An AD converter with self-calibration function that does not require an instrument for calibration, and includes: a reference voltage unit that generates a reference voltage; a summation and conversion unit that has two or more unit voltages serving as units of amount of change in a summed voltage, and during conversion, sums up any one unit voltage of the two or more unit voltages until the summed voltage exceeds the reference voltage, with an input voltage being an initial value of the summed voltage; and a control unit including a calibration control section that calibrates the two or more unit voltages and an offset voltage of a comparator at a time of calibration, and a conversion control section that determines a polarity of the offset voltage of the comparator and thereafter converts the input voltage to a digital value during conversion.

In described examples, a circuit includes a current mirror circuit. A first stage is coupled to the current mirror circuit. A second stage is coupled to the current mirror circuit and to the first stage. A voltage divider network is coupled to the second stage. The circuit includes an output transistor having first and second terminals, in which the first terminal of the output transistor is coupled to the first stage, and the second terminal of the output transistor is coupled to the voltage divider network.

A method for calibrating a sensor system, including: providing at least one first sensor unit and one second sensor unit, providing first correction data for the first sensor unit on the basis of measuring signals of the first sensor unit, providing second correction data for the first sensor unit, in the case of an activated second sensor unit, on the basis of measuring signals of the first sensor unit and on the basis of measuring signals of the second sensor unit, determining a first quality parameter for the first correction data and a second quality parameter for the second correction data, determining present correction data for measuring signals of the first sensor unit based on the correction data having the highest of the two determined quality parameters, and calibrating the first sensor unit by correcting first measuring signals on the basis of the present correction data.

A system and method for phase and gain calibration of a current sensor system. The system comprises a microcontroller configured to execute software in an energy measurement component and a calibration computer having a calibration application. The energy measurement component receives first and second digital signals representing current and voltage signals, respectively, received from a test source, and calculates active power and a power factor, and provides those values to the calibration computer. The power factor is converted to a converted phase angle. Based on the information received from the energy measurement component, the calibration application calculates parameters used to update components within the microcontroller to maximize the accuracy of the current sensor system.

A new method for calibrating slide screw tuners, both using hexahedron vertically moving and disc-shaped eccentrically rotating reflective tuning probes, allows straightening the reflection factor phase response (anti-skewing); it uses a new scaling method and a new coordinate system of tuning probe control. The method is agnostic and self-regulating, it treats the tuner as a black box and depends on the test frequency. The result is improved mathematical interpolation and tuning results using reduced number of calibration points and allowing higher calibration speed.

The present disclosure discloses an uncertain noisy filtering-based fault diagnosis method for a power battery management system and belongs to the field of power battery fault diagnosis. The method comprises: establishing an electro-thermal coupling model of a power battery system; extending an output vector of the system according to a state constraint of a power battery, and expanding a state vector of the system according to a fault of the power battery system to obtain an augmented system of the power battery system; obtaining an estimation interval of a power battery sensor fault by using a zonotope Kalman filtering method; judging whether the power battery management system has a fault according to upper and lower bounds of fault estimation, and if a fault occurs, determining a fault type and a fault time according to a result. Compared with an existing fault diagnosis method for a system without a state constraint, the present application solves the problem of fault diagnosis of a system with a state constraint by extending the state constraint of the system to the system output vector.

The present disclosure relates to a concept for checking at least one solder joint between a printed circuit board and a current sensor, including: measuring, by means of the current sensor, an electric current through the solder joint; measuring at least one temperature of the current sensor as a function of the electric current; and ascertaining a quality of the solder joint based on the temperature and the electric current.

A system and method for moisture sensing and methods for making and using same. The present disclosure describes a fluid sensing array that comprises a first and second set of conducting lines with a fluid layer disposed between the first and second set of conducting lines. Proximate intersections of the sets of conducting lines define a plurality of sensing regions. Reading the plurality of sensing regions may provide for calculating a value for fluid volume present, a value for surface area where fluid is present, or a determination of the identity, class or a characteristic of a fluid present.

A system and method for moisture sensing and methods for making and using same. The present disclosure describes a fluid sensing array that comprises a first and second set of conducting lines with a fluid layer disposed between the first and second set of conducting lines. Proximate intersections of the sets of conducting lines define a plurality of sensing regions. Reading the plurality of sensing regions may provide for calculating a value for fluid volume present, a value for surface area where fluid is present, or a determination of the identity, class or a characteristic of a fluid present.

A method for calibrating a magnetometer. The magnetometer travels through (Si) a set of path positions, and acquires (S2) a plurality of measurements of the magnetic field. Trajectory information (S3) is provided representative of the location and the orientation of a point integral with the magnetometer. The measurements of the magnetic field are matched up (S4) with the trajectory information. A determination (S5) is made of calibration parameters of the magnetometer by the minimisation of a cost function involving, for a plurality of determination times, at least the calibration parameters, a measurement of the magnetic field, and a relationship linking the change in a magnetic field with the change in the location and in the orientation of the magnetometer derived from the trajectory information.