64 results about "Current cycle" patented technology

This application provides an address comparison and checking method, scalar processor, and device for a compressed issue queue. The method acquires a first instruction and a second instruction from the compressed issue queue; and obtains an address comparison and checking result based on the address correlation between the first instruction and each second instruction. Furthermore, a comparison and checking result vector is formed, and this vector is updated in advance based on the instruction status in the compressed issue queue in the next cycle. This method, by obtaining the address comparison and checking result based on the address correlation between the first instruction and each second instruction, can flexibly support diverse memory access granularities with a small hardware area overhead while ensuring processor performance (timing). Additionally, by calculating the next state of the comparison and checking result in advance based on the enqueue / dequeue status of the issue queue determined in the current cycle, and updating it directly in the next cycle, it ensures a one-to-one correspondence between the address comparison and checking result and the new instruction position in the issue queue, while also optimizing timing.

This application provides an energy-saving method and system for stamping processes based on fluctuating load hedging, relating to the field of cycle control technology. The method includes: real-time acquisition of load signals of each stamping press in each stamping cycle, identifying the peak load mutation point corresponding to the main blanking or drawing process in that cycle, and using the peak load mutation point as the current cycle phase reference point of the stamping press; obtaining the timestamp of the current cycle phase reference point of each stamping press relative to a unified time reference, and calculating the phase difference between any two stamping presses; when the phase difference between two stamping presses is less than a preset safety threshold, selecting at least one of the two stamping presses as the target stamping press; determining a compensation time amount according to a preset compensation rule, and sending a cycle adjustment command to the target stamping press to advance or delay the start time of its next stamping cycle relative to the original start time by the compensation time amount, thereby increasing the phase difference between the two stamping presses.

According to some embodiments, a battery diagnosis device includes an interface configured to acquire battery data from a diagnosis target battery for each collection interval when a current cycle is initiated and a controller configured to determine whether the battery data passes test items for each collection interval and generate a first count value of the current cycle, accumulate a number of times the determination of the test items fails in the current cycle and generate a second count value of the current cycle, perform a first diagnosis on the diagnosis target battery based on a first accumulated value of the first count value for a first number of cycles, and perform a second diagnosis on the diagnosis target battery based on a second accumulated value of the second count value for a second number of cycles.

The application provides an intelligent charging and discharging management system and method for a lithium battery module, and relates to the technical field of battery charging and discharging management. After detecting a charging connection signal, a relaxation curve of a cell terminal voltage decay over time is collected and fitted to determine a polarization voltage amplitude and a polarization relaxation time constant at the current time; according to the current state of charge, the target state of charge and the maximum allowable charging rate, the theoretical shortest charging time, the waitable time and the latest starting time are calculated; according to the waitable time, the current temperature of the lithium battery module and the current cycle number of the lithium battery module, the highest tolerable polarization voltage value is determined; the waitable time is taken as the upper limit of the time budget, and the polarization voltage amplitude is not greater than the highest tolerable polarization voltage value as a necessary condition, and the earliest time that meets the necessary condition in the time interval from the current time to the latest starting time is taken as the best charging starting time. The charging efficiency of the lithium battery module is improved.

A method of wireless communication includes performing audio processing to encode audio packets for voice over internet protocol (VoIP) communications during connected mode discontinuous reception (CDRX) operation. The audio processing occurs after an end of a prior ON duration of a prior CDRX cycle and either during a previous modem ramp-down period or during a current modem ramp up period. The ramp down period and the ramp up period correspond to a sleep time of a modem in the CDRX cycle. The method also includes transmitting the audio packets during a current CDRX cycle that follows the prior ON duration of the prior CDRX cycle.

This invention discloses a control method for a washer-dryer combo and the combo itself. The control method includes: acquiring the dynamic washing time of the washing drum during the current cycle and the set pre-drying time of the drying drum during the current cycle; determining the start time of the drying drum's pre-drying based on the difference between the dynamic washing time and the set pre-drying time; using the time from the start of pre-drying to the drying drum reaching the set pre-drying temperature as the actual pre-drying time; and ending the pre-drying process when the actual pre-drying time is reached. By dynamically adjusting the washing time of the washing drum, the pre-drying time of the drying drum is dynamically adjusted, preventing the drying drum from starting pre-drying prematurely, saving electricity, and effectively improving the user experience. A washer-dryer combo is also provided, comprising a washing machine and a dryer stacked on top of the washing machine. The washing machine has a washing drum, and the dryer has a drying drum, employing the aforementioned control method for the washer-dryer combo.

