Method and device for predicting an error of a device battery

A computer comprising a processor, the processor configured to

• detect, via a battery management system, temporal operational variable profiles of at least one device battery;
• perform an anomaly detection as a function of the temporal operational variable profiles;
• upon recognizing an anomaly, detect error-relevant variables;
• evaluate an error evaluation model as a function of the error-relevant variables to determine an error type of a predicted error;
• assign, error factors to the error type using at least one provided error factor assignment table of the error evaluation model;
• determine a risk value as a function of the error factors;
• signal the risk value;
• and
• update the error evaluation model in a central processing unit based on operational variable profiles of a plurality of device batteries as a function of a detected anomaly and a subsequently occurring error of a certain error type.

A non-transitory, computer-readable storage medium comprising instructions that, when executed by a computer, cause the computer to detect, temporal operational variable profiles of at least one device battery;

• perform an anomaly detection as a function of the temporal operational variable profiles;
• upon recognizing an anomaly, detect error-relevant variables;
• evaluate an error evaluation model as a function of the error-relevant variables to determine an error type of a predicted error;
• assign, error factors to the error type using at least one provided error factor assignment table of the error evaluation model;
• determine a risk value as a function of the error factors;
• signal the risk value;
• and
• update the error evaluation model in a central processing unit based on operational variable profiles of a plurality of device batteries as a function of a detected anomaly and a subsequently occurring error of a certain error type.