# US 2025/0147104 A1 · Devices and methods for determining and extending a remaining useful life of a battery > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 2025/0147104 A1 - Document ID: US20250147104A1 - Status: Published application - Kind: A1 - Application number: 18/386,428 - Filed: 2023-11-02 - Published: 2025-05-08 - Earliest claimed: 2023-11-02 - Assignees: Zebra Technologies Corporation - Applicants: Zebra Technologies Corporation - Inventors: Charles W. Roark; Ajay Sood - Web page: https://patentgrep.com/patent/US20250147104A1 ## CPC - G01R 31/367: Software therefor, e.g. for battery testing using modelling or look-up tables - G01R 31/382: Arrangements for monitoring battery or accumulator variables, e.g. SoC - G01R 31/392: Determining battery ageing or deterioration, e.g. state of health - G01R: MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES (indicating correct tuning of resonant circuits H03J3/12) ## Abstract Devices and methods for determining and extending a remaining useful life of a battery are disclosed herein. In an embodiment, the method receives temperature information and state of charge information of the first battery over a duration of time and metric data of the first battery over the duration of time. The method trains a machine learning model based on historical data associated with one or more other batteries and utilizes the trained machine learning model to determine a remaining useful life of the first battery based on the temperature information, the state of charge information, and the metric data. In an embodiment, the method also receives environment information of the first battery, trains a machine learning model, and utilizes the trained machine learning model to determine at least one mitigation to extend the remaining useful life of the first battery based on the temperature information, the state of charge information, the metric data, and the environment information. ## Claims ### Claim 1 A method comprising: receiving temperature information of a first battery and state of charge information of the first battery over a duration of time; receiving metric data of the first battery over the duration of time; training a machine learning model based on historical data associated with one or more other batteries; utilizing the trained machine learning model to determine a remaining useful life of the first battery based on the temperature information, the state of charge information, and the metric data; generating, based on the determined remaining useful life of the first battery, a notification associated with the first battery; and transmitting at least one of the remaining useful life of the first battery and the notification. ### Claim 2 (depends on 1) The method of claim 1, wherein the temperature information of the first battery and the state of charge information of the first battery are indicative of at least one of respective time periods of the first battery within respective temperature ranges and respective states of charge during a first state of the first battery over the duration of time, and respective time periods of the first battery within respective temperature ranges and respective states of charge during a second state of the first battery over the duration of time. ### Claim 3 (depends on 2) The method of claim 2, wherein the first state of the first battery is indicative of the first battery being in use, the second state of the first battery is indicative of the first battery not being in use, and the duration of time is indicative of at least one of a first time period prior to a first use of the first battery and a second time period after the first use of the first battery. ### Claim 4 (depends on 1) The method of claim 1, wherein the metric data of the first battery is indicative of at least one of a battery identification, a time stamp, a battery total cumulative charge, a battery present charge level, a battery present capacity, a battery rated capacity, a battery health percentage, a battery discharge rate, a battery cycle, a battery temperature, an average current, an average power, a voltage, charge on/off events, a battery charge source, and battery swap data, over the duration of time. ### Claim 5 (depends on 1) The method of claim 1, wherein the one or more other batteries are associated with the first battery based on at least one of: the temperature information of the first battery and the state of charge information of the first battery having a threshold degree of correspondence to historical patterns of temperature information of the one or more other batteries and state of charge information of the one or more other batteries over the duration of time; the metric data of the first battery having a threshold degree of correspondence to historical metric data of the one or more other batteries over the duration of time; usage data of the first battery having a threshold degree of correspondence to historical usage data of the one or more other batteries; and a type of the first battery having a threshold degree of correspondence to the one or more other batteries. ### Claim 6 (depends on 1) The method of claim 1, further comprising: determining that a time period associated with the remaining useful life of the first battery is below a threshold; scheduling a replacement of the first battery based on the time period; and transmitting a notification associated with the replacement of the first battery to at least one of a user and a device associated with the first battery. ### Claim 7 A device, comprising: one or more processors; and a non-transitory computer-readable memory coupled to the one or more processors, the memory storing instructions thereon that, when executed by the one or more processors, cause the one or more processors to: receive temperature information of a first battery and state of charge information of the first battery over a duration of time, receive metric data of the first battery over the duration of time, train a machine learning model based on historical data associated with one or more other batteries, utilize the trained machine learning model to determine a remaining useful life of the first battery based on the temperature information, the state of charge information, and the metric data, generate, based on the determined remaining useful life of the first battery, a notification associated with the first battery, and transmit at