Method for determining an approximation and / or prognosis for the true degradation state of a rechargeable battery and method for training a hidden Markov model for use in the method for determining an approximation and / or prognosis

摘要

Method (100) for determining an approximation and / or prognosis (2a) for the true degradation state (2) of a rechargeable battery (1) with the following steps: • A time series (3) of times in the past, discretized in predetermined time steps, is produced measured values (2b) of the degradation state provided (110); • a trained hidden Markov model, HMM (4), is provided (120), which indicates, depending on the true degradation state (2), o with what probability in the Metrological determination of which value (2b) of the degradation state is observed and the probability with which this true degradation state (2) will be maintained for how long, and / or with what probability this true degradation state will change into which worse degradation state (2 ') in the next time step; the observed time series (3) and the HMM (4) becomes the most likely course (2 *) of the true degradation ion state (2) determined in the past (130), which is consistent with the observed time series (3); • the approximation and / or prognosis (2a) sought is evaluated (140) from the most probable course (2 *).