Unlock instant, AI-driven research and patent intelligence for your innovation.

An energy-saving driving strategy optimization method based on discrete ant colony algorithm under timing conditions

A technology of ant colony algorithm and driving strategy, which is applied in calculation, calculation model, railway car body parts, etc.

Inactive Publication Date: 2020-06-16
CENT SOUTH UNIV
View PDF7 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Its purpose is to overcome the deficiencies of the existing technology, optimize the stability of the train energy-saving driving strategy under complex line conditions and when the driver's driving experience is insufficient, and at the same time reduce the error of the punctual rate of train arrival

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
  • An energy-saving driving strategy optimization method based on discrete ant colony algorithm under timing conditions
  • An energy-saving driving strategy optimization method based on discrete ant colony algorithm under timing conditions
  • An energy-saving driving strategy optimization method based on discrete ant colony algorithm under timing conditions

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0105] Below in conjunction with accompanying drawing and embodiment the present invention will be further described:

[0106] The invention provides an energy-saving driving strategy optimization method based on the discrete ant colony algorithm under timing conditions. Firstly, the running time of the train section is used as an algorithm running variable, and the mechanical model and kinematics model of the train are comprehensively considered when building the model, and variables are also considered To adapt to the ant colony algorithm, on this basis, the train running time is discretized and divided into several time periods. In each time period, the ant colony algorithm is used to select the working conditions according to the current conditions to determine the duration of each motion state and The conversion time of the motion state finally obtains a reasonable running speed time curve.

[0107] Described discrete ant colony algorithm model is:

[0108] During the mo...

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 method for realizing automatic driving considering optimal energy saving of a train in the case of guaranteeing that the train arrives a station on schedule. The method for realizing automatic driving considering optimal energy saving of the train in the case of guaranteeing that the train arrives the station on schedule is applied to determining and traction calculationof a railway energy-saving driving strategy. On the basis of a determined time (a timing condition) between a starting point and an ending point of the train, a traction calculation model, which comprehensively considers train motion mechanical model characteristics and kinematics characteristics, is established by using an ant colony algorithm; on the basis of this, a train operation time is discretized; with train operation energy saving as a target, a working condition is automatically selected through the calculation of the ant colony algorithm according to a current train operation condition and a line condition within each time section; and therefore, automatic driving with optimal energy saving is realized.

Description

technical field [0001] The invention relates to the field of railway traction calculation, in particular to an energy-saving driving strategy optimization method based on discrete ant colony algorithm under timing conditions. Background technique [0002] According to the main technical standards and evaluation system of railways, the energy consumption expenditure in railway transportation has a significant impact on the economic indicators for evaluating railway operations. Taking reasonable and effective manipulation methods to reduce locomotive traction energy consumption during train operation (this energy consumption accounts for 60%-70% of the total energy of railway transportation) has a significant effect on reducing energy consumption of railway transportation. The research on train energy saving needs to ensure the safety, stability and punctuality of train operation, and the existing methods have certain errors in the punctuality of train arrival, which is a grea...

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): B61L27/00G06N3/00
CPCB61L27/00G06N3/006
Inventor 缪鹍曹宇李琛段海兰王超超王志强况卫冯倩
Owner CENT SOUTH UNIV