586 results about "Power management system" patented technology

The invention relates to the technical field of vehicle lamp systems, in particular to an intelligent vehicle lamp system based on DLP projection, a control method and a vehicle. The intelligent vehicle lamp system based on DLP projection comprises an optical system, an intelligent control system, an execution module and a power management system, the system collects environment data in real time through a sensor, a central processing unit fuses multi-source information and generates a control instruction through an AI algorithm, and the light source brightness, the irradiation angle and the road surface projection content are dynamically adjusted; meanwhile, voice interaction and remote control are supported, and the self-adaptive lighting and safety warning functions are achieved. Through the intelligent control and DLP projection technology, the vehicle lamp performance is improved, the lighting effect is optimized, and the night driving safety is enhanced; self-adaptive adjustment is realized, and the driving experience is improved; the energy consumption is reduced by more than 30%; the battery life is prolonged; v2X communication is supported, and intelligent early warning is realized; a voice control function is provided, and operation is more convenient and safer; a road surface projection function is added, navigation arrows and warning marks can be displayed, and visual driving assistance is provided.

The invention discloses an IP event counting device and method, equipment and a storage medium. Comprising an IP function module and a power management module. The IP function module comprises a counting register; the power management module comprises a counting mirror image register and a cardinal number register; the counting register is connected with the counting mirror image register through a hardware connection line; when the IP function module is powered off, the IP function module reads the first count value from the count register and reads the third count value from the cardinal number register, the first count value and the third count value are accumulated, and an accumulation result is written into the cardinal number register to serve as a new third count value; and when the IP function module is in a power-on state, the power management module reads the second count value from the counting mirror image register every set duration, accumulates the read second count value and the third count value through the adder, and determines an accumulation result as a target count value of the preset IP event. And occupation of software and hardware resources of the power management system is reduced.

The invention relates to the technical field of vehicles, in particular to a dual-redundancy power supply management system and method, and the system comprises an intelligent power distribution unit which is integrated with a first-stage power distribution circuit and a second-stage power distribution circuit; a plurality of MOS (Metal Oxide Semiconductor) tubes are arranged in the primary power distribution circuit and are used for executing corresponding switching operations according to different power failure modes; the secondary power supply distribution circuit comprises a plurality of high-side driving units and is used for providing controlled power supply output for a load, and the high-side driving units have the functions of current detection, temperature detection and fault protection; and the control unit is used for controlling the on-off states of the MOS tube and the high-side driving unit and realizing feedback and remote control of fault information through a bus. Therefore, the problems of low integration level, limited functions, insufficient safety, difficulty in meeting high-order intelligent driving requirements and the like of a vehicle power supply management scheme in related technologies are solved.

The utility model provides a management function board applied to a mobile phone battery, which belongs to the technical field of mobile phone battery function boards and comprises a battery management module, a battery management module and a battery management module. An FPC flexible circuit layer and a PCB hard circuit layer; the through hole windows are formed in the upper end of the FPC flexible circuit layer, line conduction is achieved through alignment of the multiple layers of through hole windows, the overall mechanical stability of the provided mobile phone battery management function board is remarkably enhanced by adopting the integrated forming and pressing design of the FPC flexible circuit layer and the PCB rigid circuit layer, the FPC and the PCB are tightly combined through the pressing technology, and the reliability of the mobile phone battery management function board is improved. Compared with the prior art, the power management system has the advantages that the interlayer separation risk caused by long-term use or external impact is reduced, the durability and reliability of the whole power management system are improved, in addition, the high reliability of electrical connection is ensured through the accurate via hole windowing design and the SMT high-temperature processing technology, signal transmission is more stable, and power transmission is more efficient.

The invention discloses a self-adaptive multi-phase parallel power supply management system, and relates to the technical field of intelligent regulation and control of a power system, and the system comprises a feature extraction module which is used for extracting periodicity, tendency and randomness features from historical power utilization data and real-time sensor data, determining a load sudden increase probability through a time sequence decomposition algorithm, and determining a load sudden increase probability; obtaining a load sudden increase probability value; the load prediction module is used for processing real-time load data through a multi-layer perceptron structure if the load sudden increase probability value is higher than a preset threshold value, predicting a load sudden increase peak value and duration in an hour-level or minute-level time window, and obtaining a load sudden increase prediction result; according to the self-adaptive multi-phase parallel power supply management system, multi-algorithm collaboration and real-time dynamic optimization are adopted, the operation stability and power supply continuity of a power grid are remarkably improved, and overload and voltage fluctuation risks are reduced.

