# US 2025/0096336 A1 · Electrodynamic parameters > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 2025/0096336 A1 - Document ID: US20250096336A1 - Status: Published application - Kind: A1 - Application number: 18/900,551 - Filed: 2024-09-27 - Published: 2025-03-20 - Earliest claimed: 2022-03-28 - Assignees: Iontra Inc - Applicants: Iontra Inc - Inventors: Daniel A. KONOPKA; Zhong WANG - Web page: https://patentgrep.com/patent/US20250096336A1 ## CPC - H01M 10/446: {Initial charging measures} - H02J 7/84: Control of state of health [SOH] - G01R 31/392: Determining battery ageing or deterioration, e.g. state of health - H01M 10/48: Accumulators combined with arrangements for measuring, testing or indicating the condition of cells, e.g. the level or density of the electrolyte (constructional details of current conducting connections for detecting conditions inside cells or batteries, e.g. details of voltage sensing terminals, H01M50/569) - H02J 7/933: {the cycle being controlled or terminated in response to electric parameters} - H02J 7/977: {of the battery} - G01R 31/387: Determining ampere-hour charge capacity or SoC - H02J 7/82: Control of state of charge [SOC] - H01M: PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY - H02J: ELECTRIC POWER NETWORKS; CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY - G01R: MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES (indicating correct tuning of resonant circuits H03J3/12) ## Abstract Aspects of the present disclosure involve methods, which may be to manage control of a battery such as through charging, comprising obtaining a value indicative of at least one of a dynamic state of equilibrium, periodic behavior, quasi-periodic behavior, chaotic behavior and random behavior of a battery, which may involve electrodynamic parameters of Lyapunov Exponent, Correlation Dimension, Sample Entropy and Hurst Exponent, among others, the value obtained from a voltage measurement or a current measurement from the battery, and based on the value, operating the battery to maintain the battery within one of the dynamic states. ## Claims ### Claim 1 A method of dynamically charging a battery, the method comprising: obtaining a first value for a first electrodynamic parameter associated with behavior of a battery; comparing the first value to a first threshold value for the first electrodynamic parameter; and generating a charging signal for the battery based on the comparison of the first value to the first threshold value. ### Claim 2 (depends on 1) The method of claim 1, wherein obtaining the value for the electrodynamic parameter comprises calculating the electrodynamic parameter from a battery feedback signal. ### Claim 3 (depends on 2) The method of claim 2, wherein the battery feedback signal is generated during charging of the battery. ### Claim 4 (depends on 1) The method of claim 1, wherein the electrodynamic parameter comprises one selected from a group consisting of reaction heat, Lempel-Ziv (LZ) complexity, dynamic fluctuation analysis (DFA), Brock Dechert Scheinkman (BDS) test, Lyapunov Exponent (LE), Sample Entropy (SE), and Correlation Dimension (CD). ### Claim 5 (depends on 1) The method of claim 1, further comprising: obtaining a second value for a second electrodynamic parameter associated with behavior of the battery; comparing the second value to a second threshold value for the second electrodynamic parameter; and generating the charging signal for the battery based on the comparison of the second value to the second threshold value. ### Claim 6 (depends on 1) The method of claim 1, wherein the first threshold value comprises an upper limit for the first electrodynamic parameter. ### Claim 7 (depends on 6) The method of claim 6, wherein generating the charging signal for the battery comprises selecting a charge rate that maintains the first value for the first electrodynamic parameter below the upper limit. ### Claim 8 (depends on 1) The method of claim 1, wherein the first threshold value comprises a lower limit for the first electrodynamic parameter. ### Claim 9 (depends on 8) The method of claim 8, wherein generating the charging signal for the battery comprises selecting a charge rate that maintains the first value for the first electrodynamic parameter above the lower limit. ### Claim 10 (depends on 1) The method of claim 1, wherein generating the charging signal for the battery comprises controlling current to the battery throughout an entire charge cycle. ### Claim 11 (depends on 10) The method of claim 10, wherein there is no constant voltage (CV) portion of the charging signal. ### Claim 12 (depends on 1) The method of claim 1, wherein generating a charging signal comprises determining an end of charge for the charge cycle. ### Claim 13 (depends on 12) The method of claim 12, wherein determining the end of charge comprises determining that no charge rate produces a first value that satisfies the first threshold value. ### Claim 14 (depends on 1) The method of claim 1, further comprising: determining an amount of variation across a plurality of values for the first electrodynamic parameter; comparing the amount of variation to a threshold amount of variation; and generating a charge signal for the battery based on a result of the comparison. ### Claim 15 (depends on 14) The method of claim 14, wherein each of the plurality of values is associated with a different State of Charge percent value. ### Claim 16 (depends on 14) The method of claim 14, further comprising: determining that the amount of variation is higher than the threshold amount of variation; and reducing a charge rate of the battery. ### Claim 17 (depends on 14) The method of claim 14, further comprising: determining that the amount of variation is lower than the threshold amount of variation; and increasing the charge rate of the battery. ### Claim 18 (depends on 14) The method of claim 14, wherein the amount of variation is determined using fluctuation analysis. ### Claim 19 (depends on 18) The method of claim 18, wherein the fluctuation analysis is selected from a group consisting of point-to-point standard deviation, average deviation, and coefficient of variation, and skewness. ### Claim 20 (depends on 14) The method of claim 14, wherein the first electrodynamic parameter comprises one selected from a group consisting of LZ complexity, reaction heat, sample entropy, dynamic fluctuation analysis, BDS analysis, Lyapunov exponent, and correlation dimension. ### Claim 21 A method of characterizing aging in a battery, the method comprising: measuring a voltage of a battery while the battery is at rest; calculating at least one electrodynamic parameter from the measured voltage; and based on the at least one electrodynamic parameter, determining an amount of calendar aging associated with the battery. ### Claim 22 A method of characterizing a battery, the method comprising: obtaining a first value for a first electrodynamic parameter associated with behavior of a battery; and determining a battery characterization metric based on the first value for the first electrodynamic parameter. ### Claim 23 (depends on 22) The method of claim 22, wherein the battery characterization metric comprises one selected from a group consisting of State of Health (SOH), State of Charge (SOC), State of Function (SOF), State of Energy (SOE), and Remaining Useful Life (RUL).