公开(公告)号：US10191116B2

公开(公告)日：2019-01-29

申请号：US14884585

申请日：2015-10-15

Applicant: Johnson Controls Technology Company

Inventor： Timur L. Aliyev ,  Zhihong H. Jin ,  Diego Hernan Diaz Martinez

IPC: G01R31/36 ,  G06K9/00 ,  G06K9/62

Abstract: A method of predicting battery test results includes using a battery test computer to predict a battery test result for a battery undergoing testing. The battery test computer comprises a tangible, non-transitory computer-readable medium storing a battery test management system implemented as one or more sets of instructions. The battery test management system includes a predictive module configured to predict the battery test result using less than all data required for the battery test to be complete, a validation module configured to validate the prediction, and a training module configured to re-train the predictive module based on results generated by the validation module. The battery test computer also includes processing circuitry configured to execute the one or more sets of instructions, and outputting, via a user interface, the prediction of the result and a confidence level associated with the prediction.

公开(公告)号：US20170242077A1

公开(公告)日：2017-08-24

申请号：US15048816

申请日：2016-02-19

Applicant: Johnson Controls Technology Company

Inventor： Qingzhi Guo ,  Christian Kuper ,  Timur L. Aliyev

IPC: G01R31/36 ,  H01M10/48 ,  B60L11/18

CPC classification number: G01R31/367 ,  B60L58/12 ,  G01R31/389 ,  H01M10/48

Abstract: A battery system includes a battery that couples to an electrical system. The battery system also includes a battery control module that electrically couples to the battery. The battery control module monitors at least one monitored parameter of the battery, and the battery control module recursively calculates a first capacity estimation of the battery using two linear regression models based on at least an equivalent circuit model, the at least one monitored parameter, and a Kalman filter.