Abstract: A model predictive controller and related charging components producing a charge signal for a battery wherein predicted battery parameters such as state of charge, battery temperature, state of health (e.g., anode overpotential), are used to generate constraints that are subsequently used, such as through an optimizer running a cost function, to produce a charge signal that may include one or more optimized charge attributes including a charge current magnitude or a mean current, a shaped leading edge, an edge time, a body time, and a rest time.

Abstract: The technology of the invention relates to an ultrasonic characterization method for a flowstream to detect impurities that can include placing a first transducer and a second transducer aligned confocally to a flowstream, transmitting, from the first transducer, ultrasonic waveform signals into the flowstream, receiving, by the second transducer, the ultrasonic waveform signals, removing waveform signal reflections using a pitch-catch configuration of the first transducer and the second transducer, detecting waveform signals indicating impurities in the flowstream using induced nucleation of the impurities, detecting waveform signals indicating bubbles in the flowstream using nonlinear dynamic behaviors of the bubbles, and differentiating between the waveform signals of the impurities and the waveform signals of the bubbles using cavitation properties of the impurities and the bubbles.

Abstract: Embodiments of the disclosure relate to an ultrasonic characterization method for a flowstream to detect impurities that can include placing a first transducer and a second transducer aligned confocally to a flowstream, transmitting, from the first transducer, ultrasonic waveform signals into the flowstream, receiving, by the second transducer, the ultrasonic waveform signals, removing waveform signal reflections using a pitch-catch configuration of the first transducer and the second transducer, detecting waveform signals indicating impurities in the flowstream using induced nucleation of the impurities, detecting waveform signals indicating bubbles in the flowstream using nonlinear dynamic behaviors of the bubbles, and differentiating between the waveform signals of the impurities and the waveform signals of the bubbles using cavitation properties of the impurities and the bubbles.

Abstract: This application discloses a vehicle drivable area detection method, an autonomous driving assistance system, and an autonomous driving vehicle. The method includes: processing, by using a neural network, image data obtained by a camera apparatus, to obtain a first probability distribution of an obstacle; obtaining a second probability distribution of the obstacle based on a time of flight and an echo width of a radar echo signal; and obtaining, based on the first probability distribution of the obstacle and the second probability distribution of the obstacle, a drivable area of a vehicle represented by a probability, where the probability is a probability that the vehicle cannot drive through the area. The autonomous driving assistance system includes a camera apparatus, at least one radar, and a processor. The system is configured with the technical solutions that can implement the method. The autonomous driving vehicle includes the foregoing autonomous driving assistance system.

Abstract: Some embodiments relate to the application of a system and a signal processing method for data acquired from a Scanning Acoustic Microscope (SAM) to obtain a high axial resolution and enhanced imaging. The SAM is one of ultrasound imaging methods used for NDE. Embodiments may provide methods for decreasing or reducing the duration (width) of the pulses scattered/reflected by multiple objects/scatters. Such embodiments can accomplish this by eliminating, or at least partially eliminating, the background noise by deconvolving the system responses (i.e., reference signals) obtained from either theoretical modeling or experimental acquiring. In one embodiment, the method minimizes the pulse duration by using a regression technique to predict the spectra responses outside a frequency band.

Abstract: The present disclosure belongs to the technical field of treating landfill leachate, and in particular to a system and a method for total volume treatment of landfill leachate, and a use thereof. The system comprises an integrated device of dielectric barrier discharge combined with catalyst treatment, an SBR-MBR biochemical treatment device and a PLC control device; the integrated device for a discharge barriered by dielectric and a catalysis treatment is communicated with the SBR-MBR biochemical treatment device through a water transport pipeline, and the PLC control device is respectively connected with the integrated device for a discharge barriered by dielectric and a catalysis treatment and the SBR-MBR biochemical treatment device through connecting lines.