21 results about "Power envelope" patented technology

The invention discloses a full-working-condition driving force optimal distribution control method based on an HCU, and relates to the technical field of new energy automobile control, and the method comprises the following steps: building a long slope energy flux analysis model, generating a time sequence envelope curve of recovery power based on a slope, an automobile speed and a wheel end inertia, and extracting a local peak value interval in the time sequence envelope curve; and in the peak value interval, based on the open-circuit voltage, pulse current and impedance spectrum information of the power battery, online identifying the absorption capacity of the power battery, correcting the upper limit of the state of charge of the power battery, determining a rechargeable current threshold value, carrying out coupling analysis on the threshold value and the recovery power envelope curve, and identifying the reverse current risk time period of the inverter. According to the method, real-time constraint on the absorption capacity of the power battery under the long-slope deceleration working condition is achieved, the inverter reverse irrigation risk is recognized, a peak clipping track and a transient discharge channel are constructed, micro-pulse, accessory absorption and super-capacitor shunting are fused, energy closed-loop control is formed, and the safety of the whole vehicle and the energy utilization efficiency are improved.

A semiconductor device is made by calculating a thermal resistance matrix for the semiconductor device. A plurality of maximum junction temperatures for the plurality of die of the semiconductor device is selected. A plurality of power envelope surfaces are calculated for the semiconductor device based on the thermal resistance matrix and the maximum junction temperatures. A plurality of powers is selected for the plurality of die. The plurality of powers are compared against the plurality of power envelope surfaces to determine a plurality of risk values.

The application relates to the technical field of microwave control, in particular to a high-frequency microwave driving power adaptive control method and system of a high-current ECR proton source. The method comprises the following steps: collecting electron density, magnetic field intensity, microwave frequency and reflected power in a cavity, and constructing a plasma state data set; constructing a plasma-microwave coupling model, and predicting a critical microwave power threshold value by using a physical information neural network (PINN) model; designing a double closed-loop control mechanism to suppress control chattering; decomposing a microwave signal into a time-frequency domain, combining impedance matching degree and particle swarm optimization to adjust a power envelope curve, and optimizing signal frequency and time distribution; monitoring plasma stability by using a Lyapunov index, and executing a self-healing measure to restore resonance when a loss of lock or an abnormal state is detected; and iteratively updating the PINN model based on PIC and experimental data. The method can improve microwave power control precision, and enhance ECR proton source operation stability and coupling efficiency.

This specification provides a data processing method and apparatus for wind-solar-hydrogen storage coupled systems. The method involves: acquiring the operating data and equipment status parameters of the target wind-solar-hydrogen storage coupled system; determining the net power sequence based on the operating data; identifying fluctuation states in the net power sequence and determining sliding window parameters based on the identification results; extracting multiple target data segments from the net power sequence according to the window length, and fusing these multiple target data segments with the equipment status parameters according to a window combination method to determine the target feature vector; using a preset power prediction model, determining the net power prediction sequence and prediction confidence level based on the target feature vector; determining the execution power envelope based on the net power prediction sequence, prediction confidence level, and preset operating constraints; and determining the target power of the electrolyzer and the compensation power of the energy storage device based on the execution power envelope. This improves the accuracy of power prediction and safe allocation.

In a first embodiment, a multi-radio access technology (multi-RAT) or 5G-only or 4G-only remote radio head (RRH) is disclosed, wherein the RRH is equipped with functionality and capability enabling it to measure total power usage from the entire RRH, or according to various granularities. In a second embodiment, a network architecture for providing cluster-level optimization of power is disclosed. The network architecture may include a non-RT SMO that provides optimizations based on measurements from various cells, which may incorporate data about total power usage of each cell. In some embodiments a heatmap may be used. In a third embodiment, techniques for calibrating power amplifiers in radio heads are disclosed, including calibration to specific use cases, calibration based on power envelope tracking, and calibration to a fixed number of set points.

