1339 results about "Mobile charge" patented technology

The invention relates to a path planning method for a mobile charging robot in an unstructured environment, which combines global path planning and local dynamic obstacle avoidance, performs global path planning through an improved A * algorithm, and performs real-time local obstacle avoidance by using a dynamic window method. The global path and the local path are fused through dynamic weight adjustment, and it is ensured that the robot keeps the continuity of the global path while avoiding obstacles. In the path planning process, factors such as terrain complexity and robot advancing speed are considered, and the energy consumption of the path is minimized by adopting an energy consumption optimization algorithm, so that the working time of the robot is prolonged, and the execution efficiency is improved. The path planning method is suitable for storage, industry, field inspection and other complex dynamic environments, has high adaptability, real-time performance and robustness, and provides an effective solution for efficient application of the mobile charging robot in an unstructured environment.

The invention discloses an unmanned aerial vehicle autonomous homeward voyage charging system based on wireless charging, and relates to the field of flight control and energy management, and the system comprises the steps: monitoring the flight path, remaining power and environmental parameters of an unmanned aerial vehicle, predicting the remaining power required for completing a task, and triggering a homeward voyage condition signal and the current position information of the unmanned aerial vehicle; generating an optimal homeward flight path of the nearest wireless charging platform based on the homeward flight triggering condition signal and the current position information of the unmanned aerial vehicle; obtaining an optimal charging point based on the generated return path, and sending a deployment instruction to the mobile charging platform; the mobile charging platform advances according to the deployment instruction path, the unmanned aerial vehicle returns according to the optimal return path, the course is corrected through inertial navigation and a visual algorithm, and the landing point of the unmanned aerial vehicle is obtained. Fine adjustment and positioning of the flight attitude are formed by using the visual identification and attitude control module, and a closed-loop flight control mechanism based on image processing and attitude adjustment amount calculation is realized.

The invention relates to the technical field of topographic survey, in particular to an overwater and underwater topographic survey method based on cooperation of an unmanned ship and an unmanned aerial vehicle. The method comprises the following steps: acquiring platform parameter data of an unmanned ship and an unmanned aerial vehicle; according to the platform parameter data, isomerization grouping based on the residual electric quantity, the communication signal strength, the cruising ability and the measurement precision is carried out, a collaborative formation scheme is determined according to a preset water area measurement task sequence, and collaborative parameter data is obtained; acquiring environment data of a measurement area; and performing regional division modeling based on water area topographic features and environmental complexity according to the environmental data of the measurement region, and applying the collaborative parameter data to a regional model to obtain a topological model of the measurement region. The unmanned ship is used as a mobile charging platform, real-time electric quantity monitoring and docking charging mechanisms are combined, the endurance guarantee of the unmanned aerial vehicle is realized through energy supply strategy optimization, and the continuity and stability of tasks are ensured.

The utility model relates to the technical field of mobile charging piles, and discloses an environment-friendly cabinet type mobile charging pile which comprises a main body mechanism, a track mechanism and a driving mechanism, racks are arranged on the two sides of a track main body, an emergency stop button is located at the front end of a box body, and the driving mechanism is located at the rear end of the box body. The charging pile is used for rapidly cutting off a power supply in an emergency and ensuring use safety, the interactive terminal provides an operation interface for a user and has the functions of charging starting, charging state monitoring, setting adjustment and the like, and the shock pad absorbs vibration and impact and protects the structure of the charging pile from being damaged. According to the environment-friendly cabinet type movable charging pile, the charging cabinet body is designed to be movable, single charging equipment is allowed to serve a plurality of parking spaces, the utilization rate of a charging station is remarkably improved, and the situation that the parking spaces are occupied by non-electric vehicles or the electric vehicles are vacant due to full charging is reduced through the design; therefore, the same charging resource can serve more users, especially in urban areas with insufficient parking spaces.

