Patents by Inventor Andrew G. HSIEH
Andrew G. HSIEH has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Publication number: 20240413417Abstract: Systems and methods for acoustic signal based analysis, include obtaining acoustic response signal data of at least a portion of a battery cell, the acoustic response signal data comprising waveforms generated by transmitting one or more acoustic excitation signals into at least the portion of the battery cell and recording response vibration signals to the one or more acoustic excitation signals. One or more metrics are determined from at least the acoustic response signal data, the one or more metrics being determined based on correlation of the one or more metrics to one or more characteristics of battery cells and a reference model is generated from the one or more metrics. A test battery can be evaluated using the reference model. Actionable insights or recommendations can be generated based on the evaluation. The reference model can also be updated based on the evaluation.Type: ApplicationFiled: December 19, 2023Publication date: December 12, 2024Applicant: Liminal Insights, Inc.Inventors: Barry J. VAN TASSELL, Shan DOU, Shaurjo BISWAS, Andrew G. HSIEH, Andrew M. RAPHAEL
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Publication number: 20240255472Abstract: One or more aspects of the present disclosure are directed to a synchronized actuation system for holding samples (e.g., battery cells) in place such that ultrasonic sensors can make physical contacts with the samples to transmit and receive acoustic signals across the samples for purposes of making ultrasound measurements of the battery sample. The movement of sensors on both sides of a sample can be synchronized (as opposed to being handled via independent actuators) to improve signal repeatability.Type: ApplicationFiled: January 26, 2024Publication date: August 1, 2024Applicant: Liminal Insights, Inc.Inventors: Yu-Shi FONG, Dennis YU, Shaurjo BISWAS, Andrew G. HSIEH
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Patent number: 11855265Abstract: Systems and methods for acoustic signal based analysis, include obtaining acoustic response signal data of at least a portion of a battery cell, the acoustic response signal data comprising waveforms generated by transmitting one or more acoustic excitation signals into at least the portion of the battery cell and recording response vibration signals to the one or more acoustic excitation signals. One or more metrics are determined from at least the acoustic response signal data, the one or more metrics being determined based on correlation of the one or more metrics to one or more characteristics of battery cells and a reference model is generated from the one or more metrics. A test battery can be evaluated using the reference model. Actionable insights or recommendations can be generated based on the evaluation. The reference model can also be updated based on the evaluation.Type: GrantFiled: December 4, 2020Date of Patent: December 26, 2023Assignee: LIMINAL INSIGHTS, INC.Inventors: Barry J. Van Tassell, Shan Dou, Shaurjo Biswas, Andrew G. Hsieh, Andrew M. Raphael
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Publication number: 20230393097Abstract: One or more aspects of the present disclosure are directed to fixturing mechanisms for placement of battery cells inside an ultrasonic testing system. The disclosed fixturing mechanisms enable accurate and predictable loading, placement, and unloading of battery cells inside ultrasonic testing systems allowing all faces of battery cells of different types (e.g., pouch cells, prismatic cells, cylindrical cells, etc.) to have sufficient exposure to transmission and reception of acoustic signals. This fixturing mechanism furthers the goal of providing a robustly designed ultrasonic test system and producing accurate inspection results for batteries.Type: ApplicationFiled: June 2, 2023Publication date: December 7, 2023Inventors: Dennis YU, Shaurjo BISWAS, Omar ALEMAN, Ashlyn Leona D'ORAZIO, Kelsea KEENAN, Jason Yue YU, Yu-Shi FONG, Andrew G. HSIEH
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Publication number: 20230258603Abstract: The present disclosure are directed to techniques for defect detection and identification inside batteries. In one aspect, a non-invasive method of identifying and labeling defects in a battery cell includes transmitting acoustic signals through a battery cell via one or more first transducers, receiving response signals in response to the acoustic signals at one or more second transducers, determining whether at least one feature of interest exists in the battery cell based on analyzing the response signals, performing an identification and labeling process on the at least one feature of interest to determine at least one defect in the battery cell, and outputting a result of the identification and labeling process.Type: ApplicationFiled: February 14, 2023Publication date: August 17, 2023Inventors: Austin Ryan DULANEY, Jason Yue YU, Shaurjo BISWAS, Andrew G. HSIEH, Barry J. VAN TASELL
