Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

A system and method for identifying congestion conditions and correcting automatic gear shifting

A technology of automatic shifting and working conditions, applied in the direction of transmission control, components with teeth, belts/chains/gears, etc. Overheating of the shift clutch, etc., to achieve the effect of improving the level of intelligence, improving driving safety and riding comfort, and prolonging service life

Active Publication Date: 2018-11-06
HEFEI UNIV OF TECH
View PDF6 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] When the vehicle is in a congested condition, the basic shift control method of the automatic transmission is set according to the normal driving condition, and it is impossible to adopt different shift control strategies to meet the current required gear according to the different driving conditions of the vehicle, so that the driver has to follow the Vehicle and driving safety, frequent stepping on the accelerator pedal and brake pedal, the vehicle speed and the accelerator are prone to sudden changes, resulting in frequent shifting of the vehicle, increasing the wear of the shifting actuators and the braking system, and even causing the shift clutch of the dry dual clutch Power interruption due to overheating, causing safety accidents

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • A system and method for identifying congestion conditions and correcting automatic gear shifting
  • A system and method for identifying congestion conditions and correcting automatic gear shifting
  • A system and method for identifying congestion conditions and correcting automatic gear shifting

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0104] Embodiment: Taking the vehicle traveling on a very congested road section as an example, combining Figure 1 to Figure 4, describe the identification of congestion conditions and the control process of automatic transmission correction, select a certain type of vehicle with automatic transmission gear 8, select a very congested road section in the first ring road in the evening peak of a city on weekdays, the details are as follows:

[0105] The average throttle opening, braking times, and mileage within the sample period are selected as the input of the T-S fuzzy neural network; in order to ensure the accuracy and diversity of the training samples, the evening peak of the first ring road in Hefei is collected by real vehicles. There are 40 groups of vehicle parameters in very congested state, general congested state, and smooth traffic state, respectively recording sample A, sample B, and sample C. Each group of parameters contains three components, which are the averag...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a congestion working condition recognition and automatic speed changing and gear shifting correction system and method. The system is characterized by comprising a signal processing module, a congestion working condition recognition module, a gear shifting correction module and an electromagnetic valve driving module. The signal processing module comprises a training sample obtaining module and a recognition sample obtaining module. The congestion working condition recognition module comprises a T-S fuzzy neural network training module and a T-S fuzzy neural network recognition module. Sensor signals are collected and calculated, so that a training sample and a recognition sample are obtained; a T-S fuzzy neural network recognition system is trained, congestion working conditions are recognized and graded, and the automatic speed changing basic gear shifting rule is corrected through the congestion grade. The congestion working conditions can be effectively recognized, automatic speed changing and gear shifting correction is carried out, frequent gear shifting under the congestion working condition is avoided, and abrasion on a gear shifting execution component and a brake system is reduced.

Description

technical field [0001] The invention belongs to the technical field of automatic transmission control for vehicles, in particular to a system and method for identification of congested working conditions and automatic transmission and shift correction. Background technique [0002] A general vehicle automatic transmission includes a number of transmission gears and clutches. Shifting is to control the combination and separation of the clutches according to the speed ratio of the transmission input shaft and output shaft required by the vehicle, so that the speed ratio of the transmission input shaft and output shaft becomes a new one. speed ratio. [0003] Automatic shifting control technology is the key technology of vehicle shifting control. Automatic shifting control mainly includes single-parameter, two-parameter, three-parameter, and even four-parameter basic shift control methods to improve fuel economy and smooth shifting sex. [0004] When the vehicle is in a conge...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(China)
IPC IPC(8): F16H61/02F16H61/04F16H59/60F16H59/24F16H59/54F16H59/44F16H59/70
CPCF16H59/24F16H59/44F16H59/54F16H59/70F16H61/0213F16H61/0437F16H2059/605F16H2061/0081F16H2061/0084F16H2061/0087F16H2061/0459
Inventor 夏光郑友涂波涛郭东云闫瑞琦邹斌杜克谢海滑杨莹施信信
Owner HEFEI UNIV OF TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products