137results about How to "Improve charging experience" patented technology

The invention discloses an intelligent wireless charging power distribution method and system, and aims to improve the efficiency and safety of simultaneous charging of multiple devices, and the system design comprises a plurality of key modules: a device detection and recognition module automatically recognizes the charging devices and collects the power demands of the charging devices; the power demand analysis module calculates the power demand of each device according to the device electric quantity and the charging mode, and the power distribution control module dynamically adjusts the power output according to the priority, the distance and other factors; the real-time monitoring and feedback module ensures the stability and safety of the charging process, and the data recording and learning optimization module optimizes the charging strategy by analyzing historical data. Through cooperative work of the modules, the system can adjust the charging power in real time, optimize the charging efficiency, improve the user experience, and ensure the safety of the charging process. The system shows good adaptability in a multi-device environment, and important reference and application prospects are provided for development of a wireless charging technology.

The invention provides a charging control method of automobile charging equipment and a charging control device thereof. The automobile charging equipment is hung on a walking guide rail which is hung on the top of a parking lot, a plurality of charging base stations are arranged on the line of the walking guide rail and correspond to parking space positions of the parking lot, and the automobile charging equipment comprises a mechanical arm hanging platform and a charging host hanging platform which can be hung on the walking guide rail. The charging control method comprises the following steps: a pile taking step: a charging host mounting platform on which a charging host is mounted runs to a target charging base station, and the charging host is electrically connected with the target charging base station; a mechanical arm conveying step: the mechanical arm mounting platform assembled with the mechanical arm runs to a target charging base station and is electrically connected with the target charging base station; and a mechanical arm action step: releasing the mechanical arm from the mechanical arm mounting platform, and operating the charging gun by the mechanical arm to perform an action of inserting the charging gun into the to-be-charged vehicle.

The invention relates to the technical field of batteries, in particular to an intelligent battery discharging control method and system and charging and discharging equipment, and the method comprises the steps that port insertion equipment carries out protocol identification, and the residual maximum power of current theoretical output is calculated according to the maximum output power; when the residual available power cannot meet the port power under the condition that the minimum output power of each port is reserved, other ports are distributed according to the reserved minimum power, and the sum of the minimum power of other ports is subtracted from the residual available power to obtain the actual output power of the port; and monitoring the actual discharge power of each port in real time, and limiting the maximum discharge power of other ports according to the actual discharge power. According to the intelligent power distribution method, the power output can be dynamically adjusted according to the power demand of the connected equipment, and each piece of equipment can be charged at the fastest speed to improve the charging efficiency.

The invention discloses an optimal configuration method and device for a forced metrological verification terminal of an electric vehicle charging pile. The method comprises the following steps: S1, constructing a user charging selection model; s2, the predicted electric vehicle charging demand is input into a user charging selection model, and electric vehicle user charging selection is obtained; s3, obtaining a charging pile contact rate according to the charging selection of the electric vehicle user; s4, a forced metrological verification terminal optimization configuration model is constructed, the objective function of the forced metrological verification terminal optimization configuration model is that the comprehensive cost is minimum, and the constraint condition is that the charging pile contact rate is larger than a preset value; and S5, solving the forced metrological verification terminal optimization configuration model by adopting an improved shuffled frog leaping algorithm. According to the technical scheme, under the condition that the same verification target is achieved, the charging pile metrological verification cost is greatly reduced, and resource waste is avoided.

The invention discloses an automatic charging billing method based on identity recognition, a charging pile, a product and a medium, and relates to the field of electric vehicle charging. The method comprises the steps of recognizing a first license plate image of a target vehicle through a license plate recognition model to obtain first vehicle identity information of the target vehicle; when the confidence coefficient of the first vehicle identity information is smaller than a preset value, whether the license plate of the target vehicle is shielded by stains is judged; if yes, generating a cleaning control instruction according to the license plate position information of the target vehicle; sending the cleaning control instruction to cleaning equipment to clean the license plate; after the cleaning equipment completes license plate cleaning, a second license plate image of the target vehicle is recognized through the license plate recognition model, and second vehicle identity information of the target vehicle is obtained; and binding the charging billing of the target vehicle with the identity information of the second vehicle. According to the invention, through intelligent identification and cleaning of the license plate, accurate identification of the vehicle identity and accurate charging billing are ensured, so that the operation efficiency of the charging station and the charging experience of a user are improved.

