Lithium Battery Industry
Consulting
Lithium Battery Industry
Consulting
Chief consultant Benjamin Li, global technical consultant,
German Ph.D. on engineering and US Ph.D. on software, has more
than 30 years of practical work experience in the front line
of factories in Europe, America and Asia. So far, it has
developed and completed more than 100 projects, and has
completed more than 100 projects with Metal Pass US
colleagues.
If the lithium battery burr exceeds the allowable length, it
will lead to lithium battery fire, such as the previous
Samsung battery fire and spontaneous combustion during the use
of electric vehicles. It is a malignant accident and must be
solved.
Through analyzing a series of influencing factors, this project
finds out the model describing the burr length of lithium
battery, and establishes the burr defect early warning system.
In the production process, when the burr level reaches 80% of
the maximum allowable level, an early warning will be started,
and when it reaches 90%, a strong early warning will be given.
This ratio is adjustable in the software.
This is one of the key projects of lithium battery Smart Manufacturing of a large electric vehicle company. Smart Manufacturing requires the intelligence of the system, which
is usually predicted by the model, such as the burr length
here.
Among the many measures that affect and control the length of
slitting burr of lithium battery, controlling the service life
of the tool is the key. In production on site, when a knife is
used for about a week, it must be replaced to continue
grinding. Since the quality of each knife is difficult to be
exactly the same, the project wants to determine the service
life of each knife through the key factors such as the initial
knife notch value and the defect quality of the incoming pole
piece in the slitting process.
Due to some problems in the field data structure, for example,
the tool number does not exist in the MES database. Therefore,
in the time period of obtaining the initial time and end time
of a knife, it usually has to be obtained indirectly. The roll
numbers of all rolls cut by the knife are currently obtained
through the database in the film detector.
So far, it has signed three technical contracts related to
lithium batteries with the company. The team is not only the
supplier of lithium battery / electric vehicle of the company,
but also the supplier of cloud rail technology of the company.
Level 2
control of coating
thickness and density of
Metal Pass lithium battery
Technical examples.
Metal Pass
burr defect model has
extremely high accuracy
(a case of a large
Lithium Battery
factory).
Lithium Battery Manufacturing
Optimization Series
Planning &
Consulting
Biz discuss, Planning, Maturity,
Consulting Area,
Predict Maint.
Defect
Early Warning, Models, Manufacturing, Li-Battery, Steel
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