The growing proliferation of electric and hybrid vehicles in recent years has led to a rapid and significant acceleration in the evolution of energy storage technologies. This, in turn, has generated an increasingly pressing need to monitor the health status of battery cells with precision, consistency, and standardization, especially now that the second-hand market for such vehicles is steadily expanding, along with the amount and variety of data that can be acquired from batteries used in diverse operating conditions. This thesis stems from the need to develop a standardized and easily reproducible diagnostic system for assessing battery health in the automotive sector.