The present technology provides a method of detecting a battery cell having a low voltage defect, including: setting a reference time point when a voltage of a battery is stabilized after a shipping charge, and measuring a first voltage of a battery cell at the reference time point; measuring a second voltage of the battery cell with a temporal interval longer than a period at which a self discharge of the battery cell is suppressed; and determining whether the battery cell has a low voltage defect by comparing a difference (ΔOCV) between the first voltage and the second voltage with a reference value, wherein the reference value is +3 sigma (σ) to +6 sigma (σ) in a normal distribution of a voltage drop amount obtained by the measuring of the first voltage and the measuring of the second voltage for a plurality of normal sample battery cell groups.

A method of predicting a remaining battery life in a device is provided. The method includes obtaining battery state information indicative of a current state of a charge of a battery, the battery being configured to supply power to a device; predicting, by using a machine learning algorithm, a remaining battery life of the device on which a specific application is to be executed, based on the obtained battery state information; and providing, to a user, an indication of the predicted remaining battery life.

The present invention discloses a method for quantitative diagnosis of electricity leakage or micro-short-circuit in single cells based on capacity estimation, comprising the steps as follows: S1 is obtaining the charge-discharge data of the cell; S2 is estimating the charge capacity C.sub.C and discharge capacity C.sub.D of the cell respectively by the traditional method of capacity estimation; S3 is calculating the ratio of discharge capacity to charge capacity and judging that leakage of electricity occurs when the ratio is less than the threshold; S4 is calculating the estimated value of leakage current according to the ratio of discharge capacity to charge capacity. According to the present invention, the quantitative diagnosis of leakage current of the single cell can be realized, which will improve the safety and reliability in use thereof.

Disclosed is a battery state prediction device including a data measurement unit that measures information about a battery and to output first data and a battery state estimation unit that calculates a state of charge (SOC) value of the battery based on the first data, generates second data by pre-processing the first data based on the SOC value, and estimates a state of health (SOH) of the battery based on the second data. The battery state estimation unit calculates the SOC value based on an extended Kalman filter and adjusts a parameter of the extended Kalman filter based on the estimated SOH.

A Battery Backup (BBU) device, method, and system is disclosed. A BBU cell includes a battery with an internal impedance. The BBU cell includes monitoring circuitry connected to the battery for monitoring a Status of Health (SOH) of the battery. The monitoring circuitry includes a MOSFET and a resistor connected in series and a master control unit connected to the MOSFET for controlling the MOSFET and determining the SOH of the battery.

An impedance measurement system configured to measure impedance of a measurement target capable of supplying power to an electrical load device includes one or more processors and one or more memories. The one or more processors are configured to perform a process including: acquiring data about output power from the measurement target when an alternating current signal of at least one frequency is superimposed on the output power; calculating impedance at the at least one frequency with data about an exclusion period when waveform distortion of the output power is detected being excluded; and in a case where how many times the data about the exclusion period is excluded at a certain frequency is greater than or equal to a predetermined threshold value, changing of a setting of an operating condition of an electronic device coupled to the measurement target or the electrical load device.

A method of detecting a latent fault of at least one cell among a plurality of cells in an energy storage system, and a control unit performing the method. The method comprises determining State of Health Cell Resistance, SoHCR, and State of Charge, SoC, of a selected cell, wherein the selected cell is indicated to have a latent fault if a determined value of the SoHCR is higher than a reference value and if a determined value of the SoC is higher than a reference value; or determining State of Health Cell Capacity, SoHCC, and State of Charge, SoC, of a selected cell, wherein the selected cell is indicated to have a latent fault if a determined value of the SoHCC is lower than a reference value and if a determined value of the SoC is higher than a reference value.

Predictive rechargeable battery management is provided, which includes obtaining performance data on a battery cell of multiple rechargeable battery cells within a product, and comparing the performance data of the battery cell to statistical data on battery cell performance of a plurality of battery cells. Further, the managing includes determining, based on the comparing, that performance of the battery cell is trending away from the statistical data of battery cell performance of the plurality of battery cells. Further, the managing includes performing a battery-related action based on the performance of the battery cell trending away from that of the plurality of battery cells.

Provided is a power supply device which includes a plurality of battery modules each having a secondary battery and in which the battery modules are connected in series with one another according to a gate driving signal from a controller. An SOC control target value that is a target value for states-of-charge of the battery modules is changed according to the number of the battery modules that are available to be connected in series.

Operation for performing diagnostics, such as vehicle diagnostics including short circuit and low impedance diagnostics during a high-voltage (HV) battery pre-charging a power-net of the vehicle and including insulation resistance monitoring diagnostics for measuring an insulation resistance between the power-net and another power-net, with reduced processing time includes measuring a physical parameter (voltage or current signal) as the parameter is being generated by a device-under-test to which the diagnostic process pertains. The diagnostic process requires a stable value of the parameter. The parameter variates while being generated during a beginning time and is stable while being generated during an ending time. While the parameter is being generated during the beginning time, a stable value of the parameter which the parameter will have during the ending time is predicted. The stable value of the parameter is predicted based on variation of measured values of the parameter during the beginning time.