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A Method for Conceptual Design and Component Sizing of a Hybrid Electric Vehicle Powertrain

Mohammad Bagher, Ehsan | 2017

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 50244 (08)
  4. University: Sharif University of Technology
  5. Department: Mechanical Engineering
  6. Advisor(s): Saadat Foumani, Mahmoud; Nasiri, Sayyad
  7. Abstract:
  8. One of the main and challenging stages in the development of hybrid vehicles (HEVs) is the conceptual design of its powertrain, which includes two parts: architecture design and sizing. This research aims to introduce a novel framework for conceptual design of HEV powertrains. By using this framework, not only the sizing of components is optimized but also the optimal architecture of powertrain is selected. In the proposed framework, by finding the optimal values of the powertrain design variables, including type of architecture and sizing variables (such as nominal powers, nominal torques, conversion ratios, etc.), the performance and the cost of hybrid vehicle is optimized in three layers : The outer layer of optimization is the architecture design that is based on the exhaustive search method which all the architectures are considered and the optimal one is obtained; In the middle layer, the sizing is optimized using Non-dominated Sorting Genetic Algorithm (NSGA II); For the inner layer which is control strategy, by utilizing the dynamic programming (DP) method, the optimal performance of the car during the simulation is guaranteed. By using the developed framework on the Samand Platform as a case of study, 18 various architectures found in the industry and also introduced in the previous studies have been assessed and the optimal powertrain design with notable results were achieved. Furthermore, a deep comparison between architectures in the field of components sizing, range and vehicle mass is done. Finally one of the multi-criteria decision making methods was used to evaluate the Pareto optimal solutions and the Parallel P2 architecture was selected as the best design according to platform constraints
  9. Keywords:
  10. Multiobjective Optimization ; Conceptual Design ; Hybrid Car ; Hybrid Vehicle Layout ; Component Sizing ; Power Transmission System ; Architectural Design

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