560 results about "Current cycle" patented technology

The invention discloses a response control method for a charging station participating in a low-voltage treatment scene, and the method comprises the following steps: S1, collecting the voltage data of a charging pile, calculating a deviation, and judging a low-voltage grade; s2, when the deviation is in a light interval, outputting reactive power support voltage in proportion; s3, when the deviation exceeds a heavy threshold value, reducing active power and starting V2G feedback; s4, constructing a graph structure model, and extracting inter-node power coupling and user behavior factors; s5, inputting the model into an improved prediction controller, predicting a future voltage state, and optimizing and outputting a current period power control value; s6, power adjustment is executed, and feedback power is slowly output in the V2G stage; and S7, comparing the control deviation with the behavior factor change, updating the node control priority, and feeding back for rolling optimization of the next period. According to the invention, while the charging regulation and control precision is improved, the user experience and the voltage stability are effectively considered, and the method is suitable for various low-voltage treatment scenes.

The invention provides a photovoltaic energy storage inverter power coordination control method based on an adaptive algorithm, and relates to the technical field of data processing, and the method comprises the steps: collecting the output power data of a photovoltaic module, the state data of an energy storage device, and the load demand data of a grid connection point, and carrying out the normalization processing of the data; calculating to obtain an initial power distribution parameter of the current period; respectively calculating a load change trend factor and a power fluctuation trend factor based on the load demand data and the output power data of the historical period, and coupling the load change trend factor and the power fluctuation trend factor to form a trend coupling factor; carrying out self-adaptive repair through a trend coupling factor; combining real-time grid-connected point load demand data with energy storage device state data to generate a target power distribution instruction and an energy storage charging and discharging adjustment instruction, and respectively issuing the instructions to an inverter control unit and an energy storage device control unit; according to the invention, the accuracy of the photovoltaic energy storage inverter power coordination control method is improved.

The invention discloses a motor control method and device, electronic equipment and a storage medium. The method comprises the following steps: acquiring a three-phase current, converting the three-phase current into a total current of a current period in a static coordinate system, and extracting a high-frequency current of the current period from the total current; extracting a rotor position and a rotor rotating speed from the high-frequency current; compensating the rotor rotating speed by using the expected rotating speed to obtain a quadrature-axis expected current; converting the total current into a quadrature-direct axis coordinate system, extracting a fundamental frequency current from the quadrature-direct axis coordinate system, compensating the fundamental frequency current by using a quadrature axis expected current and a direct axis bias current to obtain a first expected voltage, superposing the first expected voltage and a direct axis high-frequency voltage, and performing coordinate system conversion on a superposition result by using a rotor position to obtain a second expected voltage; obtaining a second expected voltage under the static coordinate system; and the three-phase current of the current period is controlled according to the second expected voltage to drive the motor, so that the motor has more obvious salient polarity through the direct-axis bias current, and vector control over the electrode is achieved.

The invention discloses a multi-pump operation liquid cooling system and a pump switching method, and the pump switching method comprises the steps: obtaining the real-time working information of each circulating pump, including the real-time gear information, the real-time operation duration, the real-time step frequency and the current cycle period count; determining a gear coefficient based on the real-time gear information, and obtaining a step correction coefficient; on the basis of the gear coefficient, the real-time operation duration, the step correction coefficient and the real-time step frequency, the accumulated loss value of each circulating pump is determined; an accumulated threshold value is obtained, the accumulated loss value of each circulating pump is compared with a preset accumulated threshold value, and a circulating pump switching instruction is generated according to a comparison result; according to the pump switching method, the operation parameters of the circulating pump are monitored in real time to calculate the accumulated loss value, the service life loss can be accurately evaluated, the service life balance of the pump set is achieved, the service life asymmetry caused by timing switching is avoided, the overall service life is prolonged, the switching of the circulating pump better fits the actual operation condition, and the adaptability and efficiency of the liquid cooling system are improved.

The invention relates to a method for predicting the residual life of a power battery, and belongs to the technical field of batteries, and the method comprises the steps: carrying out the fusion of historical data and real-time data of a target power battery, and obtaining fusion data; obtaining an initial humidity coefficient and an initial charge-discharge rate coefficient based on humidity fluctuation in the fusion data and the real-time data; introducing the temperature difference of the target power battery at the current cycle index into a first relation to determine an initial temperature coefficient; obtaining the predicted loss capacity and the actual capacity of the target power battery in the current cycle index; and predicting the residual life of the target power battery in the next cycle index based on the initial humidity coefficient, the initial charge-discharge rate coefficient, the initial temperature coefficient, the predicted loss capacity, the actual capacity, the humidity fluctuation and the charge-discharge rate. According to the method, the temperature, humidity and charge-discharge rate of the target power battery are used as influence factors of the battery life for calculation, so that the accuracy of predicting the residual life of the battery is improved.