The invention provides a charging pile information aggregation display method and display platform, and belongs to the field of charging piles, and the method comprises the steps: obtaining user behavior data and environment data of a charging pile platform, and obtaining a user demand; a scheduling strategy of the charging pile is generated, and personalized user demand display is provided for a charging pile platform; performing weighted fusion on the state data of the charging pile and the environment data; using the time sequence data as input to obtain a load prediction value; and for each user, a personalized recommendation list is generated for each user, real-time user feedback of the charging piles recommended by the user after using the personalized recommendation list is collected in real time, and the satisfaction degree of the user to the recommended charging piles is generated in combination with the personalized recommendation list. By fully combining artificial intelligence and distributed network technology, several core problems of a traditional charging pile information platform are solved, and the intelligent degree, real-time performance and user experience of the platform are greatly improved.

The invention discloses a charging pile fault detection method, device and equipment and a storage medium, and relates to the technical field of vehicles, and the charging pile fault detection method comprises the steps: when a vehicle charging mode is a fast charging mode, obtaining the current charging duration and the current remaining electric quantity; when the current charging duration is greater than a charging duration threshold value and the current residual electric quantity is in a preset electric quantity interval, acquiring a charging pile output power, an extreme value output power and a charging demand power; and determining a target fault detection result according to the charging pile output power, the extreme value output power and the charging demand power. Through the designed scheme for judging the output derating fault of the AC / DC charging pile and clearing the fault, the active derating output working condition of the charging piles with different power levels caused by factors such as over-temperature or internal fault in the charging process can be accurately identified, and a prompt is sent to a user, so that the user can conveniently carry out timing and handling, and the user experience is improved. And the charging experience of the user is improved.

The invention belongs to the technical field of charging piles, and discloses a charging pile CAN bus baud rate adaptive method, system and device and a storage medium. Comprising the following steps that internal CAN communication is used as a use object, a core node CMU evaluates the stability of a CAN communication link and dynamically adjusts the baud rate to optimize the communication performance by analyzing the accuracy of received frames, adaptive matching of the baud rate is carried out according to the accuracy of received messages for newly added nodes, and the communication performance is optimized. The communication efficiency and quality of each node in the CAN network are ensured, when the communication quality is reduced, the baud rate is reduced, errors in data transmission are reduced, and the accuracy and integrity of data are ensured; under the condition that the communication quality is good, the baud rate is improved, so that the data transmission speed is accelerated. Therefore, the communication efficiency can be improved, the time and resources required for data transmission can be reduced, and the technical problems that in the prior art, existing fixed-rate communication is prone to being interfered in a changeable application environment, and the communication efficiency is low are solved.

The present invention discloses a transport robot path planning system for a new energy charging parking lot. The transport robot path planning system for a new energy charging parking lot includes: a garage data acquisition module, an information interaction module, a central control module, and an AGV transport robot. The present invention obtains the vehicle energy drive mode through the garage data acquisition module, sends an energy replenishment prompt to the user through the information interaction module, and obtains the user confirmation signal. If confirmed, the central control module allocates a parking space according to the garage data and the energy drive mode, and uses the A* algorithm to plan the transport path, and transmits the transport path information to the AGV transport robot, which accurately transports the vehicle to the allocated parking space, thereby improving the user experience and solving the current problem of poor user experience.

