1590 results about "Discharge current" patented technology

To enable accurate estimation of a degree of deterioration of a secondary battery with a metal lithium layer on an anode.SOLUTION: A battery deterioration estimation device comprises a current measurement part, a voltage measurement part, a calculation part, and an estimation part. The current measurement part measures a discharge current of a secondary battery at predetermined timing immediately after the start of discharge of the secondary battery. The voltage measurement part measures a drop voltage that is a difference between a voltage of the secondary battery before the start of discharge and a voltage of the secondary battery at the predetermined timing. The calculation part calculates an internal impedance of the secondary battery at the predetermined timing from the measured discharge current and the measured drop voltage. The estimation part estimates a degree of deterioration of the secondary battery from the calculated internal impedance.SELECTED DRAWING: Figure 1

The invention relates to the field of battery safety management, in particular to a battery pack safety management method and system based on an intelligent algorithm. A battery pack safety management system based on an intelligent algorithm comprises a battery pack parameter monitoring module, a weight calculation module and a fault prediction module. According to the method, key parameters such as the single voltage, the total voltage, the charging and discharging current and the cell surface temperature are acquired in real time, the dynamic threshold values of the total voltage, the charging and discharging current and the charge state are calculated respectively, judgment is performed in combination with the preset fixed threshold value, abnormal conditions in the running process of the battery pack can be found in time, and corresponding abnormal response measures are executed; comprehensive real-time monitoring and dynamic threshold judgment of the parameters of the battery pack are achieved, the safety and reliability of the battery pack are effectively improved, and safety accidents caused by abnormal parameters are prevented.

The invention relates to the technical field of battery packs, and discloses a battery pack intelligent pairing and integrated optimization method, system and device and a storage medium. The method comprises the following steps: performing parameter acquisition and orthogonal feature extraction on single batteries in a battery pack to obtain a battery pack orthogonal parameter characteristic matrix; performing feature deep learning to obtain a battery pack pairing prediction model; a battery attribute similarity graph and a battery pack topological graph are constructed, and a battery pack intelligent pairing structure is obtained through double-graph structure alignment operation; executing parallel multi-population particle swarm optimization calculation to obtain a battery pack optimization pairing scheme; inputting a hierarchical model prediction controller to carry out energy storage boundary analysis to obtain an upper-layer power distribution parameter and a lower-layer charging and discharging current parameter; and closed-loop control operation is carried out based on the upper-layer power distribution parameters and the lower-layer charging and discharging current parameters to obtain battery pack pairing control optimization parameters, and real-time monitoring and dynamic adjustment of the battery pack performance parameters are achieved.

The invention discloses a power-on reset circuit, and relates to the technical field of integrated circuits, in order to eliminate static power consumption of the power-on reset circuit and reduce power consumption of the power-on reset circuit, the power-on reset circuit comprises a discharge delay circuit, a current mirror circuit and a buffer circuit; the discharge delay circuit comprises a capacitor and an NMOS (N-channel Metal Oxide Semiconductor) tube M4, and the NMOS tube M4 is used for discharging the capacitor; the current mirror image circuit comprises an NMOS tube M2, an NMOS tube M3 and a PMOS tube M9. The grid electrode of the NMOS tube M2 and the grid electrode of the PMOS tube M9 are respectively connected with the output end of the buffer circuit; the grid electrode of the NMOS tube M3 is respectively connected with the source electrode of the PMOS tube M9, the drain electrode of the NMOS tube M2 and the grid electrode of the NMOS tube M4; the current mirror image circuit is used for turning off the NMOS tube M2 after the reset signal is ended, and pulling up the drain electrode voltage of the NMOS tube M3 to the power supply voltage through the PMOS tube M9, so that the NMOS tube M3 enters a deep linear region, and a direct current path from the power supply to the ground in the current mirror image circuit is cut off; and the buffer circuit is used for outputting a reset signal according to the voltage change of the capacitor in the discharge delay circuit.

A power tool system includes a power tool, a sensor, and an electronic controller of the power tool. The power tool includes a power tool housing, a motor housed within the power tool housing, and a pack interface coupled to the power tool housing. The pack interface receives a power tool battery pack having a corresponding tool interface. The sensor senses an electrical parameter corresponding to a power tool battery pack coupled to the pack interface. The electronic controller of the power tool controls the power tool battery pack to discharge current; receives an output of the sensor when the power tool battery pack is controlled to discharge current; generates a temperature estimate by processing the output of the sensor using a thermal model stored on the memory; and generates a temperature warning signal in response to the temperature estimate exceeding a temperature threshold.

