Samsung Electronics Co., Ltd.

Samsung Sdi Co., Inc.

SangDo Park

Kaeweon You

Young Hun Sung

Tae Won Song

Tae Kyung Lee

Jinho Kim

Sun-Jae Lee

Sungick Kim

A processor-implemented battery management method includes: estimating state information of a plurality of battery cells in a battery pack using a first battery state estimation model; determining whether state information of at least one of the plurality of battery cells is to be estimated using a second battery state estimation model; and estimating the state information of the at least one battery cell using the second model, in response to a result of the determining being that the state information of the at least one battery cell is to be estimated using the second model.

Method and apparatus with battery management

A processor-implemented method of estimating a state of a battery includes acquiring current information and voltage information of a battery; determining time interval values based on the acquired current information such that current integration values corresponding to the time variation values satisfy a condition; determining voltage values corresponding to the determined time interval values in the acquired voltage information; and determining state information of the battery based on the determined voltage values.

Apparatus and method with battery state estimation

According to one aspect, a method to estimate a state of a battery includes receiving physical quantity information about a sensed physical quantity of a battery, obtaining estimated information of the battery from a battery model based on the received physical quantity information. The battery model includes a training model configured to determine internal battery information comprising potential information of an internal material of the battery based on the physical quantity information and a mathematical function. The method further includes calculating an ion concentration in the battery using the mathematical function based on the internal battery information to determine the estimated information of the battery.

Method and apparatus for estimating state of battery

Disclosed is a battery state estimation method and apparatus, the method includes extracting data from target intervals in sensing data of a battery, generating feature vectors of the data extracted from each of the target intervals, applying a weight to each of the generated feature vectors, merging the feature vectors to which the weight is applied, and determining state information of the battery based on the merging.

A battery state estimation method and apparatus are provided. Sensing data of a battery is received, and feature information is acquired by preprocessing the sensing data. The preprocessed sensing data is selected based on the feature information, and state information of the battery is determined based on at least one of the selected preprocessed sensing data or previous state information of the battery.

A method of estimating a life of a battery includes acquiring density data based on battery sensing data, determining a density feature based on the density data using clusters generated by clustering a density data set based on a plurality of battery management profiles, and estimating the life of the battery based on the density feature.

An apparatus for estimating a state of a battery including a data receiver configured to receive module data associated with a battery module included in a battery pack from the battery module, and a processor configured to acquire cell data corresponding to a battery cell included in the battery module from the module data, and determine a module state of the battery module based on the cell data.

A battery state estimation method and apparatus. The apparatus includes a time detector configured to detect a time during which a voltage level of a battery, being partially charged and discharged, changes through a constant current charge. The apparatus also includes a state of health (SoH) information estimator configured to estimate SoH information of the battery with the changed voltage level and the detected time, based on predetermined reference information.

Provided is a battery state estimation apparatus and method that determine a validity of a battery model, which is dependent on a parameter, based on state information of a battery that is estimated from battery information of the battery, transmit an update request for the battery model to an external battery model provider in response to a result of the determining indicating that the battery model is invalid, receive another parameter in response to the update request, and update the battery model based on the other parameter.

Battery state estimation apparatus and method

A method of estimating battery state information includes collecting battery information; partitioning the collected battery information into interval information in a predetermined range; accumulating the interval information; and estimating the battery state information based on the accumulated interval information and learning information determined in advance. A method of learning battery state information includes collecting battery information; partitioning the collected battery information into interval information in a predetermined range; accumulating the interval information; and determining learning information based on the accumulated interval information and reference information of a battery, the learning information being used to estimate the battery state information.

Method and apparatus for learning and estimating battery state information

A method and apparatus for estimating a state of a battery are provided. A battery life estimation apparatus includes a time information accumulator configured to partition sensing data of a battery into sections, and to accumulate time information corresponding to the sections. The battery life estimation apparatus also includes a time information extractor configured to extract time information corresponding to a period from the accumulated time information. The battery life estimation apparatus further includes a life estimator configured to extract expected time information based on the accumulated time information, the time information corresponding to the period, and learning information, and configured to estimate an end of life (EOL) of the battery based on the expected time information.

A battery state estimation apparatus includes a sensing data acquirer configured to acquire sensing data of a battery. The apparatus further includes a state of health (SOH) information estimator configured to divide the sensing data based on a predetermined time interval, extract a segment comprising a predetermined number of items of the divided sensing data, and estimate SOH information of the battery based on the segments.

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Seoul, South Korea

SangDo Park