The invention discloses an electric pile type air mobile charging robot power dispatching system and method.The system comprises a charging robot, an electric pile, a distribution dispatching control unit, a direct-current bus and an electricity taking module, the direct-current bus is arranged along a suspension track, and the charging robot takes electricity from the direct-current bus through the electricity taking module; and the distribution scheduling control unit controls and distributes the power for each charging robot to take electricity from the direct-current bus according to a given power distribution rule. The invention relates to the field of new energy vehicle charging, an electric pile is used as an input source for centralized energy supply to a charging robot, and flexible scheduling distribution is performed on charging power through a centralized and unified scheduling strategy, so that the operation efficiency of a whole charging station and the utilization rate of charging resources can be greatly improved, and the charging experience of a user is improved. The application of the direct-current bus can also greatly reduce the diameter of a cable required by a power supply line deployed along the suspension track, and the cost is greatly reduced.

The present invention discloses a redundant control system for charging guns of a charging pile, which belongs to the technical field of charging piles. The technical problem to be solved is that the control board fails in the case of a single gun and a single control, resulting in failure to charge. It includes a dual-channel control board, which is a state acquisition board and a charging control board; the state acquisition board is configured with a gun line state acquisition interface, a CAN interface and a processor MCU, wherein the processor MCU serves as a state acquisition MCU; the charging control board is configured with a processor MCU, a BMS communication interface, an inter-board communication interface, a charging module communication interface and a charging module control line interface; the charging control MCU is used to control the charging process based on the gun line state and the vehicle BMS state stored in its onboard FLASH.

The invention relates to the field of intelligent vehicles, and provides a vehicle charging method, device and equipment and a vehicle. The method comprises the steps that charging is applied to a target charging pile according to a current request value, and a pile end output current value provided by the target charging pile for a current vehicle is obtained; wherein the current request value is smaller than the current output maximum value of the target charging pile; in response to the condition that the current request value and the pile end output current value meet a preset charging adjustment condition, updating a gain multiplying power coefficient of the current request value, and adjusting the current request value according to the updated gain multiplying power coefficient; and applying for charging from the target charging pile again according to the adjusted current request value. According to the technical scheme, the output state of the charging pile is adjusted, the charging pile responds to the increased current request value to improve the output of the charging current, so that the charging capacity of the charging pile is released, meanwhile, due to the improvement of the charging current, the time of a user for charging the vehicle is shortened, the vehicle charging efficiency is improved, and the charging experience of the user is improved.

The invention discloses a vehicle network interactive scheduling method and system based on dynamic partitioning, and relates to the technical field of vehicle network interaction.The method comprises the steps that electric vehicle demand data is collected, a vehicle network interactive platform is constructed, the weight of the electric vehicle demand data and historical data is dynamically adjusted based on a long-short-term memory network, and electric vehicle prediction data is obtained; based on the electric vehicle demand data and the electric vehicle prediction data, dividing the whole service area into a plurality of intervals by adopting a dynamic partitioning algorithm, setting boundary adjustment rules of the intervals, and when a specific condition is monitored, dynamically adjusting boundaries of the intervals; and dynamically adjusting a scheduling strategy based on the electric vehicle demand data and the electric vehicle prediction data in the interval, and formulating a priority scheduling strategy for the user by combining real-time traffic flow data according to the electric vehicle charging demand and the emergency degree of the user. According to the invention, the complexity in traffic operation and the diversity of electric vehicle user demands can be effectively dealt with, and the efficiency and reliability of vehicle network interaction are improved.

The invention relates to the field of electric bicycle charging equipment, and discloses an electric bicycle charging pile, which comprises a charging main body provided with a plurality of independent charging interfaces, and each interface can detect and identify the battery type and the battery state of a connected electric bicycle; the control module is connected with the charging interface and used for automatically adjusting charging voltage and current according to the detected battery type and state, and the control module can be dynamically switched between a constant-current charging mode and a constant-voltage charging mode based on the current electric quantity level and the battery voltage of the battery of the electric bicycle. Through the combination of the communication module and the control module, a user can remotely set the starting time and the ending time of charging, and can flexibly arrange the charging time according to actual demands, particularly, charging is carried out in a time period with a low electricity price, so that the charging cost is effectively reduced, meanwhile, overcharging is avoided through intelligent control, and the user experience is improved. And the service life of the battery is prolonged.

