Topology Generation for Hybrid Electric Vehicle Architecture Design

Alparslan Emrah Bayrak, Yi Ren, Panos Y. Papalambros

Research output: Contribution to journalArticle

16 Citations (Scopus)

Abstract

Existing hybrid powertrain architectures, i.e., the connections from engine and motors to the vehicle output shaft, are designed for particular vehicle applications, e.g., passenger cars or city buses, to achieve good fuel economy. For effective electrification of new applications (e.g., heavy-duty trucks or racing cars), new architectures may need to be identified to accommodate the particular vehicle specifications and drive cycles. The exploration of feasible architectures is combinatorial in nature and is conventionally based on human intuition. We propose a mathematically rigorous algorithm to enumerate all feasible powertrain architectures, therefore enabling automated optimal powertrain design. The proposed method is general enough to account for single and multimode architectures as well as different number of planetary gears (PGs) and powertrain components. We demonstrate through case studies that our method can generate the complete sets of feasible designs, including the ones available in the market and in patents.

Original languageEnglish (US)
Article number081401
JournalJournal of Mechanical Design, Transactions of the ASME
Volume138
Issue number8
DOIs
StatePublished - Aug 1 2016

Fingerprint

Powertrains
Hybrid vehicles
Topology
Hybrid powertrains
Passenger cars
Fuel economy
Trucks
Gears
Railroad cars
Engines
Specifications

ASJC Scopus subject areas

  • Mechanical Engineering
  • Mechanics of Materials
  • Computer Graphics and Computer-Aided Design
  • Computer Science Applications

Cite this

Topology Generation for Hybrid Electric Vehicle Architecture Design. / Bayrak, Alparslan Emrah; Ren, Yi; Papalambros, Panos Y.

In: Journal of Mechanical Design, Transactions of the ASME, Vol. 138, No. 8, 081401, 01.08.2016.

Research output: Contribution to journalArticle

@article{789222b3c5d5481ab30030274dba64d6,
title = "Topology Generation for Hybrid Electric Vehicle Architecture Design",
abstract = "Existing hybrid powertrain architectures, i.e., the connections from engine and motors to the vehicle output shaft, are designed for particular vehicle applications, e.g., passenger cars or city buses, to achieve good fuel economy. For effective electrification of new applications (e.g., heavy-duty trucks or racing cars), new architectures may need to be identified to accommodate the particular vehicle specifications and drive cycles. The exploration of feasible architectures is combinatorial in nature and is conventionally based on human intuition. We propose a mathematically rigorous algorithm to enumerate all feasible powertrain architectures, therefore enabling automated optimal powertrain design. The proposed method is general enough to account for single and multimode architectures as well as different number of planetary gears (PGs) and powertrain components. We demonstrate through case studies that our method can generate the complete sets of feasible designs, including the ones available in the market and in patents.",
author = "Bayrak, {Alparslan Emrah} and Yi Ren and Papalambros, {Panos Y.}",
year = "2016",
month = "8",
day = "1",
doi = "10.1115/1.4033656",
language = "English (US)",
volume = "138",
journal = "Journal of Mechanical Design - Transactions of the ASME",
issn = "1050-0472",
publisher = "American Society of Mechanical Engineers(ASME)",
number = "8",

}

TY - JOUR

T1 - Topology Generation for Hybrid Electric Vehicle Architecture Design

AU - Bayrak, Alparslan Emrah

AU - Ren, Yi

AU - Papalambros, Panos Y.

PY - 2016/8/1

Y1 - 2016/8/1

N2 - Existing hybrid powertrain architectures, i.e., the connections from engine and motors to the vehicle output shaft, are designed for particular vehicle applications, e.g., passenger cars or city buses, to achieve good fuel economy. For effective electrification of new applications (e.g., heavy-duty trucks or racing cars), new architectures may need to be identified to accommodate the particular vehicle specifications and drive cycles. The exploration of feasible architectures is combinatorial in nature and is conventionally based on human intuition. We propose a mathematically rigorous algorithm to enumerate all feasible powertrain architectures, therefore enabling automated optimal powertrain design. The proposed method is general enough to account for single and multimode architectures as well as different number of planetary gears (PGs) and powertrain components. We demonstrate through case studies that our method can generate the complete sets of feasible designs, including the ones available in the market and in patents.

AB - Existing hybrid powertrain architectures, i.e., the connections from engine and motors to the vehicle output shaft, are designed for particular vehicle applications, e.g., passenger cars or city buses, to achieve good fuel economy. For effective electrification of new applications (e.g., heavy-duty trucks or racing cars), new architectures may need to be identified to accommodate the particular vehicle specifications and drive cycles. The exploration of feasible architectures is combinatorial in nature and is conventionally based on human intuition. We propose a mathematically rigorous algorithm to enumerate all feasible powertrain architectures, therefore enabling automated optimal powertrain design. The proposed method is general enough to account for single and multimode architectures as well as different number of planetary gears (PGs) and powertrain components. We demonstrate through case studies that our method can generate the complete sets of feasible designs, including the ones available in the market and in patents.

UR - http://www.scopus.com/inward/record.url?scp=84974801237&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84974801237&partnerID=8YFLogxK

U2 - 10.1115/1.4033656

DO - 10.1115/1.4033656

M3 - Article

VL - 138

JO - Journal of Mechanical Design - Transactions of the ASME

JF - Journal of Mechanical Design - Transactions of the ASME

SN - 1050-0472

IS - 8

M1 - 081401

ER -