A solution for performing incremental mutation coverage testing is disclosed. The solution can identify, for a cycle of a test, a first signal not covered during preceding cycles of the test and select, for the current cycle, a first value for the first signal. The solution can, responsive to the first value, determine whether the first signal is covered by the test in the current cycle and identify whether a first assertion not covered during the one or more preceding cycles is covered in the current cycle. The solution can remove the first signal from a list of signals if it determines that it is not covered by the test and remove the first assertion from a list of assertions if the first assertion is determined to be covered. The system can identify, for a next cycle, a second signal from the updated one or more signals for the circuit.

This application relates to the field of semiconductor lighting driving control technology, and discloses a method for compensating for the luminous stability of a copper wire lamp under low-temperature conditions. This method injects a diagnostic current into the copper wire lamp during the turn-off time slot of a single-cycle driving sequence to obtain the transient voltage decay sequence of the light-emitting device. Based on this sequence, it decouples and calculates the equivalent ambient temperature and the mechanical stress deviation caused by the cold shrinkage of the packaging material. When the mechanical stress deviation exceeds a safety threshold, it calculates the corresponding active heat injection waveform parameters. Based on these parameters, it performs charge equivalence conversion, corrects the loss in the steady-state luminous time of the current cycle, and reconstructs and outputs a composite driving waveform including the heat injection and steady-state luminous stages. This invention improves the structural reliability and luminous stability of the device without adding external sensors by detecting and utilizing Joule heating to release low-temperature mechanical compressive stress through electrical signal quantization and Joule heating.

This application relates to the fields of power technology and energy storage technology, and in particular to a method, apparatus, equipment, and medium for scheduling a grid-connected distributed energy system. The system includes at least one edge energy node, a distribution bus, and an energy metering device. When any edge energy node enters the current cycle, the system acquires the net external power collected by the energy metering device and compares it with the target power to obtain a power deviation value. Based on the power deviation value and the energy state information of the edge energy node, droop control calculation is performed to obtain the current energy storage output power. Based on the current energy storage output power, power output is executed and the cycle repeats. This application establishes independent control of each edge energy node in the grid-connected distributed energy system through droop control calculation. It effectively achieves coordinated control of system-level power without the need for a central controller, improving the reliability, autonomy, adaptability, and real-time performance of the grid-connected distributed energy system control.

This application is directed to dynamic power management among multiple memory devices of an electronic system. A plurality of memory devices are coupled into a ring of memory devices, and passes a power data packet along a power control path that tracks the ring of memory devices continuously. During a current cycle, a first memory device receives the power data packet from an upstream memory device on the power control path, and the power data packet includes at least a system power level indicating total power consumption of the plurality of memory devices. The first memory device sets a current power level of the first memory device based on the received power data packet, updates the power data packet based on the current power level, and sends the updated power data packet to a downstream memory device on the power control path.

The application discloses a ferromagnetic saturation and inrush current discrimination method and device reflecting concave-convex offset of current waveform, and the method comprises the following steps: obtaining three-phase differential current waveform according to three-phase currents of each side of a transformer, and collecting variation sequence of three-phase differential currents of the transformer based on the three-phase differential current waveform; calculating current variation difference, absolute value of the current variation difference, current period integral of the current variation difference, current period integral of the absolute value of the current variation difference, T / 3 period integral, 2T / 3 period integral and maximum number of two points of the absolute value of the current variation difference; when the sum of the T / 3 period integral, the 2T / 3 period integral, the maximum number of two points of the absolute value of the current variation difference, the absolute value of the current period integral of the current variation difference satisfies the ferromagnetic saturation and inrush current criterion reflecting the concave-convex offset of the current waveform, the inrush current or CT saturation is determined, and the differential protection is blocked. The same criterion is used, and effective identification of the inrush current and the saturation is realized.

This invention relates to the field of arc fault detection technology, specifically to an intelligent arc fault detection method and device. The method includes: acquiring electrical data from monitoring points; filtering current and voltage surge peaks based on the amplitude distribution of electrical data in the current and historical periods; constructing a bipartite graph with the current and voltage surge peaks as vertices; using the time interval between the current and voltage surge peaks as a matching weight to match the current and voltage surge peaks, obtaining matching pairs; obtaining the relative standard deviation of the ratio based on the overall distribution characteristics of the voltage amplitude to current amplitude ratio in the matching pairs; obtaining the proportion of isolated current surges based on the proportion of unmatched current surge peaks; and determining the current arc state by combining the relative standard deviation and the proportion of isolated current surges. This invention improves the accuracy of arc fault detection results.

