It has been previously highlighted that in regards to LIBs used for EVs, there is a clear opportunity for recovering the materials inside these batteries by the use of automated processes and intelligent characterizations . As we approach this new era of digitalization, our battery modeling tools continue to improve, and the combination of several computational tools is expected to maximize the most out of the available experimental data. In here, we identify the combination of continuum PBMs alongside ML methods as one of the most promising combinations.