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 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 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 pertain to minimal architecture zinc-bromine battery (MA-ZBB) designs which include a conductive carbon foam electrode disposed in a zinc-bromine electrolyte. The foam electrode generates and stores liquid bromine during a charging cycle of battery. A carbon cloth suspended in the electrolyte forms a zinc electrode. A self-discharge behavior of liquid bromine released from the foam electrode attacks any dendritic zinc creeping towards the foam electrode to create a self-discharging function for increased lifetime of the battery. The zinc-bromine battery does not include complexing agents, pumps and membranes, thus reducing cost and failure points and leading to a minimal architecture. Imaging techniques based on distinct colors associated with different concentrations of liquid bromine in the electrolyte are employed to detect battery operation and improve performance.

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 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 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: A sensing system for sensing conditions or characteristics associated with a process or thing. The sensing system includes one or more energy converters and a sensor, which are coupled to the process or thing. A node is coupled to the sensor and the energy-converter, and the node is powered by output from the energy converter. In a more specific embodiment, the node includes a controller that implements one or more routines for selectively powering a wireless transmitter of the node based on a predetermined condition. The predetermined condition may specify that sensor output values are within a predetermined range or are below or above a predetermined threshold. Alternatively, the predetermined condition may specify that electrical energy output from the energy converter is below a predetermined threshold. A remote computer may be wirelessly connected to node and may include software and/or hardware that is adapted to process information output by the sensor and relayed to the computer via the node.

Abstract: A sensing system for sensing conditions or characteristics associated with a process or thing. The sensing system includes one or more energy converters and a sensor, which are coupled to the process or thing. A node is coupled to the sensor and the energy-converter, and the node is powered by output from the energy converter. In a more specific embodiment, the node includes a controller that implements one or more routines for selectively powering a wireless transmitter of the node based on a predetermined condition. The predetermined condition may specify that sensor output values are within a predetermined range or are below or above a predetermined threshold. Alternatively, the predetermined condition may specify that electrical energy output from the energy converter is below a predetermined threshold. A remote computer may be wirelessly connected to node and may include software and/or hardware that is adapted to process information output by the sensor and relayed to the computer via the node.