The application discloses a working mode detection method and circuit of an active clamp flyback converter, a main control chip, samples a drain end voltage VDS of a main power tube QL in a current period, detects a first voltage drop time of the main power tube QL after the main power tube QL is turned off, and determines the working mode of the current period of the active clamp flyback converter by judging the sequence of the first voltage drop time and a clamp tube driving time. Furthermore, based on the working mode determination result, the dead time of the active clamp flyback converter is accurately adjusted to be suitable for the detected working mode, the problem of mismatching between the dead time and the working mode is avoided, the main power tube QL of the active clamp flyback converter can keep realizing soft switching in a full load range, the switching loss of the active clamp flyback converter is greatly reduced, and the efficiency of the converter is improved.

The application discloses a multi-target collaborative optimization control method of an environmental protection device and related devices, relates to the technical field of industrial intelligent control, obtains a working condition tensor for comprehensively representing a real running state and a pollutant emission level of the environmental protection device in a previous period, inputs the working condition tensor into an energy consumption optimization strategy network, obtains a basic control instruction vector of a current period and directed at energy saving, inputs the working condition tensor and the optimization control instruction vector of the previous period into a digital twin for simulation and prediction, obtains a predicted working condition tensor of the current period, obtains a measured working condition tensor corresponding to the predicted working condition tensor, compensates and corrects the basic control instruction vector according to the component residual errors corresponding to the pollutant emission level in the predicted working condition tensor and the measured working condition tensor, obtains a compensation control instruction vector, performs limiting processing based on a physical safety boundary, and obtains an optimization control instruction vector of the current period. The application can improve the adaptive control capability of the environmental protection device under dynamic working conditions.

This invention relates to the field of microgrid control technology, and provides a method and system for real-time energy flow optimization in a wind-fishery integrated microgrid. The method includes: real-time acquisition of the status information of key components within the microgrid; defining the optimization objective and operational constraints for the current microgrid control cycle based on the operation strategy; within each control cycle, calculating the optimal power allocation and scheduling strategy for the current cycle based on the status information and the optimization objective and constraints using a real-time optimization algorithm, whereby the strategy includes at least the charging and discharging power decision of the energy storage system and the operational status decision of the controllable aquaculture load; and generating control commands based on the optimal strategy and issuing them to the controllable devices within the microgrid for execution. This invention solves the problem that traditional fixed strategies cannot adapt to fluctuating power sources and diverse loads by dynamically scheduling in conjunction with real-time system status perception and optimization objectives, thereby improving energy utilization efficiency and power supply reliability, and reducing operating costs.

The application relates to the technical field of gallium nitride inverters, and discloses a gallium nitride inverter adaptive dead-time adjusting method and system. The method comprises the following steps: after the upper tube of the gallium nitride inverter is turned off, the bridge arm voltage sequence of the bridge arm switch node and the freewheeling current sequence of the lower tube are collected; the bridge arm voltage transient slope value is calculated based on the bridge arm voltage sequence, and the zero-voltage switching margin value is calculated; the dead-time reference value is generated according to the bridge arm voltage transient slope value and the freewheeling duration value; the zero-voltage switching margin value is adjusted to the preset target margin value, the dead-time compensation increment is obtained, and the current cycle dead-time value is generated; and the rising edge and the falling edge of the reference pulse width modulation signal are respectively delayed by driving the programmable delay line according to the current cycle dead-time value, so that the first gate drive pulse signal of the upper tube and the second gate drive pulse signal of the lower tube are generated. The application effectively solves the dead-time optimization problem caused by the nonlinear turn-off characteristics of the gallium nitride device.

This invention discloses a method and system for calculating the number of revolutions in a BLDC motor based on dynamic time window verification, belonging to the field of motor control technology. The method includes: acquiring Hall sensor signals from the BLDC motor and performing edge detection and debouncing processing to generate Hall transition edges; obtaining the current period by measuring the time interval between adjacent valid Hall transition edges based on the system clock; calculating the lower and upper bounds of the dynamic time window based on the current period and a dynamic adjustment coefficient; and performing three-level pulse discrimination based on the relationship between the arrival time of the Hall transition edge and the dynamic time window: triggering revolution count accumulation when the pulse is determined to be valid, blocking the pulse when it is determined to be a glitch pulse, and generating a compensation pulse and triggering revolution count accumulation when the pulse is determined to be lost. This invention solves the problems of insufficient anti-interference capability and lack of signal loss compensation mechanism in existing technologies under variable speed conditions and strong electromagnetic interference environments, significantly improving the accuracy and reliability of revolution count calculation.

