Transactions of the Korean Society of Automotive Engineers (한국자동차공학회논문집)

The Korean Society of Automotive Engineers (한국자동차공학회)
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Computationally Effective Optimization of Hybrid Vehicle Powertrain Design Using Characteristic Loss Evaluation

특성 손실 평가를 통한 하이브리드 자동차 동력전달장치의 빠른 설계 최적화

  • Park, Seho (School of Mechanical Engineering, Pusan National University) ;
  • Ahn, Changsun (School of Mechanical Engineering, Pusan National University)
  • 박세호 (부산대학교 기계공학부) ;
  • 안창선 (부산대학교 기계공학부)
  • Received : 2015.02.25
  • Accepted : 2015.07.28
  • Published : 2015.11.01
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Abstract

The efficiency of a powertrain system of hybrid vehicle is highly dependent on the design and control of the hybrid powertrain system. In other words, the optimal design of the powertrain systems is coupled with optimal control of the powertrain system. Therefore, the solution of an optimal design problem for hybrid vehicles is computationally and timely very expensive. For example, dynamic programming, which is a recursive optimization method, is usually used to evaluate the best fuel economy of certain hybrid vehicle design, and, thus, the evaluation takes tens of minutes to several hours. This research aims to accelerate the speed of efficiency evaluation of hybrid vehicles. We suggest a mathematical treat and a methodological treat to reduce the computational load. The mathematical treat is that the dynamics of system is discretized with sparse sampling time without loss of energy balance. The methodological treat is that the efficiency of the hybrid vehicle is inferred by characteristic loss evaluation that is computationally inexpensive. With the suggested methodology, evaluating a design candidate of hybrid powertrain system is taken few minutes, which was taken several hours when dynamic programming is used.

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References

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