The invention discloses a mobile charging pile path planning method and system for an electric vehicle, and relates to the technical field of charging piles, and the method comprises the steps: obtaining a travel plan and a real-time state of a target vehicle, and recognizing a weak energy compensation section; real-time states (including tasks, electric quantity and positions) of all the mobile charging piles in the section are collected; the schedulable electric piles are screened in combination with the vehicle and electric pile states, an alternative set is formed, and schedulability evaluation is carried out; and according to the evaluation result, an optimal service path is planned and issued for the optimal scheduling electric pile according to a preset path strategy, and the optimal service path is guided to execute an energy complementing task. Therefore, the technical effects of improving the scheduling level, improving the energy complementing efficiency and optimizing the energy complementing feeling are achieved.

A multifunctional and rotatable charging dock is provided, which includes a mobile phone charging dock, a watch charging dock, an earphone charging dock, and a common component. The mobile phone charging dock is provided on a top of the common component and can be rotated to achieve wireless charging a mobile phone; the watch charging dock and the earphone charging dock are placed on two sides of the common component for charging the watch and earphones. The common component includes a middle shell, a decoration piece, a main PCB, a counterweight block, a light guide piece, and a bottom cover. The mobile phone charging dock has components such as a lens, a magnet, a coil, etc., and a motor controls its rotation. The watch charging dock can be opened and closed by rotating a shaft, and the earphone charging dock can be turned outward by 90 degrees.

The invention relates to the technical field of mobile charging piles, in particular to a mobile charging pile control method and system, and the method comprises the following steps: S1, charging pile positioning and user demand receiving: obtaining the real-time position information of a mobile charging pile through a GPS; s2, path planning and charging pile movement: controlling a mobile device to drive the charging pile to move to a position designated by a user; s3, charging preparation: performing charging preparation work; s4, electromagnetic interference suppression: suppressing electromagnetic interference; s5, charging and completion: after the charging is completed, disconnecting the power supply, and notifying the user that the charging is completed through the user terminal; s6, dynamic load balancing: monitoring and adjusting the output power of the charging pile in real time; and S7, charging pile returning and data recording: the mobile charging pile returns to an initial position or moves to a standby position according to an instruction of the charging pile control center. According to the invention, efficient scheduling and management of the mobile charging pile are realized.

The invention relates to the technical field of vehicle scheduling, provides a mobile charging vehicle scheduling method and device, electronic equipment and a storage medium, and aims at a plurality of candidate vehicles which send charging requests or are in a low-electric-quantity emergency state to obtain real-time vehicle state data and real-time road network data of each candidate vehicle in real time; according to the method, real-time vehicle state data and real-time road network data are acquired, a corresponding spatial feature risk threshold is acquired from a spatial feature risk database, meanwhile, a time path threshold is determined according to the real-time vehicle state data and the real-time road network data, and then the spatial feature risk threshold and the time path threshold are fused to generate a comprehensive scheduling weight; and finally, according to the comprehensive scheduling weight and the service attribute of the mobile charging vehicle, determining a target vehicle needing to be served and a target parking lot for parking and charging, and scheduling the corresponding mobile charging vehicle to go to the target parking lot to complete the charging service of the target vehicle, so that the user does not need to wait for a long time or empty driving to find a fixed charging pile in the whole process. And the intelligent level and the user experience of the emergency charging service are improved.

The invention provides a mobile charging vehicle charging scheduling method and system, and the method comprises the steps: obtaining a to-be-charged posture corresponding to each to-be-charged vehicle, guiding each to-be-charged vehicle to adjust the corresponding to-be-charged posture based on a standard charging posture, and obtaining basic information corresponding to each to-be-charged vehicle, and establishing a plurality of demand selection conditions of current charging in combination with charging demands uploaded by corresponding users, screening corresponding execution target mobile charging vehicles according to the demand selection conditions, constructing guide moving directions corresponding to the target mobile charging vehicles, and controlling each target mobile charging vehicle to advance according to the corresponding guide moving direction. The real-time video stream corresponding to each target mobile charging vehicle is collected, the target mobile charging vehicle is guided to perform real-time obstacle avoidance, and according to the charging demand of the user, the nearby coincident mobile charging vehicle can be scheduled to move to perform mobile charging, so that the purposes of improving the charging efficiency, reducing the waiting time of the user and reducing the workload of management personnel are achieved.

