A method, system and terminal for adjusting outdoor charging of vehicle-mounted battery

Abstract

The present invention relates to an adjustment method, system and terminal for outdoor charging of a vehicle-mounted battery, and relates to the technical field of automobile charging, which includes: when the real-time electric energy parameter is less than the benchmark warning electric energy parameter, determining the remaining driving distance according to the real-time electric energy parameter and vehicle information; determining the actual target distance according to the current driving position and the target position; when the remaining driving distance is less than the actual target distance, determining the selected charging distance according to the current driving position and the charging pile position; determining whether the selected charging distance is less than the remaining driving distance; if less than, calling the selected charging position based on the selected charging distance and outputting charging prompt information; if not less than, determining the docking position and docking path according to the driving speed, the current driving position, the selected charging distance, and the actual target distance and controlling the operation of the smart charging vehicle; and driving the smart charging vehicle to charge and dock with the electric vehicle based on the clamping device. The present application has the effect of improving the efficiency of outdoor charging of electric vehicles.

Description

Technical Field

[0001] The present invention relates to the technical field of automobile charging, and in particular to an adjustment method, system and terminal for outdoor charging of a vehicle-mounted battery. Background Art

[0002] A smart charging vehicle is a vehicle equipped with advanced charging equipment and intelligent control systems. It is mainly used to provide convenient and fast charging services for electric vehicles in public places, parking lots, streets and other areas.

[0003] The smart charging vehicle includes a charging vehicle body, a charging plug installed on the charging vehicle body, an energy storage system for storing electric energy, a cable for connecting the charging plug and the energy storage system, and a control system. When an electric vehicle stops on the roadside due to lack of power, the user inputs the location signal of the electric vehicle to move the smart charging vehicle to the corresponding position, and the user takes the charging plug and inserts it into the socket on the electric vehicle to charge the electric vehicle urgently.

[0004] When an electric car stops on the roadside due to lack of power, it needs to wait for the smart charging vehicle to drive to the position corresponding to the electric car, resulting in the waiting process taking up too much time, thereby reducing the efficiency of outdoor charging of electric vehicles. Summary of the invention

[0005] In order to improve the efficiency of outdoor charging of electric vehicles, the present invention provides an adjustment method, system and terminal for outdoor charging of vehicle-mounted batteries.

[0006] In a first aspect, the present invention provides a method for adjusting outdoor charging of a vehicle-mounted battery, which adopts the following technical solution:

[0007] A method for adjusting outdoor charging of a vehicle battery, comprising:

[0008] Obtain the real-time power parameters, current driving position and target position of the electric vehicle;

[0009] When the real-time power parameter is less than the preset benchmark warning power parameter, the remaining driving distance is determined according to the real-time power parameter and the preset vehicle information;

[0010] Determine the actual target distance based on the current driving position and the target position;

[0011] When the remaining driving distance is less than the actual target distance, different charging driving distances are determined according to the current driving position and the preset charging pile position, and the different charging driving distances are arranged in reverse order and the smallest charging driving distance is selected as the selected charging distance;

[0012] determining whether the selected charging distance is less than the remaining driving distance;

[0013] If the selected charging distance is less than the remaining driving distance, the selected charging location is retrieved based on the selected charging distance, and a preset charging reminder message is output;

[0014] If the selected charging distance is not less than the remaining driving distance, the driving speed of the electric vehicle is obtained;

[0015] Determine the docking location based on driving speed, current driving position, selected charging distance, and actual target distance;

[0016] Determine the docking path according to the docking position, and control the operation of the smart charging vehicle according to the docking path;

[0017] When the smart charging vehicle runs to the docking position, the smart charging vehicle and the electric vehicle are driven to perform charging docking based on the preset clamping device.

[0018] By adopting the above technical solution, the real-time electric energy parameters of the electric vehicle are understood to obtain the remaining driving distance, and the remaining driving distance is compared with the actual target distance, and the remaining driving distance is compared with the selected charging distance. According to the comparison result, the docking position and the docking path are obtained, the smart charging vehicle is controlled to travel to the docking position along the docking path, and the smart charging vehicle is driven by the clamping device to charge and dock with the electric vehicle, so that the smart charging vehicle can charge the electric vehicle during the driving of the electric vehicle, reducing the time users wait for the smart charging vehicle, thereby improving the efficiency of outdoor charging of electric vehicles.

