G01R31/367

Battery model and control application calibration systems and methods

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.

Methods, storage media, and electronic devices for calculating short-circuit current of battery

A method for calculating a short-circuit current of a battery. includes: obtaining an integral state of charge and a current state of charge of the battery; calculating a first difference based on the integral state of charge and the current state of charge; calculating the short-circuit current of the battery based on the first difference; obtaining a first real state of charge and a second real state of charge; updating the first real state of charge and the second real state of charge based on a temperature-impedance table and the short-circuit current of the battery; calculating a second difference based on the updated first real state of charge and the updated second real state of charge; and updating the short-circuit current of the battery based on the second difference.

Methods, storage media, and electronic devices for calculating short-circuit current of battery

A method for calculating a short-circuit current of a battery. includes: obtaining an integral state of charge and a current state of charge of the battery; calculating a first difference based on the integral state of charge and the current state of charge; calculating the short-circuit current of the battery based on the first difference; obtaining a first real state of charge and a second real state of charge; updating the first real state of charge and the second real state of charge based on a temperature-impedance table and the short-circuit current of the battery; calculating a second difference based on the updated first real state of charge and the updated second real state of charge; and updating the short-circuit current of the battery based on the second difference.

Apparatus and method for managing a battery based on degradation determination

An apparatus and a method for managing a battery are based upon degradation determination of the battery. The method includes determining a charging method when starting charging of a battery, storing at least one of a charge voltage, charge current, and temperature when starting charging of the battery, and when the determined charging method is constant current (CC) charging, determining a state of health (SOH) of the battery by comparing an increase in charge capacity of the battery with respect to an increase in charge voltage of the battery with a CC-section SOH mapping table, or when the determined charging method is constant voltage (CV) charging, determining the SOH of the battery by comparing at least one of an increase in the charge capacity of the battery and a charge time of the battery with a CV-section SOH mapping table.

Apparatus and method for managing a battery based on degradation determination

An apparatus and a method for managing a battery are based upon degradation determination of the battery. The method includes determining a charging method when starting charging of a battery, storing at least one of a charge voltage, charge current, and temperature when starting charging of the battery, and when the determined charging method is constant current (CC) charging, determining a state of health (SOH) of the battery by comparing an increase in charge capacity of the battery with respect to an increase in charge voltage of the battery with a CC-section SOH mapping table, or when the determined charging method is constant voltage (CV) charging, determining the SOH of the battery by comparing at least one of an increase in the charge capacity of the battery and a charge time of the battery with a CV-section SOH mapping table.

Systems and methods for predicting remaining useful life in batteries and assets

In one aspect, a method comprises receiving first data pertaining to a battery pack of a vehicle, wherein the first data is received from sensors associated with the vehicle, and the first data pertains to a battery pack current, a cell voltage, a cell current, a cell temperature, or some combination thereof; receiving second data pertaining to simulation of the battery pack; receiving third data from a manufacturer; receiving historical data on a fleet of vehicles that use the battery pack; predicting a remaining useful life of the battery pack of the vehicle by using a hybrid model comprising a physics-based model that receives the based on the first, second, third, and historical data, and generates properties pertaining to the battery pack; a machine learning model that uses the properties to predict the remaining useful life of each cell of the battery pack; and transmitting the remaining useful life.

Systems and methods for predicting remaining useful life in batteries and assets

In one aspect, a method comprises receiving first data pertaining to a battery pack of a vehicle, wherein the first data is received from sensors associated with the vehicle, and the first data pertains to a battery pack current, a cell voltage, a cell current, a cell temperature, or some combination thereof; receiving second data pertaining to simulation of the battery pack; receiving third data from a manufacturer; receiving historical data on a fleet of vehicles that use the battery pack; predicting a remaining useful life of the battery pack of the vehicle by using a hybrid model comprising a physics-based model that receives the based on the first, second, third, and historical data, and generates properties pertaining to the battery pack; a machine learning model that uses the properties to predict the remaining useful life of each cell of the battery pack; and transmitting the remaining useful life.

STORAGE BATTERY STATE ESTIMATION DEVICE AND STORAGE BATTERY STATE ESTIMATION METHOD
20220390524 · 2022-12-08 · ·

To provide a storage battery state estimation device that can accurately perform deterioration diagnosis even when there is no characteristic information of a storage battery.

The storage battery state estimation device includes: a baseline function estimation unit for separating a data point sequence including a capacity and differential voltage of a storage battery into a baseline point sequence and a peak point sequence, and estimating a baseline function on the basis of the baseline point sequence; a peak function estimation unit for estimating a peak function on the basis of the peak point sequence; a model function estimation unit for estimating a model function on the basis of the baseline function and the peak function; an error peak detection unit for detecting presence or absence of an error peak.

STORAGE BATTERY STATE ESTIMATION DEVICE AND STORAGE BATTERY STATE ESTIMATION METHOD
20220390524 · 2022-12-08 · ·

To provide a storage battery state estimation device that can accurately perform deterioration diagnosis even when there is no characteristic information of a storage battery.

The storage battery state estimation device includes: a baseline function estimation unit for separating a data point sequence including a capacity and differential voltage of a storage battery into a baseline point sequence and a peak point sequence, and estimating a baseline function on the basis of the baseline point sequence; a peak function estimation unit for estimating a peak function on the basis of the peak point sequence; a model function estimation unit for estimating a model function on the basis of the baseline function and the peak function; an error peak detection unit for detecting presence or absence of an error peak.

APPARATUS AND METHOD FOR DIAGNOSING BATTERY

There is provided an apparatus for diagnosing whether or not an error has occurred in battery cells, the apparatus including a voltage measurement circuit for measuring a voltage of a battery cell, a data processing circuit for calculating a target statistical value indicating a state of the battery cell based on a voltage measured by the voltage measurement circuit, and calculates a cumulative statistical value, and a diagnosis circuit that determines whether or not an error has occurred in the battery cell through a cumulative determination operation of comparing the cumulative statistical value with a cumulative reference value, and counts a number of times of cumulative error when it is determined that the error has occurred in the battery cell in the cumulative determination operation.