The invention relates to the technical field of mobile charging station scheduling, and discloses a mobile charging station scheduling method and system for charging unmanned aerial vehicles, and the method comprises the steps: obtaining the real-time position and residual electric quantity of each unmanned aerial vehicle, the real-time position of a mobile charging station, and the residual electric quantity of each unmanned aerial vehicle; based on the real-time position of the unmanned aerial vehicle and the real-time position of the mobile charging station, the distance between the two is obtained; constructing an observation state of the mobile charging station based on the real-time position and the residual electric quantity of each unmanned aerial vehicle, the real-time position of the mobile charging station and the distance between the unmanned aerial vehicle and the mobile charging station; and inputting the observation state of the mobile charging station into a reinforcement learning model trained based on strategy gradient to obtain an action strategy for scheduling the mobile charging station to charge the unmanned aerial vehicle. According to the embodiment of the invention, the mobile charging station is dynamically scheduled to move to the position where the unmanned aerial vehicle may arrive or pass, and energy supplement is provided for the unmanned aerial vehicle in time so as to support the unmanned aerial vehicle cluster to continuously monitor the environment.

The invention provides a full-scene automatic driving positioning device and method for mobile charging equipment, and relates to the technical field of new energy automobile charging. The device comprises an automatic driving system, a map cloud platform in communication connection with the automatic driving system, an automatic driving algorithm training cloud platform, an interactive terminal man-machine interface and a plurality of positioning sensors arranged on mobile charging equipment. Through the automatic driving system with a sensing layer, a planning and decision-making layer and a control layer, and by means of a map cloud platform, an automatic driving algorithm training cloud platform and a plurality of positioning sensors, positioning can be provided for mobile charging equipment in all-scene parking areas such as indoor and outdoor, ground and underground, all-scene automatic driving is realized, and the driving efficiency is improved. Any new energy automobile in the parking area is charged, and flexible mobile charging of the new energy automobile is achieved.

The invention discloses a mobile charging robot intelligent navigation method and system based on a distillation strategy, and relates to the technical field of robot navigation. The method comprises the steps that the use state of a charging pile and the use state of a mobile charging robot in a target area are monitored in real time, and nonlinear road network information data in the target area are acquired; processing the non-linear road network information data, and performing environment feature extraction on the processed linear structured data by using a convolutional neural network to construct a dynamic node road network; the dynamic node road network serves as input, a DQN algorithm is used for training a teacher model for path planning, and an optimal path strategy in the dynamic environment is generated; and judging whether a knowledge distillation process needs to be carried out or not, if so, training a student model based on a distillation strategy, and visualizing a navigation path. According to the method and the system, intelligent navigation of the mobile charging robot in a weak network signal nonlinear dynamic scene can be realized.

The invention discloses a method and system for detecting abnormal conditions of multiple mobile phone charging power supplies, and relates to the field of mobile power supplies, and the system comprises a sensing module which is used for monitoring the operation state of power supply equipment, and sensing the operation state information of the power supply equipment in real time when the power supply equipment operates; the judging module is used for traversing the running state information of the power equipment sensed by the sensing module and judging whether the power equipment runs abnormally or not based on the running state information of the power equipment; the interaction module is used for interacting with charging equipment on the power supply equipment in real time to feed back a judgment result about whether the power supply equipment operates abnormally; according to the invention, comprehensive and real-time monitoring is carried out on the operation state of the power supply equipment, key information such as input and output voltage and current, charging power and the like is covered, subtle changes during operation of the power supply can be timely perceived, whether the power supply has abnormal operation or not can be accurately judged by comparing the subtle changes with a safety judgment threshold value, the abnormal condition can be found at the first time, and the safety of the power supply is ensured. And the safety of the charging process is effectively ensured.

