two-dimensional Spatial Optimization Framework for Vehicle Powertrain Systems. / van Kampen, J.H.E.; Salazar, Mauro ; Hofman, Theo.
2023 IEEE Vehicle Power and Propulsion Conference, VPPC 2023. Institute of Electrical and Electronics Engineers, 2024. 10403195.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - A Two-dimensional Spatial Optimization Framework for Vehicle Powertrain Systems

AU - van Kampen, J.H.E.

AU - Salazar, Mauro

AU - Hofman, Theo

PY - 2024/1/30

Y1 - 2024/1/30

N2 - 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.

AB - 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.

KW - Hybrid and electric vehicles

KW - Optimization

KW - Packaging

KW - Placement problems

KW - Powertrain topologies

UR - https://www.scopus.com/pages/publications/85185348998

U2 - 10.1109/VPPC60535.2023.10403195

DO - 10.1109/VPPC60535.2023.10403195

M3 - Conference contribution

BT - 2023 IEEE Vehicle Power and Propulsion Conference, VPPC 2023

PB - Institute of Electrical and Electronics Engineers

T2 - 19th IEEE Vehicle Power and Propulsion Conference, VPPC 2023

Y2 - 24 October 2023 through 27 October 2023

ER -

A Two-dimensional Spatial Optimization Framework for Vehicle Powertrain Systems

Abstract

Conference

Funding

Keywords

Access to Document

Other files and links

Fingerprint

Automated Three-dimensional Spatial Optimization for Multi-Domain Systems with Alignment Constraints

Cite this