The invention discloses a self-adaptive adjustment method and system for the die-casting temperature of a die-casting die, and relates to the field of die-casting temperature adjustment, and the method comprises the steps: synchronously obtaining a real-time temperature data flow and a real-time control output flow of the die-casting die, and constructing a time sequence data model capable of representing the internal thermal dynamic characteristics of the die-casting die; on the basis, a depth time sequence prediction model is introduced, and the future temperature response track of the system is accurately deduced. Furthermore, process targets such as a temperature set value are fused, and a model predictive control framework is utilized to carry out prospective rolling optimization on future multi-step control output so as to solve an optimal control instruction sequence. And finally, taking the first instruction of the sequence as the actual control output of the current period. Therefore, the advanced and accurate output of the controlled quantity can be realized, and the thermal hysteresis effect is effectively overcome, so that the high-precision and high-stability self-adaptive adjustment of the die-casting temperature is realized.

The invention discloses a phase current reconstruction method for high-modulation-ratio three-resistance sampling of a permanent magnet synchronous motor. The phase current reconstruction method comprises the following steps: S1, obtaining a preliminary sampling frame; s2, generating boundary input data; s3, initializing a rule weight parameter set; s4, obtaining a weighted candidate current interval set; s5, performing cross check on the weighted candidate current interval set and the output of the comparator array, eliminating inference branches which do not conform to the polarity and amplitude limit of hardware, obtaining a candidate current interval set subjected to boundary reduction, and fusing the candidate current interval set with a reconstructed three-phase current vector of a previous pulse width modulation period to generate a reconstructed three-phase current vector of a current period; and S6, periodically and circularly executing the steps S1 to S5, and completing real-time closed-loop control of the phase current reconstruction method for high-modulation-ratio three-resistance sampling of the permanent magnet synchronous motor after the error of the reconstructed three-phase current vector is continuously kept to be smaller than a preset value under the high-modulation-ratio driving condition. According to the invention, steady-state fitting in the current estimation process is realized, and abrupt change points are prevented from generating abnormal output.

The invention discloses a position-free sensing method for a joint module based on rotating speed estimation and virtual Z correction. The method comprises the following steps: firstly, acquiring three-phase current of a permanent magnet motor for a joint module, and acquiring d-axis estimated current of a current period based on a d-axis current model in combination with a state quantity of the permanent magnet motor in a previous control period; based on the d-axis estimated current, constructing a rotating speed estimator taking the d-axis estimated current error as a sliding mode surface to obtain the estimated rotating speed of the motor rotor; integrating the estimated rotating speed, and combining with the initial position of the rotor to obtain the estimated position of the motor rotor in the current period; at the same time, at the zero crossing point of the stator phase current, the estimation position is forcibly corrected to a predetermined electrical angle corresponding to the zero crossing point so as to eliminate the integral error. The invention aims to directly estimate the rotating speed without depending on any intermediate signal, and simulate the correction mechanism of a mechanical sensor to eliminate the estimation error, thereby realizing high-performance noise-free full-speed-domain position-free sensing control.

The invention relates to a method for calculating matrix multiplication, an artificial intelligence chip, a calculation device, a medium and a program product. The method comprises the following steps of: accumulating a calculation result of a current cycle calculation and a calculation result of a previous cycle calculation of matrix multiplication executed in a thread bundle group granularity by utilizing a buffer which is configured in a calculation core and is used for accumulation operation; determining whether the last cycle calculation of the matrix multiplication performed at the thread bundle group granularity is completed; and in response to determining that the last cycle computation of the matrix multiplication performed at the thread bundle group granularity is completed, writing the computation results accumulated via the buffer to the register file. According to the invention, the write bandwidth of the register and the occupation of the register space can be obviously reduced.

