126 results about "Standard Charge" patented technology

The invention provides an optical energy storage regulation and control method and system based on multi-time scale rolling optimization in the technical field of energy storage regulation and control, and the method comprises the steps: S1, inputting a 24-hour electricity price prediction curve, a 24-hour photovoltaic output prediction curve, a 24-hour load prediction curve and an initial SOC into a day-ahead prediction model, a 24-hour SOC reference trajectory and a standard charging and discharging plan are obtained; s2, collecting feedback data, and inputting the 24-hour SOC reference trajectory, the standard charging and discharging plan and the feedback data into the intra-day prediction model to obtain a corrected charging and discharging plan; and S3, setting an SOC dynamic limit value, collecting a real-time electricity price and real-time photovoltaic output, and inputting the corrected charging and discharging plan, the SOC dynamic limit value, the real-time electricity price, the real-time photovoltaic output and the actual SOC into the real-time prediction model to obtain a charging and discharging instruction and frequency modulation output power. The method has the advantages that the precision, economical efficiency and power grid adaptability of energy storage regulation and control are greatly improved, and the attenuation speed of the service life of the battery is greatly delayed.

The invention provides a storage battery pack performance evaluation method and system based on big data, and relates to the technical field of storage battery performance evaluation, and the method comprises the steps: obtaining the charging and discharging data of a to-be-evaluated storage battery under different working conditions, carrying out the denoising processing of the charging and discharging data, carrying out the adaptive normalization processing, and obtaining the standard charging and discharging data, equalization processing is carried out, time domain features and frequency domain features are extracted respectively, and high-dimensional feature vectors are obtained through combination; performing dimension reduction operation on the high-dimensional feature vector to obtain low-dimensional embedded representation, generating an initial data set, dividing the initial data set into a training data set and a test data set, constructing an initial prediction model and performing hyper-parameter optimization to obtain a first prediction model; and acquiring real-time charging and discharging data, constructing a real-time feature vector, adding the real-time feature vector into the first prediction model to generate a real-time performance parameter, filtering the real-time performance parameter, constructing a health state prediction model for prediction, and obtaining a comprehensive performance evaluation result.

The invention relates to an intelligent identification and conversion control method for a charging interface of a multi-standard charging pile in the field of new energy automobiles, and the method comprises the steps: carrying out the mode matching analysis of interface physical feature data and communication signal feature data, and obtaining a preliminary classification result of the type of a charging interface device; according to the loading result of the communication configuration parameters, obtaining a confirmation feedback signal of successful protocol switching; judging whether the load demand data conforms to a rated output power range of a charging interface device or not; according to the authorization instruction, current intensity data including a peak value and an average level and voltage level data including a fluctuation amplitude in the charging process are monitored in real time; if the current intensity data or the voltage level data exceed a preset safety threshold value, power supply connection is disconnected, and a circuit path is cut off; and generating a power-off record log containing abnormal fluctuation data and a power-off moment according to a result of disconnecting the power supply connection.

The invention relates to the technical field of electric vehicle charging control, and discloses a charging pile power regulation and control method and device, electronic equipment and a storage medium. The method comprises the following steps of: monitoring multi-dimensional time sequence data such as charging voltage, current and battery temperature in real time, performing state segmentation, and calculating the similarity between a data sequence of each stage and a standard charging template so as to accurately screen out a stable charging state stage. And extracting a power adjustment amount based on the time sequence characteristic and the fluctuation mode of the stage, fusing the adjustment amount of the environment temperature, the equipment load parameter and the charging power, and dynamically generating a power switching rule by using a fuzzy logic controller. And finally, smooth switching and cyclic adjustment of the power levels of the charging piles are realized according to the rule. According to the method, the accuracy and the anti-interference capability of charging state identification are improved, and the adaptability and the collaborative optimization capability of power regulation to a complex environment and a power grid condition are enhanced, so that the charging efficiency and the power grid stability are both considered on the premise of ensuring the safety of the battery.

The invention provides a battery impedance analysis method and device, a storage medium and computer equipment. When the battery impedance is analyzed, an EIS test is carried out on a target battery, and various electrochemical behaviors of the battery in the test process are captured through dynamic characteristics in test data, so that a DRT map generated by carrying out DRT analysis on the test data can visually display impedance response time corresponding to different electrochemical processes in a time dimension; after the response interval of each electrochemical process is determined, standard charging and discharging circulation can be carried out on the target battery, DCR testing is carried out on the target battery with a plurality of selected turns in the circulation process, impedance decomposition is carried out on DCR data obtained through testing on the basis of each response interval, and therefore real-time subdivision of overall impedance information is achieved. And finally, carrying out comparative analysis on impedance decomposition data obtained after subdividing each selected number of turns, so as to generate a high-quality impedance analysis result.