The invention relates to the field of mobile energy storage vehicles, in particular to an optical storage, charging and inspection integrated primary and secondary power supply vehicle. The light storage, charging and detection integrated child-mother type power supply vehicle is a product integrating photovoltaic power generation, mobile energy storage and mobile charging, the child-mother vehicle partner matching mode is adopted, under the condition that the use scene of the mother vehicle is limited, charging operation can be independently completed through the child mobile charging vehicle, the use scene is greatly enriched, and the use experience is improved. The vehicle comprises a mother carriage, a battery management system, an energy storage module, a main control module, a photovoltaic panel and a son mobile charging vehicle, the main control module is in signal connection with the battery management system and the photovoltaic panel, the battery management system is in signal connection with the energy storage module and the photovoltaic panel, the photovoltaic panel is electrically connected with the energy storage module, and the energy storage module is provided with a mains supply connection interface. The child mobile charging vehicle is located in the mother compartment, and the child mobile charging vehicle is configured to selectively move to the outside of the mother compartment to supply power to the outside and move to the inside of the mother compartment to be connected with the energy storage module.

The invention discloses a multi-source mobile energy storage device and a control method thereof. The energy storage device comprises a vehicle body; the multi-source power supply system is arranged on the vehicle body, the multi-source power supply system comprises a photovoltaic power generation unit, an energy storage unit and a mains supply input unit, and the photovoltaic power generation unit and the mains supply input unit are electrically connected with the energy storage unit. According to the multi-source mobile energy storage device, three power supply units of photovoltaic power generation, energy storage and commercial power input are integrated on the vehicle body, and the energy management system is adopted to control switching of power supply modes in real time based on photovoltaic output power, commercial power access state and energy storage residual electric quantity, so that stable and continuous power supply of mobile charging equipment is realized. The device preferentially utilizes photovoltaic power supply and can be automatically switched to a commercial power supply mode or an energy storage power supply mode according to actual conditions, the technical problem that power supply is unstable due to the fact that an existing mobile charging vehicle excessively depends on an energy storage battery is effectively solved, and meanwhile the limitation that fixed charging facilities are not evenly distributed is overcome through the mobile characteristic of the mobile charging vehicle.

The invention relates to the technical field of charging piles, in particular to a mobile charging system based on a charging order-placing intelligent terminal, which comprises a charging order-placing intelligent terminal. An operation platform; a mobile charging terminal; and a user terminal. According to the mobile charging system provided by the embodiment of the invention, the to-be-charged state of the charging port of the to-be-charged vehicle is simulated by using the charging order-placing intelligent terminal, so that the to-be-charged vehicle is locked, and the charging order-placing intelligent terminal sends related information in combination with the user terminal, the operation platform and the mobile charging terminal; the operation platform generates a charging order according to the related information and issues the charging order to the mobile charging terminal, and the mobile charging terminal responds to the charging order and moves to the position of the vehicle to be charged to realize a non-contact and flexible charging process, thereby improving the convenience of the charging process, reducing the limitation of a parking lot through a non-fixed charging providing mode, and improving the charging efficiency. And the use efficiency of the mobile charging terminal can be improved, and resource waste is avoided.

A variable-rail aerial mobile charging robot system, comprising a suspended rail, suspension type charging robots, a driving module, a contact type power supply line and a control unit. The plurality of suspension type charging robots are hung on the suspended rail, each suspension type charging robot comprising a charging pile body (10), a charging gun line mechanical arm and a charging gun (24), and the charging gun line mechanical arm being used for achieving folding, retracting and releasing of a charging cable and the charging gun. The driving module can drive the suspension type charging robots to move along the suspended rail and change rails for steering, and the suspension type charging robots take power from the contact type power supply line in a contact type power taking mode. Using the design of combining soft and hard mechanical arms can achieve regional full-coverage variable-rail mobile charging under the condition of high charging power and relatively thick charging gun cables.

