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Method for solving product assembly sequence planning problem on the basis of immune particle swarm algorithm

A technology for assembling sequences and immune particles, applied in computing, computing models, special data processing applications, etc.

Inactive Publication Date: 2015-11-04
TONGJI UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0027] The object of the present invention is to provide a method based on the immune particle swarm algorithm to solve the lithium-ion battery assembly sequence planning problem

Method used

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  • Method for solving product assembly sequence planning problem on the basis of immune particle swarm algorithm
  • Method for solving product assembly sequence planning problem on the basis of immune particle swarm algorithm
  • Method for solving product assembly sequence planning problem on the basis of immune particle swarm algorithm

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Embodiment Construction

[0168] The present invention will be further described below in conjunction with the embodiments shown in the accompanying drawings.

[0169] The following combination image 3 A lithium-ion power battery pack is shown as an application test of the algorithm

[0170] With the help of MATLAB software, product A ( image 3 )taking the test.

[0171] 1. Naming of parts:

[0172] Product A is a lithium-ion battery containing 71 elements ( image 3 ), which are listed in Table 1.

[0173] Table 1 Parts List of Product A

[0174] Part Number

Part Name

Part Number

part name

1.1～1.2

Platen

8.1～8.4

connecting plate

2.1～2.2

nut

9.1～9.6

insulation cover

3.1～3.2

screw

10.1～10.6

battery unit

4.1～4.4

connecting plate

11.1～11.7

cooling plate

5.1～5.16

bolt

12.1～12.6

Insulation base

6.1～6.5

insulating cap

13.1～13.2

side panel

7.1～7.5

Current ...

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Abstract

The invention discloses a method for solving a product assembly sequence planning problem on the basis of an immune particle swarm algorithm. The method comprises the setting of the naming rules and algorithms of parts and specifically comprises the following steps: firstly, setting the naming rule of each part, and then, combining an immune algorithm with particle swarm optimization through two self-defining functions to solve a product assembly sequence problem. The method carries out serial mixing on two algorithms including the artificial immune algorithm and the particle swarm optimization, establishes a novel mixed algorithm which can combine the advantages of the two algorithms and overcome the respective defects of the two algorithms and can be used for solving the product assembly sequence planning problem. For example, the method can be used for solving the assembly sequence planning problem of lithium ion batteries.

Description

technical field [0001] The invention belongs to the fields of digital products, concurrent engineering, virtual manufacturing, etc., and relates to a method for solving the problem of product assembly sequence planning, especially a method for solving the problem of lithium ion battery assembly sequence planning. Background technique [0002] The assembly sequence of mechanical products directly affects product quality and cost, and assembly sequence planning is an important part of product design. In order to solve the assembly sequence planning problem of a considerable number of the same kind of parts in the product, such as the single combination assembly problem of lithium-ion batteries. [0003] Lithium batteries first appeared in 1958 and entered practical use in the 1970s. Recently, lithium-ion batteries have begun to develop into power batteries. Because the rapid development of fuel vehicles has brought about two major problems: increasing fuel consumption, decre...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50G06N3/00
Inventor 刘海江张含叶李玲玉
Owner TONGJI UNIV
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