# US 12,222,400 B2 · State value for rechargeable batteries > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 12,222,400 B2 - Document ID: US12222400B2 - Status: Granted - Kind: B2 - Application number: 17/761,768 - Filed: 2020-09-21 - Published: 2022-11-24 - Granted: 2025-02-11 - Earliest claimed: 2019-09-20 - Assignees: Twaice Technologies GmbH - Applicants: TWAICE Technologies GmbH - Inventors: Michael Baumann - Web page: https://patentgrep.com/patent/US12222400B2 ## CPC - G01R 31/392: Determining battery ageing or deterioration, e.g. state of health - B60L 58/16: responding to battery ageing, e.g. to the number of charging cycles or the state of health [SoH] - G01R 31/367: Software therefor, e.g. for battery testing using modelling or look-up tables - G01R 31/396: Acquisition or processing of data for testing or for monitoring individual cells or groups of cells within a battery - Y02E 60/10: Energy storage using batteries - Y02T 10/70: Energy storage systems for electromobility, e.g. batteries - G01R: MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES (indicating correct tuning of resonant circuits H03J3/12) - B60L: PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES (arrangements or mounting of electrical propulsion units or of plural diverse prime-movers for mutual or common propulsion in vehicles B60K1/00, B60K6/20; arrangements or mounting of electrical gearing in vehicles B60K17/12, B60K17/14; preventing wheel slip by reducing power in rail vehicles B61C15/08; dynamo-electric machines H02K; control or regulation of electric motors H02P); SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES (electric coupling devices combined with mechanical couplings of vehicles B60D1/64; electric heating for vehicles B60H1/00); ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL (control or regulation of electric motors H02P); MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES - Y02E: REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION - Y02T: CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION ## Abstract A state value for a rechargeable battery, for example a lithium-ion battery, is determined on the basis of several aging characteristic variables. The aging characteristic variables comprise at least one current aging value and one future aging value. ## Claims ### Claim 1 A method for ascertaining a state value in connection with aging of a rechargeable battery, where the method comprises: ascertaining a current aging value of the battery, ascertaining a future aging value of the battery by means of an aging model and based on the current aging value, ascertaining the state value of the battery based on several aging characteristic variables which comprise at least the current aging value and the future aging value, selecting a specific application scenario depending on a comparison of several future aging values, and installing the battery or at least one cell of the battery into a device which is selected depending on the selection of the specific application scenario, where different application scenarios are associated with different devices. ### Claim 2 (depends on 1) The method as claimed in claim 1, wherein the future aging value comprises a calendric and/or cyclic range of values of one or more performance characteristic variables of the battery, where the method further comprises: determining a distance from an end-of-life criterion of the battery, based on an analysis of the range of values for identifying a signature of the one or more performance characteristic variables of the battery, which signature corresponds to the end-of-life criterion, wherein the several aging characteristic variables comprise the distance from the end-of-life criterion. ### Claim 3 (depends on 2) The method as claimed in claim 2, where the signature comprises a sudden decrease in at least one of the one or more performance characteristic variables. ### Claim 4 (depends on 2) The method as claimed in claim 2, where the signature comprises a decrease in or overshooting of at least one of the one or more performance characteristic variables to below or above a threshold value, where the method further comprises: determining the threshold value depending on an anticipated load profile or an anticipated application scenario of the battery. ### Claim 5 (depends on 1) The method as claimed in claim 1, where the method further comprises: detecting a historical load profile of the battery, and determining an anticipated load profile of the battery based on the historical load profile of the battery, wherein the aging model predicts the future aging value based on the anticipated load profile. ### Claim 6 (depends on 1) The method as claimed in claim 1, where the aging model ascertains several future aging values based on several anticipated load profiles, wherein the several anticipated load profiles correspond to several application scenarios, where the several application scenarios are selected from the following group: static energy store in a microgrid; energy store for mobile applications; low-load energy store; energy store for light electric vehicles; energy store for electric passenger cars; indoor application; and outdoor application. ### Claim 7 (depends on 6) The method as claimed in claim 6, where the current aging value, the future aging value and the state value are each determined for each of several battery cells of the battery, where different application scenarios are taken into consideration for different battery cells. ### Claim 8 (depends on 6) The method as claimed in claim 6, where the method further comprises: selecting one or more future aging values as aging characteristic variables for ascertaining the state value based on a comparison of the several future aging values. ### Claim 9 (depends on 1) The method as claimed in claim 1, where the method further comprises: detecting historical load profiles of a battery ensemble with a large number of batteries of the same type and/or batteries in the same application scenario, and determining an anticipated load profile of the battery based on the historical load profiles of the battery ensemble. ### Claim 10 (depends on 9) The method as claimed in claim 9, which further comprises: parameterizing the aging model based on calendric and/or cycled ranges of values of one or more performance characteristic variables of the batteries of the battery ensemble. ### Claim 11 (depends on 1) The method as claimed in claim 1, which further comprises: detecting a historical load profile of the battery, wherein the aging characteristic variables further comprise the historical load profile of the battery. ### Claim 12 (depends on 11) The method as claimed in claim 11, wherein the historical load profile of the battery comprises calendric and/or cycled ranges of values of one or more performance characteristic variables of the batteries, and/or wherein the historical load profile of the battery indicates events in the case of which one or more performance characteristic variables lie in at least one prespecified region, and/or wherein the historical load profile of the battery comprises aggregated performance characteristic variables of the battery. ### Claim 13 (depends on 12) The method as claimed in claim 12, where the at least one prespecified region is associated with irreversible lithium deposition on an electrode of the battery. ### Claim 14 (depends on 1) The method as claimed in claim 1, where the state value is ascertained based on a combination of the several aging characteristic variables, where the method further comprises: determining combination weights of the combination based on the current aging value and the future aging value. ### Claim 15 (depends on 1) The method as claimed in claim 1, where the method further comprises: comparing the state value with a large number of reference state values of further batteries of the same type, and emitting a warning depending on the comparison. ### Claim 16 An apparatus comprising a processor and a memory, where the processor is designed to load program code from the memory and to execute it, where executing the program code causes the processor to execute: ascertaining a current aging value of the battery, ascertaining a future aging value of the battery by means of an aging model and based on the current aging value, ascertaining a state value of the battery based on several aging characteristic variables which comprise at least the current aging value and the future aging value, selecting a specific application scenario from several application scenarios depending on a comparison of several future aging values, and selecting a device into which the battery is to be installed, the selection depending on the selection of the specific application scenario, where different application scenarios are associated with different devices. ### Claim 17 A method for ascertaining a state value in connection with aging of a rechargeable battery, where the method comprises: ascertaining a current aging value of the battery, ascertaining a future aging value of the battery by means of an aging model and based on the current aging value, and ascertaining the state value of the battery based on several aging characteristic variables which comprise at least the current aging value and the future aging value, selecting a specific application scenario from the several application scenarios depending on a comparison of the several future aging values, and installing the battery or at least one cell of the battery into a device which is selected depending on the selection of the specific application scenario, where different application scenarios are associated with different devices, wherein the aging model ascertains several future aging values based on several anticipated load profiles, wherein the several anticipated load profiles correspond to several application scenarios, and where the several application scenarios are selected from the following group: static energy store in a microgrid; energy store for mobile applications; low-load energy store; energy store for light electric vehicles; energy store for electric passenger cars; indoor application; and outdoor application.