Lithium-Ion Battery Aging and Defect Data for Solar Storage Manufacturing

200,956 data points support research into semi-automated quality management for lithium-ion battery manufacturing. The dataset includes battery aging data, such as voltage and temperature, alongside defect records per unit. It was analyzed to assess performance, identify quality trends, and evaluate improvements in manufacturing processes.

Use Cases

• Assessing battery performance based on voltage and temperature aging data
• Identifying quality trends in manufacturing from defect records per unit
• Evaluating improvements in manufacturing quality through digital data integration
• Researching semi-automation techniques for lithium-ion battery production

Strengths

• Contains 200,956 data points, providing a substantial basis for analysis
• Includes specific, described features: battery aging data (voltage, temperature) and defect records
• Cross-platform presence on figshare indicates recognized importance

Limitations

• Column names are unknown, limiting precise understanding of data structure
• Row count is unspecified, making dataset scale ambiguous
• Documentation is limited to a single descriptive paragraph

Provenance

Source

Robyn Cornelius

Collection Method

Likely gathered from manufacturing processes and quality control systems.

Freshness

Last updated on 2026-03-24