1. A method for predicting replacement time of a vehicle battery comprising: providing a processor configured to: collect battery performance data from a plurality of vehicles though a wireless receiver; identify the battery performance data associated with vehicles belonging to a peer group defined by a mutual year of manufacture; apply a statistical operation to the battery performance data so as to calculate an adjustment parameter reflecting the mutual year of manufacture; use a collaborative health model incorporating the adjustment factor to predict a replacement date of a battery of a vehicle associated with the peer group, the collaborative health model implemented as 
 C deg ( t )= C N e −c z (1-Z w (t)/1.6Z IEC ) , wherein C deg (t) is time dependent, battery capacity, C N is nominal battery capacity, Z w(t) is time dependent, weighted throughput, Z IEC is a standard throughput value, and c z is the adjustable parameter.