Gearshift mechanism extreme position self-learning control method for AMT system

A shifting mechanism and limit position technology, which is applied in the direction of transmission control, mechanical equipment, components with teeth, etc., can solve the problems of motor precision and response speed reduction

Inactive Publication Date: 2011-09-14
海博瑞德(北京)汽车技术有限公司
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  • Abstract
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  • Application Information

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Problems solved by technology

However, the shift mechanism of the mechanical part is affected by temperature changes and aging, which reduces the accuracy and response speed of the motor to its position control. The...

Method used

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  • Gearshift mechanism extreme position self-learning control method for AMT system
  • Gearshift mechanism extreme position self-learning control method for AMT system
  • Gearshift mechanism extreme position self-learning control method for AMT system

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Experimental program
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Embodiment Construction

[0020] Such as figure 1 The shown self-learning method controls the working order of AMT: first, the input signal of the self-learning module is collected and input by the TCU, and the self-learning flag is output to other modules of the subsequent AMT, and then the AMT action sequence module selects the action sequence matrix according to the flag, and presses the action The time sequence is decoded to obtain the target position of each shifting mechanism, and finally the motor drive module drives the shifting mechanism to operate. The self-learning module will perform in-position detection according to the actual position of the shift mechanism, and if the self-learning is completed, it will automatically update and save the limit position parameters of the mechanical mechanism.

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Abstract

A gearshift mechanism extreme position self-learning control method for an AMT system is adopted for controlling the working sequence of the AMT system, and comprises the steps that firstly, an input signal of a self-learning module is acquired and input by a TCU (the control unit) and a self-learning bit zone is output to other subsequent modules of the AMT system; then an ATM action sequence module selects an action sequence matrix according the bit zone, and decoding is conducted according to action time sequence, so that the target position of each gearshift mechanism is obtained; and finally, the gearshift mechanism is driven to act by a motor driving module. The self-learning module conducts the in-place detection according to the actual position of the gearshift mechanism, and if the self learning process is completed, the extreme position parameter of a mechanical mechanism is updated and stored automatically. Therefore, when temperature is changed greatly or traveled distance is accumulated to a certain degree, the precision and the speed of motor driving can be guaranteed.

Description

technical field [0001] The invention relates to a limit position self-learning method of an electronically controlled mechanical automatic transmission mechanism. Background technique [0002] Electromechanical automatic transmission (AMT) is improved on the basis of traditional manual gear transmission; it is an electromechanical-hydraulic integrated automatic transmission that combines the advantages of AT (automatic) and MT (manual); AMT is both The utility model has the advantages of the automatic speed change of the hydraulic automatic transmission, and retains the advantages of high efficiency, low cost, simple structure and easy manufacture of the gear transmission of the original manual transmission. It combines the advantages of the two, and is an electromechanical-hydraulic integrated automatic transmission that is very suitable for my country's national conditions. It is modified on the existing mechanical transmission, retaining most of the original assembly par...

Claims

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Application Information

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IPC IPC(8): F16H61/00
Inventor 陈超张虹李惠惠
Owner 海博瑞德(北京)汽车技术有限公司
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