  Understanding battery degradation in electric vehicles (EVs) under real-world
conditions remains a critical yet under-explored area of research. Central to
this investigation is the challenge of estimating the specific degradation
modes in aged cells with no available information on usage history, bypassing
the conventional yet invasive method of tear-down tests. Using an
electrochemical model, this study pioneers a methodology to decouple and
isolate the aging mechanisms in batteries sourced from EVs with varying
mileages. A robust correlation is established between the model parameters and
distinct degradation processes, enabling the diagnosis and estimation of each
mechanism's impact on the battery's parameters. This paper sheds light on
battery degradation in real-world scenarios and demonstrates the feasibility of
their identification, isolation, and approximate quantification of their
effects.