The utility model discloses a multifunctional mobile power pack with a tracking function, including a mobile power pack body and a card holder assembly. A wireless charging module and a position tracking module are disposed in the mobile power pack body, and the card holder assembly is rotatably connected to the mobile power pack body. In the utility model, as the card holder assembly for placing important cards such as bank cards is disposed on the mobile power pack body, the mobile power pack body and the cards are placed together and convenient for the user to carry. The wireless charging module of the mobile power pack body supplies power to a phone and includes a built-in position tracking module that can quickly locate the mobile power pack in case of loss.

The invention provides a form-convertible mobile charging and battery swapping station, and relates to the technical field of new energy automobile charging and battery swapping stations, the form-convertible mobile charging and battery swapping station comprises a mobile charging and battery swapping station body, the mobile charging and battery swapping station body is composed of a first charging storage bin, a battery swapping chamber and a second charging storage bin, and the battery swapping chamber is located on the right side of the first charging storage bin; the second charging storage bin is located on the right side of the battery replacing chamber, the left surface of the first charging storage bin is fixedly connected with a dragging frame through screws, and the bottom of the first charging storage bin is rotationally connected with two self-locking spinning wheels; the situation that an accident occurs due to the fact that the lifting device unstably lifts the automobile due to inclination of the charging and replacing station is avoided, the installation and use range of the charging and replacing station is widened, the charging and replacing station can be suitable for being installed in a slope terrain area, and the problems that an existing charging and replacing station installed on a slope needs to build a cushion table and a cushion slope and is inconvenient to transfer and inconvenient to move are solved. And meanwhile, the cushion platform and the cushion slope cannot be transferred along with the charging and battery replacing station, so that the mounting and transferring work of the charging and battery replacing station is tedious.

The invention provides a mobile charging service method and system based on laser navigation, and relates to the technical field of electric vehicle charging. After a charging demand of a user is obtained through a mobile terminal, an optimal scheduling instruction is generated by integrating the electric quantity of an energy storage pile, a vehicle position and a battery inventory state, and a mobile charging vehicle is controlled to complete automatic battery replacement; and the laser radar SLAM technology and real-time path planning are utilized to realize accurate navigation to the user position for charging, and finally, the old battery pack is automatically recycled and returned to the energy storage pile for energy complementation, so that efficient and intelligent mobile charging service is realized.

The invention discloses a photovoltaic-based mobile charging pile auxiliary energy supplement method and system, and particularly relates to the technical field of energy supply. The method comprises the following steps: acquiring real-time illumination intensity data in a photovoltaic mobile charging pile deployment area and real-time charging demand data of an electric vehicle, and performing data preprocessing to form regional photovoltaic power generation capacity data and regional user charging demand data; analyzing the photovoltaic power generation potential of each grid position, and generating spatial distribution data of the regional illumination power generation potential; identifying space aggregation features of the user charging demand, and generating space aggregation position data of the user charging demand; according to the spatial matching degree between the illumination power generation potential and the charging demand position, determining spatial matching priority data of the optimal deployment position; path planning is carried out based on the space matching priority data, real-time optimal energy complementation scheduling path data is generated, and the scheduling efficiency of the mobile charging pile and the photovoltaic energy utilization rate are improved.

