# US 12,216,171 B2 · Estimation method, estimation system, and non-transitory computer-readable recording medium > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 12,216,171 B2 - Document ID: US12216171B2 - Status: Granted - Kind: B2 - Application number: 18/070,955 - Filed: 2022-11-29 - Published: 2023-06-01 - Granted: 2025-02-04 - Earliest claimed: 2021-12-01 - Assignees: Yokogawa Electric Corporation - Applicants: Yokogawa Electric Corporation - Inventors: Masaru Nakagomi; Satoshi Yoshitake; Masahiro Kazumi - Web page: https://patentgrep.com/patent/US12216171B2 ## CPC - G01R 31/389: Measuring internal impedance, internal conductance or related variables - G01R 31/392: Determining battery ageing or deterioration, e.g. state of health - G01R 31/367: Software therefor, e.g. for battery testing using modelling or look-up tables - G01R 31/3842: combining voltage and current measurements - H02J 7/80: including monitoring or indicating arrangements - Y02E 60/10: Energy storage using batteries - G01R: MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES (indicating correct tuning of resonant circuits H03J3/12) - H02J: ELECTRIC POWER NETWORKS; CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY - Y02E: REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION ## Abstract An estimation method includes: performing, for each different degree of degradation, regression analysis between a first value and a second value, wherein the first value is related to one or more reference feature points on a differential curve of a charging-discharging curve indicating a voltage value with respect to integrated current amount of a reference storage battery, and the second value is at least one of a capacity value of the reference storage battery and an internal resistance value of the reference storage battery; and estimating at least one of a capacity value of a target storage battery and an internal resistance value of the target storage battery, based on a result of the regression analysis and a third value related to one or more target feature points on a differential curve of a charging-discharging curve of the target storage battery. ## Claims ### Claim 1 An estimation method comprising: performing, for each different degradation degree among a plurality of degradation degrees regression analysis between a first value and a second value, wherein the first value is related to one or more reference feature points on a differential curve of a charging-discharging curve indicating a voltage value with respect to integrated current amount of a reference storage battery, and the second value is at least one of a capacity value of the reference storage battery and an internal resistance value of the reference storage battery; and estimating at least one of a capacity value of a target storage battery and an internal resistance value of the target storage battery, based on a result of the regression analysis and a third value related to one or more target feature points on a differential curve of a charging-discharging curve indicating a voltage value with respect to integrated current amount of the target storage battery. ### Claim 2 (depends on 1) The estimation method according to claim 1, wherein the result of the regression analysis includes a coefficient of a regression function, and the estimating includes multiplying the coefficient to the third value. ### Claim 3 (depends on 2) The estimation method according to claim 2, wherein the regression function includes linear functions, and the linear functions include: a first linear function corresponding to a section in which the reference storage battery has a first degree of degradation, and a second linear function corresponding to a section in which the reference storage battery has a second degree of degradation higher than the first degree of degradation. ### Claim 4 (depends on 2) The estimation method according to claim 2, wherein the regression function includes at least one of a multi-order function and a multiple regression function. ### Claim 5 (depends on 1) The estimation method according to claim 1, wherein the result of the regression analysis includes a coefficient of each of regression functions corresponding to the reference feature points, each of the regression functions includes a linear function, the estimating includes multiplying the coefficient of one of the regression functions to the third value related to one of the target feature points, the one of the regression functions has a correlation coefficient closest to 1, and the one of the target feature points corresponds to the one of the regression functions. ### Claim 6 (depends on 1) The estimation method according to claim 1, wherein the result of the regression analysis includes a coefficient of each of regression functions corresponding to the reference feature points, each of the regression functions includes a linear function, the estimating includes multiplying the coefficient of one of the regression functions to the third value related to one of the target feature points, the one of the regression functions has a correlation coefficient equal to or greater than a threshold value, and the one of the target feature points corresponds to the one of the regression functions. ### Claim 7 (depends on 1) The estimation method according to claim 1, wherein the target storage battery is the reference storage battery, the regression analysis is repeated as the target storage battery goes on degradating more, and the estimation method further comprises updating the result of the regression analysis. ### Claim 8 (depends on 1) The estimation method according to claim 1, wherein each of the differential curve for the reference storage battery and the differential curve for the target storage battery represents a derivative value obtained with respect to a voltage value by differentiating integrated current amount by a voltage value, and each of the first value and the third value includes at least one of a voltage value and a derivative value at a peak on each of the differential curve for the reference storage battery and the differential curve for the target storage battery. ### Claim 9 An estimation system comprising a processor that: performs, for each different degradation degree among a plurality of degradation degrees, regression analysis between a first value and a second value, wherein the first value is related to one or more reference feature points on a differential curve of a charging-discharging curve indicating a voltage value with respect to integrated current amount of a reference storage battery, and the second value is at least one of a capacity value of the reference storage battery and an internal resistance value of the reference storage battery; and estimates at least one of a capacity value of a target storage battery and an internal resistance value of the target storage battery, based on a result of the regression analysis and a third value related to one or more target feature points on a differential curve of a charging-discharging curve indicating a voltage value with respect to integrated current amount of the target storage battery. ### Claim 10 A non-transitory computer-readable recording medium having stored therein estimation instructions that cause a computer to: perform, for each different degradation degree among a plurality of degradation degrees, regression analysis between a first value and a second value, wherein the first value is related to one or more reference feature points on a differential curve of a charging-discharging curve indicating a voltage value with respect to integrated current amount of a reference storage battery, and the second value is at least one of a capacity value of the reference storage battery and an internal resistance value of the reference storage battery; and estimate at least one of a capacity value of a target storage battery and an internal resistance value of the target storage battery, based on a result of the regression analysis and a third value related to one or more target feature points on a differential curve of a charging-discharging curve indicating a voltage value with respect to integrated current amount of the target storage battery.