This invention provides a high-power in-vehicle USB charging module, comprising a first charging circuit, a second charging circuit, a first USB interface, and a second USB interface. The first charging circuit includes a first DC-DC boost / buck circuit and a first charging protocol control circuit. The first DC-DC boost / buck circuit performs DC-DC conversion on the in-vehicle DC input power VBAT received at its input terminal Vin to obtain a first DC power supply VBUS1 provided to the first USB interface. The first charging protocol control circuit is connected to the first DC-DC boost / buck circuit. The second charging circuit includes a second DC-DC boost / buck circuit and a second charging protocol control circuit. The first USB interface is connected to both the first DC-DC boost / buck circuit and the first charging protocol control circuit. The second USB interface is connected to both the second DC-DC boost / buck circuit and the second charging protocol control circuit. Thus, it supports not only standard charging protocols but also proprietary charging protocols.

The invention discloses an SOH correction method and device of a battery pack, and relates to the technical field of new energy automobile battery management. The method comprises the following steps: testing the cycle life of a battery cell to obtain a standard characteristic matrix of charging and discharging of a battery pack; and then dividing real-time charging and discharging data through a preset current interval and a preset temperature interval, constructing an actual measurement characteristic matrix of charging and discharging of the battery pack, determining an SOH correction value through the standard characteristic matrix and the actual measurement characteristic matrix, and correcting an SOH calculation value through the SOH correction value. By comparing the standard charging and discharging data of the battery cell in the battery pack with the self charging and discharging capacity in the actual use process and combining with the SOH calculation algorithm of the battery pack, the defect that the SOH algorithm is poor in precision in the prior art is overcome, and the accuracy of the SOH algorithm is improved through the standard charging and discharging data and the actual charging and discharging data of the battery pack. And the correction accuracy of the SOH value is further improved, so that the SOH value is closer to the real life value of the battery pack, and the accuracy of the SOH value of the battery pack is improved.

The invention provides an electrode material performance evaluation method, device and system and a storage medium. The method comprises the following steps: acquiring a target charge-discharge voltage range of a battery made of a to-be-tested electrode material; wherein the width of the target charge-discharge voltage range is greater than the width of the standard charge-discharge voltage range of the battery; circularly charging and discharging the battery in the target charging and discharging voltage range, and acquiring charging and discharging data of the battery in the circular charging and discharging process; and evaluating the cycle performance of the to-be-tested electrode material based on the charging and discharging data. According to the scheme, the lithium consumption of the battery made of the to-be-tested electrode material is increased by widening the charge-discharge voltage range, so that the cycle performance of the to-be-tested electrode material can be evaluated based on the charge-discharge data in the few cycle charge-discharge processes, the test period is effectively shortened, and the test efficiency is improved.

The invention discloses a battery bumping damage early warning method and system, and relates to the technical field of battery damage early warning, and the method comprises the steps: carrying out a standard charging preprocessing cycle on a single battery, carrying out the complete charging after a preset number of times is reached, and obtaining the initial quality data; performing quasi-static extrusion damage to obtain final-state quality data, and calculating a quality change rate; collecting quality change rates, detection data, simulation data and structure states of multiple groups of batteries to construct a training data set, and training to obtain a deep learning model; battery mechanical collision state monitoring data are obtained in real time, matched feature parameters are obtained through preprocessing and feature extraction and input into the model, and a structural integrity evaluation result is generated; according to the battery bumping damage early warning method and device, early warning is conducted on potential damage in advance through the deep learning model, and potential safety hazards caused by internal damage of the battery are avoided.

