Simultaneous Optimization of Topology and Component Sizes for Double Planetary Gear Hybrid Powertrains

Weichao Zhuang, Xiaowu Zhang, Huei Peng and Liangmo Wang
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Weichao Zhuang: Department of Mechanical Engineering, School of Mechanical Engineering, Nanjing University of Science and Technology, 200 Xiaolingwei Street, Nanjing 210094, China
Xiaowu Zhang: Department of Mechanical Engineering, University of Michigan, G041, Walter E. Lay Autolab, 1231 Beal Ave, Ann Arbor, MI 48109, USA
Huei Peng: Department of Mechanical Engineering, University of Michigan, G041, Walter E. Lay Autolab, 1231 Beal Ave, Ann Arbor, MI 48109, USA
Liangmo Wang: Department of Mechanical Engineering, School of Mechanical Engineering, Nanjing University of Science and Technology, 200 Xiaolingwei Street, Nanjing 210094, China

Energies, 2016, vol. 9, issue 6, 1-17

Abstract: Hybrid powertrain technologies are successful in the passenger car market and have been actively developed in recent years. Optimal topology selection, component sizing, and controls are required for competitive hybrid vehicles, as multiple goals must be considered simultaneously: fuel efficiency, emissions, performance, and cost. Most of the previous studies explored these three design dimensions separately. In this paper, two novel frameworks combining these three design dimensions together are presented and compared. One approach is nested optimization which searches through the whole design space exhaustively. The second approach is called enhanced iterative optimization, which executes the topology optimization and component sizing alternately. A case study shows that the later method can converge to the global optimal design generated from the nested optimization, and is much more computationally efficient. In addition, we also address a known issue of optimal designs: their sensitivity to parameters, such as varying vehicle weight, which is a concern especially for the design of hybrid buses. Therefore, the iterative optimization process is applied to design a robust multi-mode hybrid electric bus under different loading scenarios as the final design challenge of this paper.

Keywords: hybrid electric vehicles (HEVs); energy management; topology optimization; optimal design methodology (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (17)

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