Robert Boschgmbh

Other

Gs Yuasa International Ltd.

Christoph Woll

Christian Simonis

Volker Doege

Alexander Schmidt

Gunther Handte

Eberhard Schnaibel

Christoph Kroener

Andras Gabor Kupcsik

Richard Hotzel

Tunan Shen

Erich Schneider

Klaus Winkler

Reinhardt Klein

Klaus Hirschmann

Ralf Buehrle

Albrecht Clement

Bernd Dittmer

Kersten Wehmeier

Detlef Heinrich

Antonio La Marca

Lanouar Chouk

Hao Zheng

Dimitrios Stavrianos

Magnus Labbe

Gerhard Filp

Csaba Domokos

Michael Gansemer

Qiang Qiu

Taleb Janbein

Daniel Neyer

Kirill Gorelik

Mathias Kurras

Peter Doebler

Florian Bessler

Nils Steker

Waleed Sahhary

Gael Le Hen

Jasmin Haag

Thorsten Schneider

A computer-implemented method for providing a residual service life based on a diagnosis of components of an electric drive system in a vehicle, includes recording distributions of a plurality of operating parameters comprising at least one sensor parameter and/or at least one control parameter, in the vehicle; using a plurality of diagnostic models for a plurality of fault types, each of which is configured to detect a specific fault type in one of the components based on at least some of the plurality of operating parameters and to signal corresponding fault information associated with the fault type; determining the residual service life using a residual usage model depending on the signaled corresponding fault information, the residual usage model configured to indicate the residual service life depending on the corresponding fault information from the plurality of diagnostic models; and signaling the residual service life.

Method and apparatus for determining a residual service life based on a predictive diagnosis of components of an electric drive system using artificial intelligence techniques

A method for monitoring cell voltage sensors () of a battery system () comprising a device battery () having a plurality of battery cells (), comprising the following steps:

Method and apparatus for diagnosing voltage sensors of a device battery having a plurality of battery cells

A method for operating an electrical energy store, which includes at least two electrical energy store modules connected in parallel and a connector. It is initially queried which electrical energy store modules are operational. A first voltage of an operational electrical energy store module is then determined, which is greater than or equal to the voltage of all operational electrical energy store modules. Those operational electrical energy store modules are then selected, whose voltage is within a voltage range below the first voltage. The selected electrical energy store modules are then electroconductively connected to the connector.

Method for operating an electrical energy store, electrical energy store and device

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.

Method and apparatus for operating an early warning system for robustly detecting an error of an electrical energy store for a device by means of machine learning methods

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.

Method for operating an electrochemical energy storage system with a plurality of energy storage strings

A method for determining a state of health of at least one electrochemical energy store includes bringing the electrochemical energy store to a predefined voltage state, after which the electrochemical energy store is discharged for a predefined time period and using predefined electric currents, and determining a rate of voltage change during the discharge, on the basis of which the state of health is determined.

Method for determining a state of health of at least one electrochemical energy store

A method for ascertaining an approximation and/or a prognosis for the true degradation state of a rechargeable battery. The method includes: providing a time sequence of values of the degradation state ascertained using measuring technology for past points in time; providing a trained HMM, which indicates, as a function of the true degradation state, at which probability during the ascertainment using measuring technology which particular value of the degradation state is monitored, and at which probability the true degradation state is maintained for what length of time, and/or at which probability this true degradation state transitions to which worse degradation state in the next time step; from the monitored time sequence and the HMM, the most probable characteristic of the true degradation state in the past that is in agreement with the monitored time sequence is ascertained; the desired approximation and/or prognosis is evaluated based on the most probable characteristic.

Cost-effective yet still precise ascertainment of the degradation state of a rechargeable battery

A computer-implemented method for ascertaining a state of health trajectory of an electrical energy store of a device, in particular an electrically driveable motor vehicle. The method including continually providing characteristics of operating variables that characterize operation of the electric energy store, ascertaining states of health based on the operating variables using an empirical state of health model at multiple times, parameterizing a trajectory function for describing the state of health trajectory based on multiple state of health points that each indicate one of the states of health of the ascertained states of health based on a time-dependent reference variable, and providing the trajectory function.

Method and apparatus for determining a state of health of an electrical energy store of unknown type by using machine learning methods

A method for matching data of a first control unit for controlling an electrical energy storage unit, which includes a plurality of electrochemical energy stores, with a second control unit for determining precise predictive values.

Method for matching data of a first control unit with a second control unit for determining precise predictive values

A method for predicting an aging state of a battery. A vehicle is also provided that includes at least one battery, the aging state of which is predited using the method and/or the aging behavior of which is improved based on the aging state prediction. A prediction system that is configured to carry out the method is also provided.

Method for predicting an aging state of a battery

A method for operating a battery system. The battery system includes parallel-connected strings. Each string includes at least one battery module. In the battery module, multiple battery cells are interconnected in a series connection and/or in a parallel connection. The strings are switchable on and off from one another. The battery cells and/or battery cell packets are switchable on and off from one another and are bypass-able. The method includes: recognizing a fault of a battery cell; switching off and bypassing the faulty battery cell and/or the faulty battery cell packet which includes the faulty battery cell; switching off the faulty string, which includes the faulty battery cell and/or the faulty battery cell packet; comparing the string voltage of the faulty string to the string voltage of intact strings, in which no fault was recognized; discharging the intact strings if voltage differences between the strings exceed a voltage threshold value.

Method for operating a battery system

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.

Method and device for the robust prediction of the aging behavior of an energy storage unit in a battery-operated machine

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.

Method for operating a battery module

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.

Method and device determining the state of charge of a battery in an electrically drivable motor vehicle

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.

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Gerlingen, Germany

Christoph Woll