Atomfair Brainwave Hub: Battery Science and Research Primer / Battery Safety and Reliability / Gas generation analysis
Gas generation in batteries is a critical safety and reliability concern that requires standardized evaluation protocols. Several international standards define test methods for measuring gas evolution under various stress conditions, with the goal of characterizing battery behavior and predicting potential failure modes. The analysis of gas production provides insights into decomposition reactions, electrolyte breakdown, and other chemical processes that occur during battery operation and abuse scenarios.

The International Electrotechnical Commission standard IEC 62133 specifies safety requirements for portable sealed secondary cells containing alkaline or other non-acid electrolytes. This standard includes provisions for evaluating gas generation under overcharge conditions. The test protocol involves charging the battery at a constant current equal to the manufacturer's recommended maximum charge current, while maintaining the upper voltage limit specified by the manufacturer. The test continues until the battery reaches 250% of its rated capacity or until safety mechanisms activate. During this test, gas production is monitored through pressure measurements or by collecting evolved gases in a calibrated volume system. The standard sets limits on the allowable amount of gas generated during such abuse conditions.

For high-temperature storage evaluation, the IEC 62133 standard prescribes storing fully charged batteries at 70°C for 7 days in a sealed container equipped with pressure monitoring. The test measures both the total gas volume produced and the rate of gas evolution. Batteries must not exhibit leakage, venting, or disassembly during this test. The standard also requires visual inspection after the test to check for deformation or other physical changes.

Cycling-induced gas generation is assessed through repeated charge-discharge cycles under controlled conditions. The UL 1973 standard provides guidance for evaluating gas production during cycling of large format batteries. The test involves subjecting the battery to a specified number of cycles at the manufacturer's recommended maximum charge and discharge rates while monitoring internal pressure or collecting evolved gases. The test continues until the battery reaches its end-of-life criteria or shows signs of excessive gas generation.

Gas analysis typically involves chromatography techniques to identify and quantify specific gas species. Common gases produced in lithium-ion batteries include carbon dioxide, carbon monoxide, hydrogen, and various hydrocarbons. The composition of the gas mixture provides diagnostic information about the underlying chemical reactions. For example, carbon dioxide evolution suggests electrolyte decomposition involving carbonate solvents, while hydrogen generation may indicate water contamination or reactions with electrode materials.

Arrhenius modeling provides a quantitative framework for predicting gas generation rates and battery lifetime based on accelerated aging data. The Arrhenius equation relates the rate constant of a chemical reaction to temperature:

k = A * exp(-Ea/RT)

Where:
k is the reaction rate constant
A is the pre-exponential factor
Ea is the activation energy
R is the universal gas constant
T is the absolute temperature

For gas generation studies, researchers measure gas production rates at multiple elevated temperatures and use the Arrhenius relationship to extrapolate behavior at normal operating temperatures. The activation energy (Ea) derived from these studies characterizes the temperature dependence of the gas generation process. Typical activation energies for electrolyte decomposition reactions in lithium-ion batteries range from 50 to 100 kJ/mol, depending on the specific chemistry and materials involved.

The following table shows an example of Arrhenius parameters for gas generation in a lithium-ion cell with NMC cathode and graphite anode:

Temperature (°C) | Gas Volume (mL) | Rate Constant (1/day)
-----------------|----------------|----------------------
25 | 0.5 | 0.002
45 | 2.1 | 0.008
60 | 5.3 | 0.021
75 | 12.4 | 0.049

From such data, the activation energy can be calculated by plotting the natural logarithm of the rate constants against the reciprocal of absolute temperature. The slope of this plot equals -Ea/R, allowing determination of the activation energy. This value can then be used to predict gas generation rates at any temperature within the valid range of the model.

Several factors influence the accuracy of Arrhenius modeling for gas generation prediction. The model assumes a single dominant reaction mechanism remains unchanged across the temperature range studied. In practice, multiple parallel reactions may occur, each with different activation energies. Additionally, the model does not account for mechanical changes in the cell that might affect gas production, such as separator shrinkage or electrode swelling.

Standardized test protocols specify strict control of experimental conditions to ensure reproducible gas generation measurements. Key parameters include:
- Initial state of charge
- Charge/discharge rates
- Temperature control accuracy
- Pressure measurement resolution
- Gas collection system design
- Calibration procedures

The IEC 62660 series provides additional guidance on reliability and abuse testing for large format lithium-ion cells used in electric vehicles. These standards include more stringent requirements for gas generation testing, particularly for cells designed for high-energy applications. The tests evaluate gas production under realistic operating profiles that include dynamic power demands and varying environmental conditions.

Gas generation studies must account for the cell design and safety features. Cells with pressure relief mechanisms will show different gas accumulation behavior compared to fully sealed designs. Modern battery management systems include algorithms that monitor internal pressure or impedance changes that correlate with gas production, providing early warning of potential safety issues.

The relationship between gas generation and state of health is an active area of research. Some studies have demonstrated correlations between the rate of certain gas species production and capacity fade mechanisms. For example, increasing ethylene production in lithium-ion cells has been linked to electrolyte reduction at the anode interface, which correlates with solid electrolyte interphase growth and capacity loss.

Standardized gas generation tests serve multiple purposes in battery development and qualification. They provide comparative data for different cell designs and chemistries, help optimize safety systems, and establish pass/fail criteria for production quality control. The data from these tests also informs the design of battery enclosures and venting systems in end-use applications.

Advanced analysis techniques complement standard gas generation tests. Differential electrochemical mass spectrometry allows real-time monitoring of gas evolution during cycling, providing insights into the potential and temperature thresholds for different decomposition reactions. Coupling these measurements with electrochemical impedance spectroscopy enables correlation between gas production and changes in internal cell resistance.

The development of international standards for gas generation testing continues to evolve as battery technologies advance. Recent updates to existing standards have addressed new chemistries such as lithium-metal and solid-state batteries, which exhibit different gas generation characteristics compared to conventional lithium-ion designs. These standards ensure consistent evaluation methodologies across the industry while accommodating technological innovations.

Understanding and controlling gas generation remains essential for battery safety and longevity. Standardized test protocols provide the foundation for reliable evaluation, while Arrhenius modeling offers a powerful tool for predicting long-term behavior from accelerated tests. Together, these approaches enable the development of safer, more reliable battery systems across diverse applications.
Back to Gas generation analysis