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FAST Screening Library & RAPID Multi-Factory Telemetry

Battery formation analytics, real-time Gigafactory dashboards, and 4680 cell API recipe systems at Tesla.

FIG. 1.1 — 4680 FORMATION SCREENING (FAST) & MULTI-GIGAFACTORY TELEMETRY (RAPID) AT TESLA GFTX · BERLIN · MILMONT 4680C/D Cell Cyclers Temp · pH · Current API CALL & SYNC Recipe Registry R&D Formation Trials FAST // PYTHON LIBRARY Formation Screening Deterministic Trial Conclusion RAPID // LIVE DASHBOARD Line Control & EoL Defect & Vendor Scoring GEN 4 & 5 MODELS Cell Simulation Model 3 / Model Y Cross-Vendor Analytics

Context & Engineering Scope

Production data engineering and analytical tools built at Tesla to evaluate new development recipes during battery formation, stream real-time factory telemetry to AWS, and detect End-of-Line (EoL) cell defects.

Evaluating experimental battery formation recipes and managing live production lines across Fremont, Berlin, and Austin required deterministic screening tools, real-time telemetry visibility, and automated recipe synchronization.

Methodology & System Design

  1. 01. FAST (Formation Analytics Screening Toolbox): Developed a Python library enabling data scientists to analyze new development recipes during formation and reach deterministic conclusions on trial performance.
  2. 02. RAPID Real-Time Dashboard: Developed and maintained live internal dashboards for Berlin and Austin Gigafactory sites so process engineers could monitor real-time data and adjust production lines.
  3. 03. 4680 API Call-and-Sync Recipe Systems: Engineered API call-and-sync recipe systems for trial and testing batteries, increasing R&D output for 4680 battery cells.
  4. 04. Milmont AWS Streams, EoL Defect Detection & Gen 4/5 Models: Implemented temperature, pH, and current data streams for the Milmont factory into AWS; built proprietary Generation 4 & 5 ML models simulating Model Y and Model 3 batteries across vendors; and assisted automated early defect detection during EoL testing.

Key Results

  • Enabled deterministic pass/fail trial evaluations for battery formation development recipes through the FAST library.
  • Increased R&D trial throughput for 4680 battery cells with automated API recipe synchronization.
  • Defined vendor scoring parameters for business analytics teams using End-of-Line defect detection metrics.