Abstract:
A battery management method includes verifying variance information of a physical quantity of each of a plurality of batteries, and identifying a target battery among the batteries based on the variance information. The battery management method also includes determining pack state information of a battery pack comprising the batteries based on state information of the target battery.
Abstract:
An apparatus and method for cooking at a constant temperature in an oven including performing a temperature raising operation of operating at least one of at least one heater and at least one circulation fan until a temperature of a preset ratio of a set temperature is reached, continuing the operating at the set temperature for a preset period, and setting an operation level by considering a temperature of the oven at an end of a current period and a temperature of the oven at a start of the current period. The method includes performing a temperature maintaining operation of operating at least one of the at least one heater and the at least one circulation fan for one period according to the set operation level, and repeating the setting of the operation level and the temperature maintaining operation until cooking is completed.
Abstract:
A battery state estimation method includes acquiring an initial value of a vector-type parameter for modeling an electrochemical-thermal (ECT) model of a battery, extracting a predetermined point from the vector-type parameter based on the initial value, generating a target parameter based on the predetermined point, to minimize an error between an actual state of the battery and a state of the battery acquired from the ECT model, and estimating the state of the battery based on the target parameter.
Abstract:
Provided is a battery management method and apparatus. The battery management method includes acquiring physical quantity data, for each of a plurality of batteries, of when corresponding physical quantities of the plurality of batteries, making up the physical quantity data, dynamically vary, calculating unbalance data based on physical quantity difference information derived from the physical quantity data, calculating feature data for the physical quantity data by projecting the unbalance data to a feature space, and determining a battery safety for one or more of the plurality of batteries based on determined distribution information of the feature data.
Abstract:
A method and an apparatus for monitoring battery state are provided. A method of monitoring battery state involves collecting vibration information based on a signal from an acceleration sensor, calculating a cumulative impact based on the vibration information, and estimating a degree of damage to a battery based on the cumulative impact.
Abstract:
A method and an apparatus to estimate a battery state include a sensor, a data extractor, and a state estimator. The sensor is configured to sense charging voltage data, and the data extractor is configured to extract partial data corresponding to a section from the sensed charging voltage data. The state estimator is configured to estimate a state of a current battery using the extracted partial data.
Abstract:
A battery state estimating apparatus includes a learner configured to learn a battery state estimation model comprising a label corresponding to a battery state; and a state estimator configured to estimate a battery state of a target battery using the battery state estimation model.