A shift point predictive control method for automatic transmission based on vehicle navigation system

Abstract

The invention discloses an automatic speed changer gear shifting point predicting control method based on a vehicle-mounted navigation system. The method comprises the steps that firstly, current vehicle structure parameters, state parameters and power transmission system parameters are determined; secondly, front road feature parameters are extracted; thirdly, the future vehicle state is predicted on the basis of the feature parameters; fourthly, work condition division is conducted according to the future vehicle state, the speed changer gear meeting the needed torque and the rotation speedneeded by an engine is selected, the fuel consumption rate corresponding to the gear is calculated, the gear where the fuel consumption rate is the lowest serves as the predicted target gear, the changing difference value between the current gear and the predicted target gear is calculated, and work condition division is conducted; and fifthly, the optimal gear shifting method is formulated for different work conditions. On the premise that dynamic performance, driving controllabitity and safety are guaranteed, rolling optimization of gear shifting points can be achieved, the automatic speed changer gear shifting point predicting control method better adapts to the whole vehicle dynamic character, and optimal matching of the dynamic performance and economic efficiency is achieved.

Description

technical field [0001] The invention relates to a shift point prediction control method of an automatic transmission based on a vehicle navigation system, belonging to the field of transmission shifting. Background technique [0002] Gear selection technology of automotive automatic transmission directly affects vehicle performance such as power and economy, and is the focus of attention in the field of automotive transmission technology. The look-up shift schedule based on the steady-state working condition design has the problems of long development cycle, high cost, and inability to implement both power and economy. At present, the two-parameter design based on the stable driving condition of the vehicle is generally used in the engineering field. The regularity of shifting gears shows that it is not suitable for the road environment and the driver. In actual operation, affected by the human-vehicle-road traffic environment, the throttle opening may vary greatly and freq...

AI Technical Summary

Problems solved by technology

At present, it is mainly based on the estimation of vehicle kinematics and dynamics characteristics or obtains the current road slope information through additional sensors, but these methods all have delays in online estimation, and the cost of adding additional slope sensors is high, and the complex and changeable driving environment is difficult for sensors. The output accuracy is affected, and there is no way to obtain the geometric information of the road that may appear in front of the vehicle in advance. It can only be in a passive response state, and it is difficult to achieve popularization.

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