The application relates to an energy management method and device, a vehicle and a storage medium, comprising: acquiring a current vehicle speed, a current state of charge of a lithium battery, a variable load frequency of a fuel cell in a current period and a current road condition; determining a prediction probability of the fuel cell reaching a preset variable load frequency in a preset time length according to the current vehicle speed, the current state of charge, the variable load frequency and the current road condition; and performing energy management on the fuel cell based on a preset two-stage power maintenance strategy in the case that at least one of the variable load frequency, the prediction probability and the current state of charge meets a preset energy management condition. Thus, the problem that, in the related art, the flexibility of energy management on a fuel cell vehicle is insufficient, the variable load frequency and amplitude are not fully considered, the fuel cell needs to frequently adjust the output power under large power fluctuation, the dynamic loss is aggravated, the service life is shortened, the adaptability of the fuel cell to load change and the response timeliness are improved, the dynamic loss is reduced, and the service life is prolonged.

This invention discloses an intelligent control method and system for CPU frequency adjustment based on big data, relating to the field of cloud computing technology. The method includes: periodically collecting server operating status data to obtain the actual utilization rate, actual power consumption, core temperature, and task queue length for the current period; calculating the predicted utilization rate for the next control period based on the operating status data using a trend prediction model; determining the optimal target frequency based on the predicted utilization rate; and generating and executing frequency adjustment instructions according to the optimal target frequency to set the CPU to the optimal target frequency, forming a closed-loop adaptive control. This invention achieves intelligent adaptive adjustment of CPU frequency by proactively predicting load and collaboratively optimizing performance risks and power consumption costs, significantly improving the system's energy efficiency ratio and service quality stability under dynamic loads.

The application discloses a power distribution method and device of an energy storage system and a nonvolatile storage medium. The method comprises the following steps: determining a plurality of powered-on stacks capable of participating in power distribution in a target energy storage system in a current period and a state of charge corresponding to each powered-on stack; in the case that a target power distribution mode of the target energy storage system is a proportional distribution mode, determining a distribution weight corresponding to each powered-on stack in the current period based on the state of charge corresponding to each powered-on stack; and determining a target distribution power corresponding to each powered-on stack in the current period based on the distribution weight corresponding to each powered-on stack and a total distribution power of the target energy storage system in the current period. The application solves the technical problem of inaccurate determination of the distribution power of the plurality of powered-on stacks in the energy storage system in the related art.

This invention discloses an adaptive EMS closed-loop control method, comprising: periodically acquiring a set grid power and an actual grid power, and calculating the error power, error power change value, and cumulative error power value for the current period based on the set grid power and actual grid power for the current period; determining the system's operating state based on the error power and error power change value for the current period; if the determination result indicates that the system needs to adjust towards the set grid power, then, based at least on the error power and cumulative error power value for the current period, employing a first adjustment strategy to adjust the target power for the current period; if the determination result indicates that the inverter's actual output capability is limited, then, based at least on the difference between the target power and the inverter's actual output capability for the previous period, employing a second adjustment strategy to adjust the target power for the current period; and outputting the target power for the current period to the inverter based on the adjustment result. This invention can effectively avoid system oscillations.

The application provides a stamping process energy-saving method and system based on fluctuation load hedging, and relates to the technical field of beat control. The method comprises the following steps: collecting the load signal of each stamping machine in each stamping cycle in real time, identifying the peak load mutation point corresponding to the main blanking or stretching process in the cycle, and taking the peak load mutation point as the current cycle phase reference point of the stamping machine; obtaining the timestamp of the current cycle phase reference point of each stamping machine relative to the unified time reference, and calculating the phase difference between any two stamping machines; when the phase difference between two stamping machines is less than a preset safety threshold, at least one of the two stamping machines is selected as a target stamping machine; a compensation time amount is determined according to a preset compensation rule, and a beat adjustment instruction is sent to the target stamping machine, so that the starting time of the next stamping cycle of the target stamping machine is advanced or delayed by the compensation time amount relative to the original starting time, so as to increase the phase difference between the two stamping machines.

This invention discloses a method, system, equipment, and medium for determining the initial rolling level value. It includes obtaining the initial rolling level value for the current cycle based on a preset formula and rolling characteristic coefficients, using the deviation and level value of the rolling force in the previous rolling cycle and the deviation value of the rolling force in the current cycle. The invention adds the relationship between the initial rolling level value and the rolling force deviation during the two calibrations and before zeroing the pressure head, as well as the relationship between the level value and rolling force deviation during the rolling of two strips, allowing the entire calculation to be directly performed using test data. This improves the stability and accuracy of initial rolling after roll changes and, to some extent, avoids the problem of camber during the initial rolling process.