The invention discloses a lithium battery life prediction method and device based on data analysis. The method comprises the following steps: acquiring charging current, discharging current, battery voltage and timestamps of recorded data of each complete charging and discharging cycle; performing data analysis according to the charging current, the discharging current and the timestamp, and constructing a charging and discharging current sequence; performing voltage fluctuation amplitude analysis according to the timestamp, the charging and discharging current sequence and the battery voltage to obtain a voltage jump characteristic; performing fluctuation characteristic analysis according to the voltage abrupt change characteristic to obtain a voltage fluctuation characteristic; performing correlation analysis according to the charging and discharging current sequence to obtain an optimal charging and discharging current sequence; calculating a voltage attenuation factor according to the voltage fluctuation characteristics and the optimal charging and discharging current sequence; and according to the optimal charging and discharging current sequence and the voltage attenuation factor, constructing a life prediction model, and according to the life prediction model, calculating the residual cycle index, the future battery voltage and the battery life. The method can accurately predict the service life of the lithium battery.

The embodiment of the invention provides a preparation method of a negative electrode active material, the negative electrode active material, a battery and equipment. Fluorine-containing gas is used as discharge gas, and discharge current is introduced into a plasma treatment device in the process of performing vibration dispersion treatment on a porous carbon substrate through the plasma treatment device; the fluorine-containing gas is used for carrying out plasma discharge treatment on the porous carbon matrix, so that the fluorine element provided by the fluorine-containing gas can react with carbon atoms on the surface of the porous carbon matrix to form chemical bonding, and the chemical bonding uniformity between the fluorine element and the carbon atoms on the surface of the porous carbon matrix can be improved; and the preparation cost of the negative electrode active material can be reduced, and the preparation efficiency of the negative electrode active material is improved, so that the battery capacity and the cycle performance of a secondary battery prepared from the negative electrode active material disclosed by the embodiment of the invention can be improved.

Systems and methods are described for managing charging and discharging of battery packs. In one or more aspects, a system and method are provided to minimize overcharging of battery cells of specific battery chemistries while still enabling fast charging cycles. In other aspects, a buck converter may be used to reduce a voltage of power used to charge the cells. In further aspects, a fast overcurrent protection circuit is described to address situations involving internal short circuits of a battery cell or battery pack. In yet further aspects, a bypass circuit is provided in series-connected battery packs to improve the charging of undercharged battery packs while also increasing the efficiency of the overall charging process. In other aspects, a circuit is provided that permits a controller to determine a configuration of battery packs. In yet further aspects, a system may determine a discharge current for a collection of battery packs based on each battery pack's state of health (SOH) and forward that determination to an external device.

The invention relates to the technical field of vehicles, in particular to a power battery residual energy determination method and device, a vehicle and a storage medium, and the method comprises the steps: obtaining the battery rated capacity of the vehicle, the battery discharge current average value in a first preset time range, and the battery charge state, the battery health state and the battery temperature at the current moment; determining a corresponding correction coefficient according to the battery health state, the battery temperature and the battery discharge current average value; correcting the rated capacity of the battery according to the correction coefficient to obtain a corrected value of the rated capacity of the battery; and calculating the residual energy of the power battery according to the battery rated capacity correction value and the battery charge state. The residual energy of the power battery can be accurately estimated, and data reference is provided for safe operation of a vehicle.

The invention discloses a direct current charging and discharging control system and method, and relates to the technical field of battery charging and discharging, and the system comprises the steps: monitoring the input and output voltage and current, the battery state parameters and the environment temperature in real time; judging whether the charging and discharging control mode is a charging mode, a discharging mode or a mixed mode according to the analysis result; if the charging mode is determined, the charging current is dynamically adjusted based on a self-adaptive closed-loop control unit; if a discharging mode is determined, dynamically distributing a discharging current based on a load grading strategy and the residual electric quantity of the battery; and if it is judged that the mode is the mixed mode, charging and discharging parallel control is carried out through the dynamic power distribution unit. The technical problems that in the prior art, a charging and discharging control strategy is single, complex and changeable working conditions cannot be adapted, and key parameters are difficult to accurately monitor in real time to achieve efficient battery management are solved, and the technical effects of improving the energy utilization efficiency and enhancing the equipment operation stability and reliability are achieved.

