688 results about "Current cycle" patented technology

The invention relates to the technical field of computers, and provides a game acceleration method, a game accelerator and a storage medium. The method comprises the following steps: in response to a game acceleration request initiated by a game client for an external service game, sending a network state detection packet set to an acceleration node group according to a preset detection period, and receiving a network state data packet set fed back by the acceleration node group; determining a current cycle packet loss rate and a next cycle packet loss rate corresponding to each acceleration node based on the network state detection packet set and the network state data packet set; determining a target transmission path and a target transmission mode based on the packet loss rate of the current period and the packet loss rate of the next period; and transmitting the original game data packet to a target game server through the target transmission path and the target transmission mode to complete game acceleration. According to the method, the network delay and the packet loss rate when the game user plays the outer clothing game can be effectively reduced, so that the game experience of the user is improved.

The invention relates to the technical field of industrial park intelligent monitoring, and particularly discloses a data acquisition and monitoring control method based on an intelligent industrial park, which comprises the following steps: acquiring key state data of equipment in real time, including operation time, operation temperature and operation power; an advanced signal processing algorithm is used for calculating an operation temperature abnormal index and an operation power abnormal index, the system can comprehensively evaluate the state of equipment and accurately judge whether slight or serious abnormal conditions exist or not based on detailed data analysis results, and the system can not only give out instant early warning notifications but also give out alarm information according to the serious abnormal conditions. According to the method, a machine learning model is adopted to predict the future operation state of the equipment, the equipment state abnormal coefficient in each future monitoring period is predicted based on the equipment state data in the current period, and classification and dynamic regulation and control of the equipment state are carried out according to a preset threshold value.

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 discloses an electric bicycle health state evaluation method, system and device and a storage medium, and belongs to the field of lithium battery electric bicycles, and the method comprises the following steps: obtaining historical SOC data and current SOC data of an electric bicycle battery; calculating the current cycle index of the battery, and calculating the habitual charging depth of the user; obtaining the charging nominal capacity of the battery, and calculating to obtain a capacity attenuation empirical model; calculating a mean health state under the current cycle index; the current charging depth and the current charging capacity are calculated, whether the current charging depth meets the calibration condition or not is judged, and if yes, the average health state is calibrated through the charging nominal capacity and the current charging capacity, and the current cycle number is corrected; and if the calibration condition is not met or the calibration is completed, outputting the average health state of the electric bicycle. According to the invention, the battery health state can be monitored in an electric bicycle scene, a user is helped to know the health degree of the battery, and the use safety of the battery is 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 relates to the technical field of computers, and discloses a fault alarm method and device, computer equipment and a storage medium, and the method comprises the steps: obtaining identification information and a starting dependency sequence of each service operated by a main node in a current period; obtaining the service state of each service according to the identification information of each service and the starting dependency sequence; when it is determined that the service state of the target service is abnormal or the service state of the target service is not obtained, a configuration file of the target service in the current period and a file content index value of the target service in a previous period corresponding to the current period are obtained according to the identification information of the target service, and the target service is any service; determining the fault type of the target service according to the configuration file of the target service in the current period and the file content index value of the target service in the previous period; and generating an alarm notification according to the identification information of the target service and the fault type, and sending the alarm notification to the client. According to the invention, the troubleshooting efficiency can be improved.

Disclosed herein are systems and methods for self-isolation of power-management integrated circuits (PMICs) of memory modules under and in response to fault conditions. In an embodiment, a PMIC is operably engaged with a memory module that is operably engaged with a platform. The memory module includes a non-volatile-memory block having a power supply controlled by the PMIC. The PMIC has a critical-fault signal pin that can be asserted to shut down the platform. The PMIC determines whether at least one critical fault occurred during a prior cycle, and also determines whether a critical fault occurs during a bootup sequence during a current cycle. Based on determining that a prior-cycle critical fault occurred and that a critical fault occurs during the bootup sequence, the PMIC sets a critical-fault indicator corresponding to the current critical fault; powers down the power supply; and does not assert the critical-fault signal pin.

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 relates to the technical field of power grid regulation and control, in particular to a power grid elastic balance planning regulation and control method based on supply and demand balance. Obtaining an electric energy fitting curve according to the electric energy characteristic sequence of the historical period; obtaining a change coefficient according to the electric energy difference characteristics of the electric energy fitting curve in adjacent time periods before and after the current adjustment moment; obtaining an electric energy estimated value according to the electric energy characteristic sequence and the change coefficient of the current period; obtaining a fitting change factor according to the electric energy change characteristics of the electric energy fitting curve before the current adjustment moment; obtaining an actual change factor according to the electric energy change characteristics of the electric energy characteristic sequence of the current period before the current adjustment moment; and obtaining a correction coefficient according to the fitting change factor and the actual change factor. The electric energy predicted value is obtained according to the correction coefficient and the electric energy estimated value; power supply matching is carried out according to the electric energy predicted values of the power generation area and the power utilization area, and the power grid supply-demand balance regulation accuracy is improved.

