Predictive Maintenance in the Framework of Lithium-ion Battery Cell Manufacturing
Master Thesis by Markus Kreilinger
The increase in battery production, including numerous “gigafactories”, implies inevitable improvement in manufacturing efficiency and productivity. The need for reduced downtime and maintenance expenses is a critical aspect for manufacturers in a competitive market.
Predictive maintenance is the key for enhanced condition monitoring and fault prediction of equipment. This allows maintenance schedule optimization and zero failure manufacturing.
This whitepaper investigates the potentials and trends of predictive maintenance strategies, based on cell component production of lithium-ion battery cells in the automotive sector.
You can download the full whitepaper here