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
Model
System,
Intelli Equip.,
New Level 2,
Li-Batt
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