least one of the remaining useful life of the first battery and the notification. ### Claim 8 (depends on 7) The device of claim 7, wherein the temperature information of the first battery and the state of charge information of the first battery are indicative of at least one of respective time periods of the first battery within respective temperature ranges and respective states of charge during a first state of the first battery over the duration of time, and respective time periods of the first battery within respective temperature ranges and respective states of charge during a second state of the first battery over the duration of time. ### Claim 9 (depends on 8) The device of claim 8, wherein the first state of the first battery is indicative of the first battery being in use, the second state of the first battery is indicative of the first battery not being in use, and the duration of time is indicative of at least one of a first time period prior to a first use of the first battery and a second time period after the first use of the first battery. ### Claim 10 (depends on 7) The device of claim 7, wherein the metric data of the first battery is indicative of at least one of a battery identification, a time stamp, a battery total cumulative charge, a battery present charge level, a battery present capacity, a battery rated capacity, a battery health percentage, a battery discharge rate, a battery cycle, a battery temperature, an average current, an average power, a voltage, charge on/off events, a battery charge source, and battery swap data, over the duration of time. ### Claim 11 (depends on 7) The device of claim 7, wherein the one or more other batteries are associated with the first battery based on at least one of: the temperature information of the first battery and the state of charge information of the first battery having a threshold degree of correspondence to historical patterns of temperature information of the one or more other batteries and state of charge information of the one or more other batteries over the duration of time, the metric data of the first battery having a threshold degree of correspondence to historical metric data of the one or more other batteries over the duration of time, usage data of the first battery having a threshold degree of correspondence to historical usage data of the one or more other batteries, and a type of the first battery having a threshold degree of correspondence to the one or more other batteries. ### Claim 12 (depends on 7) The device of claim 7, wherein the instructions, when executed, further cause the one or more processors to: determine that a time period associated with the remaining useful life of the first battery is below a threshold, schedule a replacement of the first battery based on the time period, and transmit a notification associated with the replacement of the first battery to at least one of a user and a device associated with the first battery. ### Claim 13 A method comprising: receiving temperature information of a first battery and state of charge information of the first battery over a duration of time; receiving metric data of the first battery over the duration of time; receiving environment information of the first battery; training a machine learning model based on historical data associated with one or more other batteries; utilizing the trained machine learning model to determine at least one mitigation to extend a remaining useful life of the first battery based on the temperature information, the state of charge information, the metric data, and the environment information; and transmitting, based on the determination, at least one of the at least one mitigation to extend the remaining useful life of the first battery and a notification associated with the first battery. ### Claim 14 (depends on 13) The method of claim 13, wherein the temperature information of the first battery and the state of charge information of the first battery are indicative of at least one of respective time periods of the first battery within respective temperature ranges and respective states of charge during a first state of the first battery over the duration of time, and respective time periods of the first battery within respective temperature ranges and respective states of charge during a second state of the first battery over the duration of time. ### Claim 15 (depends on 14) The method of claim 14, wherein the first state of the first battery is indicative of the first battery being in use, the second state of the first battery is indicative of the first battery not being in use, and the duration of time is indicative of at least one of a first time period prior to a first use of the first battery and a second time period after the first use of the first battery. ### Claim 16 (depends on 13) The method of claim 13, wherein the metric data of the first battery is indicative of at least one of a battery identification, a time stamp, a battery total cumulative charge, a battery present charge level, a battery present capacity, a battery rated capacity, a battery health percentage, a battery discharge rate, a battery cycle, a battery temperature, an average current, an average power, a voltage, charge on/off events, a battery charge source, and battery swap data, over the duration of time. ### Claim 17 (depends on 13) The method of claim 13, wherein the environment information of the first battery is indicative of at least one of a shipping destination of a battery, a shipping method of a battery, geography associated with a battery location, historical weather statistics associated with a battery location, present weather associated with a battery location, a battery storage location, a battery storage location temperature, a battery operating location, and a battery operating location temperature. ### Claim 18 (depends on 13) The method of claim 13, wherein the one or more other batteries are associated with the first battery based on at least one of: the temperature information of the first battery and the state of charge information of the first battery having a threshold degree of correspondence to historical patterns of temperature information of the one or more other batteries and state of charge information of the one or more other batteries over the duration of time, the metric data of the first battery having a threshold degree of correspondence to historical metric data of