Dynamic Core Temperature Reconstruction for Transient Swelling Deconvolution in Prismatic Modules
Deconvoluting swelling requires dynamic internal thermal reconstruction to separate reversible expansion from heat driven volume growth.
Dynamic Temperature Estimation
Meaning
Real-time modeling techniques that calculate the internal temperature of a battery cell during operation offer a way to track thermal states without internal physical sensors. By using surface temperature measurements and current data, dynamic temperature estimation provides the core temperature of the jelly roll. The calculation allows the battery management system to make decisions before thermal thresholds are reached.
Thermal Calculation
State estimators utilize simplified thermal impedance networks representing the heat generation and conduction paths inside the cell. These mathematical models run concurrently with cell operations, updating their internal states at millisecond intervals. Through this process, dynamic temperature estimation captures the lag between internal heat generation and surface temperature changes.
Sensor Integration
Physical sensors placed on cell surfaces cannot detect rapid internal temperature spikes during aggressive fast charging. By incorporating dynamic temperature estimation, the system bypasses the limitations of external thermistors and reduces the necessary sensor count. This reduces assembly costs and increases the overall reliability of the pack.
Control Benefit
Advanced thermal control strategies rely on these real-time calculations to adjust charging currents before degradation occurs. When dynamic temperature estimation predicts an internal temperature exceeding fifty-five degrees Celsius, the charge controller reduces the current rate. This preventive action reduces the risks of thermal runaway and lithium plating.
The control loop thereby maintains safe operation during high-power fast charging phases without requiring expensive sensor instrumentation.