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公开(公告)号：US20170343612A1
公开(公告)日：2017-11-30
申请号：US15605005
申请日：2017-05-25
CPC分类号： G01R31/3648 , B60L58/12 , G01R31/367 , G01R31/382 , G01R31/392 , H01M10/482 , H01M10/486 , H01M2220/20
摘要： Disclosed is a battery state of charge (SOC) determining method and a battery managing apparatus that acquires a stochastic reduced order model (SROM) and a mean using battery conservation equations acquired based on a stochastic Pseudo 2-dimensional electrochemical thermal (P2D-ECT) model, measures state information, and assimilates the state information with the SROM and the mean to determine an accurate SOC at a relatively low calculation cost.
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公开(公告)号：US20180180680A1
公开(公告)日：2018-06-28
申请号：US15855868
申请日：2017-12-27
发明人： Piyush TAGADE , Ashish KHANDELWAL , Krishnan Seethalakshmy HARIHARAN , Aravinda Reddy MANDLI , Sanoop RAMACHANDRAN , Ankit Yadu , Periyasamy Paramasivam , Dough Heun Kang
CPC分类号： G01R31/3662 , G01R31/025 , G01R31/3679 , G01R31/3689 , G08B21/185
摘要： Embodiments herein provide a method and electronic device for detecting an internal short circuit in a battery. The method includes obtaining, by a battery management system, battery gauge data. Further, the method includes estimating, by the battery management system, an internal resistance of the battery using the battery gauge data. Furthermore, the method includes detecting, by the battery management system, the internal short circuit in the battery by comparing a change in the internal resistance with a pre-defined resistance change threshold value.
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公开(公告)号：US20190325983A1
公开(公告)日：2019-10-24
申请号：US16376132
申请日：2019-04-05
摘要： The embodiments herein disclose a method and system for designing molecules by using a machine learning algorithm. The method includes representing molecular structures included in a dataset by using a Simplified Molecular Input Line Entry System (SMILES), where the SMILES uses a series of characters, converting a SMILES representation of the molecular structures into a binary representation, pre-training a stack of Restricted Boltzmann Machines (RBMs) by using the binary representation of the molecular structures, constructing a Deep Boltzmann Machine (DBM) by using the stack of the RBMs, determining limited molecular property data for a subset of the molecule structures in the dataset, training the DBM with the limited molecular property data, combining the pre-trained stack of the RBMs and the trained DBM in a Bayesian inference framework, and generating a sample of molecules with target properties by using the Bayesian inference framework.
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公开(公告)号：US20210247460A1
公开(公告)日：2021-08-12
申请号：US17169402
申请日：2021-02-05
发明人： Arijit GUHA , Subramanian Swernath BRAHMADATHAN , Krishnan S. HARIHARAN , Piyush TAGADE , Rajkumar Subhash PATIL , Jeonghoon JO
IPC分类号： G01R31/392 , H01M10/42 , G01R31/3842 , G01R31/374
摘要： The present disclosure provides a method and a system for improving the state of health (SoH) of rechargeable batteries. The method comprises receiving a plurality of battery parameters during charging of a battery and estimating model parameters of the battery using a mathematical model. The method also comprises comparing the estimated model parameters of the battery and the received battery parameters to determine degradation parameters of the battery in real-time, determining new charging current profile of the battery based on the degradation parameters of the battery, and applying the determined new charging current profile to the battery for improving the SoH of the battery.
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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：US20210242698A1
公开(公告)日：2021-08-05
申请号：US17085977
申请日：2020-10-30
发明人： Anshul KAUSHIK , Aravinda Reddy MANDLI , Ankit YADU , Krishnan Seethalakshmy HARIHARAN , Piyush TAGADE , Rajkumar Subhash PATIL , Jeonghoon JO
IPC分类号： H02J7/00
摘要： Embodiments herein provide a method for real time adaptive charging of a battery. The method includes receiving at least one battery parameter. Further, the method includes determining a present battery condition. Further, the method includes correcting the at least one battery parameter based on the present battery condition. Further, the method includes determining a real time optimal current used for charging the battery based on the at least one corrected battery parameter. Further, the method includes charging the battery based on the determined real time optimal current, where a battery management system configures a charger integrated circuit to charge the battery. Further, the method includes updating and storing the at least one battery parameter in real time in a memory after charging the battery at the optimal current.
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