An isolated switched-mode power converter converts power from an input source into power for an output load. A digital controller senses a secondary-side voltage, such as a rectified voltage, of the power converter. The secondary-side voltage is divided down using a high-impedance voltage divider. The resultant divided-down voltage is provided to a voltage sensor within the digital controller. The voltage sensor level shifts the provided voltage, and buffers the resulting level-shifted voltage. The buffered, level-shifted voltage is provided to a tracking analog-to-digital converter (ADC) for digitization. The buffered signal provided to the tracking ADC has a high current capability, such that the voltage input to the tracking ADC may quickly converge before the tracking ADC outputs a digital value for the sensed secondary-side voltage.

A circuit having a capacitance driver circuit can allow for reduction of thermal noise to an application circuit. An output of the capacitance driver circuit can drive a capacitor for use by the application circuit coupled to the capacitor at the output of the capacitance driver circuit. The capacitance driver circuit can be structured to operate over a bandwidth of interest. With an input signal, received at the capacitance driver circuit, associated with a target voltage, an output voltage can be provided at the output of the capacitance driver circuit as a bandlimited filtered voltage value of the target voltage, where a root-mean-square voltage deviation of the output voltage from the target voltage, due to thermal noise, is less than a square root of (kT/C). The term k is Boltzmann's constant, T is Kelvin temperature of the capacitance driver circuit, and C is the capacitance of the driven capacitor.

The present disclosure provides an energy identification method for a micro-energy device based on back propagation (BP) neural network, which includes the following steps: S1, sampling a dynamic voltage of a micro-energy device in an open-circuit state to obtain an original voltage signal, and denoising the original voltage signal by an adaptive threshold wavelet transform; S2, extracting an R wave peak value of the denoised voltage signal so as to obtain model input data; S3, establishing a BP neural network model, inputting data to train the model, and stopping training when a training error is smaller than a preset value, to obtain a qualified BP neural network model; and S4, identifying a to-be-identified voltage signal by using the BP neural network model obtained in the step S3. According to the present disclosure, accurate and rapid energy identification and classification can be carried out, and the classification result is reliable.

A system comprising a current sensor for sensing an average output current and/or an average input current of a circuit is presented. There is a first switch, the first switch being arranged to selectively couple a sensing node of the circuit to a first voltage, wherein the current sensor comprises a pulse density modulator configured to generate a pulse density modulated signal. The pulse density modulated signal is dependent on an average current flowing through the first switch. The current sensor is configured to sense the average output current and/or the average input current of the circuit using the pulse density modulated signal.

Embodiments of the present disclosure may monitor and adjust a sampling rate of an ADC for converting the power signal to a digital signal, locking onto the phase and frequency of the power signal. This technique may make the sampling process coherent relative to the power signal. Properties of the power signal, such as phase, frequency, and magnitude, may be extracted relative to an idealized power signal.

A partial discharge detection apparatus for detecting partial discharge in a power cable and recognizing an insulation deterioration state of the power cable. A low-speed AD converter converts an analog signal of an AC waveform flowing through a power cable into a digital signal. A high-speed AD converter converts an analog signal of a partial discharge current into a digital signal. The partial discharge is detected based on the maximum value or the sum of a current value obtained from the digital signal of the partial discharge current obtained by the conversion of the high-speed AD converter, for each phase of the AC waveform, which is obtained from the digital signal of the AC waveform flowing in the power cable. The digital signal is obtained by the conversion of the low-speed AD converter.

A controller generates a first command for battery array sensors to sense voltages of battery cell arrays of a traction battery, and generates a second command to sample a value of current through the traction battery at a time following the first command that is defined by durations of analog to digital conversion operations of some of the battery array sensors and an analog to digital conversion operation associated with sampling the value.

A method of automatically selecting a continuous time linear equalization (CTLE) filter includes capturing a response waveform for a channel of a communication link of a device under test (DUT), generating a set of candidate CTLEs, and automatically selecting the CTLE from the set of candidate CTLEs using the response waveform. A test and measurement instrument has a user interface, a port to allow the instrument to connect to a device under test (DUT), and one or more processors configured to execute code to cause the one or more processors to: generate a set of CTLE candidates; capture a response waveform for the channel; and automatically select the CTLE from the set of candidate CTLEs using the response waveform.

A diagnostic system for a DC-DC voltage converter is provided. The DC-DC voltage converter has a high voltage bi-directional MOSFET switch. The high voltage bi-directional MOSFET switch has a first node and a second node. The microcontroller samples a first voltage at the first node at a first sampling rate utilizing a first common channel in a first bank of channels to obtain a first predetermined number of voltage samples. The microcontroller determines a first number of voltage samples in the first predetermined number of voltage samples in which the first voltage is less than a first threshold voltage. The microcontroller sets a first voltage diagnostic flag equal to a first fault value if the first number of voltage samples is greater than a first threshold number of voltage samples indicating a voltage out of range low fault condition for the analog-to-digital converter.

A current sampling system, the system including a magnetic component, that is an inductor or a transformer that has at least one winding, where the at least one winding has a first part and a second part, where a first terminal of the first part is connected to a first terminal of the second part, and where a second terminal of the first part is separated from a second terminal of the second part, and a current detection circuit, where the second terminal of the second part is connected to the current detection circuit, and where the current detection circuit is configured to sample a current flowing through the second part, and obtain a total current of the winding based on the sampled current flowing through the second part and a preset ratio.