Patent ID: 11965935
Assignee: ROBERT BOSCH GMBH
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 0:
1. A method, which is computer-implemented, for predicting a modeled state of health of an electrical energy store having at least one electrochemical battery cell, the method comprising:
providing a data-based state of health model that is trained to assign a modeled state of health to the electrical energy store based on characteristics of operating variables of the electrical energy store, the data-based state of health model operating on a processor;
providing time characteristics of the operating variables that characterize operation of the electrical energy store to the provided data-based state of health model;
identifying a phase of inactivity of the electrical energy store in which no charging and no discharging of the electrical energy store has occurred, based on the time characteristics of the operating variables;
completing data gaps in the time characteristics of the operating variables during the identified phase of inactivity based on a characteristic of a temperature of the electrical energy store that is derived from at least one provided ambient condition to generate time characteristics of artificial operating variables;
determining a modeled state of health of the electrical energy store based on the provided time characteristics of the operating variables and the time characteristic of the artificial operating variables using the provided data-based state of health model operating on the processor, the determined modeled state of health being one of a present state of health and a predicted state of health; and
operating the electrical energy store to extend a remaining life of the electrical energy store based on the determined modeled state of health,
wherein the time characteristics of the operating variables are captured in a fast time frame between 0.1 Hz and 100 Hz,
wherein each of the time characteristics of the operating variables and the time characteristics of the artificial operating variables include a current, a voltage, a temperature, and a state of charge of the electrical energy store, and
wherein the data-based state of health model includes a purely data-based state of health model or a hybrid state of health model.