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Publication number: 20230221285Abstract: Systems and techniques for measuring process characteristics including electrolyte distribution in a battery cell. A non-destructive method for analyzing a battery cell includes determining acoustic features at two or more locations of the battery cell, the acoustic features based on one or more of acoustic signals travelling through at least one or more portions of the battery cell during one or more points in time or responses to the acoustic signals obtained during one or more points in time, wherein the one or more points in time correspond to one or more stages of electrolyte distribution in the battery cell. One or more characteristics of the battery cell are determined based on the acoustic features at the two or more locations of the battery cell.Type: ApplicationFiled: March 6, 2023Publication date: July 13, 2023Inventors: Shan Dou, Andrew G. Hsieh, Shaurjo Biswas, Barry J. Van Tassell, Elizabeth M. Lee, Dennis Yu, Jason Y. Yu
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Patent number: 11600870Abstract: Systems and techniques for measuring process characteristics including electrolyte distribution in a battery cell. A non-destructive method for analyzing a battery cell includes determining acoustic features at two or more locations of the battery cell, the acoustic features based on one or more of acoustic signals travelling through at least one or more portions of the battery cell during one or more points in time or responses to the acoustic signals obtained during one or more points in time, wherein the one or more points in time correspond to one or more stages of electrolyte distribution in the battery cell. One or more characteristics of the battery cell are determined based on the acoustic features at the two or more locations of the battery cell.Type: GrantFiled: March 23, 2020Date of Patent: March 7, 2023Assignee: Liminal Insights, Inc.Inventors: Shan Dou, Andrew G. Hsieh, Shaurjo Biswas, Barry J. Van Tassell, Elizabeth M. Lee, Dennis Yu, Jason Y. Yu
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Patent number: 11193979Abstract: 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.Type: GrantFiled: August 30, 2018Date of Patent: December 7, 2021Assignees: Feasible, Inc., The Trustees of Princeton UniversityInventors: Daniel A. Steingart, Greg Davies, Shaurjo Biswas, Andrew G. Hsieh, Barry Van Tassell, Thomas Hodson, Shan Dou
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Publication number: 20210175553Abstract: Systems and methods for acoustic signal based analysis, include obtaining acoustic response signal data of at least a portion of a battery cell, the acoustic response signal data comprising waveforms generated by transmitting one or more acoustic excitation signals into at least the portion of the battery cell and recording response vibration signals to the one or more acoustic excitation signals. One or more metrics are determined from at least the acoustic response signal data, the one or more metrics being determined based on correlation of the one or more metrics to one or more characteristics of battery cells and a reference model is generated from the one or more metrics. A test battery can be evaluated using the reference model. Actionable insights or recommendations can be generated based on the evaluation. The reference model can also be updated based on the evaluation.Type: ApplicationFiled: December 4, 2020Publication date: June 10, 2021Inventors: Barry J. VAN TASSELL, Shan DOU, Shaurjo BISWAS, Andrew G. HSIEH, Andrew M. RAPHAEL
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Publication number: 20200358147Abstract: Systems and techniques for measuring process characteristics including electrolyte distribution in a battery cell. A non-destructive method for analyzing a battery cell includes determining acoustic features at two or more locations of the battery cell, the acoustic features based on one or more of acoustic signals travelling through at least one or more portions of the battery cell during one or more points in time or responses to the acoustic signals obtained during one or more points in time, wherein the one or more points in time correspond to one or more stages of electrolyte distribution in the battery cell. One or more characteristics of the battery cell are determined based on the acoustic features at the two or more locations of the battery cell.Type: ApplicationFiled: March 23, 2020Publication date: November 12, 2020Inventors: Shan Dou, Andrew G. Hsieh, Shaurjo Biswas, Barry J. Van Tassell, Elizabeth M. Lee, Dennis Yu, Jason Y. Yu
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Publication number: 20190072614Abstract: 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.Type: ApplicationFiled: August 30, 2018Publication date: March 7, 2019Inventors: Daniel A. STEINGART, Greg DAVIES, Shaurjo BISWAS, Andrew G. HSIEH, Barry VAN TASSELL, Thomas HODSON, Shan DOU
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Patent number: 9893354Abstract: 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.Type: GrantFiled: February 22, 2016Date of Patent: February 13, 2018Assignee: THE TRUSTEES OF PRINCETON UNIVERSITYInventors: Daniel A. Steingart, Mylad Chamoun, Benjamin Hertzberg, Greg Davies, Andrew G. Hsieh
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Publication number: 20170025677Abstract: 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.Type: ApplicationFiled: February 22, 2016Publication date: January 26, 2017Inventors: Daniel A. STEINGART, Mylad CHAMOUN, Benjamin HERTZBERG, Greg DAVIES, Andrew G. HSIEH