Abstract: Disclosed is a battery cell diagnosing apparatus, which includes at least one sensor; and a first control unit configured to obtain data including at least one of voltage, current or temperature of a battery cell from the at least one sensor, obtain first diagnostic information based on the obtained data, transmit the data to an external device, receive second diagnostic information of the battery cell based on the data from the external device, and diagnose an abnormal state of the battery cell based on at least one of the first diagnostic information and the second diagnostic information.

Abstract: A battery diagnosis apparatus according to the present disclosure is directed to providing a battery diagnosis apparatus, a battery pack, an electric vehicle and a battery diagnosis method for diagnosing anomalies in a single battery cell or each of a plurality of battery cells connected in series using time-dependent changes in cell voltage of each battery cell without a process of comparing the cell voltage of each battery cell with the cell voltage of other battery cell(s).

Abstract: According to aspects of the disclosure, a battery diagnosis apparatus includes: a sensor configured to generate first open circuit voltage (OCV) data by measuring an OCV from a diagnosis target battery; and a controller configured to: obtain first SOC data regarding a state of charge (SOC) of the diagnosis target battery based on the first OCV data, derive second SOC data for estimating the SOC of the diagnosis target battery based on the first SOC data, obtain second OCV data of the diagnosis target battery based on the second SOC data, and diagnose a state of the diagnose target battery based on the first OCV data and the second OCV data.

Abstract: A battery management system includes a sensing circuit to acquire a state parameter of each of a plurality of battery cells connected in series; and a control circuit to determine, for each battery cell, a first state of charge (SOC) change which is a difference between a first SOC at a first charge time and a second SOC at a second charge time by applying a SOC estimation algorithm to the state parameter acquired during charging. The control circuit determines a reference factor by applying a statistical algorithm to the first SOC changes of at least two of the plurality of battery cells. The control circuit detects an internal short circuit fault in each battery cell based on the first SOC change of each battery cell and the reference factor.

Abstract: Disclosed is an apparatus and method for detecting a latent defective cell in a battery pack. In the apparatus according to the present disclosure, during charging of the battery pack according to a charging profile having a plurality of charging ranges, for each of first to N-th cells in each charging range, a controller is configured to acquires first cell voltage time-series data (measured data) in a former part of each of the plurality of charging ranges. Additionally, the controller is configured to determines predicted cell voltage time-series data in a latter part of each of the plurality of charging ranges by applying a deep learning model to the first cell voltage time-series data.

Abstract: Disclosed is a battery cell diagnosing apparatus, which includes a current measuring unit configured to measure a current of a battery cell; a voltage sensing unit configured to sense a cell voltage of the battery cell; and a first control unit configured to transmit first information of the battery cell including data obtained from the current measuring unit and the voltage sensing unit to an external device, receive second information including diagnostic information of the battery cell obtained based on the first information from the external device, and diagnose an abnormal state of the battery cell based on the first information and the second information.

Abstract: Aspects of the disclosed technology include techniques, a mechanism, and an apparatus for diagnosing a battery. One or more processors may measure voltages of a plurality of batteries and, based on the measured voltages, determine a voltage deviation of the plurality of batteries. The one or more processors may determine a voltage deviation variation of each battery of the plurality of batteries at predetermined times periods and may compare a pattern of the voltage deviation variations of each battery of the plurality of batteries with a preset diagnosis pattern to diagnose a state of each of the plurality of batteries.

Abstract: Disclosed is a battery cell diagnosing apparatus, which includes a current measuring unit configured to measure a current of a battery cell; a voltage sensing unit configured to sense a cell voltage of the battery cell; and a first control unit configured to transmit first information of the battery cell including data obtained from the current measuring unit and the voltage sensing unit to an external device, receive second information including diagnostic information of the battery cell obtained based on the first information from the external device, and diagnose an abnormal state of the battery cell based on the first information and the second information.

Abstract: Disclosed is a battery abnormality diagnosing apparatus and method. The apparatus includes a controller for diagnosing a lithium precipitation abnormality of a battery. The controller is configured to calculate a charge capacity and a discharge capacity in a kth charge/discharge cycle, determine a capacity difference between the charge capacity and the discharge capacity, determine a kth capacity difference change amount by subtracting the capacity difference of the kth charge/discharge cycle from the capacity difference of a k?1th charge/discharge cycle, update an accumulated capacity difference change amount by adding the kth capacity difference change amount to the accumulated capacity difference change amount, and determine occurrence the lithium precipitation abnormality in response to the updated accumulated capacity difference being greater than or equal to a threshold value.

Abstract: A battery diagnosis apparatus includes a battery monitor to detect a voltage of each of a plurality of battery cells included in a battery module; and a control circuit to determine a latest value of a first voltage deviation indicating a difference between a voltage behavior of each battery cell and an average voltage behavior of the plurality of battery cells over a relaxation period from a start time of a resting event.

