739 results about "Charge management" patented technology

The invention relates to the technical field of electric vehicle charging management, and discloses an electric vehicle charging optimization management system. The system comprises a dynamic charging demand prediction module which constructs a model based on historical data, collects voltage fluctuation, current phase deviation and charging power pulse characteristics of a charging pile in real time, and outputs a theoretical charging load value; the multi-dimensional demand difference analysis module is used for performing three-dimensional comparison of time accumulation deviation, frequency response difference and pulse characteristic similarity on theoretical and actually measured load values to generate a charging pile group level difference characteristic tensor; the hot spot region association positioning module inputs the difference feature tensor into a spatial topology mapping network, generates a fault probability thermal distribution diagram in combination with power grid node capacity and charging station position information, and positions a charging bottleneck region; and the self-adaptive regulation and control strategy generation module is used for starting millisecond-level monitoring on a high fault probability region according to the thermal distribution diagram and applying a power disturbance test on adjacent nodes. The system can improve the accuracy and effectiveness of charging management.

The invention relates to the technical field of battery management, and discloses a forklift battery charging method and device, and the method comprises the steps: collecting the real-time multi-dimensional physical state data, including vibration data, of a forklift battery; dynamically reconstructing a multi-physical field coupling model matched with the current working condition in a preset model library according to the data; performing predictive multi-target optimization based on the model to determine an optimal charging equalization strategy considering charging time, energy loss, health attenuation and thermal risk; charging is executed according to the strategy, the deviation between physical response and model prediction is compared in real time, and online self-correction is conducted on model parameters. The system comprises a state acquisition module, a model reconstruction module, a strategy optimization module and a charging control and correction module. According to the method, the digital twin model capable of self-evolution is constructed and closed-loop feedback correction is carried out, so that the charging strategy can actively adapt to working condition changes caused by factors such as vibration and temperature, and safer and more efficient charging management of the forklift battery is realized.

The invention discloses a charging pile communication method and system based on multi-protocol adaptation, and solves the problem of compatibility between a charging pile and vehicles with different communication protocols. The method comprises the following steps: acquiring charging request data of a charging pile and a vehicle, identifying a vehicle communication protocol, and performing compatibility comparison with a charging pile protocol; and if the protocol is not matched, carrying out transcoding strategy matching by using a protocol converter, constructing a protocol adaptation scheme, and realizing communication link connection between the charging pile and the vehicle. And the system monitors the charging state of the vehicle in real time, evaluates the conversion performance of the protocol adaptation scheme based on the charging state, and obtains performance data. And finally, performing optimal configuration on the parameters of the protocol converter according to the performance data. According to the method, dynamic adaptation and optimization among multiple protocols are realized, the compatibility and efficiency of charging communication are improved, the intelligent level of charging management is enhanced, the method is suitable for various charging environments, and the charging experience and the system stability are improved.

The invention discloses a charging pile management method and system based on data analysis, and belongs to the field of charging management.The charging pile management method based on data analysis comprises the following steps that a time sequence prediction model is constructed based on historical charging session data, environmental factors, special time period information and the real-time occupancy state of a charging pile, predicting peak periods and valley periods of charging demands in different areas from a few hours to one day in the future; the method has the beneficial effects that the charging service price is dynamically adjusted by predicting the charging demand peak period and the charging demand valley period and combining the overall utilization rate prediction result of the charging piles in the region in the period, so that the regional charging price in the charging demand peak period is relatively high, and the regional charging price in the charging demand valley period is relatively low; therefore, the user is guided to actively perform peak shifting charging or select other areas for charging, the load distribution of the charging piles is optimized, the queuing pressure in the peak period of the charging demand is relieved, and the infrastructure utilization rate in the valley period of the charging demand is improved.

The invention relates to the technical field of new energy automobile charging management, in particular to a new energy automobile charging pile orderly management system and method based on a WeChat applet, and the system comprises a multi-dimensional data collection module which is used for collecting the state of a charging pile, parking space occupation and power grid load data; the Internet of Things sensor group is deployed at the charging pile and is used for acquiring electrical parameters such as the state (during charging, idle charging and fault), charging power and voltage of the charging pile in real time; provided is a parking space visual monitoring device. Through combination of an interval tree data structure and a multi-target optimization scheduling model, space-time dimension dynamic management of charging pile resources is realized, the problems of reservation conflicts, resource idleness and the like in a traditional system are effectively solved, the utilization rate of the charging piles is remarkably improved, and an intelligent time period recommendation algorithm is based on user habits and a power grid load state. Users are guided to carry out peak shifting charging, balanced allocation of charging resources and power grid loads is promoted, and optimization of energy utilization efficiency is achieved.

