METHOD AND APPARATUS WITH BATTERY STATE ESTIMATION

    公开(公告)号:US20210165047A1

    公开(公告)日:2021-06-03

    申请号:US16857377

    申请日:2020-04-24

    Abstract: A method with battery state estimation may include: generating a plurality of electrochemical-thermal (ECT) models corresponding to modeling conditions based on an arbitrary parameter of an ECT model configured to perform modeling of a battery; determining a target parameter of the ECT model based on an error between an actual state of the battery and a model-derived state of the battery obtained by a parallel operation of the plurality of ECT models; and estimating a state of the battery based on the target parameter.

    METHOD AND APPARATUS FOR ESTIMATING STATE OF BATTERY
    2.
    发明申请
    METHOD AND APPARATUS FOR ESTIMATING STATE OF BATTERY 审中-公开
    电池状态估算方法与装置

    公开(公告)号:US20160003917A1

    公开(公告)日:2016-01-07

    申请号:US14567511

    申请日:2014-12-11

    CPC classification number: G01R31/392 G01R31/367

    Abstract: 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.

    Abstract translation: 一种电池状态估计方法和装置。 该装置包括:时间检测器,被配置为检测电池的部分充电和放电的电压电平通过恒定电流充电而改变的时间。 该装置还包括基于预定的参考信息,配置为基于预定的参考信息来估计具有改变的电压电平和检测的时间的电池的SoH信息的健康状态(SoH)信息估计器。

    BATTERY STATE ESTIMATION METHOD AND APPARATUS

    公开(公告)号:US20210190866A1

    公开(公告)日:2021-06-24

    申请号:US16886967

    申请日:2020-05-29

    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.

    METHOD AND APPARATUS FOR ESTIMATING STATE OF BATTERY
    7.
    发明申请
    METHOD AND APPARATUS FOR ESTIMATING STATE OF BATTERY 有权
    电池状态估算方法与装置

    公开(公告)号:US20160363632A1

    公开(公告)日:2016-12-15

    申请号:US15007861

    申请日:2016-01-27

    Abstract: 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.

    Abstract translation: 一种用于估计电池的状态的装置,包括数据接收器,被配置为从电池模块接收与电池组中包括的电池模块相关联的模块数据,以及处理器,被配置为获取与包括在电池中的电池单元相对应的单元数据 模块,并根据单元数据确定电池模块的模块状态。

    METHOD AND APPARATUS FOR ESTIMATING STATE OF BATTERY

    公开(公告)号:US20200088798A1

    公开(公告)日:2020-03-19

    申请号:US16682130

    申请日:2019-11-13

    Abstract: 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.

    METHOD AND APPARATUS FOR ESTIMATING STATE OF BATTERY

    公开(公告)号:US20190056452A1

    公开(公告)日:2019-02-21

    申请号:US15864405

    申请日:2018-01-08

    Abstract: 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.

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