This application relates to the field of industrial control, specifically to a board status monitoring and event-driven method, terminal, and system. The method includes: acquiring board operating status data collected according to a preset cycle; determining whether the board's operating status has changed based on the current cycle's board operating status data and the previous cycle's board operating status data; if so, generating board operating status change data; writing the board operating status change data into a preset shared data memory; and sending an event notification signal to a main application based on the current cycle's board operating status data, so that the main application, in response to the received event notification signal, reads the current cycle's board operating status data from the shared data memory and executes corresponding business processing. This application decouples the board monitoring process from the main application's business logic, improving the real-time performance, reliability, and system operating efficiency of board status monitoring.

This invention provides a method, system, and lifting device for motor resistance reversal, relating to the field of motor control technology. The method includes: Step S1, acquiring the real-time current of the motor during stable operation; Step S2, calculating the similarity between the real-time current of the current cycle and the real-time current of the previous cycle, and determining whether the similarity is within a preset similarity threshold range: if yes, return to step S2; if no, determine that the motor is encountering resistance and control the motor to reverse and reverse. The beneficial effect is that by acquiring the motor's real-time current periodically and then comparing the similarity of the current between adjacent cycles to determine whether resistance has occurred, the possibility of false alarms due to power supply voltage fluctuations and interference factors is reduced; and equipment costs are effectively controlled.

The application discloses a kind of fast dynamic response control system and fast dynamic response switching power supply, switching power supply control design field, the control system includes: sampling voltage generation module, sampling capacitor, sampling point determination module, sampling pulse generation module, error amplifier module, sampling switch module, comparison module, modulation module and drive module;System is converted into charge-discharge current by voltage-current conversion circuit to voltage feedback end voltage, the sampling capacitor is charged and discharged to generate sampling voltage, based on current cycle demagnetization time adaptive determination sampling point, the output signal of error amplifier is synchronously sampled;Solve the problem of slow dynamic response caused by fixed sampling time of traditional switching power supply, can be quickly adjusted when input voltage, load current and other external working condition changes, effectively suppresses output voltage surge and undershoot, realizes excellent dynamic response performance, applicable to flyback and other various switching power supply topological structures.

This application provides a timestamp synchronization method, system, terminal, and storage medium, relating to the field of communication technology. The method includes: acquiring NTP time information and local timekeeping information for the current period; calculating the time difference between the NTP time information and the local timekeeping information to obtain a first time difference value for the current period; acquiring n historical time difference values ​​for n consecutive historical periods, wherein the n consecutive historical periods include the period preceding the current period; comparing the first time difference value and the n historical time difference values, and determining step fine-tuning parameters based on the comparison results, wherein the step fine-tuning parameters include positive fine-tuning action parameters and negative fine-tuning action parameters; adjusting the local timekeeping accumulation logic according to the step fine-tuning parameters, and outputting the current timestamp information. This application can improve the accuracy of timestamp synchronization while avoiding timestamp rollback.

The application provides an AI self-learning-based real-time optimization method and system for a cold station. The method comprises the following steps: in each control cycle, collecting real-time data of key operating quantities of the cold station and performing preprocessing to generate constraint contribution values and operating constraint states of each operating quantity; calculating an overall adjustment coefficient, calculating a differentiated adjustment coefficient for each key operating quantity, and calculating a set of adjustable operating spaces that are constrained in the current control cycle; taking the operating strategy executed in the last cycle as a starting point, calculating an operating decision value of the current cycle under the boundary constraint of the set of adjustable operating spaces; converting the operating decision value into device control instructions that can be issued in the current cycle through an inertial progressive updating method, and sending the device control instructions to the cold station execution device to complete closed-loop control. The application provides a structured and implementable technical path for long-term application of self-learning technology in actual cold station scenarios.

This invention discloses an open-winding motor, its control method and apparatus, and a computer-readable storage medium. The method includes: acquiring the motor's current zero-phase setpoint current, zero-phase feedback current, feedback angular velocity, rotor position angle, q-axis voltage, d-axis voltage, and DC bus voltage; acquiring the historical zero-phase feedback current after N sampling times prior to the current cycle, where N is a positive integer; acquiring the motor's zero-phase setpoint voltage based on the zero-phase setpoint current, zero-phase feedback current, historical zero-phase feedback current, and feedback angular velocity; acquiring the duty cycles of the first and second inverters based on the zero-phase setpoint voltage, rotor position angle, q-axis voltage, d-axis voltage, and DC bus voltage; and controlling the motor based on the duty cycles. Therefore, this method only requires storing the historical zero-phase feedback current from one cycle ago, eliminating the need for complex and heavy-load data calculations, and can be implemented using a low-cost microcomputer.