nlba battery analyzer
Analyses battery test data to estimate capacity, state of health, and internal resistance for cells and packs, helping engineers compare performance.
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Informazioni su questo strumento
Data ingestion supports CSV or JSON formats with time-series voltage, current, and optional temperature. Default workflows perform coulomb counting for capacity, SoH calculation against rated capacity, and impedance-derived resistance when voltage response to current steps is available. Output can be exported as structured reports or data files for further analytics.
Beneficiaries include R&D battery researchers, manufacturing QC staff, and field technicians who require reproducible, auditable metrics and per-cell visibility to guide design choices and QA decisions. The solution is designed for cross-chemistry applicability, from lead-acid to lithium-ion, and integrates with standard testing workflows.
Core value lies in transparent, repeatable calculations, robust handling of data quality issues, and clear per-cell versus pack-level insights that accelerate qualification, aging studies, and performance comparisons.
Come usare
- Provide inputs by uploading a data file (CSV/JSON) with voltage and current time-series and optional temperature.
- Configure test settings including chemistry, rated_capacity, and cutoff_voltage.
- Run calculations to obtain capacity, SoH, and internal resistance.
- Review per-cell metrics and identify outliers or weak units.
- Export results to CSV/JSON or generate a summary report for records.
- Refer to flagged cells to guide further testing or replacement decisions.
Frequently Asked Questions
Trova risposte rapide
What data formats are supported?
Which chemistries are supported?
How is capacity calculated?
How is state of health defined?
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