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.
Deconvolution Algorithm
Meaning
Computational techniques used to resolve overlapping signals into their constituent individual responses provide detailed insight into battery degradation. In electrochemical impedance spectroscopy, a deconvolution algorithm separates the individual time constants that correspond to distinct physical processes. The calculation translates a combined frequency spectrum into a distribution of relaxation times.
Signal Processing
Analysis of raw voltage or current data often yields broad, ambiguous curves where multiple electrochemical effects occur simultaneously. The application of a deconvolution algorithm isolates the high frequency charge transfer from the lower frequency solid state diffusion. This separation enables engineers to measure specific internal resistance changes.
Mathematical Resolution
Numerical inversion of the integral equations requires regularization techniques to prevent the amplification of experimental noise. Because the problem is mathematically ill-posed, the chosen deconvolution algorithm uses constraint functions to stabilize the solution. These functions ensure the output contains only physically realistic non-negative peaks.
The resulting distribution maps each reaction step to a specific peak position on the time scale.
Diagnostic Application
Battery management systems apply these computations to monitor internal cell health. By tracking how individual peaks shift during aging, the deconvolution algorithm identifies whether degradation stems from anode binder failure or cathode dissolution. This diagnostic precision informs decisions regarding second-life battery reuse.