Provided are a battery management system, a battery management method, a battery pack and an electric vehicle. The battery management system includes a sensing unit to generate battery information indicating a current, a voltage and a temperature of a battery, and a control unit. The control unit determines a temporary estimate for a SOC in a current cycle using a time update process of an extended Kalman filter based on a previous estimate indicating a SOC in a previous cycle and the battery information. The control unit determines open circuit voltage (OCV) information based on the temporary estimate. The control unit determines a definitive estimate indicating the SOC in the current cycle using a measurement update process of the extended Kalman filter based on the temporary estimate, the OCV information and the battery information.

Systems, methods, and devices are provided for estimating a state-of-health (SOH) in an energy storage system, where the estimate accounts for both power fade and capacity fade. The SOH estimation system comprises a SOH estimation module configured to receive, and to determine the estimate of the SOH based on: a nominal capacity input; a voltage input; a current input; a nominal open circuit voltage curve; an operational resistance model; a nominal resistance model; an operational dynamic model; and a rated discharge current. The SOH estimation module may further comprise a SOH aggregation module configured to receive a power rating estimate, PR.sub.n, and a normalized capacity estimate, NC.sub.n, and may be configured to determine the estimate of the SOH based on the power rating estimate, PR.sub.n, and the normalized capacity estimate, NC.sub.n.

Systems, methods, and devices are provided for estimating a state-of-health (SOH) in an energy storage system, where the estimate accounts for both power fade and capacity fade. The SOH estimation system comprises a SOH estimation module configured to receive, and to determine the estimate of the SOH based on: a nominal capacity input; a voltage input; a current input; a nominal open circuit voltage curve; an operational resistance model; a nominal resistance model; an operational dynamic model; and a rated discharge current. The SOH estimation module may further comprise a SOH aggregation module configured to receive a power rating estimate, PR.sub.n, and a normalized capacity estimate, NC.sub.n, and may be configured to determine the estimate of the SOH based on the power rating estimate, PR.sub.n, and the normalized capacity estimate, NC.sub.n.

Disclosed is an apparatus for non-destructive-type diagnosis of a degree of degradation of a battery. The apparatus includes: a chamber inside which a battery subject to inspection is arranged; a charging and discharging unit connected to a lead portion of the battery and charging or discharging the battery; a thermoelectric element module thermally connected to the battery and generating an electromotive force caused by heat generated by charging and discharging the battery; a first measurement unit measuring the electromotive force generated by the thermoelectric element module; a second measurement unit measuring a change in impedance due to the charging and discharging of the battery; and a determination unit comparing data on the electromotive force of the battery, measured by the first measurement unit, and data on the impedance of the battery, measured by the second measurement unit, with pre-prepared comparative data and determining a degree of degradation of the battery.

Disclosed is an apparatus for non-destructive-type diagnosis of a degree of degradation of a battery. The apparatus includes: a chamber inside which a battery subject to inspection is arranged; a charging and discharging unit connected to a lead portion of the battery and charging or discharging the battery; a thermoelectric element module thermally connected to the battery and generating an electromotive force caused by heat generated by charging and discharging the battery; a first measurement unit measuring the electromotive force generated by the thermoelectric element module; a second measurement unit measuring a change in impedance due to the charging and discharging of the battery; and a determination unit comparing data on the electromotive force of the battery, measured by the first measurement unit, and data on the impedance of the battery, measured by the second measurement unit, with pre-prepared comparative data and determining a degree of degradation of the battery.

An electronic device includes: a first processor; a load that operates with power supplied by a rechargeable battery; and a first sensor that obtains information on an output voltage of the rechargeable battery. The first processor determines whether the rechargeable battery is in a low usage state with regard to power supply by the rechargeable battery. Based on the information obtained by the first sensor, the first processor determines a degree of decrease in the output voltage over a period of time during which the rechargeable battery is determined to be in the low usage state. Based on the determined degree of decrease, the first processor detects a deterioration of the rechargeable battery.

An electronic device includes: a first processor; a load that operates with power supplied by a rechargeable battery; and a first sensor that obtains information on an output voltage of the rechargeable battery. The first processor determines whether the rechargeable battery is in a low usage state with regard to power supply by the rechargeable battery. Based on the information obtained by the first sensor, the first processor determines a degree of decrease in the output voltage over a period of time during which the rechargeable battery is determined to be in the low usage state. Based on the determined degree of decrease, the first processor detects a deterioration of the rechargeable battery.

An apparatus and a method for predicting a state of a battery are provided. The apparatus includes a data measuring unit that measures information about the battery and outputs first data, a data producing unit that reflects a change in available capacity of the battery based on at least a portion of the first data to calculate a corrected state of charge and processes the first data based on the corrected state of charge to generate second data, and outputs the second data, and a battery state estimating unit that estimates state information of the battery based on the second data.

An apparatus and a method for predicting a state of a battery are provided. The apparatus includes a data measuring unit that measures information about the battery and outputs first data, a data producing unit that reflects a change in available capacity of the battery based on at least a portion of the first data to calculate a corrected state of charge and processes the first data based on the corrected state of charge to generate second data, and outputs the second data, and a battery state estimating unit that estimates state information of the battery based on the second data.

A battery internal temperature information processing method, a computer device, and a storage medium that first acquire off-line testing data for off-line testing a battery module and construct an equivalent thermal network model from the off-line testing data, determine optimal model parameters of the equivalent thermal network model based on a multi-objective function fitting method; thereafter, a first battery internal temperature estimate of the battery of the vehicle at a first moment in actual operation of the vehicle is determined, in turn, based on the acquired initial state vector values of the battery of the vehicle, first operational data at a first moment in actual operation of the vehicle, and an equivalent thermal network model including the optimal model parameters.