Explosion Limit Prediction Methods for Thermal Runaway Products of Lithium Iron Phosphate Batteries

This study investigates the lower explosion limit (LEL) prediction methods for thermal runaway products generated by lithium iron phosphate (LiFePO₄) batteries under different states of charge (SOC). A comprehensive analysis combining experimental measurements and theoretical modeling provides insights into gas composition dynamics and explosion risks.

1. Experimental Methodology

The 32135-type cylindrical lithium iron phosphate battery (32 mm diameter × 135 mm height) with graphite anode and DMC-based electrolyte was tested. Key parameters include:

Parameter Value
Nominal Capacity 15 Ah
Operating Voltage 3.2 V
Cycle Life >2000 cycles

The thermal runaway process was induced in a closed pressure vessel (5 MPa rating) with gas composition analyzed through GC-MS. Three distinct stages were identified:

$$ \frac{dT}{dt} \geq 1\,^{\circ}\text{C}/\text{s} \Rightarrow \text{Thermal Runaway Threshold} $$

2. Gas Production Analysis

The ideal gas law was applied to calculate vent gas quantities:

$$ pV = nRT $$

Key findings for 60-100% SOC lithium iron phosphate batteries:

SOC (%) H₂ (%) CO (%) CO₂ (%) DMC (%)
60 34.2 21.1 11.7 18.4
80 39.8 18.6 16.3 12.1
100 42.5 16.9 9.8 8.7

3. Explosion Limit Prediction Models

Three methods were evaluated for lithium iron phosphate battery gas mixtures:

3.1 Le Chatelier’s Law

$$ L_{mix} = \frac{1}{\sum \frac{x_i}{L_i}} $$

3.2 Adiabatic Flame Temperature Method

$$ \sum N_j \int_{T_0}^{T_a} C_{p,j} dT = \sum N_i \Delta H_{f,i}^0 – \sum N_j \Delta H_{f,j}^0 $$

3.3 Jones Method

Empirical adjustment for inert gas dilution:

$$ L_{adj} = L_{mix} \times \frac{100}{100 – B} $$

4. Results and Validation

Comparison of prediction methods for lithium iron phosphate battery vent gases:

Method 60% SOC LEL (%) Error (%)
Experimental 3.93
Le Chatelier 3.98 1.14
Adiabatic Flame 4.32 10.02
Jones 4.19 6.73

The lithium iron phosphate battery demonstrates unique SOC-dependent explosion characteristics:

$$ LEL_{min} = 3.93\%\ \text{(60% SOC with DMC)} $$
$$ LEL_{max} = 5.07\%\ \text{(80% SOC without DMC)} $$

5. Electrolyte Vapor Impact

Dimethyl carbonate (DMC) significantly affects explosion limits in lithium iron phosphate batteries:

$$ \Delta LEL = LEL_{gas} – LEL_{product} = 1.14\%\ \text{(average reduction)} $$

The time-dependent venting process explains SOC variations:

SOC (%) Venting Duration (s) DMC Proportion (%)
60 1279 18.4
100 502 8.7

6. Thermal Runaway Phase Analysis

Three distinct phases characterize lithium iron phosphate battery failure:

$$ \text{Phase I (Passive Heating)}: T < 167.4\,^{\circ}\text{C} $$
$$ \text{Phase II (Exponential Heating)}: 167.4\,^{\circ}\text{C} < T < 235.6\,^{\circ}\text{C} $$
$$ \text{Phase III (Runaway)}: T > 235.6\,^{\circ}\text{C} $$

The lithium iron phosphate battery exhibits dual gas release peaks corresponding to safety valve activation (DMC-dominated) and thermal runaway (combustible gas mixture).

7. Conclusion

This study establishes reliable prediction methods for lithium iron phosphate battery explosion risks:

  1. Le Chatelier’s method shows minimum error (1.14%) for LEL prediction
  2. DMC vapor reduces LEL by 22.49% at 60% SOC
  3. 80% SOC presents maximum explosion risk due to CO₂ dilution effects

The findings provide critical safety parameters for lithium iron phosphate battery applications in energy storage systems and electric vehicles, emphasizing the necessity of SOC-dependent safety protocols.

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