The invention relates to the technical field of lithium ion batteries, in particular to a detection capacity grading screening method for energy storage lithium iron phosphate batteries. According to the method, standard charging and discharging circulation is carried out on the battery to obtain nominal capacity, then two-stage constant-current discharging is carried out with decreasing small current in sequence, the discharging capacity is monitored in real time, and if the discharging capacity exceeds a preset capacity interception threshold value, the battery is marked as an abnormal product preliminarily; and starting an abnormal product rechecking process for all marked abnormal products, performing direct-current internal resistance rechecking and / or small-current discharge curve fragment rechecking, and comparing a test result with a pre-established good product data range so as to make final qualification or abnormity judgment. According to the method, batteries with overlarge resistance values can be intercepted through low-current discharge, tab fault batteries are effectively screened, the battery screening cost is greatly reduced, the error-tolerant rate is lower, energy consumption is reduced, the yield can be improved, and a better effect is achieved on detection of capacity grading and pairing consistency.

The invention discloses an electric vehicle battery charging method which comprises the following steps: in response to a charging instruction, acquiring current vehicle information, detecting the starting state of a heater, and if the starting state of the heater is open, acquiring a standard charging ampere meter comprising a plurality of interval groups and a safety current coefficient table, determining a safe charging current according to the current vehicle information, the standard charging ammeter and the safe current coefficient table, and finally charging the battery by using the safe charging current. According to the invention, on the premise that the safety of the battery is ensured, the battery can be charged at the maximum power when APTC heating is started, APTC heating at all gears can be met, the situation that charging is slow and even charging power failure occurs under the condition of extremely low temperature of a client is avoided, meanwhile, other devices do not need to be added, and the cost is saved.

The invention relates to the technical field of transformer area charging, and particularly provides a transformer area ordered charging intelligent control method and system, a terminal and a storage medium, and the method comprises the steps: building bidirectional communication connection between a charging pile and a transformer area use and collection terminal; after the connection is established, acquiring charging information and real-time electricity price by the transformer area using and acquiring terminal; constructing an MLP fusion model, fusing multi-dimensional data in the charging information into a fusion feature vector based on the MLP fusion model, and training a CNN-LSTM load prediction model based on the fusion feature vector; a load prediction result is obtained, a charging mode is selected based on the predicted load result, the real-time electricity price and the charging information, a charging strategy is dynamically adjusted based on the charging model, and the charging mode comprises a standard charging mode, a timing mode and an intelligent charging mode. The beneficial effects of improving the system compatibility, enhancing the load prediction accuracy, improving the intelligent management level to optimize the user experience, reducing the communication cost, optimizing the charging load management and the like are achieved.

Method of managing charging of a battery, including: determining that the battery is in a standard charging mode, and in response: for a first time interval, charging the battery with a first power provided by a power supply unit (PSU), the first power associated with the standard charging mode; determining that the first time interval has elapsed, and in response, for a second time interval after the first time interval: determining whether the battery is in a constant voltage mode or a constant current mode; in response to determining that the battery is in the constant voltage mode: determining a current voltage of the battery; determining an offset voltage based on the current voltage of the battery and a current output voltage of the PSU; and charging the battery with a second power provided by the PSU, the second power based on the offset voltage.

The invention belongs to the technical field of new energy batteries, and discloses a new energy battery capacity prediction method, which comprises the following steps: acquiring the number of charge-discharge cycles of a new energy battery, capacity data of each charge-discharge cycle and use time; determining the standard charge-discharge cycle index of the new energy battery according to the charge-discharge cycle index and the use time; constructing a first network model and a second network model for predicting the capacity of the new energy battery; when the standard charge-discharge cycle number is # imgabs0 #, the historical capacity sequence of the previous N charge-discharge cycles is used as the input parameter of the first network model, and the first network model outputs the capacity corresponding to the subsequent multiple charge-discharge cycles; when the number of standard charge and discharge cycles is # imgabs1 #, decomposing the historical capacity sequence of the first N charge and discharge cycles into a fluctuation component and a trend component by using a modal decomposition method, inputting the fluctuation component and the trend component into a second network model, and obtaining the capacity corresponding to the subsequent charge and discharge cycles through the second network model; and # imgabs2 represents a threshold value of the number of times of charging and discharging.

The present application discloses a BMS intelligent management system based on big data, which relates to the technical field of energy storage intelligent management, and solves the technical problem that it is difficult for the existing BMS management system to set reasonable charging parameters according to the usage of the battery, resulting in an increased possibility of abnormalities during the charging process of the battery, and further reducing the service life of the battery. It includes: a data acquisition module: collecting real-time detection values; a central processing module: generating optimal charging data and charging warning data according to historical charging data and standard charging data; generating the current charging strategy according to the optimal charging data; a charging control module: charging the battery according to the charging strategy; a charging monitoring module: generating a warning signal according to the real-time detection value and the charging warning data; a warning module: obtaining the warning signal and giving an alarm according to the warning signal; charging the battery according to the optimal charging parameters of the current state of the battery to increase the service life of the battery.