An Unmanned Aerial Vehicle power management system is configured to match and manage power demands with combined power output from the power storage devices and dynamic generation via a turbine (combustion) motor, while preventing overcurrent and under voltage loads on the power storage devices. The powerplant and power management system of the present invention are, in one embodiment, directed for use with a vertical take-off and landing (VTOL) UAV having multiple forward propulsion propellers (FP) and multiple vertical lift (VL) propellers.

The invention discloses a charging pile power management system based on the Internet of Things, and particularly relates to the technical field of the Internet of Things, and the system comprises a data collection module which collects the real-time operation data of a charging pile through a sensor, and forms a data set; the data processing module is used for processing the data according to a preset or optimization strategy and generating a processed data set; the scene analysis module performs analysis based on the processing data set and divides the operation scene of the charging pile; the data feature extraction module is used for extracting and analyzing features when an optimization mechanism is triggered; the logic judgment module is used for formulating an optimization strategy through fuzzy logic reasoning and sending the optimization strategy to the data processing module; the power energy efficiency management module is used for adaptively adjusting power distribution and improving the energy efficiency of the system; the data transmission delay can be reduced, the response speed can be improved, a user can obtain smoother experience when using the charging pile, transmission of redundant information is reduced through an optimization strategy, and efficient power management is achieved.

The invention discloses a power management system in an embedded network terminal and a control method thereof, and relates to the technical field of micro-grids. The system is deployed in a building micro-grid and can communicate with a micro-grid central control unit, an adjacent terminal or an edge server. The processing unit receives the day-ahead moving trajectory as a rolling optimization initial solution, identifies building thermal model parameters based on local observation data and carries out linearization to obtain a local optimization model; local short-term prediction and edge server correction information are fused, an optimization sub-problem is constructed, distributed solution is carried out through an alternating direction multiplier method, and continuous variable candidate solutions are obtained in a calculation quota; aiming at a binary switch decision query strategy mapping table, when solving is not converged, adopting the table to output or finite depth search results; and when the communication is interrupted or the solving is failed, executing the rollback control to guarantee the indoor comfort and the energy storage safety. The method is used for improving scheduling real-time performance and communication efficiency under the condition of limited calculation and bandwidth, so that indoor comfort and energy storage safety are guaranteed.

The invention relates to the technical field of video card power management, and discloses a power management method, device and equipment for a video card and a storage medium. The method comprises the following steps: collecting time sequence data of SM unit frequency of a graphics card, GDDR video memory bandwidth and VRM output voltage in real time, and establishing a GPU power consumption topology model; based on the GPU power consumption topology model, extracting a time sequence feature vector of the load change of the rendering pipeline; constructing a sparse representation matrix based on the time sequence feature vector; performing power consumption gradient threshold judgment and delay type classification by using the sparse representation matrix, and identifying a delay fault type in the current graphics card power management system; and adjusting a switching parameter of the GPU, a VRM compensation current and a fan rotating speed according to the identified delay fault type, and updating a delay detection threshold value and a repair strategy strength parameter. According to the invention, three different delay fault types of frequency climbing, voltage regulation and temperature control current limiting can be accurately distinguished, and continuous optimization of power management performance is realized.

The invention relates to the technical field of power consumption management, in particular to an intelligent power consumption management system integrating operation data strategy tuning, which comprises a data acquisition module used for acquiring multi-dimensional data to obtain effective data; the data analysis module is used for obtaining multi-dimensional power consumption data based on the effective data; the environment data processing module is used for carrying out standardization processing on the real-time environment data, distributing weight coefficients according to equipment types and obtaining environment comprehensive factors through weight calculation; the strategy generation module is used for determining an equipment macroscopic control mode according to the environment comprehensive factors, refining calibration control parameters according to the single environment data and the multi-dimensional power consumption data, and generating an equipment energy-saving strategy; and the strategy execution and feedback module is used for executing the energy-saving strategy of the equipment and optimizing the energy-saving strategy of the equipment according to the evaluation result. According to the scheme, through the full-process power consumption management system, the equipment loss and the power consumption cost are reduced.

