What the data for this category looks like
Production data for lithium-ion cell manufacturing comes from raw material batch ledgers, MES systems, slurry and coating testing equipment, dew point monitoring devices, formation and grading cabinets, and laboratory testing equipment. Daily production documents include batching records, coating and rolling parameter logs, winding or lamination operation records, liquid injection ledgers, formation and grading data, OCV and safety test reports. Data update cadence: batch-level documents are updated each time a batch of cells is produced, formation and grading data for each individual cell is generated in real time, and dew point data is updated every 15 seconds. Fields include slurry ratio, areal density, roll gap parameters, dew point value, cell capacity, internal resistance, and more. All fields must strictly correspond to the production process, with no redundancy or missing entries.
What constraints these characteristics impose on HTTP Interfaces and External Systems
Data sources for lithium-ion cell manufacturing are scattered, including multiple dedicated devices and intranet systems. Interfaces must adapt to different authentication protocols and data formats. Real-time generated formation and grading data and dew point data require interfaces with low-latency processing capabilities. Batch requests must support batch-level data synchronization. Data fields include high-precision physical quantities. Interface parameter validation must strictly match units and value ranges to prevent review failure due to incorrect data formats. Since errors in cell production have severe consequences, interfaces must support failure retries and idempotency handling to prevent production anomalies caused by duplicate submissions. Additionally, document update cadences vary across production stages, so interfaces must support both on-demand pull and real-time push modes.
How to set the configurations
| Configuration Item | Recommended Approach | Rationale |
|---|---|---|
Authorization | Bearer {internal system-specific API key} | Connect to intranet systems such as MES and formation and grading cabinets, to prevent unauthorized access to sensitive production data |
variables | Pass in {"batchCode": "", "dewPoint": "", "capacity": ""} | Bind core identifiers and key test data for cell batches, to ensure correct cross-review association |
responseData | Only return {"reviewPass": "bool", "errorDetail": "string"} | Only transmit necessary review results and error information, to reduce network transmission overhead |
| Maximum data per single request | 500 entries/request | Adapt to the typical data scale of a single batch of cells, to avoid request timeouts |
| Timeout period | 300 seconds | Adapt to the generation cycle of formation and grading data, to reserve sufficient interface processing time |
This configuration is based on FastGPT v4.17.0.
Three common configuration mistakes
- Symptom: The interface returns a 401 Unauthorized status code. Cause: The
Authorizationparameter is not configured correctly, and a valid internal system authentication key is not included, causing the interface to deny access. - Symptom: No review result for the corresponding batch is returned in
responseData. Cause: The correct batchCode field is not passed invariables, causing the interface to fail to associate production documents for the specified cell batch. - Symptom: A 504 status code is returned due to request timeout. Cause: The amount of data passed in a single request exceeds 500 entries, or the timeout period is set too short, failing to adapt to the processing cycle of cell production data.
How to confirm the configuration is complete
- Call the configured test interface, pass valid authentication information, and confirm that the returned status code is 200 with no 401 errors.
- Pass known compliant cell batch data, and verify that the reviewPass result returned in
responseDatamatches expectations. - Pass more than 500 entries of test data, confirm that the timeout period is sufficient, and no 504 errors occur.
- Check the interface logs, confirm that fields such as batchCode and dewPoint in
variablesare parsed correctly, and there are no abnormalities in data association.
The values provided are common starting points and should be measured against the reader's own samples.