The invention discloses a mobile charging robot return charging scheduling method, and particularly relates to the technical field of mobile robot scheduling management, and the method comprises the steps: collecting state information including the current position, residual electric quantity, task residual path length, battery performance and other contents; when the state meets a scheduling evaluation triggering condition, calculating a behavior urgency index and an energy competition index; inputting the two indexes into a trained learning model, and outputting a decision parameter group containing a scheduling trigger mark, a path sorting factor and a path tradeoff factor; weighing the candidate charging paths according to the decision parameter group, and selecting a comprehensive optimization result as a target path; according to the method, the scheduling quantitative judgment is realized by collecting the multi-dimensional state information and constructing the behavior urgency and energy competition index, the decision parameter group is generated based on the index result, target path screening is guided, a closed-loop mechanism from state perception and intelligent evaluation to path selection is formed, and the scheduling accuracy and the response efficiency are improved.

The invention discloses a mobile charging pile charging demand prediction method and system based on big data analysis, and relates to the related technical field of charging piles, and the method comprises the steps: obtaining the position distribution and remaining power distribution of all mobile charging piles in a preset region in real time; performing prediction of a first type of charging demands from a peak to a trough, and performing charging task distribution density partition identification; second type charging demand prediction of the mobile charging piles is executed based on the charging pile distribution map; executing a second type of charging scheme decision to generate a second charging decision; and controlling the charging of the mobile charging pile according to the second charging decision. The technical problems that in the prior art, dynamic tracks of users cannot be matched, dynamically-changing charging requirements are difficult to adapt, charging resource distribution is unreasonable, charging requirement prediction is not accurate, and the charging service efficiency and the user experience are poor are solved. The technical effects of optimizing the charging resource configuration, improving the charging demand prediction accuracy, and improving the charging service efficiency and the user experience are achieved.

The invention relates to the technical field of vehicles, in particular to a vehicle frame multi-objective optimization method based on rollover collision battery pack safety, which comprises the following steps of: constructing a battery homogenization mechanical model to obtain the distance between current collectors of a positive electrode and a negative electrode of a battery under stress; establishing a battery electrical model through the equivalent circuit, and judging whether the battery is short-circuited in the battery electrical model according to the distance between the current collectors of the positive electrode and the negative electrode; establishing a mobile charging vehicle frame three-dimensional model to obtain an instant angular velocity, and analyzing the damage degree of the battery through the coupling model; and converting each unit of the finite element analysis model into independent cells, adjusting cell attributes according to a preset rule, and performing multi-round iteration by adjusting the cell attributes so as to complete optimization of the frame model. According to the method, aiming at the defect of safety optimization of the battery pack during rollover collision, the lightweight of the frame and the improvement of the safety of the battery pack can be realized at the same time, and the optimization efficiency of a complex model is effectively improved.

The invention relates to an electric vehicle mobile charging station intelligent scheduling method based on a conditional diffusion model, and the method comprises the steps: training an idle charging station state at a current moment and a charging demand information graph in a future time period, and carrying out the model learning of how to generate an optimal target position; specifically, the model firstly collects information generated by each component in the Internet of Things of the electric vehicle in a previous time interval, then draws a two-dimensional information graph by using the information generated by a charging station and the electric vehicle in each time interval, and then uses a conditional diffusion model to train the ability of the model to generate a future time period information graph through time features. And finally, on the basis of a reasoning result, a reasonable target scheduling position is generated for each idle electric vehicle mobile charging station in the current state.

The invention discloses an intelligent charging management method based on a mobile charging device and heat supply network inspection robot dogs. The intelligent charging management method comprises the following steps: setting a plurality of inspection robot dogs to execute different types of heat supply network inspection tasks; the back-end service platform analyzes the real-time inspection power consumption of the inspection robot dogs according to the heat supply network inspection paths, the inspection tasks and the electric quantity attenuation mechanism of the inspection robot dogs, calculates the real-time residual electric quantity of each inspection robot dog, compares the real-time residual electric quantity with the inspection power consumption at the next moment, and sets the charging plan of each inspection robot dog; a plurality of new energy mobile charging devices are arranged to charge each inspection robot dog, and the back-end service platform predicts the power supply value of each new energy mobile charging device; the back-end service platform performs charging optimization distribution of the mobile charging device, and sets an optimal charging path of the mobile charging device and the inspection robot dog; and each mobile charging device and the inspection robot dog autonomously drive to a charging meeting point according to the optimal charging path, and charging is completed in a wireless charging mode.