The invention discloses an electric service power supply management system based on remote monitoring, and relates to the technical field of power supply monitoring management. The information acquisition module is used for acquiring information of power supply equipment to obtain equipment information; through the set health assessment method, the health condition of the target equipment can be assessed according to the operation information of the target equipment, the hidden fault is judged by analyzing and identifying the operation parameters of the target equipment to obtain the health condition, and before the health condition assessment process, the power supply equipment is classified, so that the power supply equipment is classified. The information of different target categories is stored in different information bases to improve the information processing efficiency, the discharge strategy of the target equipment is adjusted according to the health condition of the target equipment through a set strategy output method to obtain a target strategy, related equipment is processed in advance according to potential risks, and the risk of the related equipment is reduced. Therefore, the operation of the target equipment is optimized and adjusted, the service life of the target equipment is prolonged by managing the target equipment, and the risk of sudden power failure is reduced.

The invention discloses a safety monitoring system and monitoring method for a hydrogen storage device, and relates to the technical field of hydrogen storage, and the system comprises an energy supply module which supplies power to a data collection device through an intelligent power management system; the data acquisition module is used for collecting real-time operation data from a sensor of the hydrogen storage device; the intelligent analysis module is used for performing real-time analysis on the collected data based on a machine learning algorithm, establishing a safety risk assessment model and obtaining a risk development trend; the early warning control module is used for judging whether abnormity occurs or not based on the risk development trend; and the remote monitoring module communicates with the subsystems through a network and provides remote data monitoring. According to the method, key data of the hydrogen storage device are collected in real time, intelligent analysis is conducted through machine learning, environment changes are monitored in real time, safety risks are recognized in advance, leakage and pressure anomalies are recognized through deep learning and an anomaly detection algorithm, the risk development trend is predicted, and safe operation of equipment is guaranteed.

The invention provides a control method and device for power switching of charging modules, a storage medium and an application power management system, the system comprises a plurality of charging modules and switching modules, every two charging modules of the plurality of charging modules are connected through the switching modules, and the switching modules are connected with the charging modules. The switching module is used for controlling connection and disconnection among the plurality of charging modules, and the method comprises the following steps: obtaining a power demand of a target charging terminal and operation parameters of the plurality of charging modules, determining the number of the charging modules to be input for meeting the power demand according to the power parameters, the method comprises the following steps: firstly, operating a plurality of charging modules, calculating comprehensive health degrees corresponding to the plurality of charging modules based on operating time and operating efficiency, then, determining switching priorities corresponding to the plurality of charging modules, determining the charging modules needing to be switched according to the switching priorities, and finally, controlling a switching module to perform switching control on a target switching charging module. Individual modules in the plurality of charging modules can be prevented from being overused, and the service life of the charging modules is prolonged.

In one embodiment, a stylus includes one or more electrodes and one or more computer-readable non-transitory storage media embodying first logic for transmitting signals wirelessly to a device through a touch-sensor of the device. The stylus has a first power mode in which components of the stylus for receiving signals from or transmitting signals to the device are powered off; a second power mode in which components of the stylus for receiving signals from the device are powered on at least periodically and components of the stylus for transmitting signals to the device are powered off; and a third power mode in which components of the stylus for transmitting signals to the device are powered on at least periodically. The media further embodies second logic for transitioning the stylus from one of the first, second, and third power modes to another one of the first, second, and third power modes.

The invention provides a power supply management method and a power supply management system for a plurality of power supply racks, which can be applied to the technical field of server power supply management. The method comprises the following steps: acquiring a first fault signal of at least one second power supply unit in any slave power supply rack in response to a slave controller of any slave power supply rack, adjusting the output of a fault-free second power supply unit in any slave power supply rack so as to keep the output of any slave power supply rack unchanged, and sending the first fault signal to a master controller; the master controller generates a first adjustment signal according to the first fault signal, and synchronously sends the first adjustment signal to a slave controller of at least one slave power supply rack; and the master controller and the slave controller respectively adjust the output of the power supply unit of the power supply rack according to the first adjustment signal, so that the outputs of the power supply units of the plurality of power supply racks are consistent. According to the invention, the problem of poor power supply stability of a power supply management method in the related technology is solved.

A power management system is configured to calculate an amount of electric power for travel and an amount of consumption-related electric power based on a power consumption parameter representing electric power consumed in a vehicle, the amount of electric power for travel being consumed while the vehicle is traveling until reaching a destination, the amount of consumption-related electric power being required to execute a function of an in-vehicle device used until the destination is reached; create a power use plan for traveling to the destination; and determine whether it is appropriate to use the current power use plan. An updated power use plan that is different from a current power use plan is created when it is determined that the current power use plan is inappropriate.

