2110 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 provides a load current and inverter load discharge combined remote discharge method and system, and relates to the technical field of discharge control, and the method comprises the steps: collecting the parameters of a battery pack through a remote monitoring system, evaluating the health state and dischargeable capacity of the battery pack based on a fuzzy control algorithm, and calculating the optimal discharge power and duration according to a prediction correction algorithm; and generating a load and inversion discharge power curve. When the battery pack is healthy and the dischargeable capacity is sufficient, the load and the inverter discharge unit are remotely controlled, the duty ratio of a load switch and the switching frequency and output voltage of an inverter are controlled according to respective power curves, and two discharge loops are formed. And collecting discharge current and battery pack parameters in real time, and stopping discharging when the state of charge of the battery pack reaches a preset threshold value. According to the invention, by combining the load current and the inverter load for discharging and performing intelligent control based on the battery state, efficient and safe remote discharging is realized, and the service life of the battery pack is prolonged.

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 battery pack for an electric work machine in one aspect of the present disclosure includes a battery, an attachment port, a current path, at least one fuse, a temperature detector, and a control circuit. The battery includes a positive electrode and a negative electrode. The attachment port is detachably attached to the electric work machine. The current path is coupled to the positive electrode or the negative electrode. The current path delivers a discharge current from the battery to the electric work machine. The at least one fuse is on the current path. The temperature detector outputs a temperature signal indicating a fuse temperature. The control circuit reduces or stops the discharge current based on the fuse temperature having satisfied or satisfying a discharge inhibition requirement.

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 storage battery remote capacity checking method, system and equipment, and the method, system and equipment are executed through a remote capacity checking main control module in a storage battery remote capacity checking system, the remote capacity checking main control module establishes communication with a remote management platform, and is connected with an inversion compensation grid-connected module in the storage battery remote capacity checking system; comprising the following steps: controlling a storage battery to discharge a direct-current electricity load based on a capacity checking discharge instruction issued by a remote management platform; acquiring an actually measured current value in the discharging process of the storage battery, and determining a current difference value between the actually measured current value and the reference current value; if the absolute value of the current difference value is greater than a preset threshold value, the storage battery is discharged through an inversion compensation grid-connected module for current compensation; when it is detected that the discharge end condition of the storage battery is met, checking the capacity of the storage battery to obtain a capacity checking result of the storage battery; the discharge current of the storage battery can be stably maintained in the precision range of the reference current value in the storage battery capacity checking process so as to meet the relevant regulation requirements of capacity checking discharge of the storage battery.

The invention provides a control method of a multi-battery pack parallel operation system and battery packs, and is applied to the technical field of energy storage. The method comprises the following steps: when a non-electrified first battery pack branch exists in a discharge mode, acquiring a parallel operation voltage difference threshold value, a discharge current, a first voltage of the first battery pack branch and a second voltage of an electrified battery pack branch of a current multi-battery pack parallel operation system; according to the discharging current, the first voltage, the second voltage and a parallel operation voltage difference threshold value, the first battery pack branch is controlled to be powered on; when a non-electrified second battery pack branch exists in the charging mode, acquiring a parallel operation voltage difference threshold value and a charging current of the current multi-battery pack parallel operation system, a third voltage of the second battery pack branch and a fourth voltage of an electrified battery pack branch; and controlling the second battery pack branch to be electrified according to the charging current, the third voltage, the fourth voltage and a parallel operation voltage difference threshold. And safe and efficient parallel operation of the multiple battery pack branches under the condition that the voltage difference exists is realized.

The invention discloses an aged battery state collaborative estimation method and system, and the method comprises the following steps: calculating a battery health state value according to the relation between the battery health state and the battery internal resistance, and collecting the current battery discharge data when the battery health state value reaches a preset point; establishing a second-order RC equivalent circuit model, combining the SOC-OCV fitting curve with the second-order RC equivalent circuit model, calculating to obtain a characteristic equation and a state-space equation of the second-order RC equivalent circuit model, and outputting an observation equation; carrying out parameter identification on the second-order RC equivalent circuit model, estimating the real-time charge state value of the battery, calculating the health state value of the battery by utilizing the calculated real-time charge state value of the battery and the discharge current, and updating the health state value of the battery and an SOC-OCV fitting curve in time by judging the variation of the health state of the battery, or replacing the battery in time; according to the invention, the estimation precision of the state of charge SOC of the aged battery can be improved, and the requirement of algorithm complexity on a hardware system is remarkably reduced.

