Fuel Consumption Reduction of a Fuel-Cell Hybrid vehicle Using Look-Ahead Fuzzy Control Approach

سال انتشار: 1400
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 46

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شناسه ملی سند علمی:

JR_IJAEIU-12-1_003

تاریخ نمایه سازی: 4 دی 1402

چکیده مقاله:

Environmental pollution and reduction of fossil fuel resources can be considered as the most important challenges for human society in the recent years. The results of previous studies show that the main consumer of fossil fuels and, consequently, most of the air pollutants, is related to the transportation industry and especially cars. The increasing growth of vehicles, the increase in traffic and the decrease in the average speed of inner-city vehicles have led to a sharp increase in fuel consumption. To address this problem, automakers have proposed the development and commercialization of hybrid vehicles as an alternative to internal combustion vehicles. In this paper, the design of an energy management system in a fuel-cell hybrid vehicle based on the look-ahead fuzzy control is considered. The preparation of fuzzy rules and the design of membership functions is based on the fuel efficiency curve of the fuel-cell. In look-ahead fuzzy control, the ahead conditions of the vehicle are the basis for decision in terms of slope and speed limit due to path curves as well as battery charge level. The fuzzy controller will determine the on or off status of the fuel-cell, as well as the power required. The motion of the fuel-cell hybrid vehicle on a real road is simulated and the performance of the proposed look-ahead controller is compared with the base controller (thermostatic method). The simulation results show that using the proposed approach can reduce the fuel consumption of the fuel-cell hybrid vehicle as well as travel time.

نویسندگان

Abolfazl Ghanbari Barzian

Department of Mechanical Engineering, Najafabad Branch, Islamic Azad University, Najafabad, Iran.

Mohammad Saadat

Department of Mechanical Engineering, Najafabad Branch, Islamic Azad University, Najafabad, Iran.

Hossein Saeedi Masine

Department of Mechanical Engineering, Najafabad Branch, Islamic Azad University, Najafabad, Iran.

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  • Ehsani, M., Y. Gao, and A. Emadi, Modern electric, hybrid ...
  • O_er, G.J.; Howey, D.; Contestabile, M.; Clague, R.; Brandon, N.P. ...
  • Larminie J, Dicks A, McDonald MS. Fuel-cell systems explained. Chichester, ...
  • Singhal SC, Kendall K, editors. High-temperature solid oxide fuel-cells: fundamentals, ...
  • management of hybrid electric vehicles”, Vehicular Technology, IEEE Transactions on, ...
  • Bilchev, G., Marston, D., Hristov, N., Peytchev, E., Wall, N., ...
  • Lee, S., Walters, S., Howlett, R., “Intelligent GPS-based vehicle control ...
  • Johannesson, L., Asbogard, M., Egardt, B., “Assessing the potential of ...
  • Back, M., Simons, M., Kirschaum, F., Krebs, V., “Predictive control ...
  • Rajagopalan, A., Washington, G., Rizzoni, G., Guezennec, Y., “Development of ...
  • Musardo, C., Staccia, B., Bittanti, S., Guezennec, Y., Guzzella, L., ...
  • Ambuhl, D. and Guzzella, L., “Predictive reference signal generator for ...
  • Mascioli, F. M. F., Rizzi, A., Panella, M., Bettiol, C., ...
  • Ogburn, M., J., "Systems Integration, Modeling, and Validation of a ...
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