G01N29/46

ULTRASOUND BATTERY MANAGEMENT SYSTEMS (U-BMS), AND ENERGY STORAGE SYSTEMS EMPLOYING U-BMS

An energy storage system can comprise a stack of multiple battery modules, a plurality of ultrasound emitter transducers, a plurality of ultrasound receiving transducers, one or more excitation modules, one or more capture modules, and an ultrasound battery management system. Each ultrasound emitter transducer and each ultrasound receiving transducer can be acoustically coupled to a surface of a respective one of the battery modules. The excitation module(s) can be electrically interfaced with the plurality of ultrasound emitter transducers, and the capture module(s) can be electrically interface with the plurality of ultrasound receiving transducers. The ultrasound battery management system controller can be configured to initiate battery module ultrasound interrogation sequences.

Battery state monitoring using ultrasonic guided waves

A method of battery state monitoring includes: (1) providing a battery cell and at least one ultrasonic actuator and at least one ultrasonic sensor mounted to the battery cell; (2) using the ultrasonic actuator, generating a guided wave that propagates in-plane of the battery cell; (3) using the ultrasonic sensor, receiving an arriving wave corresponding to the guided wave; and (4) determining a state of the battery cell based on the arriving wave.

Battery state monitoring using ultrasonic guided waves

A method of battery state monitoring includes: (1) providing a battery cell and at least one ultrasonic actuator and at least one ultrasonic sensor mounted to the battery cell; (2) using the ultrasonic actuator, generating a guided wave that propagates in-plane of the battery cell; (3) using the ultrasonic sensor, receiving an arriving wave corresponding to the guided wave; and (4) determining a state of the battery cell based on the arriving wave.

Detecting and quantifying liquid pools in hydrocarbon fluid pipelines

Pressure-inducing devices and pressure transducers can be used to detect and quantify liquid pools in hydrocarbon fluid pipelines. Pressure fluctuations can be detected by a pressure transducer, where the pressure fluctuations are the response of a pressure-inducing device outputting a pressure signal in a pipe carrying hydrocarbons. Variation in a pipe diameter caused by pooling or deposition can be estimated using an inverse model. The pooling or depositions can be classified by applying a machine-learning model to the pressure fluctuations. The variation in pipe diameter can be converted to an equivalent liquid volume for pooling locations. A pooling or deposition location and volume can be output and used for determining an action on the pipe to remove the pooling or deposition.

Detection system and detection method

A sound source device and a signal receiver are disposed at first and second ports of a target object, respectively. A sound of a specific frequency of the sound source device is introduced into the target object to generate a resonant sound wave. A computer simulates a signal generated when the resonant sound wave is received by the signal receiver and regarding the signal as reference information. The reference information comprises first data having characteristics of the resonant sound wave, and data having features of an imaginary defect formed on the target object. The features of the imaginary defect correspond to the characteristics of the resonant sound wave. When the target object has a real defect, the sound of the specific frequency of the sound source device is introduced into the target object. Features of the real defect are derived by comparing the first data with the second data.

Detection system and detection method

A sound source device and a signal receiver are disposed at first and second ports of a target object, respectively. A sound of a specific frequency of the sound source device is introduced into the target object to generate a resonant sound wave. A computer simulates a signal generated when the resonant sound wave is received by the signal receiver and regarding the signal as reference information. The reference information comprises first data having characteristics of the resonant sound wave, and data having features of an imaginary defect formed on the target object. The features of the imaginary defect correspond to the characteristics of the resonant sound wave. When the target object has a real defect, the sound of the specific frequency of the sound source device is introduced into the target object. Features of the real defect are derived by comparing the first data with the second data.

Active Temperature Compensation Technique for Structural Health Monitoring Sensors

A system and method for detecting an anomaly in a structure using an adaptive filter to compensate for variations in piezoelectric transducer performance due to environmental factors such as temperature. A first voltage signal having a first amplitude is sent to a reference piezoelectric actuator. Thereafter, a first reference voltage signal is received from a reference piezoelectric receiver which is acoustically coupled to detect the guided wave generated by the reference piezoelectric actuator. A second amplitude is determined using an optimization algorithm of an adaptive filter to compensate for nonlinear behavior of the reference piezoelectric actuator and receiver based on the first reference voltage signal. Then the adaptive filter sends a second voltage signal having the second amplitude to the reference and test piezoelectric actuators. Reference and test voltage signals are received from the reference and test piezoelectric receivers in response to the second voltage signal. A difference voltage signal representing differences between the reference and test voltage signals received is then recorded.

Fluid sensor

A fluid sensing apparatus and a method for detecting pressure and a presence of bubbles within a fluid tube. The fluid sensing apparatus comprises a housing configured to receive a portion of the tube and to house a pressure sensor and an ultrasonic transmitter. The pressure sensor is positioned adjacent the tube and is configured to receive a pressure sensor signal, which correlates to a detected pressure differential within the tube. A controller transmits a drive signal to the ultrasonic transmitter, which emits ultrasonic waves through the portion of the tube and to the pressure sensor. The pressure sensor receives both the ultrasonic waves and the pressure sensor signal, and subsequently transmits an output signal to the controller. In a presence of a pressure differential or a bubble within the tube, the output signal will exhibit a DC shift or a distortion of signal characteristics of the output signal, respectively.

Method for the evaluation of adhesive bond strength via swept-frequency ultrasonic phase measurements

A method and system for ultrasonic testing of adhesion within a sample, which provides ultrasonic bursts of different frequencies to the sample and maintains a predetermined phase difference between echoes returned from the sample and representative reference signals of the bursts supplied to the sample until a spectrum of the phase differences versus frequency is obtained and from which properties of the adhesion at an interface reflecting the echoes are derivable.

SUPER-RESOLUTION PHOTOACOUSTIC MICROSCOPY

A method for super-resolution photoacoustic microscopy of an object. The method includes optically exciting the object according to a plurality of excitation patterns utilizing a digital micromirror device (DMD), receiving a plurality of acoustic waves propagated from the object due to optically exciting the object, reconstructing each of a plurality of photoacoustic (PA) images from a respective acoustic wave of the plurality of acoustic waves, and obtaining a super-resolution PA image of the object from the plurality of PA images by applying a frequency domain reconstruction method to the plurality of PA images. Each of the plurality of acoustic waves are associated with a respective excitation pattern of the plurality of excitation patterns.