Disclosed is a high voltage signal and low voltage signal sampling and transmission system based on a high voltage MCU, including a sampling unit, a high voltage processing unit, a communication unit and a low voltage processing unit. The sampling unit includes a bus voltage sampling module, a phase voltage detection module and an IGBT temperature detection module. The high voltage processing unit adopts the high voltage MCU, and the high voltage MCU is configured to perform state monitoring and analog-to-digital conversion on the three-way analog detection signals, and output a digital signal to the communication unit; the communication unit adopts an isolated communication unit to transmit the three-way digital signal converted by the high voltage MCU to the low voltage processing unit; the low voltage processing unit adopts a low voltage MCU to realize sampling and communication of high and low voltage sampling signals.

An intermediate relay maloperation preventing device and method based on an improved recursive wavelet algorithm is provided. The device includes a power supply module, a voltage sampling circuit, an analog-to-digital conversion module, a DSP chip, and a relay maloperation signal shielding module. The voltage sampling circuit is connected to the analog-to-digital conversion module. The analog-to-digital conversion module is connected to the DSP chip. The DSP chip is connected to and controls a relay signal control module. The voltage sampling circuit collects a voltage. An improved recursive wavelet is used to extract a voltage feature. As such, identification of a fault signal and a normal signal is achieved, and real-time fault monitoring is accomplished. The detection method may be easily implemented, exhibits good filtering performance and anti-interference capability, delivers high detection accuracy, and may accomplish real-time online monitoring of intermediate relay faults.

Techniques for phase identification using feature-based clustering approaches are disclosed. Embodiments employ linear and nonlinear dimensionality reduction techniques to extract feature vectors from raw time series. In an embodiment, a constrained clustering algorithm separates smart meters into phase connectivity groups. Another embodiment clusters smart meter data, where voltage measurements are collected from smart meters and a SCADA system. Then, customer voltage time series are normalized and linear or nonlinear dimensionality reduction is applied to the normalized time series to extract key features. Next, constraints in the clustering process are defined by inspecting network connectivity data. Then, a constrained clustering method is applied to partition customers into clusters. Lastly, each clusters phase is identified by solving a minimization problem. In another embodiment, a machine learning algorithm generalizes a subset of phase connectivity measurements to a distribution network, the algorithm being an extension of a Mapper algorithm in topological data analysis.

The present invention relates to integrated circuits. More specifically, embodiments of the present invention provide methods and systems for determining temperatures of an integrated circuit using an one-point calibration technique, where temperature is determined by a single temperature measurement and calculation using known electrical characteristics of the integrated circuit.

A voltage detection circuit measures a plurality of cell voltages of an assembled battery configured by connecting a plurality of cells in series. The voltage detection circuit includes a plurality of input terminals connected to respective electrodes of the plurality of cells through a plurality of voltage detection lines; a multiplexer that periodically selects and outputs voltages of a plurality of cells in a group, a plurality of series cells configured as the group; an analog-to-digital (AD) converter that AD-converts an output voltage from the multiplexer and outputs digital data of the output voltage; and a control circuit that controls a timing for the selection by the multiplexer and a timing for the AD conversion. The control circuit switches over a time interval for which the multiplexer selects each of the cells to change a period of the AD conversion.

Method (100) for ascertaining a parameter (I_avg, I_N, I_P, V_c), wherein the parameter (I_avg, I_N, I_P, V_c) characterizes a current or a voltage in a circuit arrangement (200). The circuit arrangement (200) comprises an inductor (L) through which an alternating choke current (I_L) flows. The method comprises the steps of: ascertaining (120) at least one duration (TN1) between two zero crossings (N_−, N_+) of the choke current (I_L), or a duration (TNE1) between a zero crossing (N_−, N_+) and a vertex (E_−, E_+) of the choke current (I_L); ascertaining (130) the parameter (I_avg, I_N, I_P, V_c) as a function of the ascertained duration (TN1, TNE1).

A measuring apparatus ascertains measurement information relating to an input voltage. The measuring apparatus contains an operational amplifier having first and second inputs, and an output for providing the measurement information. The measuring apparatus further has a first input node for coupling to a first pole of the input voltage, and a first isolation resistor which connects the first input node to the first input of the operational amplifier. Moreover, the measuring apparatus contains a second input node for coupling to a second pole of the input voltage, and a second isolation resistor which connects the second input node to the second input of the operational amplifier. The measuring apparatus further has a feedback resistor which connects the output of the operational amplifier to the first input of the operational amplifier, and a reference resistor which connects the second input of the operational amplifier to a reference potential.

A temperature sensor system for an integrated circuit includes at least one sensor configured to generate a sensor signal indicative of a temperature in a respective location of the integrated circuit and a sensing module configured to receive the sensor signal, determine a temperature of the at least one sensor based on the sensor signal, an electrical characteristic of the at least one sensor, and a relationship between the electrical characteristic and the temperature of the at least one sensor, the relationship corresponding to variations in the electrical characteristic at a known calibration temperature, and generate a temperature signal based on the determined temperature.

Disclosed is a device and method for monitoring a common mode voltage. There is provided the device for monitoring a common mode voltage including an input end connected to a node between an energy storage device and a power conversion device, a voltage divider that divides a voltage applied to the input end, a comparator that compares an output of the voltage divider and a reference voltage, and a controller that detects an abnormality in a voltage applied from the power conversion device to the energy storage device based on an output of the comparator.

The voltage hold circuit is a voltage hold circuit configured to operate every processing cycle, the processing cycle including a hold period and a reset period following the hold period, and hold a voltage value for an input voltage signal, the voltage hold circuit including: a first hold circuit configured to operate to hold a minimum voltage value for the input voltage signal in the hold period every the processing cycle; and a second hold circuit configured to operate to hold a maximum voltage value for the input voltage signal in the reset period every the processing cycle.