Adaptive shift scheduling strategy introducing neural network in automatic transmission

Conventional automatic transmissions, which have fixed shift patterns, sometimes show inconvenient shifting patterns, especially in uphill and downhill driving. In order to improve the driveability for these road conditions, Mitsubishi developed an adaptive shift logic called “Fuzzy shift” in 1992. Since then, further evolutional shift scheduling strategies has been developed to cover more extensive road conditions. This paper introduces neural network, learning and continuous variable shift patterns control incorporating this strategy.