Automatic gear shifting control method based on fuzzy neural network

Abstract

The invention discloses an automatic gear shifting control method based on a fuzzy neural network. The automatic gear shifting control method comprises the following steps that corresponding gear values of a vehicle driven by an excellent driver at different accelerator opening degrees and driving vehicle speeds are collected; a T-S model is selected for designing a fuzzy neural network controller, and the collected vehicle speed, accelerator pedal opening and corresponding gear information serve as training samples to train a training model; the trained model is embedded into a gear shifting controller, and when the actual accelerator pedal opening degree and the vehicle speed are input into the gear shifting controller, a target gear is output through calculation; and the output gear information acts on a real vehicle system, so that control output is realized. According to the method, the fuzzy algorithm and the neural network algorithm are used in an integrated mode, the trained model can generate a complex nonlinear function through a small number of fuzzy rules, parameter identification and setting are conducted from the excellent driver operation angle, and the whole vehicle drivability is improved.

Description

technical field [0001] The invention relates to the technical field of automobile control, in particular to an automatic transmission shift control method, in particular to a fuzzy neural network automatic shift control method based on an excellent driver's driving behavior model. Background technique [0002] Vehicle power, economy and comfort are important indicators for measuring and evaluating vehicles, which not only depend on the quality of the engine, but also are closely related to the performance of the transmission. At present, the gear shift control of automatic transmission is basically based on the two parameters of accelerator pedal and vehicle speed. When the vehicle speed is greater than or less than the set threshold under a certain accelerator opening, the transmission performs upshift or downshift operation. Two shift point calculation methods are mainly used: the first one is to calculate the optimal shift point according to the driving force curve of the...

AI Technical Summary

Problems solved by technology

[0004] Aiming at the current problems, the present invention provides a method for applying the T-S fuzzy neural network algorithm to automatic gear shift control. The fuzzy algorithm and the neural network algorithm are integrated, and the trained model can use a small amount of fuzzy rules to generate complex Non-linear function, parameter identification and setting from the perspective of excellent driver operation, to improve vehicle drivability

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