A self-learning method and system for current valve pressure difference-current characteristics

A self-learning method and technology of current characteristics, applied in the field of self-learning method and system of current valve pressure difference-current characteristics, can solve the problems of high manufacturing process cost and failure of braking accuracy to meet actual requirements, etc.

Active Publication Date: 2021-07-30
上海拿森汽车电子有限公司
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] For electronic stability control systems, braking accuracy is a very important indicator. At present, the accuracy of the relationship between pressure difference and current is ensured mainly by improving the manufacturing process accuracy of the current valve. Generally, the manufacturing process accuracy of the current valve is required to reach 10%, the manufacturing process cost is very high; in addition, because the production and calibration of the current valves cannot be completely the same, there will be some differences in the pressure difference-current characteristic curves of each current valve, resulting in the braking accuracy of the electronic stability control system cannot meet the actual Require

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 self-learning method and system for current valve pressure difference-current characteristics
  • A self-learning method and system for current valve pressure difference-current characteristics
  • A self-learning method and system for current valve pressure difference-current characteristics

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0023] The technical solutions of the present invention will be further described in detail below in conjunction with the drawings and specific embodiments of the description. Unless otherwise defined, all technical and scientific terms used in the present invention have the same meaning as commonly understood by one of ordinary skill in the technical field of the present invention. The terms used herein in the description of the present invention are for the purpose of describing specific embodiments only, and are not intended to limit the present invention. As used herein, "and / or" includes any and all combinations of one or more of the associated listed items.

[0024] figure 1 It is a schematic flowchart of the self-learning method provided by the embodiment of the present invention. Such as figure 1 Shown, self-learning method of the present invention can comprise the steps:

[0025] Step S101: Obtain multiple self-learning current points of the pressure difference-cu...

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 present invention provides a self-learning method and system for the pressure difference-current characteristic of a current valve. The self-learning method is applied to the self-learning system, including: obtaining multiple self-learning current points of the pressure difference-current characteristic; Under the set working conditions, apply respective learning current points to the current valves; after a preset time, obtain the motor bus currents corresponding to the respective learning current points; calculate the corresponding first pressure difference according to the motor bus currents ; Obtain the second pressure difference corresponding to the respective learning current points according to the stored pressure difference-current characteristics; calculate the difference between the first pressure difference and the second pressure difference, and according to the difference , to adjust the stored pressure difference-current characteristics. The invention adjusts the pressure difference-current characteristics of the current valve through a self-learning method, thereby reducing the manufacturing process cost of the current valve while improving the braking accuracy of the electronic stability control system.

Description

technical field [0001] The invention belongs to the technical field of automobiles, and in particular relates to a self-learning method and system for current valve pressure difference-current characteristics. Background technique [0002] The electronic stability control system is a new type of active safety system for vehicles. It is a further expansion of the functions of the anti-lock braking system and traction control system of the vehicle. On this basis, the yaw rate sensor and lateral acceleration sensor are added when the vehicle is turning. And the steering wheel angle sensor, through the ECU to control the driving force and braking force of the front, rear, left and right wheels to ensure the stability of the vehicle. [0003] For electronic stability control systems, braking accuracy is a very important indicator. At present, the accuracy of the relationship between pressure difference and current is ensured mainly by improving the manufacturing process accuracy ...

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): B60W30/02B60W40/00B60W50/00B60T13/68
CPCB60T13/68B60W30/02B60W40/00B60W50/00B60W2050/0043
Inventor 朱心放刘倩施雯苗会彬刘海珍张万里李亮
Owner 上海拿森汽车电子有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products