the one or more other batteries over the duration of time, the environment information of the first battery having a threshold degree of correspondence to historical environment information of the one or more other batteries, usage data of the first battery having a threshold degree of correspondence to historical usage data of the one or more other batteries, and a type of the first battery having a threshold degree of correspondence to the one or more other batteries. ### Claim 19 (depends on 13) The method of claim 13, wherein the determined at least one mitigation to extend the remaining useful life of the first battery is a change in at least one of a shipping method of a battery, a battery storage location, a battery storage location temperature, a battery operating location, a battery operating location temperature, a battery utilization duration, a battery operating method, and a battery charging method. ### Claim 20 (depends on 13) The method of claim 13, wherein transmitting, based on the determination, the at least one of the at least one mitigation to extend the remaining useful life of the first battery and the notification comprises transmitting instructions associated with implementing the at least one mitigation to extend the remaining useful life of the first battery to at least one of a user and a device associated with the first battery. ### Claim 21 A device, comprising: one or more processors; and a non-transitory computer-readable memory coupled to the one or more processors, the memory storing instructions thereon that, when executed by the one or more processors, cause the one or more processors to: receive temperature information of a first battery and state of charge information of the first battery over a duration of time, receive metric data of the first battery over the duration of time, receive environment information of the first battery, train a machine learning model based on historical data associated with one or more other batteries, utilize the trained machine learning model to determine at least one mitigation to extend a remaining useful life of the first battery based on the temperature information, the state of charge information, the metric data, and the environment information, and transmit, based on the determination, at least one of the at least one mitigation to extend the remaining useful life of the first battery and a notification associated with the first battery. ### Claim 22 (depends on 21) The device of claim 21, wherein the temperature information of the first battery and the state of charge information of the first battery are indicative of at least one of respective time periods of the first battery within respective temperature ranges and respective states of charge during a first state of the first battery over the duration of time, and respective time periods of the first battery within respective temperature ranges and respective states of charge during a second state of the first battery over the duration of time. ### Claim 23 (depends on 22) The device of claim 22, wherein the first state of the first battery is indicative of the first battery being in use, the second state of the first battery is indicative of the first battery not being in use, and the duration of time is indicative of at least one of a first time period prior to a first use of the first battery and a second time period after the first use of the first battery. ### Claim 24 (depends on 21) The device of claim 21, wherein the metric data of the first battery is indicative of at least one of a battery identification, a time stamp, a battery total cumulative charge, a battery present charge level, a battery present capacity, a battery rated capacity, a battery health percentage, a battery discharge rate, a battery cycle, a battery temperature, an average current, an average power, a voltage, charge on/off events, a battery charge source, and battery swap data, over the duration of time. ### Claim 25 (depends on 21) The device of claim 21, wherein the environment information of the first battery is indicative of at least one of a shipping destination of a battery, a shipping method of a battery, geography associated with a battery location, historical weather statistics associated with a battery location, present weather associated with a battery location, a battery storage location, a battery storage location temperature, a battery operating location, and a battery operating location temperature. ### Claim 26 (depends on 21) The device of claim 21, wherein the one or more other batteries are associated with the first battery based on at least one of: the temperature information of the first battery and the state of charge information of the first battery having a threshold degree of correspondence to historical patterns of temperature information of the one or more other batteries and state of charge information of the one or more other batteries over the duration of time; the metric data of the first battery having a threshold degree of correspondence to historical metric data of the one or more other batteries over the duration of time; the environment information of the first battery having a threshold degree of correspondence to historical environment information of the one or more other batteries; usage data of the first battery having a threshold degree of correspondence to historical usage data of the one or more other batteries; and a type of the first battery having a threshold degree of correspondence to the one or more other batteries. ### Claim 27 (depends on 21) The device of claim 21, wherein the determined at least one mitigation to extend the remaining useful life of the first battery is a change in at least one of a shipping method of a battery, a battery storage location, a battery storage location temperature, a battery operating location, a battery operating location temperature, a battery utilization duration, a battery operating method, and a battery charging method. ### Claim 28 (depends on 21) The device of claim 21, wherein transmitting, based on the determination, the at least one of the at least one mitigation to extend the remaining useful life of the first battery and the notification comprises transmitting instructions associated with implementing the at least one mitigation to extend the remaining useful life of the first battery to at least one of a user and a device associated with the first battery.