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Sixteen Sets of PPT Explanations On Lithium Battery Manufacturing Optimization


Sixteen (16) sets of PPT have been developed, each contains 40-50 pages of PPT, totally at least 550 page of PPT. They are developed based on the Lithium Battery projects completed in recent years. It was also on the purpose of the manufacturing training. As was mentioned, even before the onsite projects, we have completed more than 100 lithium battery manufacturing related models!

Sixteen Sets of PPTs on Lithium Battery Manufacturing Optimization

Developments on Lithium Battery manufacturing started 10 years ago. In the very early stage, process models for Lithium Battery production were developed, as showed in the the 1st three sets of PPT. Later, major developments were developed based on onsite projects, among them some were based on contracts signed.

In the following table, development based on onsite projects are listed from "1." to "13.". Certain quality of data is required. With progress of technical development, especially the improvement of data quality, more and more production factories turn from "unqualified" into "qualified".

No.

PPT Set Name

Pages

19

Power Demand Models in Lithium Battery Electrode Manufacturing

25

20

Models in Lithium Battery Electrode Manufacturing

28

21

Defect Models in Lithium Battery Electrode Manufacturing

27

60

1. Tiannuo: Smart Manufacturing of Optical Thin Films

7

61

2. Development of Over 100 Production Process Models For Lithium Battery Cell Materials

19

62

3. BYD Project Phase I – Development of Cell Quality Models and Model Validation With Onsite Data Collection

37

63

4. Development of BYD Online Models and Soft Censoring Technology

31

64

5. BYD Model Software Development Including Burr Length and Knife Notch Prediction Models for Defect Warning

30

65

6. BYD Model Software Project Development Stages Tracking

28

66

7. Interface Design of Electrode Slice Cutting Software for BYD Lithium Battery Manufacturing

47

67

8. Software Interface of BYD Project Phase II

29

68

9. Analysis of The Geometric Shapes of The Knife Notches and The Basis of Soft Sensing

29

69

10. BYD Knife Notch Detection/Measuring System (Hardware+ Software)

31

70

11. Knife Tool Management System Architecture

17

71

12. Development & Optimization of Geesun Lithium Battery Lamination System and Winding Equipment

22

82

13. Diagnosis Optimization of Lithium Battery Production Based On MES Data

31

 Table 1: Sixteen sets of PPTs with pages of PPT contained in each set
 

 Content explanation

Each of the above sets of PPTs includes 4-5 groups (the fifth group of most PPTs is used for the discussion of the lecture). Although there are few groups in some PPTs, there are many specific work and contents. For example, the group 60, Tiannuo optical film intelligent manufacturing, is a summary of a series of work, including having a common R & D contract. The manufacturer has purchased mechanical equipment and basic automation system (primary system) from the United States, and we provide model and logic system (Level 2 system). The coating of optical film and lithium battery electrode belongs to the same technology, which requires the consistency of coating thickness / density, so it is included in this category; But the similarity was avoided.

Number

PPT Set Name

19

Technical background, power and energy demand of pole piece production, power and energy model, resource experience

20

Technical background, pole piece convexity model, pole piece thickness model, temperature model

21

Industry background, defect model, defect optimization, project value

60

Technical background

61

Technical background, lithium battery cell defect model

62

Technical background, model theory research, technical introduction, software function

63

Technical background, soft sensing technology, development stage, future application

64

Technical background, technical overview, function and interface, project value

65

Background, function, acceptance and effect of installation

66

Software forecasting, production optimization, model self-study, setting management

67

Burr system interface preview, burr system interface Preview 1, burr system interface preview 2, tool management system

68

Measurement method, model establishment, model self-study, scheme value

69

Technical background, measurement method, system development, achievement display

70

Technical background, key areas, tool management interface

71

Technical background, Winder equipment software

82

Technical background, diagnosis optimization, field examples, MES data platform

 Table 2: Name of each section with most PPTs containing 5 sections
 

Lithium Battery Manufacturing Optimization Series

Defect Warning System Series
Development case of lithium battery defect early warning system
Function and application of defect early warning system products
Customer requirements of defect early warning system
Technical consultation of defect data based on Prediction
Production process optimization based on defect early warning
Introduction to defect early warning system technology

Project Cases

   Summary, Key Projs, Model Projs, Rolling Mills
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Intelli Equip., New Level 2, Li-Batt

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