Abstract: 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.

Abstract: Systems and methods for testing a component, such as a battery, of a host device include transmitting one or more input acoustic signals into at least a portion of the host device, through input transducers coupled to the host device. One or more response signals generated in response to the one or more input acoustic signals are detected through recording transducers coupled to the host device. The one or more response signals are stored and compared with reference signals or datasets. One or more physical characteristics of the component or battery are analyzed based on the comparison.

Abstract: Systems and methods for battery testing including a holder system. The holder system is designed to couple one or more transducers to a battery under test, wherein the one or more transducers are configured for electrochemical-acoustic signal interrogation (EASI) of the battery. The holder system includes at least one arm to house at least one transducer to be coupled to the battery, and a pressure applying device to apply pressure to the at least one transducer, and to control pressure between the at least one transducer and the battery. The holder system is also configured to determine the pressure between the at least one transducer and the battery and adjust the pressure applied to the at least one transducer based on the determined pressure.

Abstract: Systems and methods for measuring temperature characteristics of a battery include one or more transducers coupled to the battery for transmitting and/or receiving sound waves through at least a portion of the battery. A temperature measurement unit is provided to determine a time-of-flight of sound waves through at least the portion of the battery based on transmitted and received sound waves through at least the portion of the battery, and to determine temperature characteristics of at least the portion of the battery based on the time-of-flight.

Abstract: Systems and methods for analyzing physical characteristics of a battery include arrangements of two or more transducers coupled to the battery. A control module controls one or more of the two or more transducers to transmit acoustic signals through at least a portion of the battery, and one or more of the two or more transducers to receive response acoustic signals. Distribution of physical properties of the battery is determined based at least on the transmitted acoustic signals and the response acoustic signals.

Abstract: Systems and methods for analyzing physical characteristics of a battery include arrangements of two or more transducers coupled to the battery. A control module controls one or more of the two or more transducers to transmit acoustic signals through at least a portion of the battery, and one or more of the two or more transducers to receive response acoustic signals. Distribution of physical properties of the battery is determined based at least on the transmitted acoustic signals and the response acoustic signals.

Abstract: Systems and methods of determining physical conditions of a battery, such as state of charge (SOC), state of health (SOH), quality of construction, defect, or failure state include driving two or more acoustic signals of two or more amplitudes, each acoustic signal having two or more frequencies, into the battery and detecting vibrations generated in the battery based on the two or more acoustic signals. Nonlinear response characteristics of the battery for the two or more acoustic signals are determined from the detected vibrations. The physical conditions of the battery are determined based at least in part on the nonlinear response characteristics, using nonlinear acoustic resonance spectroscopy (NARS) or nonlinear resonant ultrasound spectroscopy (NRUS).

Abstract: Systems and methods for battery testing including a holder system. The holder system is designed to couple one or more transducers to a battery under test, wherein the one or more transducers are configured for electrochemical-acoustic signal interrogation (EASI) of the battery. The holder system includes at least one arm to house at least one transducer to be coupled to the battery, and a pressure applying device to apply pressure to the at least one transducer, and to control pressure between the at least one transducer and the battery. The holder system is also configured to determine the pressure between the at least one transducer and the battery and adjust the pressure applied to the at least one transducer based on the determined pressure.

Abstract: Systems and methods of determining physical conditions of a battery, such as state of charge (SOC), state of health (SOH), quality of construction, defect, or failure state include driving two or more acoustic signals of two or more amplitudes, each acoustic signal having two or more frequencies, into the battery and detecting vibrations generated in the battery based on the two or more acoustic signals. Nonlinear response characteristics of the battery for the two or more acoustic signals are determined from the detected vibrations. The physical conditions of the battery are determined based at least in part on the nonlinear response characteristics, using nonlinear acoustic resonance spectroscopy (NARS) or nonlinear resonant ultrasound spectroscopy (NRUS).

Abstract: 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.

Abstract: Systems and methods for battery testing including a holder system. The holder system is designed to couple one or more transducers to a battery under test, wherein the one or more transducers are configured for electrochemical-acoustic signal interrogation (EASI) of the battery. The holder system includes at least one arm to house at least one transducer to be coupled to the battery, and a pressure applying device to apply pressure to the at least one transducer, and to control pressure between the at least one transducer and the battery. The holder system is also configured to determine the pressure between the at least one transducer and the battery and adjust the pressure applied to the at least one transducer based on the determined pressure.

Abstract: Systems and methods for measuring temperature characteristics of a battery include one or more transducers coupled to the battery for transmitting and/or receiving sound waves through at least a portion of the battery. A temperature measurement unit is provided to determine a time-of-flight of sound waves through at least the portion of the battery based on transmitted and received sound waves through at least the portion of the battery, and to determine temperature characteristics of at least the portion of the battery based on the time-of-flight.

Abstract: Systems and methods of determining physical conditions of a battery, such as state of charge (SOC), state of health (SOH), quality of construction, defect, or failure state include driving two or more acoustic signals of two or more amplitudes, each acoustic signal having two or more frequencies, into the battery and detecting vibrations generated in the battery based on the two or more acoustic signals. Nonlinear response characteristics of the battery for the two or more acoustic signals are determined from the detected vibrations. The physical conditions of the battery are determined based at least in part on the nonlinear response characteristics, using nonlinear acoustic resonance spectroscopy (NARS) or nonlinear resonant ultrasound spectroscopy (NRUS).

Abstract: Systems and methods for measuring temperature characteristics of a battery include one or more transducers coupled to the battery for transmitting and/or receiving sound waves through at least a portion of the battery. A temperature measurement unit is provided to determine a time-of-flight of sound waves through at least the portion of the battery based on transmitted and received sound waves through at least the portion of the battery, and to determine temperature characteristics of at least the portion of the battery based on the time-of-flight.

Abstract: 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.

Abstract: Systems and methods for testing a component, such as a battery, of a host device include transmitting one or more input acoustic signals into at least a portion of the host device, through input transducers coupled to the host device. One or more response signals generated in response to the one or more input acoustic signals are detected through recording transducers coupled to the host device. The one or more response signals are stored and compared with reference signals or datasets. One or more physical characteristics of the component or battery are analyzed based on the comparison.

Abstract: 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.

Abstract: Systems and methods of determining physical conditions of a battery, such as state of charge (SOC), state of health (SOH), quality of construction, defect, or failure state include driving two or more acoustic signals of two or more amplitudes, each acoustic signal having two or more frequencies, into the battery and detecting vibrations generated in the battery based on the two or more acoustic signals. Nonlinear response characteristics of the battery for the two or more acoustic signals are determined from the detected vibrations. The physical conditions of the battery are determined based at least in part on the nonlinear response characteristics, using nonlinear acoustic resonance spectroscopy (NARS) or nonlinear resonant ultrasound spectroscopy (NRUS).

Abstract: Systems and methods for measuring temperature characteristics of a battery include one or more transducers coupled to the battery for transmitting and/or receiving sound waves through at least a portion of the battery. A temperature measurement unit is provided to determine a time-of-flight of sound waves through at least the portion of the battery based on transmitted and received sound waves through at least the portion of the battery, and to determine temperature characteristics of at least the portion of the battery based on the time-of-flight.

Abstract: Systems and methods for analyzing physical characteristics of a battery include arrangements of two or more transducers coupled to the battery. A control module controls one or more of the two or more transducers to transmit acoustic signals through at least a portion of the battery, and one or more of the two or more transducers to receive response acoustic signals. Distribution of physical properties of the battery is determined based at least on the transmitted acoustic signals and the response acoustic signals.