A battery tester includes a pair of battery clamps, a testing unit, and a pair of holsters. Each battery clamp is configured to connect to a terminal of a battery. The testing unit includes testing circuitry that is connected to the battery clamps, and is configured to perform one or more battery tests on a battery connected to the battery clamps. Each of the holsters is attached to a housing of the testing unit, and is configured to receive and hold one of the battery clamps.

A battery diagnostic system includes a superimposed current applying unit, a current value acquiring unit, a voltage value acquiring unit, an impedance calculating unit, and a diagnostic unit. The superimposed current applying unit configured to apply a superimposed current formed by superimposing a plurality of frequency components to a battery. The current value acquiring unit acquires the current value of the superimposed current applied to the battery. The voltage value acquiring unit acquires a battery voltage of the battery to which the superimposed current is applied. The impedance calculating unit calculates impedance for each of a plurality of frequency components using discrete Fourier transform from the superimposed current and the battery voltage. The diagnostic unit diagnoses the battery based on the impedance.

Method for determining the state of health of a lithium-ion battery A method for determining the state of health (SOH) of a lithium-ion battery (1), comprising: a first step (E1) of determining a function (f) of the incremental capacity of the battery, a second step (E2) of identifying peaks (P1, P2, P3) of the function (f) determined in the first step (E1), a third step (E3) of determining voltages (U1, U2, U3) across the terminals of the battery (1) for which said peaks (P1, P2, P3) are obtained, a fourth step (E4) of determining the amplitudes of said peaks (P1, P2, P3), a sixth step (E6) of determining the state of health (SOH) of the battery (1) on the basis of a degradation mode of the battery and on the basis of the amplitudes determined in the fourth step (E4).

The battery unit includes: a battery module including a battery cell; a battery heat flow detector configured to detect a heat flow of the battery cell; a storage configured to store heat flow HF vs. state of charge SOC initial characteristics of the battery cell; and a battery state estimator configured to estimate a state of health SOH of the battery cell. The battery state estimator measures, during charge of the battery cell, HF vs. SOC present characteristics of the battery cell, based on the detected heat flow of the battery cell, and estimates a state of health SOH of the battery cell, from a ratio between a length mAh of a line segment between peaks of differential characteristics of the measured HF vs. SOC present characteristics and a length mAh of a line segment between peaks of differential characteristics of the stored HF vs. SOC initial characteristics.

Based on changes in a battery (e.g., age, temperature) of an electronic device, battery power prediction and correction logic of the electronic device may correct a power capability and/or regulate power associated with the battery. For example, the battery power prediction and correction logic may operate the battery to supply up to a maximum of a power capability with an applied correction factor based on a voltage measurement and a cutoff voltage associated with the battery.

There are provided a battery management apparatus, a battery management method and a battery pack. The battery management apparatus sets at least one of a plurality of external variables as a valid external variable for each internal variable using a plurality of observational data sets associated with the external variables that can be observed outside a battery cell and a plurality of desired data sets associated with the internal variables that are unobservable outside the battery cell. The observational data set associated with respective valid external variable is used for the machine learning of sub-multilayer perceptron necessary to estimate respective internal variable.

An apparatus which diagnoses a battery by detecting an abnormal voltage drop phenomenon of a battery cell includes a voltage measuring circuit, a current measuring circuit, a voltage estimating circuit, and a control circuit. The voltage measuring circuit measures a voltage across both terminals of a battery cell. The current measuring circuit measures the current flowing through either terminal of a battery cell. The voltage estimating circuit, based on current and a status estimation model, calculates an estimated voltage level. The diagnostic circuit calculates a voltage level difference between a voltage level measured by the voltage measuring circuit and an estimated voltage level, and, based on the voltage level difference and a reference value, determines whether or not an error has occurred in the battery cell. The control circuit includes a control circuit which, according to an estimation accuracy of the estimated voltage level, adjusts a reference value.

A method and device for determining an available capacity of a battery, a battery management system, and a storage medium, relating to the field of battery technologies. The method includes: obtaining the at least one DOD interval corresponding to the SOC interval of the operation of the battery, and the number of cycles and the cycle temperature corresponding to the at least one DOD interval; obtaining a recoverable amount of capacity fade of the battery according to the at least one DOD interval, the number of cycles and the cycle temperature, and determining an actual available capacity of the battery.

Provided are a method and a system for optimizing a BMS model. The method includes: creating a BMS model based on test data of a battery; selecting sample vehicles from real driving data of vehicles equipped with this type of battery through active learning approach, and giving a corresponding weight to each of the selected sample vehicles; optimizing the BMS model based on the data of the selected sample vehicles.

A method for setting a charging power limit of a battery when charging the battery, including a reference charging power limit setting step of setting a referential predetermined charging power limit, a real-time charging power limit calculation step of calculating a real-time charging power limit in real-time according to a real-time voltage of the battery, a real-time charging power limit setting step of setting a charging power limit of the battery to the real-time charging power limit calculated in the real-time charging power limit calculation step, and a charging power limit restoring step of restoring the real-time charging power limit set in the real-time charging power limit setting step to the referential predetermined charging power limit.