The present invention relates to a factory metrological verification and traceability device for a charging detection system of a charging pile, which includes a standard charging pile and a metering device; the metering device includes a communication simulator, an operation processor, a data interface, an electric energy metering module and an analog battery, and the electric energy metering module includes a fixed cable, a current transformer, a voltage transformer and an electric energy metering chip; the present invention takes the standard charging pile as a benchmark. During use, the metering device first charges from the standard charging pile. After charging a specific amount of electricity, the measured value of the electric energy metering module in the metering device is compared with the displayed value of the standard charging pile, and the measured value of the metering device is corrected by using the displayed value of the standard charging pile. Then, the metering device is connected to the charging pile to be tested and charged. After charging a specific amount of electricity, the charging pile to be tested is corrected by using the measured value of the metering device. The present invention can effectively perform traceability detection on the charging piles that are already in use, so that the charging piles can still maintain accuracy after long-term use.

This application provides a battery impedance analysis method, apparatus, storage medium, and computer equipment. When analyzing battery impedance, an EIS test is performed on the target battery to capture various electrochemical behaviors of the battery during the test process through the dynamic characteristics in the test data. Therefore, the DRT spectrum generated by DRT analysis of the test data can intuitively display the impedance response time corresponding to different electrochemical processes in the time dimension. After determining the response range of each electrochemical process, standard charge-discharge cycles can be performed on the target battery. During the cycle, DCR tests are performed on the target battery for multiple selected cycles, and impedance decomposition is performed on the obtained DCR data based on each response range to achieve real-time subdivision of the overall impedance information. Finally, the impedance decomposition data obtained after subdivision for each selected cycle number are compared and analyzed to generate high-quality impedance analysis results.

The invention relates to the technical field of new energy automobiles, and discloses a national standard compatible European and American standard charging control circuit and method. The circuit comprises a European and American standard charging interface, a national standard charging interface, a first area controller, a second area controller, a central controller, a connection detection circuit and a guide circuit. The European and American standard charging interface is electrically connected with the first area controller; the national standard charging interface is electrically connected with the second area controller; the first area controller is electrically connected with the central controller; the second area controller is electrically connected with the central controller; the European and American standard charging interface comprises a connection signal output end and a guide signal output end. The connection detection circuit is electrically connected with the connection signal output end of the European and American standard charging interface; and the guide circuit is electrically connected with the guide signal output end of the European and American standard charging interface. According to the invention, national standard charging and European and American standard charging can be compatible, the charging logic conversion process is simplified, and the charging reliability is improved.

The invention discloses a lithium iron phosphate battery capacity grading capacity statistical correction method, and belongs to the field of lithium battery capacity correction. The method comprises the following steps: S1, charging a lithium iron phosphate battery to be subjected to capacity grading to a full charge state according to a standard charging process; s2, discharging to a first cut-off voltage V1 at a constant current I1 in an environment of 25 + / -2 DEG C, and recording a capacity C1; s3, the standing time is T; s4, continuously discharging at a constant current I2 to a second cut-off voltage V2, and recording a capacity C2; s5, calculating the initial combined capacity C < initial > = C1 + C2; s6, extracting N battery samples with the same model and the same batch, and performing standard cycle test to calculate a batch correction normal number K = (sigma Ki) / N; s7, correcting the subsequent battery capacity to obtain C true = C1 + C2-K; and S8, correcting once every half a year when the battery cell formula is not changed, and correcting again when the formula is changed. The method has the beneficial effects that the accuracy and batch consistency of capacity grading capacity statistics are remarkably improved.

A charging station with a replaceable charging gun includes a detachably connected station body and a charging gun body. The lower end of the station body is connected to a power cord and a charging gun connection cable, with a male connector at the end of the charging gun connection cable. One end of the charging gun body has a charging gun head, and the other end has a female connector. This invention's replaceable charging gun charging station features a buckle on the outer wall of the male connector, a locking cavity on the inner side of the outer wall, a locking groove on the wall of the locking cavity of the female connector, and a sliding sleeve on the outermost side of the female connector. The lower end of the sliding sleeve has a protruding wall opposite the locking groove. When the female connector and male connector mate, the protruding wall pushes the ball bearing of the buckle into the locking groove to achieve locking. To unlock, the sliding sleeve is slid backward, the protruding wall no longer pushes the ball bearing, and external force pulls the ball bearing out of the locking groove. The connection method is simple, and the charging gun head can be a European standard, American standard, or Chinese standard charging gun head, allowing one charging station to connect to multiple standard charging gun heads.