The invention relates to the technical field of unmanned vehicle scheduling and charging management, and discloses an unmanned vehicle remote non-inductive scheduling and multi-vehicle cluster charging cooperative management system, which comprises a cluster state sensing module, a multi-vehicle cluster charging cooperative management module, an unmanned vehicle remote non-inductive scheduling module and a multi-vehicle cluster charging cooperative management module, the scheduling feature analysis module performs modeling analysis on the two types of flows to generate feature sets; the collaborative decision-making module is used for matching scheduling strategy levels based on strategy matrix fusion features; the charging strategy generation module calls a charging strategy according to the grade; and the central processing unit verifies and generates a final instruction set. The system is further provided with a communication relay interface, a charging pile dispatching module and the like, and data transmission, charging optimization, instruction execution and data archiving are achieved. The system improves unmanned vehicle cluster scheduling and charging cooperation efficiency, is suitable for large-scale management, and has the advantages of being high in real-time performance, accurate in decision making and the like.

The invention provides a battery car dynamic charging optimization management system based on battery health state evaluation, and belongs to the technical field of battery car charging management. The system comprises a data acquisition module which is connected with an environment sensing device and a battery management system and acquires environment and battery parameters in real time; the data storage module is used for storing an initial training data set, a charging and discharging data set and a battery aging feature library; the model building module is used for building a battery health state evaluation model through a migration strategy and building a response model through a modeling strategy; the health state evaluation module is used for extracting associated features with a critical damage threshold value as a core through a mapping algorithm based on the battery parameters, the environmental parameters and an aging feature library; and the charging strategy generation module comprises a strategy generation unit, a reference parameter generation unit and a dynamic correction unit. The system effectively improves the adaptability of battery car charging, guarantees the efficient and stable operation of the battery, and remarkably improves the safety and prolongs the service life of the battery.

The invention provides a new energy vehicle parking charging scheduling management method and system, and relates to the technical field of new energy charging management, and the method comprises the steps: receiving a charging reservation request sent by a new energy vehicle, including a vehicle identification code, a battery remaining capacity and an expected charging time period, obtaining a vehicle charging characteristic parameter, and combining with environment temperature correction; and the actual required charging time is accurately calculated. And on the basis of the charging duration, the expected charging time period and the charging pile operation state, a dynamic scoring method is adopted, a comprehensive score is calculated through duration matching score and reliability score weighting, and an optimal charging pile is selected for distribution according to a scoring result. According to the method, a weighted dynamic scoring method of the duration matching score and the reliability score is adopted, the user demand, the operation state of the charging pile and the environmental influence are comprehensively considered, the optimal distribution of the charging pile resources is ensured, and the overall operation efficiency and the service quality of the charging station are remarkably improved.

The invention relates to an intelligent charging management method and system based on cooperative control of a charging pile cluster, a charging request initiated by a user is regarded as a disturbance factor, the charging request moves in a dynamic mode in the charging pile cluster, and aggregation and decoupling of the request between nodes are realized through a response threshold value set by the charging pile nodes; forming a decentralized regulation and control starting point based on disturbance response; when a service saturation trend of a certain charging pile node appears, the node issues a task release statement, and peripheral idle nodes autonomously select to receive a migration task according to a local resource state; all the scheduling execution instructions form asynchronous and adjustable scheduling chain rhythms in the cluster through delay or advanced execution windows calculated by the charging pile nodes based on a local operation state; and each node evaluates energy potential energy according to the renewable energy access rate, the load redundancy degree and the idle period, releases node energy potential information through a user side interface, and guides a user to adjust reservation behaviors according to the situation.

The invention relates to the technical field of charging management, and discloses an intelligent charging method and system based on a charging pile, and the method comprises the steps: collecting an identifier of a charging object connected with the charging pile, calling the historical charging data and safety evaluation information, obtaining a user charging instruction, and combining with a charging pile performance evaluation model, performing gradient analysis on the charging instruction to generate a test plan and a subsequent plan, performing testable charging according to the test plan, collecting test data to construct a test information flow, analyzing the test information flow to form a feedback factor matrix, obtaining guide information in combination with safety evaluation information, and substituting the guide information into the subsequent plan to realize final stable charging operation. According to the method, by introducing multi-dimensional data analysis and gradient control, a personalized and dynamic charging strategy is realized, the charging efficiency and safety are improved, the service life of the battery is prolonged, the risks of overcharging, overheating and the like are reduced, and the problem that in the prior art, a charging pile lacks individual difference adjustment of a charging object is solved.

The invention discloses a shaft control red light gain red light golden yellow light single control eye protection lamp, and belongs to the field of lighting equipment. An intelligent control assembly and a power supply assembly are arranged in the base, a folding structure is arranged on the rear portion, a lamp body is arranged at the end of the folding structure, and a light source module is arranged in the lamp body. The intelligent control assembly comprises a main control chip STM32F103C8T6 and is used for controlling the light source module; the power supply assembly comprises a storage battery and a Type-C charging port, and the charging port is connected with the storage battery through a TP4056 charging management chip. The folding structure is hinged to the first supporting plate and the lamp body through any stop rotation damping rotating shafts. The light source module comprises 630-650 nm axis control red light, 610-630 nm gain red light and 3000-3500 K golden yellow light units which are distributed in an array mode. The base is provided with a control touch key and an anti-skid pad, and the lamp body is provided with a frosted acrylic lampshade. The device is scientific in spectrum, convenient to adjust and good in eye protection effect.

The invention provides a self-adaptive PD charging control method and system based on a double Type-C circuit and a storage medium, and the method comprises the steps: monitoring an interface connection state in real time, collecting power-on current information when peripheral access is detected, and intelligently recognizing a device type in combination with a preset current threshold range and a PD protocol handshake process. The function change-over switch and the charging management module are dynamically configured; if the device is a data device, a data path is connected and power output is limited; if the device is a charging device, charging parameters are negotiated and high-power transmission is started; when the double charging devices are connected, intelligent power distribution and priority management are executed, electrical parameters such as voltage, current and temperature are continuously monitored, and self-adaptive adjustment is triggered when the voltage, the current, the temperature and the like exceed the limit. According to the invention, intelligent function switching and safe power management of double interfaces are realized, the risk of misplug damage is effectively avoided, and the equipment compatibility, the system energy efficiency and the user experience are improved.

Computer-implemented methods and computer systems are disclosed herein as implemented by a controller operatively coupled to a network of electric vehicles. The methods and systems include the controller (i) receiving a notification that an electric vehicle is stranded without sufficient power to operate; (ii) receiving information regarding the stranded electric vehicle; (iii) detecting one or more other electric vehicles in a vicinity of the stranded electric vehicle; (iv) receiving information regarding the detected one or more other electric vehicles; and / or (v) determining, based upon the received information, which of the detected one or more other electric vehicles to send a power source request. Alternatively, the notification may indicate that an electric vehicle has a low state of charge (SOC), or is otherwise has a battery in need of being recharged to facilitate the electric vehicle traveling to a destination.

The management of the charging of an electric vehicle, via a charging terminal. A method for managing this charging includes: connecting a charging cable between the electric vehicle and the charging terminal; the charging terminal receiving authentication data in relation to the electric vehicle; the charging terminal triggering the charging at the end of an inspection on the authentication data when the authentication data concern a second user, different from the first user and authorized to carry out charging.

A charging management apparatus is configured to manage charging of a battery of an electric vehicle serving as a vehicle. The charging management apparatus includes one or more processors and one or more memories. The one or more memories are communicably coupled to the one or more processors. The one or more processors are configured to: acquire data on a current location and a destination of the vehicle; set charging facilities of the battery to stop during a travel from the current location to the destination, based on a predetermined criterion; and calculate a necessary charging time necessary at a first charging facility of the charging facilities to cause an expected remaining capacity of the battery upon a scheduled arrival at a second charging facility of the charging facilities after the first charging facility to be equal to or greater than a predetermined reference charging capacity.

The invention discloses an electric power allocation method and device based on an electric vehicle electrical load and electronic equipment, and relates to the technical field of electric vehicle charging management and electric power system scheduling or other related fields, the method comprises the following steps: collecting travel behavior data of N electric vehicle users, and obtaining road network topology data, N being a specified numerical value; simulating road network driving conditions of the N electric vehicles in the target time period based on the travel behavior data and the road network topology data to obtain simulated travel information; determining charging demand information of each electric vehicle based on the simulated travel information; and summarizing the charging demand information of all the electric vehicles to obtain the spatial and temporal distribution demand of the electrical load, and generating an electric power allocation strategy based on the spatial and temporal distribution demand of the electrical load. The technical problem that the time-space allocation of electric power and electric energy is difficult to match the power demand of a user due to low accuracy of charging load analysis of the electric vehicle in the related technology is solved.

The invention discloses an intelligent adaptive charging management system based on a cloud platform and an implementation method thereof, and relates to the technical field of intelligent charging management. Comprising the steps of executing vehicle charging, collecting charging data and uploading the charging data to a cloud; acquiring vehicle type and battery information of the vehicle; the vehicles are clustered into different vehicle groups, and typical vehicles in each group are selected; maintaining a plurality of preset charging curve templates; in the initial stage of system deployment, a multi-template charging test is carried out on typical vehicles, and the effect is recorded; screening the template with the optimal effect as an initial standard template of the vehicle group; and on the basis of the initial standard template, the charging effect is taken as a reward signal, a reinforcement learning mode is adopted to optimize a charging strategy one by one, and a personalized optimal charging curve of each vehicle is obtained. According to the method, self-adaptive optimization of the multi-vehicle-type personalized charging curve can be realized, and particularly, the optimal charging strategy can be quickly adapted and efficiently converged on the basis of historical data when a new vehicle is accessed.

The invention discloses an intelligent charging management system and management method based on a battery health state, which is used for managing a vehicle-mounted battery on a new energy electric vehicle and comprises a battery health monitoring module, an intelligent decision module, a charging execution module and a heat management module, the battery health monitoring module is used for correcting the SOH evaluation value of the battery and is matched with the intelligent decision-making module based on the correction, the optimal charging curve is dynamically output, pulse charging is integrated through the charging execution module so as to reduce polarization and recover charging waste heat, the battery equalization function can be started in time, and the service life of the battery is prolonged. According to the method, the attenuation speed of the service life of the battery is delayed, the thermal runaway risk caused by fast charging is reduced, the charging loss is reduced so as to improve the energy utilization rate, and the effect of optimizing the charging efficiency, the safety and the service life of the battery is achieved through real-time monitoring and dynamic regulation and control.

The invention discloses an electric vehicle charging management method based on an HA-SAC algorithm, and the method comprises the steps: firstly, carrying out the modeling of an electric vehicle charging management optimization model through fully considering the life loss of a transformer and the charging preference of a user; modeling a charging management optimization problem as Markov Game (MG for short), taking each electric vehicle as an independent intelligent agent, constructing a state space according to information such as the charging state, the electricity price and the user preference, and taking the charging power as an action variable; then, on the basis of an HA-SAC algorithm, a local action network and a centralized evaluation network are constructed for each agent, and centralized training is carried out through global information; and finally, the trained strategy is deployed to each electric vehicle agent node, so that the electric vehicle agent node can autonomously decide a charging behavior only by depending on local information in actual operation, and distributed and privacy-protected cooperative charging control is realized.

The invention discloses an intelligent charging management system of a new energy automobile, and relates to the technical field of charging control of the new energy automobile, and the system comprises a user identification and authentication module which supports three authentication modes, account association related information and authentication encryption transmission; the charging demand prediction module collects multiple types of data, and predicts charging related parameters through a fusion algorithm; the charging pile and battery state monitoring module collects various operation data in real time; the power grid load sensing module collects power grid information and synchronizes peak and valley periods; the charging strategy optimization module dynamically adjusts a charging scheme in combination with multi-source data; the safety protection module has six protection functions and a fault diagnosis capability; the data storage module adopts a distributed database and an encryption technology; the man-machine interaction module supports multiple operation modes and displays key information; and the communication coordination module is responsible for multi-terminal data interaction and protocol conversion. According to the invention, intelligence and accuracy of charging management are improved, safety protection and data safety are enhanced, and multi-scene charging requirements are met.