The invention discloses an intelligent charging pile parking space scheduling method and system, and belongs to the technical field of charging piles, and the key points of the technical scheme are that the method comprises the steps: obtaining the position and road condition information of a to-be-charged vehicle when the to-be-charged vehicle sends a charging request; acquiring equipment information of the charging pile in a preset range according to the position, wherein the preset range is determined according to the residual electric quantity of the to-be-charged vehicle; planning a path between the position and the charging pile according to the road condition information; determining a target charging pile according to the path and the equipment information; and matching the to-be-charged vehicle with the parking space corresponding to the target charging pile to complete charging pile parking space scheduling, and according to the duration required by the user to complete charging and the cost required by the user to complete charging, selecting an appropriate charging pile for the user to perform charging, thereby improving the charging experience of the user.

The invention provides a user charging behavior modeling method and system, and the method comprises the steps: obtaining the global charging behavior data of a user, carrying out the analysis of the global charging behavior data of the user through a clustering method, and extracting the global charging behavior preference characteristics of the user; on the basis of global charging behavior preference characteristics, key factors influencing user behavior categories are analyzed by using information gain, a user behavior preference classification model is constructed, and charging behavior preferences of the user in each scene are determined; and obtaining historical charging behavior data of the user, and based on the historical charging behavior data and the key factors, utilizing the trained user charging behavior model to predict the user charging behavior of the target prediction day. By analyzing and modeling the charging behaviors of the user in different scenes, the efficiency of the power system and the charging experience of the user are improved.

The invention provides automobile charging equipment, a charging host, a mechanical arm mounting platform and an automobile charging system. The hanging rail type automobile charging equipment is hung on a walking guide rail which is hung on the top of a parking lot, a plurality of charging base stations are arranged on the line of the walking guide rail and correspond to parking space positions of the parking lot, and the hanging rail type automobile charging equipment comprises a mechanical arm hanging platform which can be hung and comprises a platform body and a mechanical arm fixed to the bottom of the platform body; the charging host mounting platform capable of being mounted comprises a platform body, a pushing and collecting module and a walking track, wherein the pushing and collecting module and the walking track are arranged at the bottom of the platform body. The charging host is detachably mounted on the lower part of the charging host mounting platform, and a charging gun is mounted on the charging host; the sensing device comprises a mechanical arm tail end visual positioning device, the mechanical arm comprises a charging gun grabbing module assembled at the tail end of the mechanical arm, the posture of the mechanical arm can be adjusted so that the charging gun can be operated through the charging gun grabbing module, and the charging gun can be inserted and pulled out of the vehicle.

The invention discloses an electric vehicle charging intelligent management system based on multi-source data analysis, and relates to the technical field of electric vehicle charging, and the electric vehicle charging intelligent management system is characterized in that information is extracted from multi-source data including historical charging data HC, driving behavior data Db, geographic position information GP and seasonal factors TS, and a PCA feature extraction technology is used to extract the multi-source data including historical charging data HC, driving behavior data Db, geographic position information GP and seasonal factors TS; the system can generate more personalized and accurate charging schemes according to actual conditions and preferences of different users. The system can dynamically adjust the charging time, the charging amount and the place according to the specific charging habit, the driving route and the seasonal factor of the user, so that the charging experience is more intelligent, and the charging time T, the charging amount Q and the charging station selection D of the historical charging data HC are subjected to feature extraction through the PCA technology. The system converts high-dimensional data into multi-dimensional features Z and generates a feature matrix HZ, so that the redundancy of the data is reduced, key features are reserved, and the efficiency of data analysis is greatly improved.

The invention discloses a vehicle reservation charging system, which comprises a cloud platform end, a vehicle machine end and a charging pile, and is characterized in that the cloud platform end is in communication connection with the vehicle machine end, and the vehicle machine end is in wired connection with the charging pile through a charging gun. The cloud platform end is used for generating a first reservation instruction and sending the first reservation instruction to the vehicle machine end after receiving reservation charging information sent by a user; the vehicle terminal is used for checking the charging gun state and the battery state of the target vehicle in response to the received first reservation instruction, generating a trickle charging command and sending the trickle charging command to the charging pile when the charging gun state and the battery state meet preset standards; and the charging pile is used for carrying out trickle charging on the target vehicle based on the trickle charging current in the trickle charging command when the trickle charging command is received. Through the technical scheme of the invention, vehicle reservation charging of the direct current charging pile can be realized, the charging cost of a user is reduced, and the charging experience of the user is improved.

