Road slope real-time estimation method for automobile

A technology of road slope and automobile, applied in the direction of calculation, measurement of inclination, computer parts, etc., can solve the problems of high cost, large amount of calibration, complex and robust model, etc.

Active Publication Date: 2019-06-14
JILIN UNIV
View PDF14 Cites 7 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The present invention aims to solve the shortcomings of the prior art that there are many calibration quantities, greatly affected by vehicle acceleration and deceleration, many sensors are used, high cos

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
  • Road slope real-time estimation method for automobile
  • Road slope real-time estimation method for automobile
  • Road slope real-time estimation method for automobile

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0112] The present invention is described in detail below in conjunction with accompanying drawing:

[0113] refer to figure 1, a kind of automobile road gradient real-time estimation method described in the present invention is divided into three major components, is respectively initialization part, preprocessing part, main processing part, and initialization is zero drift of diagonal velocity and initialization of local gravitational acceleration. The preprocessing part is to carry out threshold limit, slope limit, low-pass filter, average filter and preliminary correction on the signal. The main processing part is based on the Kalman filter algorithm to perform data fusion on the signal, in which the measured value is obtained by correcting the acceleration and slope limit, and the weighting coefficient is obtained by both the measured value and the prior estimation, and obtained after data fusion The initial car road slope is processed by slope correction and slope zero ...

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 road slope real-time estimation method for an automobile, which aims to solve the shortcomings of the prior art, such as many quantities of calibration, heavy influence of automobile acceleration and deceleration, large use of sensors, high cost, much dependence on automobile parameters, complex models and poor robustness. The real-time estimation method comprises the following steps: 1, initializing signal, initializing sensors after each power supply, and correcting the original errors of data; 2, pre-processing input signal, including 1) threshold limit, 2) slope limit, 3) low-pass filtering and 4) sliding average filtering; 3, correcting longitudinal acceleration signal; 4, based on Kalman filtering algorithm, calculating the parameters needed for weighted fusion and conducting data fusion by determining the reliable degree of acceleration signals and the situation of the automobile going up and down slope; and 5, correcting the slope and outputting the optimal estimate of the road slope.

Description

technical field [0001] The invention relates to a road gradient recognition method for automobiles, in particular to a method for real-time estimation of road gradients for automobiles by using an accelerometer and a gyroscope. Background technique [0002] Road slope is particularly important in increasingly automated cars, and plays an important role in the convenience and comfort of the car. For example, on heavy-duty trucks with AMT, especially on rugged mountain roads, the gears can be automatically adjusted according to the change of the slope, which greatly reduces the burden on the driver and at the same time improves the fuel economy of the car. . [0003] The general idea of ​​slope recognition uses the acceleration collected by the accelerometer and the angular velocity collected by the gyroscope for data fusion. Since the value collected by the accelerometer in the longitudinal direction is equal to the sum of the acceleration of the car itself and the gradient ...

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
IPC IPC(8): G01C9/00G06K9/00G06K9/62B60W40/06
Inventor 曾小华钱琦峰宋大凤李广含谷京哲苑卫松崔臣张轩铭
Owner JILIN UNIV
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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap