Abstract: A method of predicting one or more resonance frequencies for efficient operation of an acoustofluidic cavity in an acoustofluidic device is provided. The method comprises the steps of i. providing a first liquid filling the cavity, ii. obtaining a first impedance spectrum, by measuring the electrical impedance of an ultrasound transducer connected to the acoustofluidic device as the transducer is driven at a range of frequencies, iii. providing a second liquid filling the cavity, wherein the second liquid differs from the first liquid in its acoustophysical properties, iv. obtaining a second impedance spectrum, by measuring the electrical impedance of the ultrasound transducer as the ultrasound transducer is driven at the range of frequencies, and v.

Abstract: A method of predicting one or more resonance frequencies for efficient operation of an acoustofluidic cavity in an acoustofluidic device is provided. The method comprises the steps of i. providing a first liquid filling the cavity, ii. obtaining a first impedance spectrum, by measuring the electrical impedance of an ultrasound transducer connected to the acoustofluidic device as the transducer is driven at a range of frequencies, iii. providing a second liquid filling the cavity, wherein the second liquid differs from the first liquid in its acoustophysical properties, iv. obtaining a second impedance spectrum, by measuring the electrical impedance of the ultrasound transducer as the ultrasound transducer is driven at the range of frequencies, and v.

Abstract: Automotive electrical system for a motor vehicle comprising an internal combustion engine of a motor vehicle; the electric vehicle system comprising a series of electric vehicle loads, an electric battery, and an alternator generating a supply voltage of the electric vehicle loads and of the electric battery; the alternator comprising an inductive electric circuit adapted to be crossed by an electric control current; the electric vehicle system comprises an alternator electronic control system configured so as to determine a series of battery parameters (pam_bat) indicating the state of operation of the electric battery; determine at least a first vehicle parameter indicating the acceleration of the motor vehicle; determine the operative state of the internal combustion engine; determine an electric regulation voltage according to the operative engine station, to the vehicle parameter and to the battery parameters; vary an electric control current circulating in the inductive electric circuit of the alternato

Abstract: Automotive electrical system for a motor vehicle comprising an internal combustion engine of a motor vehicle; the electric vehicle system comprising a series of electric vehicle loads, an electric battery, and an alternator generating a supply voltage of the electric vehicle loads and of the electric battery; the alternator comprising an inductive electric circuit adapted to be crossed by an electric control current; the electric vehicle system comprises an alternator electronic control system configured so as to determine a series of battery parameters (pam_bat) indicating the state of operation of the electric battery; determine at least a first vehicle parameter indicating the acceleration of the motor vehicle; determine the operative state of the internal combustion engine; determine an electric regulation voltage according to the operative engine station, to the vehicle parameter and to the battery parameters; vary an electric control current circulating in the inductive electric circuit of the alternato

Abstract: An internal-combustion engine for motor vehicles, for example a petrol-fuelled engine or a gas-fuelled engine, is provided with an electronically controlled hydraulic system for variable actuation of the intake valves. The system of variable actuation of the intake valves is governed by an electronic control unit that is programmed for performing at least once, at the start of the life of the engine, an activity of supervision of the functions of self-adaptive control of the air-fuel ratio. The supervision activity is based upon identification of a constant ratio between a delta in the value of the crank angle used by the electronic control unit and the error in the estimation of the air-fuel ratio by the electronic control unit when the system of actuation of the intake valves operates in late-opening mode.

Abstract: Described herein is a method for optimizing a plurality of calibration maps for an algorithm of estimation of a control quantity of an internal combustion engine, each of the maps comprising a plurality of calibration values of said control quantity estimated by said algorithm. The optimization method comprises measuring the control quantity, estimating the control quantity, and individually optimizing each calibration map based on the measured control quantity and the estimated control quantity.

Abstract: An internal-combustion engine for motor vehicles, for example a petrol-fuelled engine or a gas-fuelled engine, is provided with an electronically controlled hydraulic system for variable actuation of the intake valves. The system of variable actuation of the intake valves is governed by an electronic control unit that is programmed for performing at least once, at the start of the life of the engine, an activity of supervision of the functions of self-adaptive control of the air-fuel ratio. The supervision activity is based upon identification of a constant ratio between a delta in the value of the crank angle used by the electronic control unit and the error in the estimation of the air-fuel ratio by the electronic control unit when the system of actuation of the intake valves operates in late-opening mode.

Abstract: Described herein is a method for optimizing a plurality of calibration maps for an algorithm of estimation of a control quantity of an internal combustion engine, each of the maps comprising a plurality of calibration values of said control quantity estimated by said algorithm. The optimization method comprises measuring the control quantity, estimating the control quantity, and individually optimizing each calibration map based on the measured control quantity and the estimated control quantity.