Heating Safety Evaluation Under Pseudo-Adiabatic Cooling
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Solution Overview
Problem
Existing heating safety evaluators cannot accurately evaluate the critical temperature at which thermal runaway occurs in samples, even when equipped with cooling means, and they face increased load on the periphery heater during pseudo-adiabatic state maintenance.
Innovation Solution
A heating safety evaluation device that includes a sensor for detecting self-heat generation, a periphery heater, a cooler, and a controller. The controller performs a series of control actions, including heating the sample, detecting self-heat generation, and bringing the sample into a pseudo-adiabatic state by heating and cooling, to evaluate the critical temperature at which thermal runaway occurs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the periphery heater is used to maintain the pseudo-adiabatic state without cooling means, then the heating safety evaluation can be performed, but the load on the periphery heater increases when self-heat generation is large
Solution Approach 1:
The heating and cooling functions are segmented into separate devices: the periphery heater for heating and the cooler for cooling. This allows independent control of heating and cooling, enabling the system to handle large self-heat generation by activating the cooler without overloading the heater.
Solution Approach 2:
The system changes the thermal state parameters by introducing active cooling capability. By controlling the cooler to remove heat, the system can maintain the pseudo-adiabatic state even when self-heat generation is large, thereby reducing the required heater power while maintaining evaluation accuracy.
2Device complexity
If cooling means are not included in the evaluation system, then the system structure is simpler, but the critical temperature with cooling means cannot be evaluated
Solution Approach 1:
The cooler acts as an intermediary device that simulates the presence of cooling means in actual battery systems. By introducing this mediator, the system can evaluate critical temperatures under realistic cooling conditions without significantly complicating the overall evaluation apparatus.
Solution Approach 2:
The system modifies the thermal evaluation parameters by introducing controlled cooling. This allows the measurement of critical temperatures under cooling conditions, improving measurement precision while maintaining reasonable system complexity through controlled parameter adjustment.
3Ease of operation
If the sample is not cooled during self-heat generation, then the pseudo-adiabatic state can be maintained with less complex control, but the temperature rise due to self-heat generation cannot be suppressed
Solution Approach 1:
The system employs feedback control by monitoring the sample temperature and self-heat generation rate, then adjusting the cooler operation accordingly. This feedback mechanism suppresses temperature rise while maintaining relatively simple control logic, as the cooler is activated only when needed based on real-time temperature monitoring.
Solution Approach 2:
The system dynamically adjusts thermal parameters by introducing active cooling control. The cooler is controlled to remove heat at rates that suppress temperature rise while maintaining the pseudo-adiabatic condition, achieving temperature control without excessive operational complexity.
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
Enables accurate evaluation of the critical temperature for thermal runaway in samples with cooling means, while reducing the load on the periphery heater by suppressing temperature rise through cooling.
Implementation Method 1
a periphery heater configured to be able to heat a periphery of the sample
Implementation Method 2
a cooler configured to be able to cool the sample
Implementation Method 3
a sensor configured to detect self-heat generation of a sample
Data Source
AI summary
A heating safety evaluator includes a sensor, a heater, a cooler, and a controller. The controller repeatedly performs a prescribed series of control. The series of control includes heating the sample and thereafter, upon detection of self-heat generation by the sensor, bringing the sample into a pseudo-adiabatic state by heating with a periphery heater while making an attempt to cause the self-heat generation to cease by cooling the sample with the cooler. The pseudo-adiabatic state is a state in which a heat balance between the sample cooled with the cooler and periphery of the sample is zero. The heating safety evaluator evaluates a temperature of the sample at which the self-heat generation does not cease during repetition of the series of control, as a critical temperature at which thermal runaway of the sample occurs even by cooling with the cooler.