The invention discloses an industrial personal computer UPS power supply method based on commercial power interruption seamless switching, and relates to the field of uninterruptible power supply control, and the method comprises the steps: configuring a UPS input unit to receive a DC power supply converted from commercial power, charging a lithium battery pack through a BQ24610 charging management chip, collecting a current detection signal of the BQ24610 charging management chip through an MCU, obtaining the electric quantity state of a lithium battery, and outputting the electric quantity state of the lithium battery. An LM5176 buck-boost controller is arranged to be synchronously connected with the input unit and the lithium battery pack to form a bidirectional energy path; the voltage of the UPS input unit is monitored through the MCU, and a switching instruction is triggered. According to the invention, the MCU controls the EN pin of the LM5176 buck-boost controller and the CE pin of the BQ24610 to cooperatively switch a power supply path, millisecond-level seamless switching of a hardware level is realized, and meanwhile, an RS232 bus is matched to transmit a state signal in real time, so that the data protection process of the industrial personal computer and the power supply switching action are precisely synchronized, and the reliability of the industrial personal computer is improved. The problem that hardware switching and software protection are not synchronized in a traditional scheme is solved.

The invention discloses a charging management circuit and a charger. The charging management circuit comprises a flyback converter, a first sampling feedback module, a second sampling feedback module and an optocoupler. The first sampling feedback module comprises a comparator, a first switch unit, a thermosensitive voltage dividing unit and a current sampling resistor. The duty ratio of a PWM chip is controlled through an optocoupler to achieve constant-current charging in the first charging stage. The resistance of the thermosensitive voltage dividing unit is increased when the temperature rises, the charging current is automatically reduced, and temperature self-adaptive protection is achieved. And when the charging current is reduced to a preset value, the second sampling feedback module takes over the control optocoupler to realize constant-voltage charging in a second charging stage. Constant-current and constant-voltage two-stage charging can be achieved, the function of automatically adjusting the charging current through the temperature is achieved, the charger is effectively prevented from being overheated in the high-temperature environment, and the safety of the charger and a battery is protected.

To suppress concentration of charging for a plurality of electric vehicles (EV) and achieve leveling. An electric vehicle charging management device 10 that manages charging for a plurality of EVs 40, the electric vehicle charging management device including: a charging time zone information creation unit 121 that creates charging time zone information 1007 indicating a charging schedule for each of the plurality of EVs 40 by using delivery course information 1001 and vehicle information 1003; a power consumption amount calculation unit 122 that calculates time zone-based power consumption amount information 1008 indicating a power consumption amount including an execution charging amount in each of the plurality of time zones; and a charging time zone information change unit 123 that changes the charging time zone information 1007 by changing charging for a changing target electric EV in a maximum time zone that is a time zone having the largest power consumption amount among the plurality of time zones.

The invention relates to the field of charging management, in particular to a charging scheduling method and system for an emergency energy storage power supply, application scene information is registered for the energy storage power supply on a cloud operation platform through an intelligent terminal, and the cloud operation platform inquires power grid load data and electricity price fluctuation data for the energy storage power supply according to the application scene information; charging opportunity prediction information in a future time period is obtained through analysis based on the power grid load data and the electricity price fluctuation data and sent to the energy storage power source, the energy storage power source senses the electric quantity state and the health state of the energy storage power source, and a corresponding charging strategy is implemented in combination with the charging opportunity prediction information.

The invention discloses a battery charging management method and device, equipment and a medium, and the method comprises the steps: obtaining the surface temperature data of each cell, calculating the real-time internal resistance through combining the terminal voltage of the cell with the charging current, judging the internal resistance abnormality through the correlation of two parameters, namely temperature and internal resistance, and accurately capturing the initial fine change of the internal resistance. The problem that early abnormity is difficult to recognize in traditional single temperature or environment temperature detection is solved, and abnormal battery cells are prevented from being in an unmonitored state for a long time. Meanwhile, the charging current is dynamically adjusted according to a preset proportion instead of overall adjustment for the battery cell with abnormal internal resistance, so that the temperature difference between the battery cell and other battery cells can be directly reduced, heating aggravation is inhibited from the source, the thermal runaway risk is reduced, the battery cell temperature can be better kept consistent, the situation that the overall service life of the battery is prolonged due to individual battery cells is reduced, and the service life of the battery is prolonged. Therefore, the charging efficiency is better considered, and safe and long-acting charging management support is provided for the battery of the electric two-wheeled vehicle.

