A battery data management system includes a communication device for obtaining state data of a battery from a battery management system and transmitting the state data of the battery to an outside and a management server for managing the state data of the battery, received from the communication device through a first network.

A method for identifying a cell quality during cell formation includes: conducting a beginning of life cycling following an initial cell formation charge of multiple cells; collecting and preprocessing a discharge data set generated by one of the multiple cells during the beginning of life cycling; calculating a statistical variance from the discharge data set identifying an estimated probability of meeting a target cell usage time; and projecting a life span of the multiple cells.

A method for identifying a cell quality during cell formation includes: conducting a beginning of life cycling following an initial cell formation charge of multiple cells; collecting and preprocessing a discharge data set generated by one of the multiple cells during the beginning of life cycling; calculating a statistical variance from the discharge data set identifying an estimated probability of meeting a target cell usage time; and projecting a life span of the multiple cells.

A current of a storage battery is appropriately controlled depending on the situation. In a battery controller, a battery information acquiring unit acquires information on the storage battery. A first allowable current calculating unit calculates a first allowable current of a battery module in accordance with a rated value of a component through which a current flows by charging or discharging of the battery module. A second allowable current calculating unit calculates a second allowable current of the battery module in accordance with an SOC of the battery module on the basis of the information acquired by the battery information acquiring unit. A third allowable current calculating unit calculates a third allowable current of the battery module in accordance with an SOH of the battery module on the basis of the information acquired by the battery information acquiring unit.

An apparatus and method for tracking a battery cell is disclosed, for a device having one or more sensors and a controller with a processor and tangible, non-transitory memory. The method includes obtaining respective sensor data relative to an anode and a cathode. A predicted anode capacity and predicted cathode capacity are determined based on the respective sensor data. The predicted anode capacity and predicted cathode capacity each have a respective variance value. An updated set of variables and updated respective variance values are generated based in part on the predicted anode capacity, the predicted cathode capacity and a measured equilibrium voltage, via a Kalman filter module executed by the controller. The updated set of variables include an updated anode capacity and an updated cathode capacity. Operation of the device is controlled based in part on the updated set of variables and updated respective variance values.

An apparatus and method for tracking a battery cell is disclosed, for a device having one or more sensors and a controller with a processor and tangible, non-transitory memory. The method includes obtaining respective sensor data relative to an anode and a cathode. A predicted anode capacity and predicted cathode capacity are determined based on the respective sensor data. The predicted anode capacity and predicted cathode capacity each have a respective variance value. An updated set of variables and updated respective variance values are generated based in part on the predicted anode capacity, the predicted cathode capacity and a measured equilibrium voltage, via a Kalman filter module executed by the controller. The updated set of variables include an updated anode capacity and an updated cathode capacity. Operation of the device is controlled based in part on the updated set of variables and updated respective variance values.

An energy storage system can comprise a stack of multiple battery modules, a plurality of ultrasound emitter transducers, a plurality of ultrasound receiving transducers, one or more excitation modules, one or more capture modules, and an ultrasound battery management system. Each ultrasound emitter transducer and each ultrasound receiving transducer can be acoustically coupled to a surface of a respective one of the battery modules. The excitation module(s) can be electrically interfaced with the plurality of ultrasound emitter transducers, and the capture module(s) can be electrically interface with the plurality of ultrasound receiving transducers. The ultrasound battery management system controller can be configured to initiate battery module ultrasound interrogation sequences.

A fractional-order KiBaM battery model considering nonlinear capacity characteristics and a parameter identification method includes a temporary capacity portion and an available capacity portion for describing nonlinear capacity characteristics of a battery, wherein the temporary capacity portion represents the power that can be directly obtained during the discharge, indicating the state of charge (SOC) of the battery; the available capacity portion represents the power that cannot be directly obtained, and such two portions are connected; when the battery is discharged, the load current i flows out from the temporary capacity portion, and a power passing rate coefficient of such capacity portions is obtained; and the nonlinear capacity effect and recovery effect of the battery are denoted by the height ratio of the temporary capacity and available capacity portions in view of the magnitude of the fractional order of battery capacity characteristics.

A fractional-order KiBaM battery model considering nonlinear capacity characteristics and a parameter identification method includes a temporary capacity portion and an available capacity portion for describing nonlinear capacity characteristics of a battery, wherein the temporary capacity portion represents the power that can be directly obtained during the discharge, indicating the state of charge (SOC) of the battery; the available capacity portion represents the power that cannot be directly obtained, and such two portions are connected; when the battery is discharged, the load current i flows out from the temporary capacity portion, and a power passing rate coefficient of such capacity portions is obtained; and the nonlinear capacity effect and recovery effect of the battery are denoted by the height ratio of the temporary capacity and available capacity portions in view of the magnitude of the fractional order of battery capacity characteristics.

One embodiment of the present disclose describes systems and methods responsible for reducing errors in a battery model used in the operation of a battery control system. The battery control system may operate based on a modeled response of the battery derived from the battery model. If the battery model is not calibrated/validated, errors in the battery model may propagate through the modeled response of the battery to the operation of the battery control system. A calibration current pulse may result in a different measured response of the battery than the modeled response of the battery to the same calibration current pulse. A validation technique, which uses a difference between the modeled response and the measured response of the battery to the calibration current pulse as a method to calibrate the battery model, may protect the battery control system from the contribution of errors from an uncalibrated battery model.