The invention discloses a method for maintaining DC equalization of a high-voltage cascade energy storage system by using grounding switch backflow, and the method comprises the steps: collecting the data of a battery cell in a battery cluster in real time through a battery management system, carrying out the statistics of the voltage and current data of a battery cluster end, and uploading the data to a system main controller for calculation; the system main controller judges the state of each phase when the current is balanced according to the current battery data statistical state of each phase, and controls the on-off state of the MOSFET in each power module in the corresponding state; after the total charging or discharging current of each phase of battery cluster is determined, the cluster controller of each battery cluster controls the duty ratio of the MOSFET according to the current state of each battery PACK; and after the battery PACK receives the duty ratio parameter issued by the cluster controller, the output waveform of the MOSFET is modulated, and finally multi-level current equalization is realized. According to the invention, the duty ratio of the power module is controlled by applying a strategy, and the magnitude of equalization current between PACKs is controlled, so that multi-stage SOC equalization of the PACKs, clusters, bridge arms and phases is realized.

The invention discloses a discharge current pulse width inversion method based on an electromagnetic wave signal, and relates to the field of pulse current characteristic inversion, and the method comprises the steps: S1, building a simulation model of partial discharge in a gas insulated switchgear (GIS), carrying out the streamer simulation of the GIS, and obtaining a simulation model of partial discharge in the GIS; establishing a partial discharge excitation source model based on a signal obtained by streamer simulation; s2, an excitation source and four probes are arranged, timing is started when the excitation source radiates electromagnetic waves outwards, and voltage signal waveforms received by the probes are recorded; and S3, processing and analyzing the received signal to obtain the pulse width of the pulse current, and analyzing the inversion pulse current characteristics according to the pulse width of the pulse current. According to the measured pulse width, the definition and characteristics of the pulse current are combined, and key parameters such as the amplitude and the frequency are analyzed, so that the dynamic characteristics of the pulse current can be known.

The invention discloses an efficient charging and discharging control method and system for a capacitive energy storage welding machine, and the method comprises the steps: the capacitive energy storage welding machine monitors the voltage, current and temperature of a capacitor in real time through a battery management system, and determines the system state and the environment temperature; in the direct current discharging mode, the system dynamically adjusts the charging and discharging rate through an inverter and a self-adaptive control algorithm, and voltage output is smoothed; in the indirect discharge mode, a welding transformer is adopted to reduce the voltage and accurately control the frequency and time of the inverter; the system automatically adjusts charging and discharging current and discharging time according to the thickness, speed and temperature of a welding material, and intelligently switches modes; a multi-safety protection mechanism ensures the safety of the welding process, and a power supply is automatically adjusted or cut off when abnormity occurs; according to the efficient charging and discharging control method and system for the capacitive energy storage welding machine, the safety of the welding-free transformer capacitive energy storage welding machine is improved, the phenomena of huge sound and metal splashing are reduced, meanwhile, the energy utilization efficiency is improved, the welding quality is improved, and the production efficiency is enhanced.

The invention discloses a multi-branch parallel battery pack discharge working condition circulation control method, device and equipment and a storage medium, and relates to the technical field of battery management, and the multi-branch parallel battery pack discharge working condition circulation control method comprises the following steps: detecting the state of charge of a multi-branch parallel battery pack, when the percentage of the residual electric quantity in the total capacity is smaller than a preset percentage, detecting the duration of the discharge working condition; when the duration of the discharge working condition is greater than a preset duration, determining a discharge current limit according to a discharge current difference value between branches, a maximum allowable discharge current, the lowest monomer voltage of the branch with the maximum discharge current, the current discharge power and the number of the branches; and when the duration of the discharge working condition is not greater than the preset duration, determining the discharge current limit according to the discharge current difference between the branches, the maximum allowable discharge current and the minimum monomer voltage of the branch with the maximum discharge current. The circulating current influence caused by the end of the discharge working condition can be reduced.

