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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July 2016
Research-Article
Decomposition-Based Design Optimization of Hybrid Electric Powertrain Architectures: Simultaneous Configuration and Sizing Design
Panos Y. Papalambros
Panos Y. Papalambros
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Alparslan Emrah Bayrak
Namwoo Kang
Panos Y. Papalambros
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. Jul 2016, 138(7): 071405 (9 pages)
Published Online: June 3, 2016
Article history
Received:
December 3, 2015
Revised:
May 8, 2016
Citation
Bayrak, A. E., Kang, N., and Papalambros, P. Y. (June 3, 2016). "Decomposition-Based Design Optimization of Hybrid Electric Powertrain Architectures: Simultaneous Configuration and Sizing Design." ASME. J. Mech. Des. July 2016; 138(7): 071405. https://doi.org/10.1115/1.4033655
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