Abstract: A battery management system includes: a voltmeter that measures a voltage of each of a plurality of battery banks; and a controller. The controller selects a first value based on the first value, which is a voltage variation amount of each of the plurality of battery banks during a predetermined time interval, and a second value, which is a standard deviation of a voltage variation amount of each of the plurality of battery banks per unit time; ranks the plurality of battery banks based on a first reference value, which is a ratio of the selected first value to an average value of the selected first value; and diagnoses an abnormality of at least one battery bank among the plurality of battery banks at a designated time point based on the ranked plurality of battery banks.

Abstract: Aspects of the disclosed technology include techniques, a mechanism, and an apparatus for diagnosing a battery. One or more processors may measure voltages of a plurality of batteries and, based on the measured voltages, determine a voltage deviation of the plurality of batteries. The one or more processors may determine a voltage deviation variation of each battery of the plurality of batteries at predetermined times periods and may compare a pattern of the voltage deviation variations of each battery of the plurality of batteries with a preset diagnosis pattern to diagnose a state of each of the plurality of batteries.

Abstract: Aspects of the disclosed technology include techniques, a mechanism, and an apparatus for diagnosing a battery. One or more processors may measure voltages of a plurality of batteries and, based on the measured voltages, determine a voltage deviation of the plurality of batteries. The one or more processors may determine a voltage deviation variation of each battery of the plurality of batteries at predetermined times periods and may compare a pattern of the voltage deviation variations of each battery of the plurality of batteries with a preset diagnosis pattern to diagnose a state of each of the plurality of batteries.

Abstract: A battery diagnosis apparatus includes a battery monitor to detect a voltage of each of a plurality of battery cells included in a battery module; and a control circuit to determine a latest value of a first voltage deviation indicating a difference between a voltage behavior of each battery cell and an average voltage behavior of the plurality of battery cells over a relaxation period from a start time of a resting event.

Abstract: A battery diagnosis device for a battery including a parallel connection structure of unit cells includes a processor and memory having programmed thereon instructions that, when executed, are configured to cause the processor to collect charge/discharge data including a voltage time series indicating a time-dependent change of a voltage across the battery and a current time series indicating a time-dependent change of a charge/discharge current flowing through the battery; determine an estimated capacity value indicating a full charge capacity of the battery based on the charge/discharge data; and diagnose an abnormality in the parallel connection structure by monitoring a time-dependent change of the estimated capacity value.

Abstract: A battery management system includes a battery monitor, a balancer and a control circuit to control the balancer. The control circuit determines a first voltage value indicating a no-load voltage of each battery, compensates the first voltage value of each battery using a balancing capacity of each battery by a balancing operation for a latest reference time, determines a voltage deviation or a difference between the compensated first voltage value of each battery and a reference voltage value, and detects an internal short circuit fault in each battery by comparing a change amount of the voltage deviation of each battery for the reference time with a threshold.

Abstract: Disclosed is a battery cell diagnosing apparatus, which includes a current measuring unit configured to measure a current of a battery cell; a voltage sensing unit configured to sense a cell voltage of the battery cell; and a first control unit configured to transmit first information of the battery cell including data obtained from the current measuring unit and the voltage sensing unit to an external device, receive second information including diagnostic information of the battery cell obtained based on the first information from the external device, and diagnose an abnormal state of the battery cell based on the first information and the second information.

Abstract: Disclosed is an apparatus and method for controlling power of a parallel multi pack system. The power control apparatus includes first to nth sensor units measuring operation characteristic values of first to nth battery packs connected in parallel; a power management unit controlling a power consumed in a load or a power provided by a charging device; and a multi pack management unit that: determines a pack resistance of each of the battery packs based on the operation characteristic value of each battery pack received from the sensor units, determines a minimum available power among available powers respectively corresponding to the pack resistances of the battery packs, determines a total power of the parallel multi pack system so the pack power of a battery pack having a lowest pack resistance becomes identical to the minimum available power, and transmit the determined total power to the power management unit.

Abstract: Disclosed is a battery cell diagnosing apparatus, which includes a current measuring unit configured to measure a current of a battery cell; a voltage sensing unit configured to sense a cell voltage of the battery cell; and a first control unit configured to transmit first information of the battery cell including data obtained from the current measuring unit and the voltage sensing unit to an external device, receive second information including diagnostic information of the battery cell obtained based on the first information from the external device, and diagnose an abnormal state of the battery cell based on the first information and the second information.

Abstract: A battery diagnosis apparatus according to the present disclosure is directed to providing a battery diagnosis apparatus, a battery pack, an electric vehicle and a battery diagnosis method for diagnosing anomalies in a single battery cell or each of a plurality of battery cells connected in series using time-dependent changes in cell voltage of each battery cell without a process of comparing the cell voltage of each battery cell with the cell voltage of other battery cell(s).