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.

A lithium ion battery internal resistance calculation method and apparatus, an electronic device, and a storage medium. The lithium ion battery internal resistance calculation method comprises: dividing a battery internal resistance to be calculated into a charge transfer internal resistance, a mass transfer internal resistance and an ohmic internal resistance (S120). Functional relationships between each internal resistance and factors such as the temperature, a state of charge of a battery, and charge and discharge currents are established. When calculating the internal resistance of each part, the method of establishing the function relationships by mathematical fitting is used, and the effect of the temperature, the state of charge of the battery and the charge and discharge currents on the battery internal resistance is also taken into account, so that the battery internal resistance can be predicted more accurately. Moreover, according to the method, the change rule of the internal resistance of the battery throughout the life cycle thereof is predicated by establishing functional relationships between internal resistances and different aging conditions of the battery, thereby reducing the prediction error of the battery internal resistance in practical application.

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 embodiment of the invention discloses a marine energy storage system and a discharging method thereof. According to the method, in the discharging process of the marine energy storage system, if the marine energy storage system in the discharging state is abnormal, abnormal information of the marine energy storage system is obtained; if the abnormal information does not trigger the power-off of the marine energy storage system, determining whether to trigger and reduce the discharge current of the marine energy storage system; if the discharge current of the marine energy storage system is triggered to be reduced, the discharge current of the marine energy storage system is adjusted from the first current to the second current, so that the technical problem that the whole ship is directly powered off and loses power due to the failure of a certain cluster of batteries in the marine energy storage system can be solved; and the discharge reliability of the marine energy storage system is greatly improved.

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.

A power converter incorporating a synchronous rectifier implements adaptive gate voltage regulation for fast turn-off of the synchronous rectifier. In some embodiments, the adaptive gate voltage regulation circuit and method monitors the slope of the synchronous rectifier current during the on period of the synchronous rectifier. In response to detecting the synchronous rectifier current decreasing rapidly, a larger gate discharge current is applied to quickly discharge the synchronous rectifier gate voltage. In response to detecting the synchronous rectifier current decreasing more moderately, a smaller gate discharge current is applied to discharge the synchronous rectifier gate voltage in a moderate manner. When the synchronous rectifier can be turned off quickly, large reverse current and large drain voltage spike at the synchronous rectifier is avoided. The adaptive gate voltage regulation circuit and method is particularly useful when the power converter is operated in the discontinuous conduction mode.

Methods and systems are provided for increasing energy output from Z-pinch and other plasma confinement systems. In one example, a system may include memory storing instructions that, if executed by one or more processors, cause the system to adjust one or more parameters to generate a magnetic field which is sufficiently strong to axially compress a fuel gas to induce thermonuclear fusion and increase a fusion energy gain factor greater than a fusion energy gain factor limit attainable by the thermonuclear fusion. In certain examples, adjusting the one or more parameters may include adjusting a duty cycle of a discharge current applied to the fuel gas based, at least in part, on an amount of thermal collisions between fusion byproducts and the fuel gas. In certain examples, by adjusting the duty cycle, the magnetic field may be adjusted to induce or increase the thermal collisions.

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.

The invention provides a battery charge state prediction method comprising the following steps: obtaining to-be-predicted data of a target battery, the to-be-predicted data comprising a terminal voltage, a terminal discharge current and a terminal voltage change rate; inputting the to-be-predicted data into a pre-trained battery state-of-charge prediction model based on transfer learning, and obtaining a state-of-charge prediction result corresponding to the target battery output by the battery state-of-charge prediction model; wherein the battery state-of-charge prediction model comprises a transfer learning model and a Transformer model which are obtained through training of training data and are based on time distribution search and matching. Therefore, the state of charge of the battery can be accurately and quickly predicted.

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.