The invention discloses a photovoltaic and energy storage integrated charging pile intelligent charging processing method and device, and relates to the technical field of intelligent charging, and the method comprises the steps: recognizing the historical charging interval data of a plurality of double-gun charging piles in the operation process, and obtaining the three-mode working state information of the double-gun charging piles; performing combined training optimization of charging efficiency and power grid carbon emission factors in the initial intelligent charging regulation and control model to obtain a double-gun charging regulation and control model; scheduling correlation coefficients of all the double-gun charging piles are calculated; a charging mode needing to be activated is judged in the double-gun charging regulation and control model, a double-gun power distribution scheme of each double-gun charging pile in the current time period is generated, a global optimal charging strategy is formed, and the output power of the first gun and the second gun of each double-gun charging pile in the target charging station and the operation state of the energy storage unit are regulated and controlled. The invention provides a novel charging management mechanism which can give consideration to charging service continuity and operation economy in a power grid capacity limited scene.

The invention discloses an electric vehicle wireless charging system and an optimization method thereof. The electric vehicle wireless charging system comprises a transmitting end optimization module, a receiving end optimization module, a dynamic matching control module and an intelligent charging management module. The transmitting end optimization module is used for reducing magnetic field leakage in the energy transmission process through magnetic field focusing; the receiving end optimization module is used for detecting relative position deviation of the transmitting end and the receiving end and reducing external magnetic field interference; the dynamic matching control module is used for matching the impedance of the transmitting end and the receiving end in real time to reduce reflection loss; and the intelligent charging management module is used for implementing a segmented charging strategy according to the battery state and executing safety protection. By applying the technical scheme of the invention, the problems of high reflection loss caused by serious magnetic field leakage and impedance mismatch and low overall charging efficiency caused by lack of intelligent charging control in the existing wireless charging system of the electric vehicle can be solved.

The invention discloses an electronic paper display device and a control method thereof. The electronic paper display device comprises an electronic paper display module and a control module, the solar energy collection module is used for converting solar energy into electric energy; the low-light energy collecting module is used for converting environment low light into electric energy; the energy storage unit is used for storing the electric energy provided by the solar energy collection module and the low-light energy collection module; the solar energy collection module is electrically connected to the energy storage unit through the first charging management circuit, the first charging management circuit comprises a solar energy power supply management chip and a first anti-reverse charging diode, and the input end of the solar energy power supply management chip is connected with the solar energy collection module; the output end of the solar power management chip is connected in series with the first anti-reverse charging diode and then is connected to the energy storage unit. According to the invention, the self-adaptive safe charging of the electronic paper in an indoor and outdoor changeable illumination environment is realized, and the endurance reliability and the application range of the electronic paper equipment are improved.

The invention discloses a wireless power load management system and a control method, and relates to the technical field of charge management, the system comprises a load identification module, a risk early warning module and a risk identification module, the load identification module collects waveform data through deploying a sensor on a distribution line, and the risk early warning module performs early warning on the load; a dynamic time warping algorithm is applied to accurately identify load requirements of new electric appliances, electric power is adjusted according to the load rate of a transformer and the like, a risk early warning module integrates meteorological data, charge state data and load use data, and a mathematical optimization model is established, so that distributed energy and load balance optimization scheduling is carried out, and the optimal scheduling efficiency is improved. And meanwhile, risk early warning is carried out on interaction data of distributed energy, load and energy storage, a risk identification module generates a maintenance scheme after early warning, and iteration is carried out on risk correction parameters according to fault identification related indexes, so that intelligent management of the power load is realized, and the stability and reliability of operation of a power system are improved.

The invention discloses a multi-battery-pack charging management system and method and engineering machinery, and the system comprises a VCU which is configured to execute the starting control of a whole vehicle, the logic scheduling of a charging process, the cooperative management of high-voltage parts, and the processing of an abnormal state; the number of the battery packs is multiple, each battery pack is internally provided with an independent BMS, and the BMS is configured to monitor the running state of the battery packs in real time; the PDU relay is integrated with positive and negative pole contactors corresponding to the battery packs and a PDU auxiliary loop contactor connected in series with the DCDC high-voltage power supply loop; the DCDC is configured to convert the high-voltage direct current output by the battery pack into low-voltage direct current, and the working state of the DCDC is regulated and controlled by the VCU; the charging gun has an anti-misplug mechanical structure and a safe locking function. The multi-battery-pack parallel charging function of the vehicle under any working condition can be achieved, cooperative work and safe operation of all the battery packs and high-voltage components in the charging process are ensured, and the charging efficiency and the system reliability are effectively improved.