The mobile charging equipment comprises a semi-trailer type vehicle body, an energy storage compartment, a photovoltaic power generation and heat collection device, a solar photovoltaic panel, a storage battery pack, a heat collection device, a water electrolysis hydrogen production pool, a hydrogen storage tank, a boiler device, a steam turbine generator unit and a fuel cell power generation system. By integrating the technologies of solar power generation and heat collection, solid oxide water electrolysis hydrogen production, steam turbine unit power generation, fuel cell power generation and the like, convenient energy supplementation of the electric agricultural machine is achieved. The equipment is an efficient and environment-friendly energy supply platform, automatic control and remote management can be achieved, and operation convenience and efficiency are improved. Meanwhile, the steam turbine power generation and fuel cell technology is adopted to replace a traditional diesel generator, pollutant emission is reduced, and the requirements of green energy and sustainable development are met. In addition, the equipment can serve as energy storage equipment when being idle, peak load shifting of energy is achieved, and agricultural modernization and sustainable development are promoted.

The utility model discloses a mobile phone shielding cabinet, which relates to the technical field of mobile phone shielding cabinets, aims to solve the problem that different types of mobile phones are inconvenient to charge, and comprises a cabinet body, a cabinet door is mounted on the cabinet body, a coded lock is mounted on the cabinet door, a plurality of cavities are separated from the inside of the cabinet body, and the cavities are communicated with the mobile phone shielding cabinet. The plurality of cavities are arranged in multiple rows and multiple columns, a sliding plate for placing a mobile phone is slidably connected in the cavities, a backup plate is arranged on the upper surface of the sliding plate at equal angles, and two support plates are arranged on the backup plate at equal angles; a charging plate is further rotationally connected to the backup plate, the charging plate is arranged between the two supporting plates, and a plurality of different types of charging ports are formed in the charging plate.

The invention relates to an electric vehicle mobile charging station scheduling method for realizing charge and discharge collaborative scheduling, which comprises the following steps of: 1, constructing a mobile charging station charging scheduling model based on a multi-agent reinforcement learning algorithm idea; 2, designing a negotiation mechanism between the power grid and the mobile charging station according to reasonable constraint conditions, and constructing a discharging scheduling model of the mobile charging station; 3, integrating the charging and discharging scheduling model, considering the conflict problem of the mobile charging station in response to the charging and discharging request, constructing a charging and discharging collaborative optimization scheduling framework, and scheduling the mobile charging station of the electric vehicle; 4, scheduling the mobile charging station according to the constructed charging and discharging collaborative optimization scheduling framework; according to the scheme, power grid load data is introduced as a constraint condition to promote the mobile charging station to respond to a discharging request, and charging and discharging cooperative scheduling of the mobile charging station is achieved.

The invention provides a mobile and fixed hybrid charging scheduling method and system, and a storage medium. The method comprises the steps of obtaining a charging request of at least one target vehicle; a space-time distribution model of a hybrid charging station is constructed according to the charging request, the hybrid charging station comprises a fixed charging pile FCP and a mobile charging pile MCV, and the total cost of the same target vehicle in the mobile charging mode and the total cost of the same target vehicle in the fixed charging mode are obtained according to the space-time distribution model; generating a target vehicle charging selection scheme based on a principle of lowest target vehicle charging cost; and if the target vehicle charging selection scheme is a mobile charging mode, constructing a target function by taking the minimum total operation cost of the hybrid charging station as an optimization target, and solving the target function to obtain an optimal scheduling scheme for selecting the mobile charging mode in the next day. According to the invention, the most economical charging selection scheme can be pushed to the customer, so that the user cost can be reduced, and the optimal scheduling of the MCV can be completed under the condition of selecting the mobile charging mode.