The invention discloses a method for monitoring the service life of a power battery, and the method comprises the steps: collecting the vehicle speed, acceleration, battery discharge current, temperature distribution and other data, combining the vehicle speed fluctuation and a power system load state, precisely dividing urban congestion, suburban medium-speed and high-speed cruise conditions, introducing a dynamic discharge depth factor, and obtaining the service life of the power battery. Factors such as battery charge state variation, a current root-mean-square value and the highest temperature of a battery cell are integrated, different temperature compensation coefficients are set according to a battery chemical system, the discharge depth is scientifically quantified, the proportion of the number of discharge events in each working condition depth is counted, and when the proportion exceeds a corresponding safety threshold value, graded alarm prompts are output. Different early warnings are given out according to the number of working conditions exceeding the threshold value, the peak discharge power of the battery is limited when red early warnings are given out, excessive loss of the battery is avoided, when the dynamic discharge depth factor is increased to exceed a certain amplitude, battery health emergency detection is directly triggered, potential problems are found in time, safe and stable operation of the battery is guaranteed, and the use safety of the vehicle is improved.

The invention provides a hoisting machinery amplitude variation process energy management method and system based on a supercapacitor, and relates to the technical field of energy management, and the method comprises the steps: calculating the theoretical energy demand of an amplitude variation process through a neural network prediction model, correcting a dynamic grouping coefficient to obtain a power distribution coefficient, and calculating the power distribution coefficient; and taking the result as the upper limit of the charging and discharging power of each group of super capacitors, and adjusting the charging and discharging current through a self-adaptive PI controller. When the amplitude variation angle is reduced, regenerative braking energy exceeding the rechargeable power of the super capacitor is stored in a high-temperature superconducting energy storage inductor, and the energy is charged into the super capacitor according to a power distribution coefficient when the condition is allowed; when the amplitude variation angle is increased, the output power ratio of the main power supply to each group of super capacitors is optimized by adopting a dynamic programming algorithm, and power cooperative control is realized through a sliding mode and an active-disturbance-rejection controller, so that the stability of the system voltage is ensured. The energy utilization efficiency can be effectively improved, the service life of the supercapacitor is prolonged, and the system stability is ensured.

The invention provides a battery charging rate determination method and device, electronic equipment and a storage medium. The method comprises the following steps: obtaining a self-discharge current of a battery in each cycle charging process; the self-discharging current is the self-discharging current collected in the constant-voltage charging process when the battery is charged at a first charging rate in each circulating charging process until the electric quantity parameter of the battery reaches a preset electric quantity parameter and the battery is continuously charged in a constant-voltage charging mode; the values of the first charging multiplying power of the battery are different in different cyclic charging processes; and determining the corresponding maximum charging rate of the battery under the preset electric quantity parameter based on the self-discharging current. According to the embodiment of the invention, the maximum charging rate of the battery is determined based on the self-discharging current, and the battery is guided to be charged through the maximum charging rate, so that metal deposition in the battery can be reduced, and the risk of side reaction can be reduced while the charging efficiency of the battery is improved.

A battery heating system includes: a temperature monitoring circuit configured to output a temperature monitoring signal; a voltage conversion circuit configured to receive a first voltage that is input by a power supply or a second voltage that is input by a to-be-heated battery; and a control circuit configured to receive the temperature monitoring signal and output a control signal. The voltage conversion circuit is configured to perform boosting processing or bucking processing on the first voltage based on the control signal or perform boosting processing or bucking processing on the second voltage based on the control signal to enable the to-be-heated battery to receive a charging current from the power supply in a first time segment using the voltage conversion circuit and the to-be-heated battery to output a discharging current to the power supply in a second time segment using the voltage conversion circuit.

The invention provides a method for evaluating the online health state of an electric vehicle lithium ion battery through a data fusion model, and relates to the technical field of lithium ion battery health state evaluation. A plurality of groups of voltage, discharge current and internal resistance data are collected under a specific working condition, respective average values are obtained through calculation, and then a voltage health factor, a current health factor and an internal resistance health factor are constructed by combining rated values with the average values and maximum and minimum values. On the basis of the health factors and variance data, on one hand, a comprehensive health index is obtained through a weighted average algorithm, a preset threshold value comparison result is assigned, on the other hand, a comprehensive scoring formula is constructed according to variance and threshold value comparison result assignment, and the lithium ion battery health state is comprehensively judged according to different result assignments; and outputting normal, sub-health and fault states.