The application provides an air conditioner control method and system based on carrierless communication, and a storage medium. The method comprises the following steps: after the air conditioner is powered on, when it is detected that the intelligent control running time reaches two cycles, the user usage habit self-learning is entered, so as to intelligently control the air conditioner based on the self-learning result; whether the intelligent control running time reaches one cycle is detected in real time, if yes, the parameter correction is performed according to the user usage habit of the previous cycle, so as to obtain a new user usage habit, and intelligently control the air conditioner based on the new user usage habit; otherwise, the air conditioner is intelligently controlled based on the user usage habit of the current cycle; whether the current user usage habit meets the preset requirement is judged every preset cycle, so as to correct the control parameter corresponding to the user usage habit according to the judgment result. The application can continuously update the parameter according to the change of the user usage habit, and is more intelligent.

The invention discloses an air conditioner, a control method thereof and a computer storage medium. The control method of the air conditioner comprises the steps that environment parameters in a working space when the last cycle of operation of the air conditioner is finished are obtained; according to the environment parameters in the working space, the operation duration of the air conditioner in the period is determined; acquiring operation parameters of the air conditioner in the period; and the air conditioner is controlled to operate according to the operation parameters of the period until the operation duration of the period is reached. According to the method, the running duration of each running cycle is matched with the current environment, the air conditioner equipment runs according to the running cycle designed in this way, the purpose of rapidly adjusting air can be achieved, the running condition of over-reaching temperature or under-reaching temperature is avoided, and the running burden of an air conditioner server side can be relieved.

The invention relates to the technical field of transformer intelligent optimization compensation, in particular to an electric energy quality compensation method and equipment for new energy access to a power grid, and the method comprises the steps: connecting a dynamic voltage compensation converter in series at the low-voltage side of a transformer, and connecting a high-power bidirectional converter in parallel at the load side of a terminal, acquiring the voltage of the low-voltage side of the transformer at each moment in each period, and recording the voltage as transformer voltage; acquiring load current and load voltage at each moment in each period of the load side of the terminal; determining the influence weight of harmonic disturbance, the influence weight of reactive power disturbance and the influence weight of voltage out-of-limit in each period; constructing a target function; and obtaining an optimal power factor, each harmonic current component and each transformer voltage in the current period by utilizing an intelligent optimization algorithm and combining the objective function, and respectively performing transformer voltage compensation, reactive compensation and harmonic current compensation on the current period. Therefore, the overall stability of electric energy quality is improved.

The invention relates to the technical field of power system scheduling and network security, in particular to a micro-time scale electric energy security scheduling method and system based on mimicry defense, and the mimicry defense controller randomly combines and generates m heterogeneous executors from an electric energy scheduling algorithm executor resource pool; the input module collects available power of a power generation source, load demand power and environment data in the current period, and distributes information to the heterogeneous execution body through the input agent module; each heterogeneous executor operates an electric energy scheduling algorithm to generate a scheduling scheme in a unified format and outputs the scheduling scheme; the arbiter module takes the isomerism degree as a weight and carries out arbiter on the output of the heterogeneous execution body one by one to form a consensus scheduling scheme; and when the survival time of the heterogeneous executive body expires, the mimicry defense controller generates a new heterogeneous executive body to replace the old executive body, and recalculates the isomerism degree. According to the invention, the anti-attack capability and the scheduling reliability of the micro-time scale electric energy scheduling system are obviously improved, and meanwhile, the quick response and the dynamic security are ensured.

The invention provides an FIFO (First In First Out) data reading method, device, system, equipment and medium, the method comprises the following steps: when a data reading request is triggered, calculating a read address according to a data reading address carried in the data reading request; the read address is used for representing a value when the read address register is about to be updated in the previous clock period; selecting target data from the next beat of data of the register file or the beat-to-write data through the multiplexer according to the beat-to-read address; the next beat of data of the register file refers to data stored in the register file in the next clock period; the current data are data which are currently written into a first-in first-out (FIFO) queue; and performing a beating operation on the target data through a register, and performing a reading operation through a data reading interface of the FIFO queue. According to the scheme, the overall delay of data reading is reduced, the running speed and performance of the whole system are improved, and then the running speed of a chip is increased.

The invention provides a communication method and system of power electronic equipment, electronic equipment and a storage medium. The method comprises the following steps: a master controller sends a data frame of a current period to a recently connectable slave controller; the slave controller receives a data frame sent by the master controller or a previous connectable slave controller in the current period, writes a current state parameter of the corresponding power electronic equipment into the data frame, and sends the written data frame to a next connectable slave controller or the master controller; when any slave controller detects that a fault occurs, the fault slave controller sends a fault frame to the master controller; the master controller responds to the fault frame and sends an isolation instruction to a target slave controller according to the fault frame; the target slave controller responds to the isolation instruction, communication between the target slave controller and the fault slave controller is isolated based on the standby network cable, and the fault slave controller is determined to be a slave controller which cannot be communicated. According to the invention, the real-time performance and stability of an electronic power equipment communication system can be improved.

