Process Document and Abnormal Report Drafting for Lithium-Ion Cell Manufacturing: Source Citation and Traceability

This category covers full process records for electrode, assembly, formation, and quality departments of power, energy storage, and consumer battery

What Data for This Category Looks Like

This category covers full process records for electrode, assembly, formation, and quality departments of power, energy storage, and consumer battery companies. Daily documents include batching records, coating and rolling parameters, winding or lamination records, liquid injection records, formation and grading data, OCV and safety test reports. Data sources include raw material batch ledgers, MES systems, slurry and coating testing equipment, dew point monitoring devices, formation and grading cabinets, and laboratory test data. Data updates occur per batch, per individual cell, or in real time. Single records include fields such as batch number, process name, parameter value, test result, associated raw material batch number, and timestamp.

Constraints Imposed by These Characteristics on Source Citation and Traceability

Full process real-time or batch-level data updates require traceability systems to support high-frequency incremental indexing. This prevents outdated information from being referenced in abnormal reports due to data lag. Multi-source data must be linked via a unified batch number field. Otherwise, abnormal issues cannot be accurately tied to corresponding raw materials, processes, and test results. Electrochemical systems have high sensitivity to moisture, cleanliness, and batch consistency. Referenced parameters must be precise to a single batch or individual cell. Fuzzy interval data cannot be used. A large volume of real-time data from formation and grading links requires traceability systems to quickly locate data for a specified batch. This avoids performance losses from full-scale retrieval.

Configuration Settings

Configuration settings are based on FastGPT v4.17.0.

Configuration ItemRecommended SettingRationale
quoteMaxToken800–1200 tokenLithium-ion cell process documents have long individual content. This range covers complete process parameters and test results, and avoids truncating critical traceability information
responseDataReturn original source path and timestampTraceability information such as raw material batches, MES records, and testing equipment IDs must be bound. This meets compliance traceability requirements for abnormal reports
detailEnable full field returnProcess documents require precise parameters with units, such as coating areal density and dew point temperature. Only returning summaries cannot support accurate traceability
Single search limitTop 6 recall resultsA single battery batch is linked to numerous process records and test data entries. This range covers sufficient associated information to complete full traceability
Maximum context4000–5000 charactersProcess documents and abnormal reports require integration of multi-process data. Exceeding this range will exceed model context limits and affect generation quality

Three Common Configuration Mistakes

  • Abnormal reports generated reference variables that are not correctly linked to knowledge base data. Cause: Batch number is not used as the core retrieval variable. This prevents the system from matching process parameters for the corresponding process, resulting in empty fields.
  • The number of search recall results does not match the configured single search limit, resulting in missing results. Cause: The quoteMaxToken parameter is not set correctly. This causes some long-text process records to be truncated and cannot be recalled normally.
  • Knowledge base index disk space usage exceeds expectations. Cause: Indexes are not updated incrementally by batch. Duplicate original files, split chunks, and embedding vectors are retained. Expired historical batch data is not cleaned regularly.

How to Verify Correct Configuration

  • Generate an abnormal report for a single battery batch. Confirm that referenced content includes traceability fields such as raw material batch number and testing equipment ID, plus the original source path.
  • Retrieve battery data for a specified batch. Confirm that the number of recall results matches the configured single search limit.
  • View the knowledge base index storage structure. Confirm that only currently valid batches retain original files, split chunks, and embedding vectors.
  • Adjust the quoteMaxToken parameter. Verify that generated content retains critical process parameters completely, with no forced truncation.

The values provided are common starting points and should be measured against the reader's own samples.