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Research Papers: Design Automation

Decomposition-Based Design Optimization of Hybrid Electric Powertrain Architectures: Simultaneous Configuration and Sizing Design

[+] Author and Article Information
Alparslan Emrah Bayrak

Mechanical Engineering,
University of Michigan,
Ann Arbor, MI 48109
e-mail: bayrak@umich.edu

Namwoo Kang

Mechanical Engineering,
University of Michigan,
Ann Arbor, MI 48109
e-mail: nwkang@umich.edu

Panos Y. Papalambros

Mechanical Engineering,
University of Michigan,
Ann Arbor, MI 48109
e-mail: pyp@umich.edu

1Corresponding author.

Contributed by the Design Automation Committee of ASME for publication in the JOURNAL OF MECHANICAL DESIGN. Manuscript received December 3, 2015; final manuscript received May 8, 2016; published online June 3, 2016. Assoc. Editor: Massimiliano Gobbi.

J. Mech. Des 138(7), 071405 (Jun 03, 2016) (9 pages) Paper No: MD-15-1796; doi: 10.1115/1.4033655 History: Received December 03, 2015; Revised May 08, 2016

Effective electrification of automotive vehicles requires designing the powertrain's configuration along with sizing its components for a particular vehicle type. Employing planetary gear (PG) systems in hybrid electric vehicle (HEV) powertrain architectures allows various architecture alternatives to be explored, including single-mode architectures that are based on a fixed configuration and multimode architectures that allow switching power flow configuration during vehicle operation. Previous studies have addressed the configuration and sizing problems separately. However, the two problems are coupled and must be optimized together to achieve system optimality. An all-in-one (AIO) system solution approach to the combined problem is not viable due to the high complexity of the resulting optimization problem. This paper presents a partitioning and coordination strategy based on analytical target cascading (ATC) for simultaneous design of powertrain configuration and sizing for given vehicle applications. The capability of the proposed design framework is demonstrated by designing powertrains with one and two PGs for a midsize passenger vehicle.

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Figures

Grahic Jump Location
Fig. 1

Lever representation of a Toyota Prius like architecture

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Fig. 2

Lever representation of a one-PG, dual-mode architecture with hybrid and pure-electric configurations

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Fig. 3

Modified bond graph representation of the Toyota Prius architecture where ρ is the ring to sun PG ratio

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Fig. 4

Lever representation of a two-PG, dual-mode architecture with two hybrid configurations

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Fig. 5

Projection of the 4D feasible region of Cconf for one-PG hybrid designs to 2D planes. (a) C11 versus C12 (or C21 versus C22) and (b) C11 versus C21 (or C12 versus C22).

Grahic Jump Location
Fig. 6

Decomposition of combined single-mode architecture and gear ratio design

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Fig. 7

Decomposition of combined multimode architecture and gear ratio design

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Fig. 8

Optimal single-mode two-PG architecture obtained by ATC

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Fig. 9

Optimal two-PG dual-mode obtained by ATC

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