The application discloses an artificial intelligence charging equipment power adaptive control method and system, after a to-be-charged object is connected, the state of charge, the battery pack temperature, the single cell voltage difference, the allowed charging current, the charging module temperature, the interface temperature, the station end remaining capacity, the power grid voltage drop amount and the environment temperature are acquired according to a sampling period to form a charging state time sequence matrix; the charging state time sequence matrix is input into a trained improved multi-scale causal convolution-KAN double-branch model to output recommended power, temperature rise response trend and voltage drop response trend; a trusted power envelope is formed according to the battery, the equipment and the power grid constraints, and power perturbation is executed within the envelope, and the battery, the interface, the module temperature rise change rate and the power grid voltage recovery time before and after the perturbation are checked for model response consistency; if the model response is consistent, the recommended power is adjusted, and if the model response is inconsistent, the envelope is contracted and the power is reduced. The application improves charging efficiency, safety and power grid friendliness.

The application relates to the technical field of building energy consumption control, and discloses an intelligent building multi-device linkage energy consumption optimization control system and method, which comprises an end-side device interaction network, an edge control calculation node and a cloud-end data analysis server. The edge node encapsulates the execution device into a multidimensional state vector, and calculates a micro-grid available power envelope curve in real time. When the expected total power is out of limit, the edge node calculates a state decay time window to adjust the device load sensitivity, and executes a cross-subsystem active energy efficiency replacement protocol to reduce the load demand of active energy consumption devices by using passive physical components. Further, the edge node calculates a time offset matrix by using a Lagrange multiplier method, rearranges an asynchronous scheduling sequence to execute peak-shaving control. The cloud-end server reversely identifies a device health degree decay factor based on long-period historical data. The application suppresses power surges caused by concurrent responses of devices, and guarantees control accuracy in the whole life cycle.

The application discloses an energy scheduling system of an energy storage unit in a distributed power station, comprising a data access unit, a scheduling calculation unit, an instruction execution unit and a feedback correction unit. The energy scheduling system of the energy storage unit in the distributed power station introduces the energy storage unit to participate in level determination, power factor risk judgment, station-level reactive power reservation quantity allocation, active charge and discharge upper limit inverse calculation under PCS apparent power envelope and execution deviation attribution correction in the energy storage energy scheduling process of the distributed power station, so that the charge and discharge scheduling of the energy storage unit and the power grid gateway power factor treatment are connected in the same scheduling period, the corresponding PCS capacity is reserved for the power factor treatment while the photovoltaic consumption, load peak shaving and time-of-use electricity price scheduling are considered, and the next period scheduling boundary is corrected according to the execution result.

The invention discloses adaptive biasing in a power amplifier circuit. The power amplifier circuit is configured to amplify a radio frequency (RF) signal based on a modulated voltage. Generally, the modulated voltage is generated based on a pre-established lookup table (LUT) that correlates an amplitude and a phase of the modulated voltage with a time-varying power envelope of the RF signal. In embodiments disclosed herein, an adaptive bias circuit may be dynamically activated to inject an adaptive bias current into a bias circuit in the power amplifier circuit to reshape amplitude-amplitude (AM / AM) and / or amplitude-phase (AM / PM) characteristics of the modulated voltage. Accordingly, it is possible to dynamically adjust AM / AM gain dispersion and / or improve a non-linear portion of the AM / PM characteristic of the modulation voltage, thereby improving the performance of the power amplifier circuit.

The application discloses a Shaguo Huang new energy power prediction method and system based on multi-time scale evaluation, and relates to the technical field of new energy power generation and power system operation control. The application effectively filters out abnormal prediction by dynamically determining each scale historical backtracking window and introducing cross-time scale power envelope constraints for consistency checking, and ensures the physical logic consistency between different scale prediction results; in combination with the start point offset checking and dynamic allowed interval verification, the application can timely identify and correct the prediction sequence seriously deviating from the actual situation, and greatly improves the anti-interference ability of the prediction system in a strong fluctuation scene.

