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

Geographical ramp self-learning method and system for vehicle

A self-learning method and ramp technology, which are applied in the field of vehicle geo-ramp self-learning methods and systems, can solve the problems of too large stored data and inability to use in-vehicle embedded devices, and achieve consistency and increase driving safety. Effect

Active Publication Date: 2018-10-30
XIAMEN YAXON NETWORKS CO LTD
View PDF16 Cites 13 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Since the ramp data collection and storage is used in the vehicle terminal, it faces the problem of data storage. If the data on every point on the road data is directly stored, the stored data will be too large to be stored in the vehicle embedded device. use

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
  • Geographical ramp self-learning method and system for vehicle
  • Geographical ramp self-learning method and system for vehicle
  • Geographical ramp self-learning method and system for vehicle

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0045] In order to make the object, technical solution and advantages of the present invention clearer, the embodiments of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0046] The execution subject of the method of this embodiment is a vehicle-mounted terminal, and the vehicle-mounted terminal can install the execution program and / or database program of the method of this embodiment, which is not specifically limited in the present invention.

[0047] It should be noted that the step identifications involved in the claims of the present application and the description are only for making the document look clearer, and the order of the steps can be adjusted accordingly according to requirements during specific implementation.

[0048] see figure 1 Shown, the geographic slope self-learning method of a kind of vehicle of the present invention comprises:

[0049] Step 1, obtain road information and slope value of ...

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

Provided are a geographic ramp self-learning method and system for a vehicle. The method comprises the steps of acquiring road information and a slope value of a current driving position of the vehicle in real time; determining whether or not the vehicle travels on a slope road segment according to a gradient value, and if so, caching slope values and road information of respective ramp points; according to the slope values and the road information cached, fitting a quadratic curve y=ax2+bx+c; determining whether or not historical ramp data of the same ramp exists in a database, and if not, storing current ramp data; if yes, respectively comparing fitting coefficients a, b, and c with the corresponding fitting coefficients in the historical ramp data, and judging whether or not the ramp data is updated based on a comparison result. The ramp self-learning method and system can acquire the road information and the slope value of the current driving position of the vehicle in real time, learn and record the geographical ramp on the road with small storage space, have certain fault tolerance, can automatically conduct correction after multiple driving, and maintain the consistency of the ramp data with actual road conditions.

Description

technical field [0001] The invention relates to the field of vehicle running slope measurement and storage, in particular to a vehicle geographical slope self-learning method and system. Background technique [0002] With the rapid development of cities and the continuous increase in the number of cars, the national traffic network is also constantly expanding and extending. As a common road attribute, ramps are scattered in the traffic network, which has a great impact on fuel consumption and safety issues during vehicle driving. If you can identify the slopes on the road ahead, you can not only provide early warning to improve driving safety, but also adjust and control the power system of the vehicle according to different uphill and downhill scenarios ahead, so as to make the fuel consumption of the vehicle more economical. fuel-saving purpose. The fuel-saving optimization control combined with the slope ahead includes, for example, reducing the accelerator to slightly...

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 Applications(China)
IPC IPC(8): G08G1/0962G08G1/0967B60W40/06
CPCB60W40/06G08G1/09626G08G1/0967
Inventor 涂岩恺季刚曾奉尧周贺杰
Owner XIAMEN YAXON NETWORKS CO LTD
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