BATTERY LIFE PREDICTION DEVICE AND OPERATING METHOD THEREOF

    公开(公告)号:US20240036119A1

    公开(公告)日:2024-02-01

    申请号:US18206347

    申请日:2023-06-06

    CPC classification number: G01R31/392 G01R31/367

    Abstract: A battery life prediction device, including a state data generator configured to receive information about a battery in real time and to generate state-of-health data; a state data storage configured to store the state-of-health data and past state data; and a battery life calculator configured to: generate a health state model based on the past state data, generate state prediction data based on the state-of-health data using the health state model, determine whether to modify the health state model based on the state prediction data and the state-of-health data, and calculate a remaining life of the battery, wherein the generating of the health state model includes generating an initial model including a non-linear function, determining an initial model coefficient using a least squares approximation based on the past state data, and generating the health state model based on the initial model coefficient and the initial model

    BATTERY RISK EVALUATION DEVICE AND OPERATING METHOD THEREOF

    公开(公告)号:US20240036118A1

    公开(公告)日:2024-02-01

    申请号:US18199571

    申请日:2023-05-19

    CPC classification number: G01R31/392 G01R31/3648 G01R31/367 G01R31/374

    Abstract: A battery risk assessment device for a battery module including a plurality of battery cells, including a data measurement unit configured to generate sensing data corresponding to the battery module, wherein the sensing data include cell voltage data comprising voltage information about the plurality of battery cells, cell temperature data comprising temperature information about the plurality of battery cells, module voltage data comprising information about a voltage output from the battery module, and module current data comprising information about a current output from the battery module; a deviation calculator configured to: calculate diffusion resistance data of the plurality of battery cells by using a Thevenin equivalent circuit of the battery module, and calculate deviation information based on the sensing data and the diffusion resistance data, wherein the deviation information indicates at least one from among a voltage deviation of the plurality of battery cells, a temperature deviation of the plurality of battery cells, and a diffusion resistance deviation of the plurality of battery cells; and a risk assessment unit configured to determine a battery risk state based on the deviation information.

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