The application discloses a method for characterizing lithium precipitation window by using battery polarization potential, and belongs to the technical field of lithium ion batteries. The method comprises the following steps: obtaining a standard charge-discharge potential curve through a discharged battery; setting different rates, and performing charge-discharge tests on a three-electrode battery at different rates to obtain positive and negative charge-discharge potential curves of the three-electrode battery at each rate; comparing the positive and negative charge-discharge potential curves of the three-electrode battery at each rate with the standard charge-discharge potential curve, and calculating the polarization potential of the three-electrode battery at each rate through the potential difference at the maximum deviation of the two curves; and disassembling the three-electrode battery to obtain the polarization potential and the charge-discharge rate when lithium precipitation starts. The main use of the application is to further reduce the risk of lithium precipitation of lithium ion batteries, utilize the correlation between battery lithium precipitation and polarization, utilize the polarization potential to characterize the lithium precipitation window, and predict the internal condition of the battery in advance, so that a more optimal charging strategy can be formulated, and the battery performance can be improved.

The utility model discloses a projectile launching device based on fuel gas driving, and relates to the technical field of projectile launching devices, the projectile launching device comprises a projectile enhancing cabin, a launching tube, a projectile support separator, a silencer and a laser speed measuring device which are sequentially arranged on a base, energetic materials are filled in a powder chamber of the projectile enhancing cabin, nitrocotton or standard charge is used as launching charge, and the laser speed measuring device is used for measuring the speed of the projectile support separator. The launch charge is ignited through the electronic ignition device, so that high-pressure gas is generated to drive the projectile body / sabot to fly out at a high speed along the launching tube with the caliber of 25 mm, the sabot and the projectile body are pneumatically separated through the sabot separator, the high-pressure gas is further silenced and shunted through the silencer, and the impact influence of the high-pressure gas on a target piece is reduced; and finally, the projectile body impacts the target after being subjected to speed measurement by the laser speed measurement system. The utility model has the advantages that the speed of the projectile body is continuously adjustable, the use and operation are simple, the raw materials are easy to obtain, the safety is controllable and the like; and meanwhile, the influence of high-pressure gas on the target piece can be effectively reduced by the silencer.

The invention discloses a charging control method, device and system and a readable storage medium. The charging control method comprises the following steps: acquiring a standard charging current value, an actual charging current value and a first initial set value; under the condition that the total difference value of each battery pack is greater than 0, updating the first initial set value to a first updated set value which is obtained by subtracting the total difference value from the first initial set value; the total difference value is the sum of differences obtained by subtracting the corresponding standard charging current values from the actual charging current values of all the battery packs of which the actual charging current values are greater than the corresponding standard charging current values; under the condition that the total difference value is equal to 0 and all the actual charging current values are smaller than the corresponding standard charging current values by one step-increasing current value, the first initial set value is updated to be a second updated set value, the second updated set value is obtained by adding one step-increasing current value to the first initial set value, and otherwise, the first initial set value is kept unchanged. In this way, the battery is prevented from being overcharged, and large-current impact is avoided.

The present invention discloses a wireless charging power dynamic balance control system for electric vehicles, characterized in that: it includes a plurality of energy transmitting coils arranged corresponding to charging positions, each energy transmitting coil is correspondingly configured with an inverter, the front ends of the plurality of inverters are connected in a DC-DC dynamic matrix module, a three-phase power supply is paralleled to supply power to the DC-DC dynamic matrix module after passing through a multi-channel PFC converter, the three-phase power supply also supplies power to a power transmission control module after passing through a rectification module, the power transmission control module obtains the charging demand information of each charging position through an intelligent charging platform, and controls the output states of the DC-DC converters in the DC-DC dynamic matrix module according to the charging demand information, so as to achieve wireless charging power dynamic balance control. The effect is that it can dynamically adjust the output power of each charging position according to the number of currently connected users, so as to improve the charging rate as much as possible on the premise of meeting the standard charging time and ensure fast charging for each user.