A battery monitoring system (BMS) for a battery of a battery electric system includes a sensor array, a processor, and memory. Execution of the instructions causes the processor to receive battery parameters from the sensor array during respective charging and discharging modes of the battery, including at least a voltage, current, and temperature of the battery. Separate charge-side and discharge-side resistances of the battery are determined during charging and discharging modes, followed by calculation of a degradation level of the battery using the charge-side and discharge-side resistances. The processor may also perform a preventive action in response to the degradation level exceeding a calibrated threshold.

The invention discloses a passive wireless sensor power management system for a transformer substation, and relates to the technical field of transformer substation power management, comprising the following steps: acquiring electric energy from an electromagnetic field, a temperature difference or micro vibration in a transformer substation environment, and respectively storing the electric energy in a capacitor and a solid-state battery; the stored electric energy is preprocessed, the remaining electric quantity is collected, and an energy supply and demand prediction model is constructed. According to the invention, the problems of unstable power supply and low energy utilization rate of the passive wireless sensor of the transformer substation in a complex environment are effectively solved, and the capturing efficiency of low-density environment energy is improved; the stability and the service life of energy storage are optimized; according to the method, prospective judgment of the energy supply and demand trend and on-demand distribution of power supply resources are achieved, power supply does not need to depend on a traditional battery, the maintenance cost and the safety risk are reduced, and the overall stability and practicability of the intelligent monitoring system of the transformer substation are improved.

A server includes a processing device. The server manages a plurality of vehicles. The processing device sets priority levels for the vehicles. The processing device sets the priority level of a vehicle in which its switching device is in a closed state to be higher than the priority level of a vehicle in which its switching device is in an open state. The processing device selects, based on the priority levels, a participating vehicle to be used for demand-increasing demand response from among the vehicles.

The invention belongs to the technical field of power system automation and energy management, and particularly discloses a standby power management system for power utilization information acquisition of a power grid and a control method. The system comprises a main power supply monitoring module, an energy reserve management module, a communication environment sensing module, an energy efficiency strategy decision core and a task priority scheduling module. The communication step length and the transmitting power are dynamically adjusted by capturing the states of a power grid, a battery and a channel in real time, and data scheduling is executed according to priorities. By the adoption of the technical scheme, fine distribution of electric energy is achieved, invalid standby power consumption is reduced, the life cycle of the collection terminal in the power-off state is prolonged, reliable reporting of key information under the extreme working condition is ensured, and data support is provided for research and judgment of power grid faults.

A power controller may monitor a power required by each of a plurality of power loads coupled to a power distribution bus. The power loads can include a plurality of devices for oil and gas exploration or production. The devices can include a plurality of drilling rigs or equipment associated with one or more of the drilling rigs. The power controller may monitor the power supplied by each of a plurality of power sources coupled to the power distribution bus. The power sources can include power from any two or more of the following: an electric utility, an electric grid, a natural gas turbine, a battery, a solar power generator, a wind generator, and a geothermal generator. The power controller may adjust the power supplied to a first one of the plurality of power loads based at least in part on a first one of the plurality of power loads.

The embodiment of the invention provides a multi-power-domain power management method, a power management system and electronic equipment, and relates to the technical field of power consumption management. The method is applied to a power supply normally open domain of the power supply management system, the power supply management system further comprises a main low dropout linear regulator, a plurality of power supply domains, a power supply switch array and an analog domain, the main low dropout linear regulator and the analog domain are connected with an external power supply, and the main low dropout linear regulator is connected with the power supply domains through the power supply switch array. The analog domain comprises a high-speed clock; the method comprises the following steps: in response to a standby mode entering instruction, sending a first control signal to an analog domain to turn off a high-speed clock; sending a group of second control signals to the power switch array to cut off power supply to at least one target power domain; and sending a third control signal to the main low-dropout linear voltage regulator to regulate the main low-dropout linear voltage regulator to enter a low-power-consumption working mode Therefore, the time for entering the low-power-consumption mode can be reduced.

Systems and Methods are disclosed for detecting acute coronary syndrome (ACS) events, arrythmias, heart rate abnormalities, medication problems such as non-compliance or ineffective amount or type of medication, and demand / supply related cardiac ischemia. The system may have both implanted and external components that communicate with a Physicians's programmer, and smart-devices for monitoring and alerting to detected medically relevant events or states. At least one processor provides event detection using statistical threshold criteria calculated upon at least a portion of a patient's data / distributions and set for a patient or based upon what a doctor determines as abnormal for a patient. A power management system provides at least 2 strategies of evaluating power level including at least obtaining a voltage measure and measuring and calculating a cumulative capacity measure and comparing these two measure to their respective thresholds.

