International Journal of Fuzzy Logic and Intelligent Systems

  • 제13권2호
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  • Pages.116-123
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  • 2013
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  • 1598-2645(pISSN)
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  • 2093-744X(eISSN)
한국지능시스템학회 (Korean Institute of Intelligent Systems)
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Development of Intelligent Gear-Shifting Map Based on Radial Basis Function Neural Networks

  • Ha, Sang-Hyung (School of Electrical and Electronic Engineering, Chung-Ang University) ;
  • Jeon, Hong-Tae (School of Electrical and Electronic Engineering, Chung-Ang University)
  • 투고 : 2013.04.02
  • 심사 : 2013.06.07
  • 발행 : 2013.06.25
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초록

Currently, most automobiles have automatic transmission systems. The gear-shifting strategy used to generate shift patterns in transmission systems plays an important role in improving the performance of vehicles. However, conventional transmission systems have a fixed type of shift map, so it may not be enough to provide an efficient gear-shifting pattern to satisfy the demands of driver. In this study, we developed an intelligent strategy to handle these problems. This approach is based on a normalized radial basis function neural network, which can generate a flexible gear-shift pattern to satisfy the demands of drivers, including comfortable travel and fuel consumption. The method was verified through simulations.

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참고문헌

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