Tuesday, February 10, 2026

๐Ÿ”‹ Dynamic Ejection Phenomenon and Pressure-Driven Velocity Modeling in Thermal Runaway of High-Capacity NCM523 Lithium-Ion Batteries

 

๐Ÿ”‹ Dynamic Ejection Phenomenon and Pressure-Driven Velocity Modeling in Thermal Runaway of High-Capacity NCM523 Lithium-Ion Batteries

Advancing Safety Design and Fire Accident Investigation

Lithium-ion batteries power modern life — from electric vehicles ๐Ÿš— to grid storage systems ⚡ and portable electronics ๐Ÿ“ฑ. Among them, NCM523 (Nickel-Cobalt-Manganese 5-2-3) batteries are widely used due to their high energy density and performance balance. However, as capacity increases, so does the risk of thermal runaway, a hazardous failure event that can trigger fires, explosions, and high-velocity material ejection.

Understanding the dynamic ejection phenomenon and modeling the velocity driven by internal pressure buildup are critical steps toward improving battery safety and strengthening fire accident investigations.

๐Ÿ”ฅ What is Thermal Runaway?

Thermal runaway occurs when a battery experiences an uncontrollable temperature rise due to internal chemical reactions.

Key Triggers:

  • ๐Ÿ”Œ Overcharging

  • ⚡ Internal short circuits

  • ๐Ÿ”ฅ External heating

  • ๐Ÿงช Mechanical damage

During this process, exothermic reactions rapidly increase internal temperature and pressure, often leading to:

  • Gas generation ๐Ÿ’จ

  • Casing rupture ๐Ÿ’ฅ

  • Flame jet release ๐Ÿ”ฅ

  • Fragment ejection ๐Ÿš€

๐Ÿ’จ The Dynamic Ejection Phenomenon

One of the most dangerous aspects of thermal runaway is the high-speed ejection of battery materials.

What Happens Internally?

As temperature rises:

  • Electrolyte decomposition produces flammable gases

  • Cathode materials release oxygen

  • Internal pressure increases dramatically

  • The casing fails at weak points

When rupture occurs, the pressurized gas and fragments are expelled at high velocity, forming directional jets that can ignite surrounding materials.

Why It Matters:

  • ๐Ÿ”ฅ Increases fire spread risk

  • ๐Ÿญ Threatens nearby battery modules

  • ๐Ÿ‘จ‍๐Ÿš’ Complicates firefighting strategies

  • ๐Ÿ”Ž Provides critical clues in fire investigations

๐Ÿ“Š Modeling Velocity Driven by Internal Pressure

To improve safety, researchers develop pressure-driven velocity models that predict:

  • Peak internal pressure ๐Ÿ“ˆ

  • Rupture timing ⏱️

  • Jet velocity and direction ๐ŸŒช️

  • Energy release rate ๐Ÿ’ฃ

Core Modeling Factors:

  • Gas generation rate

  • Cell volume and geometry

  • Vent size and rupture mechanics

  • Thermochemical reaction kinetics

By applying fluid dynamics and thermodynamic principles, engineers can simulate:

Velocity2Pฯ​

Where:

  • P = Internal pressure

  • ฯ = Gas density

These models help predict how forcefully materials will eject during failure.

๐Ÿงช Why NCM523 Batteries Require Special Attention

NCM523 chemistry offers:

  • ⚡ High energy density

  • ⚖️ Balanced thermal stability

  • ๐Ÿ”‹ Strong cycle performance

However, in high-capacity formats:

  • Larger stored energy amplifies runaway severity

  • More gas generation increases rupture force

  • Ejection events become more destructive

Understanding this behavior is crucial for next-generation EV battery pack safety.

๐Ÿ›ก️ Advancing Safety Design

Dynamic modeling supports improvements in:

๐Ÿ”น Vent Design Optimization

Controlled venting reduces explosion risk.

๐Ÿ”น Reinforced Casing Structures

Improves resistance to sudden rupture.

๐Ÿ”น Thermal Barriers Between Cells

Prevents propagation across modules.

๐Ÿ”น Early Detection Systems

Sensors monitor abnormal pressure or temperature rise.

These engineering solutions transform reactive safety into predictive safety.

๐Ÿ”Ž Supporting Fire Accident Investigation

In post-incident analysis, velocity modeling helps investigators determine:

  • Origin of rupture

  • Direction of flame jet

  • Pressure buildup sequence

  • Whether failure was internal or externally triggered

This improves:

  • ๐Ÿ” Root cause analysis

  • ⚖️ Legal and insurance assessments

  • ๐Ÿญ Manufacturing accountability

  • ๐Ÿ”‹ Product redesign strategies

๐ŸŒ Future Research Directions

Emerging research focuses on:

  • AI-driven thermal runaway prediction ๐Ÿค–

  • Real-time pressure sensing technology ๐Ÿ“ก

  • Safer electrolyte formulations ๐Ÿงด

  • Solid-state battery alternatives ๐Ÿ”ฌ

The ultimate goal: High energy density without compromising safety.

๐Ÿ Conclusion

The dynamic ejection phenomenon in high-capacity NCM523 lithium-ion batteries represents one of the most critical challenges in modern battery safety. By modeling velocity driven by internal pressure during thermal runaway, engineers and investigators gain powerful tools to:

  • ๐Ÿ”‹ Improve battery pack design

  • ๐Ÿ”ฅ Reduce fire propagation risk

  • ๐Ÿ”Ž Strengthen forensic analysis

  • ๐Ÿš— Enhance electric vehicle safety

As energy storage systems continue to expand globally, integrating pressure-driven modeling with advanced safety engineering will be essential for preventing catastrophic battery failures and advancing safer energy technologies.

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๐Ÿ”‹ Dynamic Ejection Phenomenon and Pressure-Driven Velocity Modeling in Thermal Runaway of High-Capacity NCM523 Lithium-Ion Batteries

  ๐Ÿ”‹ Dynamic Ejection Phenomenon and Pressure-Driven Velocity Modeling in Thermal Runaway of High-Capacity NCM523 Lithium-Ion Batteries Adv...