This invention relates to the field of digital information transmission security and discloses a design method for an SM2 hardware accelerator resistant to side-channel attacks in an RTOS. The method includes: constructing an absolute time window strictly aligned with the communication time slot period based on a bus synchronization clock; monitoring the SM2 operation progress within the window and automatically triggering an isochronous flow control unit upon completion of the actual instruction; this unit drives the operation core to perform twin pseudo-instruction filling on irrelevant data, isomorphic to the actual instruction, until the window terminates and the result is output. This invention physically shapes non-constant-time cryptographic operations into carrier signals with fixed timing and continuous equal-amplitude power envelopes, eliminating feature leakage in differential power analysis and ensuring that the hardware accelerator presents a zero-jitter, time-rigid node to the RTOS, thus meeting the stringent requirements of deterministic transmission in industrial time-sensitive networks.

Improving power amplifier efficiency and linearity in a wireless transmission circuit is disclosed. Like conventional Doherty power amplifiers, a power amplifier circuit disclosed herein amplifies a signal using a carrier path and a peaking path. Contrary to activating the peaking path based on a conventional feedback-based activation scheme, the power amplifier circuit is configured to activate the peaking path based on a feedforward activation scheme. Specifically, the power amplifier circuit is configured to receive an envelope signal that is time-aligned with a time-variant power envelope of the signal to be amplified therein. Herein, the power amplifier circuit is configured to process the envelope signal to ensure that activation of the peaking path tracks compression of the carrier path under various local environmental conditions. As a result, it is possible to improve efficiency and linearity of the power amplifier circuit across a wide modulation bandwidth and under various local environmental conditions.

Methods, systems, and devices for power envelope modification for memory systems based on time to thermal throttle are described. A memory system may dynamically change the power limit based on operating conditions associated with the memory system. For example, the memory system may measure the time before entering a thermal throttle mode. If the time is relatively short, the memory system may decrease the power limit, which may cause the time before entering the thermal throttle mode during a subsequent burst of host activity to increase. Alternatively, if the time is relatively long, the memory system may increase the power limit, which may cause the time before entering the thermal throttle mode during a subsequent burst of host activity to decrease.

The application relates to the technical field of ultrasonic transducer driving and power electronics, in particular to an ultrasonic transducer driving method and system based on power envelope modulation, wherein the method comprises the following steps: receiving a control signal, charging and discharging an energy storage capacitor through bidirectional current control to obtain a linear voltage track, and outputting a power modulation control signal after isolation amplification by a voltage buffer; inputting the power modulation control signal into an injection node of a feedback network to form a voltage feedforward signal, changing an output adjustment target through a DCDC main circuit, generating a DC bus voltage varying with the control signal through closed-loop control; supplying power to bridge driving through the DC bus voltage to obtain an excitation waveform linearly scaled with the DC bus voltage; and inputting the excitation waveform into an ultrasonic transducer after processing by an LC output shaping network, to drive the ultrasonic transducer to realize smooth transition of upslope, platform and downslope within a single pulse group. Thus, the problems of contradiction between energy efficiency and performance, insufficient programmability and the like in the prior art are solved.

This invention discloses an energy management and control method and system for a plant energy storage system based on EMS, belonging to the field of energy management technology. It constructs a set of basic operating state variables; calculates the changes in remaining energy and load-side voltage of the energy storage system under adjacent data acquisition nodes to construct an operating state stability judgment result and generate a grid-connected / off-grid switching preparation status flag; when stability conditions are met, it constructs an energy-side envelope coefficient and a voltage-side disturbance suppression coefficient to form a grid-connected power envelope upper limit or an off-grid power envelope upper limit; it selects the corresponding maximum allowable output power and calculates the voltage consistency deviation between the energy storage system output voltage and the load-side bus voltage; when the deviation exceeds a preset threshold, it adjusts the power upper limit and generates a final power control command value, thereby improving the operating stability and voltage support capability of the plant energy storage system under grid-connected / off-grid operating conditions.