The invention belongs to the technical field of battery temperature control, and provides a blade battery temperature control method and system based on a fuzzy neural network, and the method comprises the following steps: monitoring the temperature of a battery cell and a phase change material in real time, monitoring the charging and discharging current of a battery in real time through a current transformer, and obtaining current data; preprocessing the battery cell temperature data, the phase change material temperature data and the current data to obtain preprocessed data; the preprocessed data serve as input variables and are input into a fuzzy neural network for fuzzy processing, and a temperature adjusting instruction is generated according to the preset working temperature range of the blade battery; according to the temperature adjusting instruction, the temperature of the blade battery is adjusted, and the temperature change is monitored in real time; through the complex mapping capability of the fuzzy neural network, accurate control over the battery temperature is achieved, temperature fluctuation is reduced, the consistency of battery performance is improved, and the temperature control performance of the blade battery is improved.

The invention discloses a battery rate adjusting method and system based on joint calculation, and the method comprises the steps: collecting real-time operation parameters of a battery, the real-time operation parameters comprising a real-time current, a real-time voltage observation value, a first electrochemical impedance spectrum, a first temperature stress and a first cycle index; obtaining an SOH value based on the first electrochemical impedance spectrum, the first cycle index and the first temperature stress; estimating based on the SOH value and the real-time current to obtain a first SOC value; correcting the first SOC value based on the real-time voltage observation value to obtain a second SOC value; and determining a first charge-discharge rate according to the SOH value and the second SOC value, and controlling the charge-discharge current of the battery according to the first charge-discharge rate. According to the method, the problems that SOC estimation is not accurate, SOH evaluation lacks dynamics, and rate control is single are solved, and intelligent and self-adaptive adjustment of charge and discharge rates of the battery in different operation states is achieved.

The invention discloses an electric energy discharge control device. The energy storage circuit is used for storing potential storage electric energy; the bleeder circuit is used for releasing the potential storage electric energy through a bleeder resistor and a bleeder transistor which are connected in series; the reference voltage setting circuit is used for outputting a reference voltage signal; the bleeder sampling feedback circuit is used for outputting a bleeder sampling feedback electric signal according to the bleeder sampling current of the bleeder resistor; the post-stage voltage feedback circuit is used for outputting a post-stage voltage feedback electric signal according to the potential storage voltage; and the conduction degree of the discharge transistor is controlled according to the post-stage voltage feedback electric signal, the reference voltage signal and the discharge current collection feedback electric signal. The conduction degree of the bleeder transistor is dynamically controlled according to the bleeder current collection feedback electric signal and the post-stage voltage feedback electric signal, so that the change of potential storage electric energy of the energy storage device is dynamically adapted, the bleeder power and the current of the bleeder circuit are stable and controllable, and a higher bleeder rate can be realized under the condition that the bleeder power and the current are kept unchanged.

A short circuit identification method is provided for a sampling element of a battery management system. A temperature sensor is disposed in a battery management system to monitor a temperature of a discharge transistor, and the method includes: obtaining the temperature of the discharge transistor by using the temperature sensor, and calculating a temperature difference of the discharge transistor in a preset duration; comparing a discharge current obtained by using a sampling element with a preset current threshold; and determining that the sampling element is short-circuited. In embodiments of the present application, the temperature sensor is used to monitor the temperature change rate of the discharge transistor in the BMS system, it can be detected that only one sampling element has a short-circuit fault with reference to the discharge current obtained by the sampling element, and corresponding protection measures are taken, so that the BMS system runs safely and stably.

The invention provides a hysteresis coefficient calibration method for a battery, and the method comprises the following steps: discharging the battery from a first initial charge state to a first target charge state through a plurality of unequal discharge currents, and measuring the open-circuit voltage, corresponding to the first target charge state, of the battery after standing for a preset period of time; the measured open-circuit voltage is compared with a reference open-circuit voltage determined according to a reference OCV-SOC corresponding relation to determine a hysteresis coefficient, and the hysteresis coefficient represents the deviation degree of the OCV-SOC corresponding relation of the battery relative to the reference OCV-SOC corresponding relation caused by the hysteresis effect; and determining a corresponding relationship between the discharge currents and the hysteresis coefficients based on the plurality of discharge currents and the corresponding hysteresis coefficients. The present application also proposes a state of charge determination method for a battery, a computer program product, an electronic device, and a vehicle. According to the invention, the state of charge of the battery can be determined more accurately.

