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

Battery cost and charging cost optimization method and application

A technology of cost optimization and battery remaining power, which is applied in the field of system optimization, can solve the problems of lack of charging cost optimization research, and does not consider the impact of the total cost of battery capacity, etc., to reduce charging costs, accurate battery remaining power, and reduce battery costs Effect

Active Publication Date: 2022-04-22
GUANGDONG UNIV OF TECH
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In terms of wireless charging cost optimization, the current research is mainly aimed at the optimization of wireless charging track and battery cost. The Korea Advanced Institute of Science and Technology has successively proposed the charging track cost and battery cost for single-route and multi-route mixed wireless charging buses. However, there is no detailed explanation of the energy consumption model in the above research methods, and there is a lack of research on the optimization of charging costs; at the same time, although there are many studies on orderly charging strategies guided by time-of-use electricity prices, the charging model Both are "plug-in" charging, need to stop service when charging, and do not consider the impact of battery capacity on the total cost

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
  • Battery cost and charging cost optimization method and application
  • Battery cost and charging cost optimization method and application
  • Battery cost and charging cost optimization method and application

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0042] The application will be further described below in conjunction with the accompanying drawings.

[0043] The present invention provides an embodiment:

[0044] Such as Figure 1~2 , when the battery cost and charging cost optimization method described in the present invention is applied in the field of bus wireless charging, the specific steps are as follows:

[0045] Step 1: Build an optimization model

[0046] Step 1.1 Establish the optimization objective function

[0047] The battery cost function is as follows:

[0048] W e =k e E. 0

[0049] W in the above formula e is the battery cost, k e is the unit battery cost coefficient, E 0 is the battery capacity.

[0050] The charging cost function is as follows:

[0051]

[0052] W in the above formula c for charging cost, is the start time of the i-th charge, The end time of the i-th charge. y(t) is the electricity price corresponding to different charging moments, p c is the charging power, and n i...

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

In order to solve the deficiencies of the prior art, the present invention provides a battery cost and charging cost optimization method and application, including: constructing an optimization model, establishing an objective function and constraint conditions; Consumption model; use the particle swarm algorithm with linearly decreasing inertia weight, use speed, acceleration data and actual operation scene to set parameters, combine the energy consumption model to obtain energy consumption; use the optimization model to optimize the energy consumption, set The time-of-use electricity price is used as a parameter, and the charging cost is used as a fitness function to optimize the solution to obtain an optimized charging strategy and charging cost. Then with the total cost as the objective function, the optimized battery cost and the total cost are obtained. The invention uses the wireless charging technology, uses the time-of-use electricity price to guide the charging, and builds a detailed energy consumption model to make the remaining battery power more accurate, and also improves the accuracy of the optimization result.

Description

technical field [0001] The invention relates to the technical field of system optimization, in particular to a battery cost and charging cost optimization method and application. Background technique [0002] Traditional electric vehicles mostly use "plug-in" charging, and wireless charging electric vehicles have attracted much attention in recent years. The application of wireless charging technology in electric vehicles is mainly divided into two modes: dynamic charging and static charging. The static charging mode wirelessly charges the electric vehicle when it is parked in the parking space. The dynamic charging mode is the energy transfer between the electric vehicle and the charging track buried under the road without physical connection during driving, which can effectively eliminate battery anxiety and reduce battery specifications during driving. The cost of wireless charging electric buses mainly includes: charging track cost, battery cost, and charging cost. ...

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): G06Q10/04G06Q30/02G06Q50/06G06Q50/26B60L53/64G06N3/00
CPCG06Q10/04G06Q30/0206G06Q50/06G06Q50/26G06N3/006B60L53/64Y02T10/70Y02T10/7072Y02T90/12
Inventor 曾伟良刘盼龙廖立邱高阳黄永慧孙为军
Owner GUANGDONG 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