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 invention relates to a slitting deviation rectifying method, a slitting deviation rectifying device and a slitting deviation rectifying system for a battery pole piece. The slitting deviation rectifying method for the battery pole piece comprises the steps that slitting positioning is conducted on a plurality of corresponding frames of coated pole piece images after slitting according to deviation rectifying reference edges of the coated pole piece images before slitting, and the transverse distance of a slitting device in the current period is obtained; whether the transverse distance of the slitting device in the current period is abnormal or not is detected; if no abnormity exists, comprehensive deviation correction calculation is conducted on the front face expected position and the back face expected position of the slitting device and the transverse distance of the slitting device in the current period, the current comprehensive deviation correction amount is obtained, a deviation correction signal is sent to the slitting device according to the comprehensive deviation correction amount, and deviation correction is conducted on the slitting device; and finally, according to a feedback signal after the deviation correction of the slitting device is completed, slitting positioning is carried out again. The slitting deviation rectifying method for the battery pole piece has the advantages that material waste is remarkably reduced, and deviation rectifying accuracy is effectively improved.

The invention provides a zero-voltage starting control module, a driving circuit and an active clamping converter, and the module comprises a timing unit which carries out the timing of a first time length; the time length acquisition unit is used for acquiring the time length from the turn-off of the clamping tube to the complete release of the secondary inductive current of the transformer to obtain a second time length; the comparison unit is used for comparing the first duration with the second duration; and the dead time adjusting unit is used for adjusting the conduction time and the first duration of the clamping tube in the next period based on the comparison result of the current period so as to realize self-adaptive zero-voltage starting control. The circuit is realized by adopting a digital circuit, accurate control can be realized, the control range is relatively wide, zero-voltage conduction control is dynamically realized, the system efficiency is improved, the use of a capacitor in an analog circuit is reduced, and the area cost of a chip is reduced.

The invention discloses a heat dissipation control system of a server and the server, and relates to the technical field of server heat dissipation, and the heat dissipation control system comprises a main processing core, a co-processing core, a temperature sensor, a fan, a PWM controller and a target memory. When the main processing core is in a fault state, the co-processing core obtains a target duty ratio of a next period and writes the target duty ratio into the PWM controller based on a target operation mode of the current period of the server and temperature data of the current period read from the temperature sensor, and can also obtain a rotating speed of the current period based on a preset proportion and the PWM controller. According to the method, the problem that large noise and mechanical stress are generated due to the fact that a CPLD controls a fan at the maximum rotating speed under the condition that a main processing core breaks down in the prior art can be solved, on one hand, a multi-stage fault-tolerant mechanism can be achieved, and the heat dissipation reliability of a server is improved; and on the other hand, the rotating speed of the fan is intelligently and relatively smoothly adjusted, and relatively low noise and mechanical stress are generated.

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 present invention provides a deadtime adjustment method, an adaptive ZVS control method and a switching power supply. The deadtime adjustment method comprises: step 11), acquiring a first duration, collecting a second duration of the current period, and comparing the first duration with the second duration; step 12), if the first duration is greater than the second duration, reducing the on-time of a clamping transistor by a preset duration in the next period; if the first duration is smaller than the second duration, increasing the on-time of the clamping transistor by the preset duration in the next period; and if the first duration is equal to the second duration, maintaining the on-time of the clamping transistor in the next period; and step 13), returning to step 11) to sequentially adjust the deadtime between the clamping transistor in each period and a main switch. The present invention can accurately realize self-adaptive control in the deadtime full-load range between an upper clamping transistor and a main switching transistor, thereby achieving high safety, low loss of the main switching transistor, high system efficiency, and wide application range.

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 relates to the field of intelligent vehicles, and provides a method and device for determining the endurance mileage of a hybrid vehicle. The method comprises the following steps: determining a current short-distance average energy consumption value, a current middle-distance average energy consumption value and a current long-distance average energy consumption value according to a current accumulated travel recorded until a current period; determining a distance average energy consumption value in the history according to the history accumulative travel recorded until the last period; determining an endurance mileage correction factor based on the basic average energy consumption value, the current middle distance average energy consumption value and the historical middle distance average energy consumption value; and based on the basic average energy consumption value, the current short-distance average energy consumption value, the current long-distance average energy consumption value and the endurance mileage correction factor, determining the current meter display endurance mileage of the hybrid vehicle, and displaying the current meter display endurance mileage. According to the method and the device, the accuracy of endurance value calculation can be improved, and the endurance difference caused by different working conditions in the driving process of the vehicle can be intuitively displayed to a user.

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.

The present invention discloses a current anomaly detection method, device, electronic device and storage medium, which relate to the field of motor control. The method obtains the real-time N-phase current of the N-phase motor in the current cycle, determines the reference current value corresponding to each phase of the N-phase motor in a preset coordinate system, and / or transforms the real-time N-phase current to the preset coordinate system to obtain each corresponding real-time current value; determines whether there is a current abnormal phase according to the sum of all real-time current values; if there is a current abnormal phase, locates the current abnormal phase and the current normal phase according to the difference between each corresponding reference current value and the real-time current value. It can be seen that the scheme can quickly and efficiently locate the specific phase of the current sampling abnormality, rather than just identifying the existence of the current abnormality, and solves the stability and reliability problems caused by single-phase current sampling abnormality in PMSM control.