A vehicle power management system and method are provided for disconnecting / resetting a load and using a current profile based on vehicle information. Each channel of the power management system can be turned off automatically to isolate a faulted load or commanded to reset a downstream device. Also, the power management system can compensate its response based on ambient temperature or other vehicle conditions. Other embodiments are provided.

The invention relates to the technical field of intelligent electric power, in particular to a power management system and device based on artificial intelligence and voltage stabilization protection, and the system comprises a switching power supply module, an explosion-proof protection module and a multi-scale intelligent detection module. Multiple protection mechanisms are designed, the anti-interference capability is improved through electromagnetic filtering, voltage stabilization protection and current limiting protection are designed to ensure that the output voltage is stable, the circuit is rapidly cut off when the output voltage is abnormal, the detection unit feeds back the output voltage in real time, the control unit achieves closed-loop adjustment, the working state of the transformer is dynamically adjusted, and the voltage stabilization precision is improved. Each unit supports independent optimization, and the adaptive capacity is high; according to the signal anomaly detection method designed by the invention, synchronous detection is realized through global-local joint modeling, a mask proportion is dynamically adjusted through signal entropy to focus a key signal segment, the robustness to complex working conditions is improved, a time ordinal number and a channel space relationship are fused, and multi-sensor data relevance is enhanced; and the capability of identifying abnormal current and voltage is improved.

The invention relates to the field of power management, and particularly discloses an instrument power management system for a transformer substation, which is characterized in that firstly, mixed original load data is subjected to multi-dimensional component analysis according to service functions, and different types of load growth sources such as protection, monitoring and the like are finely distinguished; then, the depth time sequence analysis capability of the large model is utilized to independently predict the future evolution trend of each component, and a clear future load structure chart is formed. Furthermore, the predicted future load data is combined with the battery characteristic parameters updated in real time to carry out prospective risk index deduction, and abstract current values are converted into specific and visual risk quantitative indexes such as future accident backup time. Therefore, the system can generate structured early warning including risk attribution for several months or even longer time in advance.

The invention discloses an integrated intelligent power management system and a harmonic control method. The method comprises the following steps: acquiring analog signals of voltage and current; digital signal sequences of voltages and currents in the N power distribution nodes are generated; obtaining a K-order frequency domain harmonic component of each power distribution node; judging abnormal harmonic nodes; if the abnormal harmonic nodes exist in the N power distribution nodes, constructing a harmonic description matrix for abnormal harmonic source positioning; inputting the harmonic description matrix into a pre-trained abnormal harmonic source positioning model, and outputting an abnormal node identifier where an abnormal harmonic source is located; according to the method, the judgment of the abnormal harmonic nodes is converted from single-index passive alarm to multi-feature driven active identification, and the management level of a power system is improved.

The present disclosure relates to a server, a power management system, and an energy management method. The energy management method includes: determining whether charging power compression control is executed in a battery (130) during charging (S22 and S23); and when it is determined that charging power compression control is executed in the battery during charging (S22 and S23: Yes), performing a process for compensating for a reduction in charging power caused by the charging power compression control (S24 and S25).

A rig power management system may identify a power demand for drilling equipment of a drilling rig performing an operation at a wellbore. A rig power management system may provide the power demand to the drilling rig with an operating profile. The operating profile includes a combination of at least one generator of a plurality of generators and stored energy capacity of an energy storage system. A rig power management system may generate a predicted operating profile different from the operating profile using a drill plan for a wellbore. The drill plan includes a planned operation, the planned operation including operating parameters for the drilling equipment to perform the planned operation. A rig power management system may implement the predicted operating profile before starting the planned operation or at a start of the planned operation.

The invention discloses an unmanned aerial vehicle multi-channel power management system, and relates to the field of unmanned aerial vehicles. A power input module is used for connecting an unmanned aerial vehicle battery pack and realizing battery access protection; the battery state monitoring module is connected with the power supply input module and is used for acquiring SOC (state of charge), SOH (state of health), voltage and temperature parameters of the battery in real time; the multi-channel power distribution unit comprises at least two sensitive load channels, at least two power load channels and at least one task load channel which are respectively used for supplying power to an unmanned aerial vehicle flight control system, a sensor, a motor, an electronic speed controller and task equipment; according to the method, multiple parameters are fused through the Kalman filtering algorithm, the SOC detection precision error is smaller than or equal to 3%, compared with a traditional ampere-hour integral method (the error is 8-10%), the endurance prediction accuracy is improved by 60% or above, the battery state monitoring precision is remarkably improved, and the air crash risk caused by electric quantity misjudgment is effectively avoided.