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汽车安全与节能学报

汽车安全与节能学报 ›› 2012, Vol. 3 ›› Issue (1): 64-70.DOI: 10.3969/j.issn.1674-8484.2012.01.010

• 汽车节能与环保 • 上一篇    下一篇

插电式混合电动汽车动力系结构的非线性约束优化（英文）

Emrah T. YILDIZ 1, Quazi FAROOQI 2, Sohel ANWAR2*, Yaobin CHEN 3, Afshin IZADIAN 4   

  1. 1. 康明斯公司，哥伦布市，印地安纳州（IN）47201, 美国；
    2. 印第安纳大学与普度大学印第安纳波里斯联合分校（IUPUI） 机械工程系，印第安纳波里斯，IN 46202，美国；
    3. IUPUI 电子与计算机工程系，IN 46202, 美国；
    4. IUPUI 工程技术系, IN 46202， 美国
  • 收稿日期:2012-02-08 出版日期:2012-03-25 发布日期:2012-03-28
  • 通讯作者: SohelANWAR，Associate Professor and Graduate Chair. E-mail ：soanwar@iupui.edu E-mail:etolgayildiz@gmail.com
  • 作者简介:Emrah T. YILDIZ (1984—), USA, Master’s Degree in Mechanical Engineering. E-mail: etolgayildiz@gmail.com
  • 基金资助:

    Indiana Office of Energy and Defense Development (IOEDD) though a research grant number A302-8-EEC-002

Nonlinear Constrained Component Optimization for the Powertrain Configuration of a Plug-in Hybrid Electric Vehicle Powertrain

Emrah T. YILDIZ 1, Quazi FAROOQI 2, Sohel ANWAR2*, Yaobin CHEN 3, Afshin IZADIAN 4   

  1. 1. Cummins, Inc., Columbus, IN 47201, USA ；
    2. Department of Mechanical Engineering, Indiana University-Purdue University Indianapolis (IUPUI), Indianapolis, IN 46202, USA ；
    3. Department of Electrical and Computer Engineering, IUPUI, IN 46202, USA;
    4. Department of Engineering Technology, IUPUI, IN 46202, USA
  • Received:2012-02-08 Online:2012-03-25 Published:2012-03-28
  • Contact: SohelANWAR，Associate Professor and Graduate Chair. E-mail ：soanwar@iupui.edu E-mail:etolgayildiz@gmail.com
  • About author:Emrah T. YILDIZ (1984—), USA, Master’s Degree in Mechanical Engineering. E-mail: etolgayildiz@gmail.com
  • Supported by:

    Indiana Office of Energy and Defense Development (IOEDD) though a research grant number A302-8-EEC-002

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摘要： 为了优化插电式混合电动汽车 (PHEV) 动力系（例如发动机功率、电动机功率、相关经济效率）
构件尺寸，使用了“粒子群优化” (PSO) 方法。对于非线性约束优化问题，PSO 方法比常规优化方法
更有效、经济。用动力系反洗工具箱(PSAT) 方法，构建了新的带有优化配置的PHEV 动力系的模型系。
仿真计算结果表明：运用PSO 优化构件的汽车，具有同等的驾驶性能，在燃料消耗上达30% 的改进。

关键词: 插电式混合电动汽车 (PHEV) ；动力系；最佳化构件尺寸；“粒子群优化&rdquo, (PSO) 方法；动力系反洗工具箱（PSAT）

Abstract: Particle Swarm Optimization (PSO) approach was used to optimize the size of the vehicle
powertrain components (e.g. engine power, electric motor power, battery energy capacity) while meeting the
critical performance requirements, improving fuel efficiency, and obtaining cost effectiveness for a plug-in hybrid
electric vehicle (PHEV). Compared with conventional optimization methods, PSO isan efficient and precise
optimization method for nonlinear constrained optimization problems.The PHEV powertrain configuration with
the optimized components was used to form a new vehicle model using Powertrain System Analysis Toolkit
(PSAT). Simulation results show that the vehicle with optimized components using PSO have equivalent
operational performance and 30% improvement on fuel consumption.

Key words: plug-in hybrid electric vehicle (PHEV), powertrain, optimal component sizing, particle swarm optimization, powertrain system analysis toolkit (PSAT)

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