Battery management and control method, device and equipment based on graph theory and medium

A technology of battery tube and graph theory, applied in the field of battery management and control based on graph theory, can solve the problems of full charge, difficult battery cells/modules, etc., and achieve the effect of improving the efficiency of energy management

Pending Publication Date: 2022-04-12
STATE GRID BEIJING ELECTRIC POWER +2
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide a battery management and control method, device, equipment and medium based on graph theory, so as to solve the problem that it is difficult to make all battery cells / modules Fully charged technical issues

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 management and control method, device and equipment based on graph theory and medium
  • Battery management and control method, device and equipment based on graph theory and medium
  • Battery management and control method, device and equipment based on graph theory and medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0040] Such as Figure 1-2 As shown, a battery control method based on graph theory includes the following steps:

[0041] S1. Based on the graph theory method, the connection relationship and energy path characteristics of each battery unit in the target battery system are mathematically abstracted, and the battery model G=(P, ε, ω) is established. The graph theory algorithm of this algorithm consists of vertices and edge sets , Weight composition. The vertex is the battery cell or battery module containing each independent control function; the edge set represents the connection relationship of the battery cells formed under different independent control logics; the weight is the feasibility of the battery system under each edge set scheme;

[0042] The purpose of establishing a battery model is to obtain information of higher frequency and resolution, and to represent the energy flow at the same time;

[0043] S2. According to the battery model G=(P, ε, ω), obtain the ver...

Embodiment 2

[0055] Such as image 3 As shown, a graph theory-based battery management and control device is based on a graph theory-based battery management and control method in Embodiment 1, including:

[0056] Battery model building module: used to mathematically abstract the connection relationship and energy path characteristics of each battery unit in the target battery system based on the graph theory method, and establish a battery model;

[0057] Vertex set and edge set acquisition module: used to acquire vertex set and edge set according to the battery model;

[0058] Weight calculation module: used to calculate the weight of each energy path in the edge set by using the battery energy path optimization algorithm according to the vertex set and the edge set to obtain the weight;

[0059] Optimal energy path acquisition module: used to sort the weights to obtain the optimal energy path.

Embodiment 3

[0061] The present invention also provides a computer device, including a memory, a processor, and a computer program stored in the memory and operable on the processor. When the processor executes the computer program, the method in Embodiment 1 is realized. A battery management and control method based on graph theory.

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 belongs to the technical field of battery management, and particularly discloses a battery management and control method and device based on a graph theory, equipment and a medium. Comprising the following steps: S1, based on a graph theory method, carrying out mathematical abstraction on a connection relation and an energy path characteristic of each battery unit in a target battery system, and establishing a battery model; s2, acquiring a vertex set and an edge set according to the battery model; the vertex set is each battery unit with an independent control function; the side set is a connection relation of the battery units formed under the same independent control logic, namely an energy path from the initial battery unit to the terminal battery unit; s3, according to the vertex set and the edge set, calculating the weight of each energy path in the edge set by adopting a battery energy path optimization algorithm to obtain the weight; and S4, sorting weight values in the weights so as to obtain an optimal energy path. According to the invention, the battery system is regarded as an energy path network by adopting a graph theory method, and safe and efficient use of the battery is realized at the same time.

Description

technical field [0001] The invention belongs to the technical field of battery management, and in particular relates to a battery management and control method, device, equipment and medium based on graph theory. Background technique [0002] With the breakthrough of energy storage battery material technology, the application of new energy has ushered in great development. The energy storage battery system is an important part of the new energy application. As the core component of the energy storage system, the battery is the main detection object and control of the entire energy storage system. Target. The main electrical performance indicators and control basis of the battery are voltage, current and residual energy. The size of the three will fluctuate with the state of charge and discharge and have a correlation. When charging, the voltage and residual energy will continue to increase throughout the process, and the voltage at a certain moment is proportional to the cu...

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): G06F30/398G06F30/27H02J7/00G06F119/04
Inventor 齐小伟陈秀海李昕李永勋陈庆来邹乐李锦川彭博刘帅陈佳博李瀛澜陈一凡蒋杰慈松王运方周杨林陈悦王子毅陈爱琢
Owner STATE GRID BEIJING ELECTRIC POWER
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