The invention provides a failure oscillation interval determination method, a temperature control method and related equipment, and the method comprises the steps: setting the width of a failure oscillation interval as the ith width at an ith test stage, obtaining the current chip temperature of a processor according to a preset period interval, and executing an error integral temperature control strategy to obtain a current frequency point corresponding to the current chip temperature, taking the current frequency point as an operation frequency point of the processor in the current period; monitoring whether the current chip temperature exceeds the target temperature or not in the ith test stage; if not, determining the target width of the failure oscillation interval according to the ith width, and further determining the lower limit of the failure oscillation interval. By formulating the failure oscillation interval when the error integral temperature control strategy is executed, when the chip temperature is in the failure oscillation interval, the updating of the integral error is stopped, so that the adjustment amplitude of the temperature is changed, the chip temperature is prevented from oscillating up and down near the target temperature, or the oscillation amplitude is reduced.

The invention provides a transaction data processing method and device, electronic equipment and a storage medium. The method comprises the following steps: acquiring the market information of an electric power spot market in a current period, declaration strategies of a plurality of users and execution return in a previous period; performing priority ranking on the users based on the strategy and the market information to obtain a ranked user sequence; obtaining a target order of the user based on a standard price determined by the market information and the strategy, a price change step length and a transaction electric quantity in the strategy and the user sequence; carrying out comparison processing on the target order and the hung order executing the return to obtain a comparison result; and generating an order execution operation in the current period based on the comparison result, the target order and the hung order. According to the method, aggregation and account-level concurrency control in a period can be realized, so that stable throughput and low jitter can be kept under multiple parallel users, and high concurrency stability in a transaction data processing process is improved.

The invention provides a low-power-consumption SOC optimization method and system. The method comprises the following steps: periodically sampling interface states of a plurality of interfaces; periodically determining a joint weight, wherein the joint weight is used for indicating the relevance among the interfaces; determining the relevance between the interfaces and the behaviors based on the corresponding relation between the interface states of the plurality of historical interfaces and the actual behaviors; determining a prediction behavior of the current period based on the relevance between the interface and the behavior, the interface state of the current period and the joint weight of the current period; and determining a target clock domain and a target power supply domain based on the prediction behavior of the current period, the first corresponding relation and the second corresponding relation, and triggering a control strategy of a power supply and a clock based on the target clock domain and the target power supply domain. Under different working modes, power supply, clock and data storage strategies of multiple modules are dynamically coordinated, system-level power consumption optimization is achieved, and meanwhile rapid wakeup and data integrity are ensured.

A method, apparatus, medium and electronic device for identifying degradation degree of battery. The method includes: acquiring battery data corresponding to a current cycle count, wherein the battery data comprise battery capacities and battery voltages of the battery; acquiring, based on the battery capacities and the battery voltages, capacity differences corresponding to the battery voltages; acquiring, based on the battery voltages and the capacity differences, a surge set of the capacity differences and a voltage set corresponding to the surge set; and identifying a degree of the battery degradation based on the surge set and the voltage set, to obtain an identification result related to the current cycle count. The method can identify the degree of battery degradation without applying other specialized testing equipment, thereby reducing the cost of identifying the degree of degradation, thereby simplifying the process.

The invention relates to the technical field of electric energy error monitoring, in particular to an intelligent measuring switch with an electric energy error monitoring function. The switch comprises a data acquisition unit which is used for acquiring a voltage sequence in a current period and theoretical voltage at each moment; the reference weight acquisition unit is used for acquiring the abnormal degree and the reference weight of each real-time voltage; the stability coefficient obtaining module is used for determining an initial window and obtaining a stability coefficient corresponding to the window based on the real-time voltage in the window; the window sliding module is used for starting to slide in the voltage sequence by utilizing the initial window, updating the window before each time of sliding based on the stability coefficient, and acquiring real-time voltage in the window when each time of updating is not slid; and the error monitoring module is used for acquiring the real voltage at each moment by using the real-time voltage in the window when the updating window does not slide, the reference weight of the real-time voltage and the constructed sensor error model. The accuracy of electric energy error monitoring can be improved.