[0019] Optionally, the method before determining the docking position includes:

[0020] Retrieving a vehicle weight value based on vehicle information;

[0021] Matching estimated loss electric energy from a preset loss database based on vehicle weight value, driving speed and selected charging distance;

[0022] Get the number of passengers in the electric vehicle;

[0023] Determine the actual power consumption based on the estimated power consumption and the number of passengers;

[0024] Determine the minimum driving distance based on actual power consumption, driving speed and actual target distance;

[0025] Calculate the deviation distance based on the selected charging distance and the actual target distance;

[0026] Determine whether the deviation distance is greater than the minimum travel distance;

[0027] If the deviation distance is greater than the minimum driving distance, the docking position is determined based on the driving speed, current driving position and selected charging distance;

[0028] If the deviation distance is not greater than the minimum driving distance, the user's selection information is obtained;

[0029] Determine the target charging distance according to the selected information, the selected charging distance and the actual target distance;

[0030] The docking location is determined based on driving speed, current driving position, and target charging distance.

[0031] By adopting the above technical solution, the actual power loss is obtained by understanding the vehicle weight value of the electric vehicle and the number of passengers in the electric vehicle, and the actual power loss, driving speed and actual target distance are analyzed to obtain the minimum driving distance, and then the deviation distance is calculated by selecting the charging distance and the actual target distance, and the minimum driving distance is matched with the deviation distance. Different docking positions are obtained according to the comparison results, so that after the smart charging vehicle moves with the target charging distance, it can move to the charging pile position corresponding to the selected charging distance for charging, thereby facilitating the subsequent resetting of the smart charging vehicle.

[0032] Optionally, a method for determining a docking location based on driving speed, current driving location, and target charging distance:

[0033] Determine the shortest supplementary distance and the intersection position of the shortest supplementary distance and the target charging distance according to the current driving position and each preset charging stop position;

[0034] matching a charging driving speed from a preset driving database based on the driving speed;

[0035] The intersection time is calculated based on the shortest replenishment distance and charging speed;

[0036] Determine the actual driving distance based on the intersection time and driving speed;

[0037] Determine actual driving position based on actual driving distance and target charging distance;

[0038] The intersection deviation vector distance is calculated according to different intersection positions and actual driving positions;

[0039] Arrange the intersection deviation vector distances in reverse order, and select the smallest and positive intersection deviation vector distance from the arranged intersection deviation vector distances as the docking deviation vector distance;

[0040] Based on the actual driving position, the intersection position corresponding to the docking deviation vector distance is retrieved as the docking position.

[0041] By adopting the above technical solution, the actual driving distance is obtained by understanding the intersection position and the intersection time, and the docking deviation vector is obtained by the actual driving distance and the intersection position, and the docking position corresponding to the positive docking deviation vector distance is selected, so that the nearest smart charging vehicle can dock with the electric vehicle, and it is convenient for the smart charging vehicle to drive to the back of the electric vehicle for charging and docking.

[0042] Optionally, the method for driving the smart charging vehicle to charge and dock with the electric vehicle based on the preset clamping device includes:

[0043] When the smart charging vehicle outputs the preset docking information, the socket position and the vehicle weight value are retrieved based on the vehicle information;

[0044] Based on the position of the socket, the clamping device is controlled to clamp the charging plug and insert it into the socket position, and a preset charging prompt message is output;

[0045] Acquire control information used by the electric vehicle to control current output and an actual vector angle when the electric vehicle is traveling;

[0046] Determine the propulsion power based on the vehicle weight and driving speed;

[0047] determining auxiliary control information based on the control information and the driving power;

[0048] When the vehicle receives charging prompt information, the control information output is replaced based on the auxiliary control information, and the operation of the smart charging vehicle is controlled based on the actual vector angle and the implemented power.

[0049] By adopting the above technical solution, the auxiliary control information corresponding to the smart charging vehicle is used to replace the control information of the electric vehicle, so that the electric vehicle can run normally without consuming the electric energy of the electric vehicle while the smart charging vehicle is charging the electric vehicle.

[0050] Optionally, the method after the charging plug is inserted into the socket position includes:

[0051] Obtain image detection information of road surface;

[0052] determining road surface information based on image detection information and a preset different reference road surface image;

[0053] Matching estimated vibration parameters of the vehicle from a preset vibration database based on road surface information and driving speed;

[0054] An image corresponding to a preset vibration abnormality feature is selected based on the image detection information, and the selected image is used as a vibration abnormality image;

[0055] Determine the abnormal vibration location based on the abnormal vibration image and image detection information;

[0056] Determine the change of inflation amount and activation number according to the abnormal vibration image and the abnormal vibration characteristics, and when the abnormal vibration position coincides with the current driving position, control the corresponding inner airbag device to operate based on the activation number and the change of inflation amount;

[0057] Obtaining vehicle driving information in electric vehicles;

[0058] Determine the buffer strength according to the vehicle driving information, driving speed and the preset charging plug weight value;

[0059] The start number is updated according to the buffer strength, and the inflation amount is adjusted based on the buffer strength;

[0060] When the vehicle outputs the vehicle driving information, the corresponding inner airbag device is controlled to operate based on the adjusted inflation amount and the updated activation number.

