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1.
公开(公告)号:US11592493B2
公开(公告)日:2023-02-28
申请号:US16743848
申请日:2020-01-15
Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
Inventor: Alfred Zhang , Justin Bunnell , Garrett M. Seeman , Jeffrey S. Piasecki , Charles W. Wampler , Brian J. Koch , Jing Gao , Jeffrey A. Bednar , Xiumei Guo , Justin R. McDade
IPC: G01R31/30 , G01R31/3832 , G01R31/3842 , H01M10/48 , H01M10/42 , G01R31/388
Abstract: A method for battery capacity estimation is provided. The method includes monitoring a sensor, collecting a plurality of data points including a voltage-based state of charge value and an integrated current value, defining within the data points a first data set collected during a first time period and a second data set collected during a second time period, determining an integrated current error related to the second data set, comparing the integrated current error related to the second data set to a threshold integrated current error. When the error related to the second data set exceeds the threshold, the method further includes resetting the second data set based upon an integrated current value from the first time period. The method further includes combining the data sets to create a combined data set and determining a voltage slope capacity estimate as a change in integrated current versus voltage-based state of charge.
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2.
公开(公告)号:US20210215768A1
公开(公告)日:2021-07-15
申请号:US16743848
申请日:2020-01-15
Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
Inventor: Alfred Zhang , Justin Bunnell , Garrett M. Seeman , Jeffrey S. Piasecki , Charles W. Wampler , Brian J. Koch , Jing Gao , Jeffrey A. Bednar , Xiumei Guo , Justin R. McDade
IPC: G01R31/3832 , G01R31/3842 , G01R31/388 , H01M10/48 , H01M10/42
Abstract: A method for battery capacity estimation is provided. The method includes monitoring a sensor, collecting a plurality of data points including a voltage-based state of charge value and an integrated current value, defining within the data points a first data set collected during a first time period and a second data set collected during a second time period, determining an integrated current error related to the second data set, comparing the integrated current error related to the second data set to a threshold integrated current error. When the error related to the second data set exceeds the threshold, the method further includes resetting the second data set based upon an integrated current value from the first time period. The method further includes combining the data sets to create a combined data set and determining a voltage slope capacity estimate as a change in integrated current versus voltage-based state of charge.
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公开(公告)号:US20250149661A1
公开(公告)日:2025-05-08
申请号:US18500366
申请日:2023-11-02
Applicant: GM Global Technology Operations LLC
Inventor: Andrew C. Baughman , Shubham Gupta , Rajeev M. Ramanan , Xiumei Guo
IPC: H01M10/42
Abstract: A power distribution system includes a battery having multiple power cell groups. Each power cell group includes at least two power cells and a state of charge monitoring sensor. A controller is connected to each state of charge monitoring sensor. The controller is configured to run a process causing the processor to detect a slow self-discharge in at least one power cell group by monitoring a cell balancing metric for each power cell group and generating a set of accumulated balance metric values. The set of accumulated balancing metric values includes an accumulated balancing metric value corresponding to each power cell group in the plurality of power cell groups. The process identifies a reference value and a difference between the reference value and the cell balancing metric of each power cell with a cell balancing metric lower than the reference value and comparing the difference to a threshold.
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公开(公告)号:US20250035692A1
公开(公告)日:2025-01-30
申请号:US18360179
申请日:2023-07-27
Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
Inventor: Yue-Yun Wang , Xiumei Guo , Andrew C. Baughman , Bryan Paul Jagielo
IPC: G01R31/00 , G01R31/36 , G01R31/392 , G01R31/396 , H01M10/48
Abstract: Techniques are provided for generating an internal short circuit prediction of a battery cell. In one embodiment, the techniques involve receiving feature measurements of a plurality of cells, determining a snapshot moving average of the feature measurement of each of the plurality of cells based on a corresponding measurement window, determining a health indicator of each of the plurality of cells based on the respective snapshot moving averages, ranking a plurality of health indicators of the respective plurality of cells, wherein the plurality of health indicators is ranked by magnitude, determining a short circuit threshold value based on a second-ranked health indicator, and upon determining that a first-ranked health indicator exceeds the short circuit threshold value, generating a prediction of a short circuit in a cell corresponding to the first-ranked health indicator.
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