Disclosed techniques relate to next fetch predictor circuitry configured to operate in conjunction with a trace cache. The trace cache circuitry may identify and store traces of instructions based on predicted directions of one or more control transfer instructions. Trace next fetch predictor circuitry may predict a next fetch address based on a current fetch address for a current cycle, which may include predicting a next fetch address following execution of a first trace stored in the trace cache circuitry. The first trace may include multiple fetch groups and multiple control transfer instructions. Arbitration circuitry may select from among multiple predictors and the trace next fetch predictor may have priority in response to a trace cache hit. Disclosed techniques may advantageously improve overall fetch bandwidth in the context of trace cache hits.

The invention discloses a server fan control method and electronic equipment, and relates to the technical field of data processing, and the server fan control method comprises the steps that a first temperature value of an air outlet of a fan unit of a server and a second temperature value of a radiator of a processor of the server in a current period are collected; determining a mode switching threshold value of the fan unit; calculating a temperature difference value between the first temperature value and a preset target temperature; whether the temperature difference value is larger than a mode switching threshold value or not is judged; if the temperature difference value is larger than the mode switching threshold value, the fan control circuit is controlled to drive the fan unit to operate according to the full-speed operation mode; if the temperature difference value is smaller than or equal to the mode switching threshold value, the pulse width modulation duty ratio of a control circuit of the fan unit is determined according to the second temperature value; and according to the pulse width modulation duty ratio, the fan control circuit is controlled to drive the fan unit to operate according to the regulation and control mode, so that the method is suitable for different server operation scenes, frequent start and stop of the fan are avoided, and the service life of the fan is prolonged.

The invention relates to the technical field of motor control, in particular to a speed stabilization control method and system for a hybrid power range extender, and the method comprises the steps: obtaining the operation disturbance of an HEV, training an echo state network to learn a time sequence dynamic state, enabling the disturbance to be engine crankshaft torque fluctuation, sampling into a historical sequence according to a control period, and enabling the network to comprise an input layer, a reservoir layer and an output layer; the reservoir is provided with a nonlinear recursive unit of leakage integral, and multi-step prediction is output; the relative angular displacement and relative angular velocity of an engine crankshaft and a planet carrier, the angular velocity of a second motor and the current engine torque are obtained at the control moment; driving the network multi-step look-ahead by using the current disturbance and the historical sequence, covering a control and prediction time domain, and forming a time margin not less than calculation and execution lagging; discrete state space prediction control is constructed based on the disturbance sequence, input and output constraints are applied, and a current state is used as an initial value for extrapolation; an optimal motor torque sequence meeting constraints is obtained through real-time iterative quadratic programming in the current period, and feed-forward compensation and smooth compromise are achieved; and caching the next period segment and issuing the next period segment to an execution mechanism on time. According to the invention, the problem that the HEV power system is easy to cause insufficient compensation or overcompensation during compensation can be solved.

The invention relates to the technical field of output control, in particular to a constant power control method, device and equipment based on COT and a storage medium, according to the method, fixed turn-on time is combined with dynamic turn-off time adjustment, the conciseness of COT control is reserved, accurate control over output power is achieved, and the control efficiency is improved. The influence of interference factors such as battery voltage drop and load abrupt change on constant power output can be effectively counteracted; specifically, a multi-path output synchronous opening design is adopted, and unified turn-off time adjustment logic is combined, namely, the turn-off time of a (k + 1) th period is calculated according to the total duration of a target period, so that an asynchronous turn-off condition caused by parameter differences of all channels is avoided, and the voltage rise deviation generated by load changes of a later turn-off channel is reduced; real-time output voltage and load resistance are respectively sampled in one period, battery voltage fluctuation and load change are monitored in real time, and error accumulation caused by the fact that a measured value in the current period is extended to the next period to be adjusted is avoided.

The invention provides a fixed-frequency inductive-current-sensor-free four-switch buck-boost soft switching control method, which comprises the following steps of: generating a regulating variable based on a deviation between an output voltage and a reference value, and determining a time sequence parameter of each stage of the period; charging and discharging in opposite directions are carried out on output junction capacitors of two switch elements of the same bridge arm by utilizing inductive current in a commutation dead zone; when it is detected that the duration of the free circulation stage of the current period does not exceed a preset lower limit, adjusting the time sequence of at least one stage to execute power expansion under a fixed switching frequency, and meanwhile, keeping on under a zero voltage condition; identifying a bias component of the inductive current based on indirect characterization of the output current to the inductive current, and performing correction by adjusting a timing sequence of at least one stage; and combining the outputs of the time sequence generation, the power expansion and the offset correction obtained in the previous steps into a time sequence parameter of the current period. According to the method, the microgrid conversion requirements of a wide voltage adaptation scene on high efficiency, high power density and high robustness are effectively met.