[0061] By adopting the above technical solution, the vibration condition of the electric vehicle is understood to control the inflation of the inner airbag device corresponding to the activation number, thereby reducing the probability of the charging plug falling off due to the vibration of the electric vehicle during the driving of the electric vehicle.

[0062] Optionally, the method further includes: after the charging plug is inserted into the socket:

[0063] Get the actual humidity value of the surrounding environment;

[0064] When the actual humidity value is greater than the preset reference humidity value and the clamping device clamps the charging plug to the preset reset position, the current inflation volume and inflation time are matched from the preset inflation database according to the actual humidity value;

[0065] Based on the current inflation amount and inflation time, the outer airbag device preset on the inner airbag device is controlled to operate, and the inner airbag device is controlled to be exhausted;

[0066] When the operation time of the external airbag device reaches the inflation time, the operation of the external airbag device is stopped and recovered to continue to control the clamping device to clamp the charging plug to a preset reset position.

[0067] By adopting the above technical solution, the actual humidity value is compared with the reference humidity value, and the current inflation volume and inflation time are obtained based on the comparison result, and the external airbag device is controlled to operate with the current inflation volume and inflation time. When the operating time of the external airbag device reaches the inflation time, the operation of the external airbag device is stopped and recovered to continue to control the clamping device to clamp the charging plug to a preset reset position, thereby reducing the probability of water droplets outside the electric vehicle entering the socket.

[0068] Optionally, the method further includes controlling the operation of a mobile device preset on the smart charging vehicle:

[0069] When the remaining driving distance is greater than the target charging distance, the real-time stored power and current road conditions of the smart charging vehicle are obtained;

[0070] Determine a target docking position and a target moving distance between the current driving position and the target docking position according to the current driving position and the charging docking position;

[0071] Determine the reset speed based on current road conditions;

[0072] Matching the reset loss electric energy from a preset electric energy database based on the target moving distance and the reset speed;

[0073] When the reset power consumption is less than the real-time stored power, a preset prompt message is output to prompt the user to start the electric vehicle so that the control information replaces the auxiliary control information for operation;

[0074] The clamping device is controlled based on the position of the socket to clamp the charging plug to a preset reset position, and the smart charging vehicle is controlled to move to the target docking position based on the path and reset speed corresponding to the target moving distance.

[0075] By adopting the above technical solution, the real-time stored electric energy of the smart charging vehicle and the current road conditions are understood to obtain the reset loss electric energy, and the reset loss electric energy is compared with the real-time stored electric energy. According to the comparison result, a preset prompt information is output and the user is prompted to start the electric vehicle so that the control information replaces the auxiliary control information, and the smart charging vehicle is controlled to move to the target parking position, so that the electric vehicle can drive to the target position and the smart charging vehicle can drive to the charging parking position for reset charging at the same time.

[0076] Optionally, the method of matching the reset power loss after power loss includes:

[0077] When the reset loss electric energy is not less than the real-time storage electric energy and the target charging distance is the selected charging distance, continue to control the connection device preset on the smart charging vehicle to connect with the vehicle and stop running until the smart charging vehicle reaches the selected charging position;

[0078] When the target charging distance is the actual target distance, the maximum charging distance is determined according to the real-time stored electric energy;

[0079] Determine the separation position based on current road conditions;

[0080] Based on the separation position combined with the maximum charging distance to form a reset charging range;

[0081] Selecting a charging pile position within the reset charging range from the charging pile position based on the separation position, and obtaining a corresponding distance based on the charging pile position within the reset charging range and the current driving position, and taking the charging pile position corresponding to the minimum distance as the target charging pile position;

[0082] When the current driving position coincides with the separation position, the intelligent charging vehicle is controlled to run based on the path corresponding to the target charging pile position and the separation position.

[0083] By adopting the above technical solution, by understanding the target charging distance, when the target charging distance is the selected charging distance, the smart charging vehicle continues to be connected to the electric vehicle, so that the smart charging vehicle can be directly driven to move to the charging pile for charging. When the target charging distance is the actual target distance, the separation position and the target charging pile position are obtained through the current road conditions and the charging pile position, and the smart charging vehicle is controlled to run, so that the smart charging vehicle can be moved to the charging pile for charging, and then the smart charging vehicle can have sufficient power to facilitate subsequent movement to the charging docking position.

