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公开(公告)号:US20250165011A1
公开(公告)日:2025-05-22
申请号:US18926170
申请日:2024-10-24
Inventor: Soohee HAN , Changhyeon LEE , Seongwon YOON , Seunghyeon SIM , Jooyeol JUNG , Woo Joung LIM
IPC: G05D1/698 , G05D1/227 , G05D1/248 , G05D1/80 , G05D109/20 , G05D111/30
Abstract: A drone system for synthetic aperture radar (SAR) operation to control and operate an aerial vehicle mounted with an SAR may comprise: a flight control module configured to control a low level of the aerial vehicle; a high-level control module configured to perform communication for swarm control of the aerial vehicles, receive flight information from the flight control module, and transmit a command to the flight control module; a link module configured to link the flight control module and the high-level control module; and a data acquisition board connected to the high-level control module and configured to store a flight log from the high-level control module and radar data from a radar module provided with the SAR.
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公开(公告)号:US20240272232A1
公开(公告)日:2024-08-15
申请号:US18384995
申请日:2023-10-30
Inventor: Gyeonghwan LEE , Kwangrae KIM , Soohee HAN , Minho KIM
IPC: G01R31/392 , G01R31/367 , G06N3/047 , H01M10/44 , H02J7/00
CPC classification number: G01R31/392 , G01R31/367 , G06N3/047 , H01M10/44 , H02J7/0047
Abstract: A method of predicting a capacity change of a battery includes calculating damage to cathode particles of a secondary battery during each charging/discharging cycle if the charging/discharging cycle is repeatedly performed in the secondary battery, calculating accumulated damage by accumulating the damage, calculating a minimum radius of the cathode particles in which a fatigue fracture occurs due to the accumulated damage, calculating, based on a distribution of radii of the cathode particles and the minimum radius, a reduction amount in a volume of a cathode active particle due to the fatigue fracture during each charging/discharging cycle, and calculating a relative capacity loss at a cathode based on the reduction amount in the volume of the cathode active particle during each charging/discharging cycle.
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公开(公告)号:US20250124346A1
公开(公告)日:2025-04-17
申请号:US18795490
申请日:2024-08-06
Inventor: Myeongjae LEE , Joonhee KIM , Soohee HAN , Jungsoo KIM , Jinho KIM , Hangyeol KIM , Hyosik MOON , Huiyong CHUN
IPC: G06N20/00 , G01R31/367 , G01R31/389 , G01R31/392
Abstract: A method and apparatus for training a short circuit detection model are disclosed. The method includes generating virtual battery models with different battery parameter sets, based on battery data measured by a real battery in a non-short circuit state, by applying a constraint corresponding to a short circuit state to the virtual battery models, generating a virtual test result of the short circuit state, and training a short circuit detection model configured to detect the short circuit state using the virtual test result.
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公开(公告)号:US20240111921A1
公开(公告)日:2024-04-04
申请号:US18331363
申请日:2023-08-28
Inventor: Jungsoo KIM , Joonhee KIM , Jinho KIM , Myeongjae LEE , Huiyong CHUN , Soohee HAN
IPC: G06F30/20
CPC classification number: G06F30/20
Abstract: A processor-implemented method includes performing first parameter optimization of a battery model through a first predetermined optimization technique; switching, based on a count accumulated while performing the first parameter optimization indicating that a switching criterion has been met, from the first optimization technique to a second predetermined optimization technique; performing second parameter optimization of the battery model through the second predetermined optimization technique; and determining a final parameter combination as an optimized parameter of the battery model, in response to an occurrence of an optimization end event during the performance of the second parameter optimization.
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公开(公告)号:US20210132151A1
公开(公告)日:2021-05-06
申请号:US17064013
申请日:2020-10-06
Inventor: Jang-Woo LEE , Jungsoo KIM , Huiyong CHUN , Soohee HAN , Tae-Kyung LEE
IPC: G01R31/367 , G01R31/392 , G06N3/04 , G06N3/08
Abstract: A method of estimating a state of health of a battery, the method being performed by a computing apparatus, the method including: preparing a trained artificial neural network; generating input data by measuring at least one parameter of a battery; acquiring a plurality of output values each corresponding to a plurality of classes by inputting the input data into the trained artificial neural network; and generating a state of health estimation value of the battery using a plurality of preset health state sections each corresponding to the plurality of classes and the plurality of output values each corresponding to the plurality of classes.
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