Abstract: A method for operating an electrochemical energy storage system with a plurality of energy storage strings which comprise a plurality of electrochemical energy stores. The energy storage strings can be electrically connected in parallel by means of first switches.

Abstract: A method for determining a predicted state of health of an electrical energy storage unit in a machine includes providing a data-based or hybrid state of health model, the data-based state of health model is trained, depending on operating variables of the electrical energy storage unit and/or operating features derived from the operating variables, to indicate a state of health and to indicate a model uncertainty of the indicated state of health, ascertaining a state of health characteristic and the associated model uncertainty of the energy storage unit based on the operating variables using the state of health model, and generating at least one random constructed state of health characteristic candidate that corresponds to constructed state of health characteristics within characteristic of confidence intervals, the characteristic of confidence intervals defined by the model uncertainties of the states of health of the ascertained state of health characteristic.

Abstract: A method for operating a battery module, including multiple battery cells. The method includes: a) ascertaining cell voltages of the individual battery cells at a starting point in time; b) ascertaining at the starting point in time an average cell voltage from the cell voltages of the battery cells ascertained at the starting point in time; c) estimating the cell voltage of at least one battery cell at an operating point in time if the cell voltage of the battery cell is not measurable at the operating point in time, taking into account the cell voltage of the battery cell ascertained at the starting point in time, the average cell voltage ascertained at the starting point in time, and an average cell voltage ascertained at the operating point in time.

Abstract: A method for operating an electrochemical energy storage system with a plurality of electrochemical energy stores.

Abstract: A method for operating a system for ascertaining a state of charge of a battery of a motor vehicle includes providing operating variables of the battery, providing a calculated state of charge in the motor vehicle using a state-of-charge model that indicates a calculated state of charge depending on at least one battery model parameter of the state-of-charge model for the battery, and ascertaining a reference state of charge using a reference state-of-charge model depending on the operating variables. The reference state-of-charge model is trained to indicate the reference state of charge depending on the operating variables and/or a predefined aging state. The method further includes performing a correction of the at least one battery model parameter depending on a difference between the reference state of charge and the calculated state of charge in order to adapt the calculated state of charge to the reference state of charge.

Abstract: A method for monitoring cell voltage sensors (31) of a battery system (1) comprising a device battery (2) having a plurality of battery cells (21), comprising the following steps: continuous monitoring (Si) of the device battery (2) to detect a faulty cell voltage sensor (31) with a voltage offset above a predetermined threshold; upon detecting a faulty cell voltage sensor (31) (S2), detecting a plurality of voltage offsets at a plurality of evaluation time points; creation of (S4, S5, S6) a sensor drift model based on the multiple voltage offsets to determine or predict a voltage offset depending on the calendrical age of the device battery (2); wherein the voltage offset of a faulty cell voltage sensor (31) is detected by a deviation from a reference cell voltage, wherein the reference cell voltage is determined depending on the sensor drift model.

Abstract: A method for operating a system including a battery-operated machine having a battery, the method includes continuously providing operating variables of the battery, ascertaining operating features for a current evaluation period depending on characteristics of the provided operating variables, the operating features characterizing a use of the battery in the current evaluation period, ascertaining at least one stress-maximizing operating feature of the ascertained operating features that is associated with a stress factor for the battery using a state of health model, the stress factor having a greatest influence on aging of the battery, and signaling a measure in the battery-operated machine depending on the stress factor.

Abstract: A computer-implemented method for assigning a device type of a battery powered technical device having a device battery and belonging to a plurality of various device types to a user.

Abstract: The disclosure relates to a computer-implemented method for operating a system comprising a central processing unit, which is in communication with a multiplicity of battery-operated machines that each have an equipment battery, and for providing an action for extending the service life of the equipment battery of the machine in a machine-specific manner.

Abstract: A computer-implemented method, for associating a user with a device type of a battery powered technical device having a device battery and belonging to a plurality of various device types. In one example, the method includes providing a usage behavior of the user; associating a usage category with the user's usage behavior; determining a predicted usage parameter profile of at least one usage parameter according to the usage category, wherein the at least one usage parameter is indicative of a mode of operation of the technical device affecting a load on the device battery; simulating a predicted ageing state profile for the predicted usage parameter profile for a predetermined duration for each type of device belonging to a plurality of device types to determine a predicted ageing state at a predetermined end of a useful life period; and selecting a device type depending on the predicted ageing state.

Abstract: A method for detecting a fault of a device battery or battery cell using a battery model, wherein the battery model is based on a differential equation system and designed to indicate a progression of an operational variable dependent on an internal battery state determined by a model parameter of the battery model. The method includes providing a temporal operational variable progression of multiple operational variables for a period of time. The method includes adjusting the model parameter of the electrochemical battery model based on the operational variable progression over the period of time. The method includes detecting a fault type dependent on a predetermined rule, wherein the rule indicates a fault condition dependent on a deviation of the model parameter from a corresponding predetermined model parameter, and, when the fault condition of the rule is satisfied, signaling the fault type.