The invention discloses a C-V2X-based intelligent charging system and method, and belongs to the technical field of intelligent charging, and the system specifically comprises a cloud platform which is used for calculating income information according to the real-time electricity price and the power grid load information when a target vehicle enters a cellular network area, transmitting the income information to a vehicle-mounted unit, and transmitting the income information to the vehicle-mounted unit when the vehicle sends a charging demand; the corresponding charging terminal is locked, and connection with the vehicle-mounted unit is established through the road side unit; the vehicle-mounted unit is used for displaying the charging suggestion, the charging time and the predicted income to a vehicle owner according to the current electric quantity, the charging demand and the income condition of the vehicle, and sending a charging request to the cloud platform after receiving a charging voice instruction of the vehicle owner; the road side unit is used for planning an optimal path according to the vehicle position information and guiding the vehicle to automatically drive to the charging terminal; the charging terminal is used for carrying out two-way charging and discharging interaction between the electric vehicle and a power grid; according to the invention, intelligent interconnection between the vehicle and the charging facility is realized through the C-V2X communication technology.

The invention relates to the technical field of electric vehicle charging facilities, and discloses a charging pile fault warning system, comprising a dynamic monitoring module, a data acquisition module, a data calculation module, a simulation warning module, and a management control module. The dynamic monitoring module acquires data by using a multifunctional camera device, the data acquisition module is responsible for collecting data, the data calculation module uses the collected data in a calculation formula to predict the fault of the charging pile and calculate the charging pile working error Sh, the charging car fault unit calculates the charging car fault index Vh according to the charging pile data and the charging car data, the charging environment fault unit calculates the charging environment influence fault index Rh according to the charging environment data, the simulation warning module simulates a virtual fault scenario according to the calculation result, the fault simulation unit determines the real charging pile fault according to the simulation information of the fault simulation unit, and the management control module issues instructions according to the warning information of the simulation warning module.

The application relates to the field of intelligent vehicles and provides a vehicle charging method, a vehicle charging device, a vehicle charging equipment and a vehicle. The method comprises the following steps: applying for charging from a target charging pile according to a current request value, obtaining a pile end output current value provided by the target charging pile to the current vehicle, wherein the current request value is less than a maximum current output value of the target charging pile; in response to the current request value and the pile end output current value meeting preset charging adjustment conditions, updating a gain multiplication factor coefficient of the current request value, and adjusting the current request value according to the updated gain multiplication factor coefficient; and reapplying for charging from the target charging pile according to the adjusted current request value. The technical scheme adjusts the output state of the charging pile, makes the charging pile increase the output of the charging current in response to the increased current request value, thereby releasing the charging capacity of the charging pile, the increase of the charging current shortens the charging time of the user for the vehicle, improves the charging efficiency of the vehicle, and further improves the charging experience of the user.

The invention discloses a private charging pile real-time load prediction method based on edge calculation, and relates to the technical field of load prediction, and the method comprises the following steps: obtaining historical charging efficiency trajectory data and environmental influence data of a private charging pile; constructing a private charging pile real-time load prediction model based on a bp neural network according to the charging efficiency trajectory data and the environmental influence data; acquiring real-time data of the private charging pile, inputting the real-time data into the private charging pile real-time load prediction model, and performing real-time load prediction on the edge computing equipment to obtain a load prediction value of the private charging pile in the future t time; and the prediction result is sent to the user terminal equipment through the communication module, and a charging plan is reasonably arranged according to the prediction result. According to the invention, the powerful processing capability of the edge computing device is fully utilized, and rapid acquisition, preprocessing and load prediction of the real-time data of the private charging pile are realized.

