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公开(公告)号:US20210080509A1
公开(公告)日:2021-03-18
申请号:US17018329
申请日:2020-09-11
发明人: Samarth AGARWAL , Subramanian Swernath BRAHMADATHAN , Krishnan S HARIHARAN , Seongho HAN , Anshul KAUSHIK , Rajkumar Subhash PATIL
IPC分类号: G01R31/392 , G01R31/36 , G01R31/371 , B60L58/16 , B60L3/00
摘要: Provided are a battery state measuring method and battery management system, which predict a time point when charging capacity of a battery is to be relatively abruptly reduced. The battery state measuring method includes: monitoring a change of at least one precursor related to the charging capacity of the battery with respect to a number of charging cycles undergone by the battery; and predicting that an abrupt reduction in the charging capacity of the battery is imminent when the change of the at least one precursor follows at least one pre-configured pattern of the battery that has undergone a critical number of charging cycles.
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公开(公告)号:US20230396088A1
公开(公告)日:2023-12-07
申请号:US18347880
申请日:2023-07-06
发明人: Ankit YADU , Subramanian Swernath BRAHMADATHAN , Samarth AGARWAL , Krishnan S. HARIHARAN , Seongho HAN , Sangheon LEE
IPC分类号: H02J7/00
CPC分类号: H02J7/0071 , H02J7/0047 , H02J7/00714 , H02J7/007192
摘要: A method for on-device real-time customization of charge profiles for a battery in an electronic device, and/or a corresponding device. The method may include determining at least one charging behavior parameter of the battery during every charging cycle. Further, the method may include determining at least one discharging behavior parameter of the battery subsequent to every charging cycle. Further, the method may include generating a charging profile for charging the battery based on the at least one charging behavior parameter and the at least one discharging behavior parameter. Further, the method may include charging the battery using the generated charging profile for the subsequent charging-discharging cycles.
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公开(公告)号:US20210255246A1
公开(公告)日:2021-08-19
申请号:US16973117
申请日:2019-06-05
发明人: Seongho HAN , Bookeun OH , Gilho KIM , Junyoung OH , Sungun WI , Jaeyeon LEE
IPC分类号: G01R31/367 , G06N20/00 , G01R31/382 , G01R31/371
摘要: An electronic device according to various embodiments of the present invention includes: a memory which stores one or more mapping parameters that indicate the correlation between a voltage change amount and the state of health (SOH) of the battery; and a processor, wherein the processor can be set to: detect that an external device for charging the battery is connected to the electronic device; charge the battery by using a charging current supplied from the external device; decide on at least one mapping parameter among the one or more mapping parameters on the basis of at least the charging current; check the voltage change amount of the battery while the battery is being charged; and acquire the SOH of the battery at least partially on the basis of the at least one mapping parameter and the voltage change amount.
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公开(公告)号:US20210088591A1
公开(公告)日:2021-03-25
申请号:US17025973
申请日:2020-09-18
发明人: Arunava NAHA , Achyutha Krishna KONETI , Piyush TAGADE , Ashish KHANDELWAL , Seongho HAN , Krishnan S. HARIHARAN
IPC分类号: G01R31/367 , H02J7/00 , G01R31/392 , G01R31/3842 , H01M10/48 , H01M10/42
摘要: The present subject refers to a method for battery fault diagnosis and prevention of hazardous conditions. The method comprises determining a plurality of parameters defined as one or more of current, voltage, or state of charge during operation of a battery-powered device. Further, one or more likelihood ratios related to malfunctioning of the battery are evaluated based on determined parameters. At least one of: a current battery-state or a type of current battery state are determined based on the one or more likelihood ratios as evaluated.
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公开(公告)号:US20230243892A1
公开(公告)日:2023-08-03
申请号:US18296618
申请日:2023-04-06
发明人: Samarth AGARWAL , Sangheon LEE , Krishnan S HARIHARAN , Seongho HAN , Roshan BHARTI , Ankit YADU
IPC分类号: G01R31/367 , H01M10/48 , G01R31/382 , H01M10/42
CPC分类号: G01R31/367 , H01M10/48 , G01R31/382 , H01M10/425 , H01M2010/4271 , H01M2010/4278
摘要: A method, for intelligent management of a battery is provided. The method includes detecting at least one anomaly associated with the battery. The at least one anomaly impacts one or more operations of the battery. The method includes identifying at least one portion of data from reference charging data to include the at least one anomaly for managing the one or more operations of the battery. The method further includes modifying at least one portion of data from the reference charging data based on a pre-determined logic to include the at least one anomaly. The method also includes retraining an Artificial Intelligence (AI) model based on the reference charging data upon modification for managing the one or more operations of the battery.
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公开(公告)号:US20230160969A1
公开(公告)日:2023-05-25
申请号:US17846805
申请日:2022-06-22
发明人: Deekshith PATHAYAPPILLY KRISHNAN , Krishnan S. HARIHARAN , Samarth AGARWAL , Subramanian Swernath BRAHMADATHAN , Seongho HAN
IPC分类号: G01R31/392 , H02J7/00
CPC分类号: G01R31/392 , H02J7/005 , H02J7/0048
摘要: A method for managing a battery includes obtaining a first plurality of battery parameters with respect to a first charging or discharging cycle of the battery; obtaining a second plurality of battery parameters with respect to a second charging or discharging cycle of the battery; determining a relative entropy by comparing the first plurality of battery parameters measured during the first charging or discharging cycle and the second plurality of battery parameters measured during the second charging or discharging cycle; and estimating a relative entropy value to predict a number of cycles after which a battery capacity is predicted to drop.
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公开(公告)号:US20220216700A1
公开(公告)日:2022-07-07
申请号:US17701263
申请日:2022-03-22
IPC分类号: H02J7/00 , B60L3/00 , G01R31/392
摘要: Provided is a method for detecting at least one anomaly in a battery, the method including obtaining, by a processor, charging-discharging data of the battery that has undergone a preset number of charging-discharging cycles, and obtaining, by the processor, a probability of the battery being healthy and at least one probability of the battery having an anomaly of at least one class, based on a correlation between charging-discharging data of a plurality of reference batteries and the charging-discharging data of the battery.
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