Thermal Runaway Safety Forecasting for Power Batteries
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Solution Overview
Problem
Current methods for assessing thermal runaway safety in lithium-ion batteries require full battery assembly and experimentation, which is inefficient and costly, and cannot directly predict the thermal runaway properties of full batteries from material or electrode tests.
Innovation Solution
A method and device using a thermal runaway reaction kinetic model to forecast the thermal runaway safety of full batteries by calculating the self heat generation onset temperature and maximum temperature rise of a half cell battery, allowing for the prediction of thermal runaway safety without assembling a full battery, using a computer system with a processor and memory to execute instructions for data processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If thermal runaway property test of full battery is carried out to accurately judge thermal runaway safety, then measurement precision is improved, but loss of time and productivity deteriorate due to requiring full battery assembly before experimentation
Solution Approach 1:
The patent segments the full battery system into individual components (electrode plates, electrolyte, separator) and performs thermal stability tests on each component separately. The results are then integrated through a thermal runaway model to predict full battery safety, eliminating the need to assemble complete batteries for testing while maintaining assessment accuracy.
Solution Approach 2:
The patent performs preliminary thermal stability tests on battery components before full battery assembly. By conducting component-level tests in advance and using a thermal runaway model to predict full battery behavior, the methodology enables safety assessment prior to complete battery construction, thereby improving R&D efficiency.
2Ease of manufacture
If thermal stability tests of materials and electrode plates are conducted to assess safety, then ease of manufacture is improved, but measurement precision deteriorates as these tests can only provide qualitative analysis and cannot directly reflect full battery thermal runaway properties
Solution Approach 1:
The patent introduces a thermal runaway model as an intermediary between component-level thermal stability tests and full battery safety assessment. This model integrates test data from electrode plates, electrolyte, and separator to predict full battery thermal runaway properties, bridging the gap between simple component testing and accurate system-level safety evaluation.
Solution Approach 2:
The patent transforms qualitative thermal stability test data into quantitative predictions of full battery thermal runaway properties by changing the analysis parameters through the thermal runaway model. The model processes component test results and outputs predictive metrics for full battery safety, enabling quantitative assessment from qualitative input data.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach simplifies the safety design process, reduces research and development time, and improves efficiency by forecasting thermal runaway safety without the need for full battery assembly, thereby enhancing the design and development of power batteries.
Implementation Method 1
calculating a maximum temperature Tmax of thermal runaway of the first power battery based on a thermal runaway reaction kinetic model stored in the computer
Data Source
AI summary
A method for forecasting thermal runaway safety of a full battery by a computer is provided and including receiving a self heat generation onset temperature T0 of a first power battery, wherein the first power battery is a half cell; calculating a maximum temperature Tmax of thermal runaway of the first power battery based on a thermal runaway reaction kinetic model stored in the computer, calculating a maximum temperature rise ΔT by making difference between the maximum temperature Tmax and the self heat generation onset temperature T0; and judging the thermal runaway safety of the first power battery by the relationship between the self heat generation onset temperature T0 and the maximum temperature rise ΔT.