Manufacturing
Pages 121–135 (15 pages)
Text on page 134
Manufacturing
Field operation
Second Life
Simulation of Battery formation post battery assembly
Finding co-relational models among production process and battery capacity
Remaining useful Life (RUL prediction
Precise in-field alerts
Data Feedback loop with edge devices (BMS optimization)
Use Cases
Material and environmental evaluation
Virtual simulation of lifetime testing
Thermal and battery sizing
Safety evaluation
Remaining useful Life (RUL prediction
Precise in-field alerts
Data Feedback loop to design and edge devices (BMS optimization)
Sample batch production data for similar chemistries, materials and coating data
Manufacturing execution systems (MES)
BMS, Drivetrain, synthetic data generators
Data Source
Battery Archive
Bespoke data pipelines
Battery Data Genome
Voltaiq Community
Anonymized full / partial lifecycle data
Knowledge of 2nd life application
Simulation with digital twin methodology, faster Go-to-market
“Battery formation” is the biggest bottleneck
Process improvement of complex electrode manufacturing
Increased energy efficiency
Decreased energy costs
Improved material recovery
Regulatory compliance
Data normalization over vast pool
Low ROI on continuous learning due to rapid change in battery technology architectures
Most data collection happens at operation time
Cross industry standard process (CRISP) and data mining is not very common among manufacturers
Connectivity, data formats, OTA channels
Data platform value over longer periods is not obvious
Introduction of tech in 2nd life tooling process
Not all batteries generate / collect data
Manufacturers / researchers
Manufacturers
OEMs / consumers/ Insurance operators
Manufacturers / recyclers / OEMs
Impact
Challenges Beneficiaries 134
Industry: Manufacturing
Volta Foundation
Extracted from the PDF; charts and images may read imperfectly.
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