A power converter, a charging and discharging device, and a vehicle. The vehicle comprises the charging and discharging device, and the charging and discharging device comprises the power converter. The power converter comprises: a first terminal assembly adapted to connect to a US standard charging pile plug or a European standard charging pile plug; and a second terminal assembly adapted to connect to a European standard vehicle charging socket or a US standard vehicle charging socket, where the first terminal assembly is electrically connected to the second terminal assembly.

1. The name of the product of this design: All-in-one charging and inspection machine (JHAI‑EV‑D30KH). 2. Purpose of this design product: This design product is used for charging new energy vehicles, standard charging detection of electric vehicle power batteries, battery management system (BMS) detection, interface circuit detection and other functions. Through testing, the residual value, failure and safety of the vehicle's power battery can be tested and verified. 3. The design key point of this appearance design product lies in the shape. 4. The picture or photo that best illustrates the design points: three-dimensional picture.

The present application provides a power battery attenuation control method and device, and a vehicle, including: fitting the historical capacity retention rate of the power battery, and then taking the minimum capacity retention rate of all battery cells corresponding to the fitting result as the fitted capacity retention rate of the power battery, and determining the target parameter for adjusting the upper limit of the charging current according to the fitted capacity retention rate; then comparing the actual charging time of the power battery with the standard charging time; adjusting the target parameter when the actual charging time is not equal to the standard charging time; not adjusting the target parameter when they are equal; finally sending the unadjusted target parameter or the adjusted target parameter to the vehicle terminal, so that the vehicle terminal performs attenuation control on the power battery. The present application can effectively avoid overcharging and overdischarging of the power battery, prevent the rapid attenuation of the power battery, and the present application can also realize the rapid correction of the charging and discharging strategy of the vehicle end by combining with the cloud server.

The application relates to the technical field of new energy vehicles, and discloses a charging control circuit and method compatible with the national standard and the European and American standard. The circuit comprises a European and American standard charging interface, a national standard charging interface, a first area controller, a second area controller, a central controller, a connection detection circuit and a guide circuit; the European and American standard charging interface is electrically connected with the first area controller; the national standard charging interface is electrically connected with the second area controller; the first area controller is electrically connected with the central controller; the second area controller is electrically connected with the central controller; the European and American standard charging interface comprises a connection signal output end and a guide signal output end; the connection detection circuit is electrically connected with the connection signal output end of the European and American standard charging interface; and the guide circuit is electrically connected with the guide signal output end of the European and American standard charging interface. The application can be compatible with the national standard charging and the European and American standard charging, simplifies the charging logic conversion process, and improves the charging reliability.

The invention discloses a BMS intelligent management system based on big data, relates to the technical field of energy storage intelligent management, and solves the technical problems that an existing BMS management system is difficult to set reasonable charging parameters according to the use condition of a battery, so that the possibility of abnormality of the battery in the charging process is increased, and the service life of the battery is shortened. Comprising a data acquisition module for acquiring a real-time detection value; the central processing module is used for generating optimal charging data and charging early warning data according to the historical charging data and the standard charging data; generating a current charging strategy according to the optimal charging data; the charging control module is used for charging the battery according to the charging strategy; the charging monitoring module is used for generating an early warning signal according to the real-time detection numerical value and the charging early warning data; the early warning module is used for acquiring an early warning signal and giving an alarm according to the early warning signal; the battery is charged according to the optimal charging parameter of the current state of the battery, and the service life of the battery is prolonged.

The invention provides a portable air conditioner multi-battery pack chain topology charging monitoring method and device, computer equipment and a storage medium. The method comprises the following steps: acquiring constant-voltage charging access state parameters of a multi-battery pack module of the portable air conditioner; performing charging access adjustment processing on the constant-voltage charging access state parameter and a preset access state parameter to obtain a constant-voltage access adjustment quantity; and sending a charging packet cutting loss enabling signal to the chain topology charging system according to the constant voltage access adjustment quantity. After the constant-voltage charging access state parameters are collected, the current charging mode of the portable air conditioner battery pack is determined, and then the constant-voltage charging access state parameters are compared with the standard charging access state parameters, so that the difference between the current charging mode of the portable air conditioner battery pack and the specified charging mode is conveniently determined; and finally, according to the difference value, the charging mode of the portable air conditioner battery pack is adjusted, so that the charging power is kept maximum, and the charging efficiency of the multiple battery packs is effectively improved.