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公开(公告)号:US09893354B2
公开(公告)日:2018-02-13
申请号:US15049489
申请日:2016-02-22
IPC分类号: H01M4/00 , H01M4/42 , H01M4/04 , H01M4/24 , H01M4/29 , H01M4/38 , H01M4/66 , C25D5/00 , C25D5/16 , C25D3/22 , H01M4/02
CPC分类号: H01M4/42 , C25D3/22 , C25D5/00 , C25D5/16 , H01M4/0452 , H01M4/244 , H01M4/29 , H01M4/38 , H01M4/661 , H01M2004/021 , H01M2004/027
摘要: Disclosed are hyper-dendritic nanoporous zinc foam electrodes, viz., anodes, methods of producing the same, and methods for their use in electrochemical cells, especially in rechargeable electrical batteries.
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公开(公告)号:US20210080573A1
公开(公告)日:2021-03-18
申请号:US16643321
申请日:2018-08-30
发明人: Etienne Bachmann , Jeroen Tromp , Greg Davies , Daniel Steingart
摘要: This disclosure provides a system and method for producing ultrasound images based on Full Waveform Inversion (FWI). The system captures acoustic/(an)elastic waves transmitted through and reflected and/or diffracted from a medium. The system performs an FWI process in a time domain in conjunction with an accurate wave propagation solver. The system produces 3D maps of physical parameters that control wave propagation, such as shear and compressional wavespeeds, mass density, attenuation, Poisson's ratio, bulk and shear moduli, impedance, and even the fourth-order elastic tensor containing up to 21 independent parameters, which are of significant diagnostic value, e.g., for medical imaging and non-destructive testing.
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公开(公告)号:US11193979B2
公开(公告)日:2021-12-07
申请号:US16117421
申请日:2018-08-30
发明人: Daniel A. Steingart , Greg Davies , Shaurjo Biswas , Andrew G. Hsieh , Barry Van Tassell , Thomas Hodson , Shan Dou
IPC分类号: G01R31/385 , G01N29/07 , G01N29/11 , G01N29/46 , G01N29/12 , G01N29/04 , G01R31/3835 , G06N20/00 , G01R31/392 , G01R31/3842 , G01N29/44 , G01N29/50 , H01M10/42 , G01N29/48 , G06N5/04 , H01M10/48
摘要: Systems and methods for prediction of state of charge (SOH), state of health (SOC) and other characteristics of batteries using acoustic signals, includes determining acoustic data at two or more states of charge and determining a reduced acoustic data set representative of the acoustic data at the two or more states of charge. The reduced acoustic data set includes time of flight (TOF) shift, total signal amplitude, or other data points related to the states of charge. Machine learning models use at least the reduced acoustic dataset in conjunction with non-acoustic data such as voltage and temperature for predicting the characteristics of any other independent battery.
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公开(公告)号:US10535901B2
公开(公告)日:2020-01-14
申请号:US15560599
申请日:2016-04-05
摘要: The invention provides an electrolyte composition which is adapted for use in a rechargeable alkaline electrochemical cell, and especially preferably adapted for use in a rechargeable manganese zinc electrochemical cell, which electrolyte composition imparts improved performance characteristics to the rechargeable alkaline electrochemical cell. The electrolyte composition includes an electrolyte composition in which contains a potassium hydroxide and lithium hydroxide in a concentration and a respective molar ratio of about 1 molar potassium hydroxide to 2.5-3.7 (preferably 1:3) molar lithium hydroxide (1 M KOH:2.5-3.7 M LiOH). Also provided are alkaline electrochemical cells and alkaline batteries comprising the electrolyte compositions. The resultant alkaline electrochemical cells and alkaline batteries exhibit improved performance characteristics, as the electrolyte composition significantly inhibits the passivation of Zn, and may also be useful in this role in other battery chemistries.
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