The invention discloses a flexible charging method, platform and system based on a communication base station. The method comprises the following steps: firstly, acquiring flexible surplus energy capacity of a communication base station in a preset range; acquiring a charging demand of the electric vehicle; then flexibly matching the charging demand of the electric vehicle with the surplus energy capacity of the communication base station to obtain a charging strategy; then, when the electric vehicle is connected to the communication base station to be charged, charging control is conducted on the electric vehicle based on the charging strategy; calculating the charging cost; and finally, after charging of the electric vehicle is finished, the charging cost is displayed for payment of a user, and flexible charging based on the communication base station is completed. According to the method, the charging current can be adjusted at any time according to changes of communication services, environment conditions and the like, the power supply safety of main services of the communication base station can be ensured, existing communication infrastructures can be flexibly integrated, comprehensive coverage and marketization selection are achieved, and the overall charging economical efficiency and convenience are improved.

The invention relates to a vehicle charging control method and device, a vehicle and a storage medium. The method comprises the steps that when a charging instruction is received, external charging equipment is controlled to charge a motor system and a power battery; when it is detected that charging of the motor system is completed, the motor system is controlled to charge the power battery. According to the scheme provided by the invention, the problem that the vehicle charging power improvement is limited when the voltage of the power battery is lower than the voltage capability of the external charging equipment can be effectively solved.

The invention relates to a charging method and device, electronic equipment and a storage medium. The charging method comprises the steps that the charging temperature of a battery pack and charging parameters of the battery pack are obtained, the charging parameters comprise charging voltage, and the battery pack comprises at least two batteries; determining a target charging inlet current of each battery in the battery pack based on the charging temperature and the charging voltage; and charging the battery pack based on the target charging inlet current of each battery. The method can achieve the independent control of each battery in the battery pack, can guarantee the charging safety of the batteries, can also guarantee the charging speed, and improves the charging experience of a user.

This disclosure relates to a charging route planning method, apparatus, device, and medium. The method includes: determining a charging start point for a vehicle; determining a charging destination based on the charging start point and the vehicle's driving and battery information; if the charging destination does not exceed the vehicle's destination, filtering a group of charging stations located on a segmented route between the charging destination and the charging start point based on a preset first location code of the charging stations; using the location of each candidate charging station in the charging station group as a new charging start point, and returning to the step of determining the charging destination based on the charging start point and the vehicle's driving and battery information; if the charging destination exceeds the vehicle's destination, generating a target charging route based on multiple candidate charging stations in the charging station group. This disclosure can improve the efficiency and accuracy of charging route planning.

The present invention provides a pre-charging detection method, device and storage medium for a vehicle and an on-board charger thereof. The pre-charging detection method comprises: in response to a received charging instruction, collecting a first voltage on the AC side of the power grid; after reaching a first set time, collecting a second voltage of the capacitor; judging whether the capacitor has completed pre-charging according to the first voltage and the second voltage; when the capacitor has not completed pre-charging, collecting a third voltage of the capacitor after waiting for a second set time; judging whether the capacitor has completed pre-charging according to the first voltage and the third voltage; when the capacitor has not completed pre-charging, reporting capacitor pre-charging fault information; when the capacitor has completed pre-charging, closing the main relay to start the on-board charger. The present invention can increase the probability of charging and enhance the user's charging experience.

This disclosure relates to a coolant circulation system for a charging pile and a charging pile system. The coolant circulation system includes a main inlet pipe, a main return pipe, a first module pipeline, and a heat exchanger. The first module pipeline includes a first inlet pipe, a return pipe, a plurality of first cooling pipes, and a first gun cooling pipe. The first inlet pipe has a first inlet and a first outlet. The first inlet is connected to the main inlet pipe. The return pipe is connected to the main return pipe. Each first cooling pipe corresponds one-to-one with each power module in a first group of power modules. The inlet end of each first cooling pipe is sequentially connected between the first inlet and the first outlet of the first inlet pipe. The outlet end of each first cooling pipe is sequentially connected to the return pipe. The first gun cooling pipe is connected between the first outlet and the main return pipe. A heat exchanger is disposed between the main return pipe and the main inlet pipe to form a closed loop. The heat exchanger is configured to cool the coolant.