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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À propos de cet outil
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.
Comment utiliser
- 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
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What data formats are supported?
Which chemistries are supported?
How is capacity calculated?
How is state of health defined?
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