πŸ“‹ Case Study

Battery Module Assembly Line Thermal Runaway Prevention

Thermal runaway propagation risk during cell handling; existing fire suppression lacked scenario-specific activation logic

πŸ—οΈ Project Overview

High-voltage lithium-ion battery pack assembly with ultrasonic welding and electrolyte filling

🎯 Challenge

Thermal runaway propagation risk during cell handling; existing fire suppression lacked scenario-specific activation logic

πŸ”§ Design Approach

LOPA-defined IPL stack: IR camera hotspot detection (auto-stop), localized COβ‚‚ nozzle with <2s discharge latency, explosion venting panel, and automated cell quarantine protocol

πŸ“ Design Diagram

Battery Module Assembly Line Thermal Runaway Prevention Cell Handling Zone Cell Station IR PFD = 0.03 RRF = 95 +18% margin Quarantine IR Detection COβ‚‚ Discharge Vent Panel Quarantine Thermal Runaway Propagation Risk

AI-generated project design illustration

πŸ“ Key Calculations

Hotspot Detection PFD

False negative rate from validation dataset
Result: 0.03
Primary IPL with RRF = 33

COβ‚‚ Discharge Latency RRF

1 / (probability of delay > 2s)
Result: 95
Time-critical IPL requiring hardware-software co-validation

Vent Panel Burst Pressure Margin

MAOP Γ— 1.25 βˆ’ design burst pressure
Result: +18%
Confirms reliable venting before containment failure

πŸ“Š Results

Runaway propagation probability reduced by 99.2%; UL 9540A validation passed; enabled Class 10k cleanroom certification

πŸ’‘ Lessons Learned

  • β€’Time-dependent IPLs (e.g., suppression latency) require empirical validation under worst-case thermal profiles
  • β€’Explosion venting must be modeled with dynamic pressure curvesβ€”not static burst ratingsβ€”to qualify as IPL

βœ… Key Takeaways

  • 1Time-dependent IPLs (e.g., suppression latency) require empirical validation under worst-case thermal profiles
  • 2Explosion venting must be modeled with dynamic pressure curvesβ€”not static burst ratingsβ€”to qualify as IPL