The invention discloses a battery OCV-SOC curve online reconstruction method and device, equipment and a medium, is applied to the technical field of battery management, and is used for solving the problem that an accurate OCV-SOC curve cannot be obtained in the prior art. The method specifically comprises the following steps: inputting obtained current voltage and current discharge current into a parameter identification model to obtain a target OCV value; determining a target feature interval according to the target OCV value; determining a target SOC value by adopting a correction method corresponding to the target feature interval; the correction method is a static correction method corresponding to a correction interval or a dynamic correction method corresponding to a non-correction interval; and performing curve reconstruction according to the target OCV value and the target SOC value to obtain a target OCV-SOC curve. Therefore, online updating of the OCV value is realized by setting the parameter identification model, correction of SOC values in different intervals is realized by using a static correction method and a dynamic correction method, and an accurate OCV-SOC curve can be obtained through reconstruction.

The invention provides a battery state-of-charge calibration method and system, a vehicle-mounted terminal and a storage medium, and the method comprises the steps: obtaining battery parameters which comprise a state parameter and a first change relation of voltage along with time under a preset discharge current after pulse heating, the state parameters comprise a health state, a first charge state before pulse heating and a temperature after pulse heating; matching a first characteristic parameter of the battery from a battery characteristic matrix according to the state parameter; fitting is carried out according to the first characteristic parameter and the discharge current, and a second change relation of the voltage along with time is determined; and calibrating the first charge state according to a first deviation between the second change relation and the first change relation, and determining a second charge state after pulse heating. According to the method, the battery characteristic parameters and the charge state are mapped according to the deviation between the theoretical voltage response and the actual voltage response after the pulse heating, the charge state calibration after the pulse heating of the battery is realized, and the accuracy of charge state estimation is improved.

The invention provides a storage battery starting capability prediction method and device, electronic equipment and a medium, and the method comprises the steps: obtaining the change data of the current and voltage of a storage battery when an engine is started this time; determining the moment corresponding to the maximum discharge current, the internal resistance of the starter at the moment and the internal resistance of the storage battery at the current increasing stage in the starting process of the engine based on the change data of the current and the voltage of the storage battery; and inputting the internal resistance of the storage battery and the internal resistance of the starter into a pre-constructed starting capability model to predict the starting voltage which can be provided by the storage battery when the engine is started next time. According to the invention, the prediction accuracy of the starting capability of the storage battery is improved.

After the temperature of a battery rises to a predetermined diagnosis temperature, a charge / discharge control unit controls a charge / discharge circuit to charge or discharge the battery. A current-voltage detection unit detects current and voltage of the battery during a period in which the battery is charged or discharged. A differential voltage calculation unit calculates a differential voltage of the battery on the basis of the detected current and voltage. A deterioration state estimation unit estimates a deterioration state of the battery on the basis of a change in the calculated differential voltage.

The present invention relates to a manipulator control device and a robot based on kinetic energy recovery. The manipulator control device includes a motor, a motor drive module, a controller and an energy storage device; the motor drive module is connected to a power source, and controls the rotation of the motor through a control signal sent by the controller; the energy storage device is connected to the motor drive module, and receives the reverse current transmitted from the motor through the motor drive module and stores electric energy when the motor decelerates; and / or releases the stored electric energy to output a discharge current when the motor accelerates, and the discharge current is transmitted to the motor through the motor drive module. The manipulator control device based on kinetic energy recovery of the present invention, by providing an energy storage device, stores energy when the motor decelerates and releases energy when the motor accelerates, which can not only reduce the heating of the motor and improve the safety of equipment operation, but also save energy and reduce costs.

The invention discloses a high-voltage direct-current line EM lightning arrester valve plate shunting non-uniformity test system and method, and belongs to the technical field of lightning arrester performance test.The method comprises the steps that S1, a high-voltage direct-current power transmission system simulation model is established, and the discharge current of an EM lightning arrester under the severe working condition of single-pole line short circuit is evaluated based on the high-voltage direct-current power transmission system simulation model; adopting square-wave pulse approximate discharge current, and determining the total amplitude and square-wave pulse width of long-wave discharge current of the EM lightning arrester; s2, applying the square wave pulse to the tested EM lightning arrester resistor discs through a shock wave test platform, and testing the current magnitude and the total current of each resistor disc of the EM lightning arrester under the working condition; the total amplitude and the square wave pulse width of the preset square wave pulse are the same as the total amplitude and the square wave pulse width of the long wave of the discharge current of the EM arrester; and S3, according to the current of each resistor disc and the total current, calculating a current non-uniform coefficient and the current range of the resistor discs. According to the invention, the current distribution non-uniformity of the multi-column parallel lightning arrester can be tested and evaluated more reasonably and comprehensively.