Method and apparatus for parameterizing an electrochemical battery model for a battery based on data from a plurality of batteries

US11656293B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-11656293-B2
Application numberUS-202117484428-A
CountryUS
Kind codeB2
Filing dateSep 24, 2021
Priority dateSep 29, 2020
Publication dateMay 23, 2023
Grant dateMay 23, 2023

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  5. First independent claim

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Abstract

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A method for parameterizing an electrochemical battery model of a specific battery of a device, includes providing a current operating feature point of the specific battery and operating feature points of further batteries of a plurality of further devices for various evaluation periods. The operating feature points of the further batteries characterize an operation of a respective further battery within one or more of the evaluation periods based on several operating features. The several operating features are produced depending on characteristics of operating variables of the respective further battery. The method further includes selecting operating feature points of the further batteries that are similar to the current operating feature point of the specific battery, and providing model parameters of the electrochemical battery model that are associated with the current operating feature point and the selected operating feature points.

First claim

Opening claim text (preview).

What is claimed is: 1. A method for parameterizing an electrochemical battery model of a specific battery of a device, comprising: providing a current operating feature point of the specific battery and operating feature points of further batteries of a plurality of further devices for various evaluation periods, wherein the operating feature points of the further batteries characterize an operation of a respective further battery within one or more of the evaluation periods based on several operating features, wherein the several operating features are produced depending on characteristics of operating variables of the respective further battery; selecting operating feature points of the further batteries that are similar to the current operating feature point of the specific battery; providing model parameters of the electrochemical battery model that are associated with the current operating feature point and the selected operating feature points; ascertaining at least one fused model parameter depending on the model parameters of the current operating feature point of the specific battery and the selected operating feature points of the further batteries; and signaling the at least one fused model parameter or updating the electrochemical battery model using the at least one fused model parameter. 2. The method according to claim 1 , further comprising: providing states of health at least for a portion of the current operating feature point of the specific battery and the operating feature points of the further batteries; and selecting operating feature points that are similar to the current operating feature point of the specific battery depending on the states of health of respective operating feature points. 3. The method according to claim 2 , further comprising: determining each of the states of health based on a measurement; and updating the model parameters of the battery of a relevant operating feature point depending on the measurement and on characteristics of the operating variables of the respective battery. 4. The method according to claim 2 , further comprising: providing a state of health model based on the electrochemical battery model in order to model a respective state of health of the states of health with respect to the current operating feature point of the specific battery and with respect to the operating feature points of the further batteries, wherein the operating feature points that are similar to the current operating feature point of the specific battery are selected depending on the states of health of the respective operating feature point. 5. The method according to claim 1 , further comprising: selecting operating feature points of the further batteries that are similar to the current operating feature point of the specific battery using a clustering method. 6. The method according to claim 1 , wherein: the method is executed in a central processing unit, and the at least one fused model parameter is transmitted to the device having the specific battery in order to update the electrochemical battery model. 7. The method according to claim 1 , further comprising: ascertaining the at least one fused model parameters by virtue of the model parameters that are respectively associated with the current operating feature point of the battery and the selected operating feature points of the further batteries each being combined using a Kalman filter or a Luenberger observer or each being averaged or each being averaged in a weighted manner depending on the similarities. 8. The method according to claim 1 , wherein the device having the specific battery corresponds to a motor vehicle, a pedelec, an aircraft, a drone, a machine tool, an autonomous robot, and/or a domestic appliance. 9. The method according to claim 1 , wherein a computer program product comprises instructions that, when the computer program is executed by at least one data processing device, causes said at least one data processing device to perform the method. 10. The method according to claim 9 , wherein the computer program product is stored on a non-transitory machine-readable storage medium. 11. An apparatus for parameterizing an electrochemical battery model of a battery in a device, comprising: a central processing unit communicatively connected to a plurality of batteries, the central processing unit configured to: provide a current operating feature point of the specific battery and operating feature points of further batteries of a plurality of further devices for various evaluation periods, wherein the operating feature points of the further batteries characterize an operation of a respective further battery within one or more of the evaluation periods based on several operating features, wherein the several operating features are produced depending on characteristics of operating variables of the respective further battery; select operating feature points of the further batteries that are similar to the current operating feature point of the specific battery; provide model parameters of the electrochemical battery model that are associated with the current operating feature point and the selected operating feature points; ascertain at least one fused model parameter depending on the model parameters of the current operating feature point of the specific battery and the selected operating feature points of the further batteries; and signal the at least one fused model parameter or updating the electrochemical battery model using the at least one fused model parameter.

Assignees

Inventors

Classifications

  • using current integration · CPC title

  • G01R31/392Primary

    Determining battery ageing or deterioration, e.g. state of health · CPC title

  • Software therefor, e.g. for battery testing using modelling or look-up tables · CPC title

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What does patent US11656293B2 cover?
A method for parameterizing an electrochemical battery model of a specific battery of a device, includes providing a current operating feature point of the specific battery and operating feature points of further batteries of a plurality of further devices for various evaluation periods. The operating feature points of the further batteries characterize an operation of a respective further batt…
Who is the assignee on this patent?
Bosch Gmbh Robert
What technology area does this patent fall under?
Primary CPC classification G01R31/392. Mapped technology areas include Physics.
When was this patent published?
Publication date Tue May 23 2023 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).