The invention discloses an electric energy meter operation state intelligent diagnosis method and system, and relates to the technical field of electric energy metering abnormity identification, and the method comprises the steps: deploying an edge diagnosis unit at a low-voltage power distribution terminal, connecting the edge diagnosis unit with an electric energy meter, collecting the operation data of the electric energy meter in real time, defining an operation stability reference window, and constructing a dynamic abnormity triggering mechanism; when a dynamic abnormity triggering condition in the dynamic abnormity triggering mechanism is met, electric energy meter operation data in a current period are collected, and multi-dimensional state sensing factors including a metering consistency factor, an electric energy response aging factor, a communication stability factor and an equipment behavior deviation factor are constructed; and constructing an integrated recognition and classification model based on the multi-dimensional state sensing factors to perform abnormal mode classification, and constructing a multi-level response mechanism according to an abnormal mode classification result. According to the method, real-time identification and classified response of the abnormal state of the electric energy meter are realized, and the accuracy of fault detection and the response closed loop efficiency are improved.

The embodiment of the invention provides a self-adaptive hydraulic compaction control method, device and system, and the method comprises the steps: collecting pressure data and corresponding time data in a current period when target equipment executes a hydraulic action in the current period; constructing initial pressure curve characteristic data based on the pressure data in the current period and the corresponding time data; comparing the initial pressure curve characteristic data with historical pressure curve characteristic data, and determining working condition data of the target equipment in the current period; and on the basis of the working condition data, regulating and controlling hydraulic parameters of the target equipment in the current period by writing a specification abstract and a background technology. Through the steps of the method, on the premise of not depending on a position sensor, the state change of the hydraulic equipment under different load working conditions can be sensed in real time, intelligent optimization control over hydraulic reversing parameters is achieved, the accuracy of reversing opportunity judgment and the adaptability of the system are improved, the action in-place performance and energy consumption control are effectively balanced, and the working efficiency is improved. And a continuous learning capability is possessed.

The invention relates to a user side electricity utilization carbon emission responsibility accounting method based on a power grid supply-demand relationship. The method comprises the following steps: acquiring power supply power information and an operation state corresponding to each energy type of a power supply side and user electricity consumption information of a user side in a current period; based on the operation state corresponding to each energy type, determining an initial carbon emission responsibility transfer index corresponding to each energy type; determining a user side carbon responsibility factor corresponding to the current period based on the initial carbon emission responsibility transfer index and the power supply power information; the user side carbon responsibility factor represents the carbon emission responsibility which should be undertaken when the power grid user side uses one kilowatt-hour electricity in the current period; and determining user side carbon emission responsibility data according to the user side carbon responsibility factor and the user electricity consumption information. The method can improve the rationality of the power consumer side carbon responsibility accounting, and promotes the power consumer to participate in the real-time adjustment of the supply and demand balance of the power system.

The application provides a timing control method and device, electronic equipment and storage medium. The method comprises: obtaining an actual task execution duration of a time level task in a current period during execution of the time level task according to a task execution frequency corresponding to each time level; the task execution frequency corresponding to each time level is dynamically adjusted according to a system running state; if a value corresponding to the actual task execution duration is greater than a value corresponding to the task execution frequency, adjusting a sleep duration of a future period according to a value relationship between the actual task execution duration and the task execution frequency; and executing the time level task based on the adjusted sleep duration of the future period. The application can effectively reduce the controller load and improve the control accuracy and stability by dynamically adjusting the task execution frequency of each time level and the time compensation mechanism.

The invention relates to the technical field of charging pile charging control, in particular to a flexible charging regulation and control system and method for a charging pile, and the method comprises the steps: obtaining real-time service parameters of the charging pile; calculating a stress accumulation item and a stress dissipation item; the equivalent lithium ion concentration stress of the current period is obtained through updating in combination with the stress accumulation item and the stress dissipation item; calculating a stress suppression item; generating a correction function; generating a dynamic current limit value by combining the stress suppression item, the correction function and a preset reference maximum allowable current; resolving a request current based on the power grid power instruction and the battery terminal voltage; generating a scheduling feasibility index in combination with the request current and the dynamic current limit value; according to the scheduling feasibility index, hierarchical power correction is executed, and actual issuing power is output; according to the invention, the operation safety of the battery is greatly improved, and the overall value of battery assets is greatly prolonged.