In one embodiment, a method herein comprises: determining, by an access point, a future transmit power envelope (TPE) change in a wireless local area network (WLAN); sending, from the access point to a plurality of wireless stations (STAs) within the WLAN, an indication of the future TPE change based on a particular coordination parameter; and performing, by the access point, the future TPE change for the WLAN according to the particular coordination parameter. In another embodiment, a method herein comprises: receiving, by a wireless station (STA) in a wireless local area network (WLAN), an indication of a future transmit power envelope (TPE) change from an access point for the WLAN; determining, by the wireless STA and based on the indication, a particular coordination parameter for the future TPE change; and performing, by the wireless STA, the future TPE change according to the particular coordination parameter.

Dynamic impedance modulation in a power management circuit is provided. The power management circuit, which includes a power management integrated circuit (PMIC) and a power amplifier circuit, is configured to amplify a radio frequency (RF) signal for transmission. Herein, the PMIC is configured to generate a supply voltage in accordance with a time-variant power envelope of the RF signal and the power amplifier circuit is configured to amplify the RF signal based on the supply voltage. Specifically, an impedance modulation circuit is provided in the power amplifier circuit and configured according to various embodiments to perform a load modulation when an instantaneous power level of the RF signal falls within a defined power range. As a result, it is possible to reduce a dynamic voltage range (e.g., peak-to-peak voltage range) of the supply voltage to help improve efficiency of the power management circuit.

The application discloses a charging pile system management method based on dynamic load balancing, and particularly relates to the technical field of charging pile management. Time domain scheduling data of a charging pile side, a power grid side and a distributed renewable energy output device side is collected, a station level state vector is obtained by fusion filtering, a station level prediction sequence of the charging pile in a next control period is generated based on the station level state vector and a rolling prediction model; a station level state vector and a station level prediction sequence are read by an inner layer controller, a power prediction optimization model is established and solved, and an expected station level power trajectory and a station level power redundancy are output; a result output by the inner layer controller is received, a station level power envelope curve and energy storage charging and discharging set values are comprehensively solved, and transmission is performed; a slope upper limit of the station level power envelope curve is contracted based on an oscillation amplitude, the new slope upper limit is substituted into the next solving, a subsequent power change rate is limited, and an unstable power exchange problem between a charging station and a superior power grid is effectively solved.

In one embodiment, a method herein comprises: determining, by an access point, a future transmit power envelope (TPE) change in a wireless local area network (WLAN); sending, from the access point to a plurality of wireless stations (STAs) within the WLAN, an indication of the future TPE change based on a particular coordination parameter; and performing, by the access point, the future TPE change for the WLAN according to the particular coordination parameter. In another embodiment, a method herein comprises: receiving, by a wireless station (STA) in a wireless local area network (WLAN), an indication of a future transmit power envelope (TPE) change from an access point for the WLAN; determining, by the wireless STA and based on the indication, a particular coordination parameter for the future TPE change; and performing, by the wireless STA, the future TPE change according to the particular coordination parameter.

In a first embodiment, a multi-radio access technology (multi-RAT) or 5G-only or 4G-only remote radio head (RRH) is disclosed, wherein the RRH is equipped with functionality and capability enabling it to measure total power usage from the entire RRH, or according to various granularities. In a second embodiment, a network architecture for providing cluster-level optimization of power is disclosed. The network architecture may include a non-RT SMO that provides optimizations based on measurements from various cells, which may incorporate data about total power usage of each cell. In some embodiments a heatmap may be used. In a third embodiment, techniques for calibrating power amplifiers in radio heads are disclosed, including calibration to specific use cases, calibration based on power envelope tracking, and calibration to a fixed number of set points.

A PCI Express accelerator card capable of exa-class artificial-intelligence inference within a six-hundred-watt power envelope is disclosed. The card receives twelve-volt DC power through a 12VHPWR connector and employs a multi-phase voltage-regulation network that distributes regulated power to stacked semiconductor dies on a silicon substrate. Distributed temperature sensors and predictive control firmware coordinate electrical and thermal management to maintain safe junction temperatures using standard air or liquid cooling, enabling desktop-class exa-FLOPS performance without immersion systems.