The invention relates to the technical field of
power battery management, and discloses a
power battery residual life online prediction and evaluation method comprising the following steps: S1, obtaining operation data of a
power battery pack, and monitoring a local maintenance or local replacement event; s2, determining a replacement object and a non-replacement object; s3, constructing a historical inheritance mark; s4, constructing a mixed-age life state; s5, determining a
constraint relation of each object to the life of the whole
package; s6, executing residual life online prediction to obtain a residual life prediction result; and S7, evaluating the residual life prediction result to obtain a residual
life evaluation result. When a battery is maintained and replaced, a replaced object and a non-replaced object are distinguished, a historical inheriting mark is constructed, life historical information is inherited or a life initial state is reconstructed according to the historical inheriting mark, and a mixed-age life state after local maintenance or local replacement is formed, so that subsequent residual life online prediction and evaluation have a clear object boundary and a state basis.