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Battery service life estimation using a regression model and state estimation

机译:使用回归模型和状态估算来估算电池使用寿命

摘要

A measure of capacity of the battery responsive is generated responsive to a discharge of the battery. A prediction of service life is generated from the measure of capacity using a Kalman filter. Generation of a prediction of service life from the measure of capacity using a Kalman filter may be preceded by generating a set of measures of capacity of the battery corresponding to a series of discharges of the battery and generating a regression model, such as a straight-line model, that relates battery capacity to time based on the set of measures of battery capacity. Generating a prediction of service life from the measure of capacity using a Kalman filter may include initializing the Kalman filter responsive to the regression model meeting a predetermined criterion.
机译:响应于电池的放电而产生响应的电池容量的量度。使用卡尔曼滤波器从容量的度量中得出使用寿命的预测。在使用卡尔曼滤波器从容量测量值生成使用寿命预测之前,可以先生成一组与电池放电序列相对应的电池容量测量值,然后生成回归模型,例如,线模型,根据一组电池容量的度量将电池容量与时间相关联。使用卡尔曼滤波器从容量的度量生成使用寿命的预测可以包括响应于满足预定标准的回归模型来初始化卡尔曼滤波器。

著录项

  • 公开/公告号EP2098878A3

    专利类型

  • 公开/公告日2014-04-09

    原文格式PDF

  • 申请/专利权人 EATON CORPORATION;

    申请/专利号EP20090003142

  • 发明设计人 BURGESS WEBB LEWIS;

    申请日2009-03-04

  • 分类号G01R31/36;

  • 国家 EP

  • 入库时间 2022-08-21 15:51:09

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