Abstract: A method for adjusting a parameter of a model of a battery, including providing a temporal operating variable profile of a plurality of operating variables for a time period, and modelling a profile of one of the operating variables using the model based on an operating variable of the provided operating variable profile within the time period. The method includes determining an operating state of the battery when the modeled operating variable deviates from the corresponding operating variable by more than a threshold value during the time period. The method includes performing a charging process, wherein, in the presence of the operating state, a current pulse or a voltage pulse of a specified height and a specified duration is superimposed on a charging current or a charging voltage while a further temporal operating variable profile is captured and adjusting the parameter based on the further temporal operating variable profile.

Abstract: A method for operating a central processing unit which is communicatively connected to a plurality of devices having electrical energy stores, includes determining a data-based state of health model which is trained to assign a state of health to an operating feature point which characterizes operation of a corresponding electrical energy store of the electrical energy stores of the plurality of devices and results from a plurality of operating features, determining operating feature points for the electrical energy stores of the plurality of devices, and selecting at least one of the operating feature points based on state uncertainties of the states of health of all operating feature points of the corresponding electrical energy store, such that the at least one operating feature point has a highest relevance for improving the state uncertainties of the operating feature points determined.

Abstract: A method for determining charging profiles for device batteries of battery-operated devices. In one instance, the method includes selecting device batteries having the same usage-related load and the same aging state; dividing the selected device batteries into groups; assigning different charging profiles to the groups of device batteries, wherein the charging profiles indicate for a charging operation a maximum permissible charging current depending on a charge level range; operating the device batteries of all groups with the respectively assigned charging profiles for a predetermined period of time, so that charging operations are executed depending on the respectively assigned charging profile; detecting a change in the average aging state for each group of device batteries between the beginning of the predetermined time period and the end of the predetermined time period; and adjusting the charging profile depending on the change in the average aging state.

Abstract: A drive system. The drive system includes a first partial drive system and a second partial drive system, each having at least one electric machine, at least one control electronics for controlling the at least one electric machine, an energy source and an energy source control unit for monitoring and controlling the energy source. The drive system includes a first drive control unit and a second drive control unit, the first drive control unit communicating with both the first partial drive system and the second partial drive system and being designed to control and monitor the drive system, and the second drive control unit communicating with both the first partial drive system and with the second partial drive system and being designed to assume the control and the monitoring of the drive system in a fault state of the first drive control unit.

Abstract: A computer-implemented method for operating a motor vehicle, in particular an electrically drivable motor vehicle, depending on a predicted state of health of an electrical energy store, in particular a vehicle battery. The method includes: providing vehicle parameters which influence the state of health of the electrical energy store; predicting the vehicle parameters at a prediction point in time; ascertaining the predicted state of health depending on the predicted vehicle parameters with the aid of a data-based state of health model which is trained to output a state of health of the electrical energy store depending on the vehicle parameters; and signaling the predicted state of health.

Abstract: A computer-implemented method for determining an error of a behavior of an electrical energy store in a technical device includes sensing an operating variable profile of at least one operating variable of the electrical energy store, determining at least one operating feature from the operating variable profile of the at least one operating variable of the electrical energy store, and evaluating a variational autoencoder with a supplied input variable vector, which includes an operating feature point from the at least one operating feature, in order to determine a degree of deviation from a distribution in a latent state space or a reconstruction error. The method further includes detecting the error of the behavior depending on (i) the degree of deviation or the reconstruction error, and (ii) a predetermined error threshold.

Abstract: A method for operating an electrical energy store system including at least two electrical energy store units. The method includes: a) ascertaining voltages of the at least two electrical energy store units; b) ascertaining at least one first characteristic value of the ascertained voltages; c) ascertaining a charge voltage limiting value and/or a discharge voltage limiting value as a function of the ascertained at least one characteristic value; and d) operating the electrical energy store system as a function of the ascertained charge voltage limiting value and/or discharge voltage limiting value.

Abstract: A method for carrying out a process for charging an appliance battery of an appliance, with the following steps: providing a charging profile that specifies a maximally permissible charging current for charging the appliance battery in a manner depending on a state of charge of the appliance battery; ascertaining a current state of health of the appliance battery; providing a reference state of health that predetermines a customary state of health for a calendrical age of the appliance battery; charging the appliance battery in a manner depending on a corrected maximally permissible charging current, the corrected maximally permissible charging current being ascertained by applying a correction value to the maximally permissible charging current, the correction value being determined in a manner depending on a correction function, depending on a difference between the reference state of health and the current state of health.

Abstract: A method for determining a state of health of at least one electrochemical energy store.