[0084] In a second aspect, the present application provides an adjustment system for outdoor charging of a vehicle-mounted battery, which adopts the following technical solution:

[0085] An adjustment system for outdoor charging of a vehicle battery, comprising:

[0086] An acquisition module is used to obtain real-time power parameters, current driving position, driving speed, number of passengers, selection information, control information, actual vector angle, image detection information, vehicle driving information, actual humidity value, real-time stored power and current road conditions;

[0087] A memory for storing a program for adjusting a method for outdoor charging of a vehicle battery;

[0088] The processor is used to load, execute and implement the program stored in the memory.

[0089] In a third aspect, the present application provides a smart terminal, which adopts the following technical solution:

[0090] An intelligent terminal comprises a memory and a processor. The memory stores a computer program which can be loaded by the processor and executed by the processor for adjusting a method for outdoor charging of a vehicle battery.

[0091] In summary, the present application includes at least one of the following beneficial technical effects:

[0092] 1. The remaining driving distance is obtained by understanding the real-time electric energy parameters of the electric vehicle, and the remaining driving distance is compared with the actual target distance, and the remaining driving distance is compared with the selected charging distance. The docking position and the docking path are obtained according to the comparison results, and the smart charging vehicle is controlled to travel to the docking position along the docking path, and the smart charging vehicle is driven to charge and dock with the electric vehicle through the clamping device, so that the smart charging vehicle can charge the electric vehicle during the driving of the electric vehicle, reducing the time for users to wait for the smart charging vehicle, thereby improving the efficiency of outdoor charging of electric vehicles;

[0093] 2. The actual power loss is obtained by understanding the vehicle weight value and the number of passengers in the electric vehicle, and the minimum driving distance is obtained by analyzing the actual power loss, driving speed and actual target distance. The deviation distance is then calculated by selecting the charging distance and the actual target distance, and the minimum driving distance is matched with the deviation distance. Different docking positions are obtained according to the comparison results, so that the smart charging vehicle can move to the charging pile position corresponding to the selected charging distance for charging after moving at the target charging distance, thereby facilitating the subsequent resetting of the smart charging vehicle;

[0094] 3. Compare the actual humidity value with the reference humidity value, and obtain the current inflation volume and inflation time based on the comparison result, and control the external airbag device to operate at the current inflation volume and inflation time. When the operation time of the external airbag device reaches the inflation time, stop the operation of the external airbag device and recycle it to continue to control the clamping device to clamp the charging plug to the preset reset position, thereby reducing the probability of water droplets outside the electric vehicle entering the socket. BRIEF DESCRIPTION OF THE DRAWINGS

[0095] Figure 1 is a flow chart of an adjustment method for outdoor charging of a vehicle-mounted battery according to an embodiment of the present invention;

[0096] Figure 2 is a flow chart of a method before determining a docking position according to an embodiment of the present invention;

[0097] Figure 3 is a flow chart of a method for determining a docking position according to a driving speed, a current driving position, and a target charging distance according to an embodiment of the present invention;

[0098] Figure 4 It is a flow chart of a method for driving a smart charging vehicle to charge and dock with an electric vehicle based on a preset clamping device according to an embodiment of the present invention. DETAILED DESCRIPTION

[0099] The present invention is further described in detail below in conjunction with the accompanying drawings and embodiments.

[0100] A method for adjusting outdoor charging of a vehicle-mounted battery charges a moving electric vehicle through a smart charging vehicle, and adjusts the charging condition between the smart charging vehicle and the electric vehicle according to the docking condition, power condition and reset condition of the smart charging vehicle, thereby reducing the time users wait for the smart charging vehicle and improving the efficiency of outdoor charging of electric vehicles.

[0101] Reference Figure 1 The present application embodiment discloses a method for adjusting outdoor charging of a vehicle-mounted battery, comprising the following steps:

[0102] Step S100: Acquire the real-time power parameters, current driving position and target position of the electric vehicle.

[0103] Real-time power parameters refer to the power stored in the electric vehicle in real time. The power corresponding to the electric vehicle is retrieved from the vehicle system preset in the electric vehicle as the real-time power parameters. The current driving position refers to the current driving position of the electric vehicle. The system retrieves the position parameters detected by the GPS preset in the electric vehicle as the current driving position. The target position refers to the position to which the user needs to drive the electric vehicle. The target position is retrieved from the system as the terminal position parameters corresponding to the GPS preset in the electric vehicle. The vehicle system is an intelligent vehicle-mounted equipment system used to realize intelligent management and control of electric vehicles.

[0104] Step S101: when the real-time power parameter is less than the preset benchmark warning power parameter, determining the remaining driving distance according to the real-time power parameter and preset vehicle information.

[0105] Vehicle information refers to information such as the specifications of the electric vehicle and the driving distance corresponding to the electric energy. The vehicle information is set by technical personnel in this field according to actual conditions and will not be elaborated here. The benchmark warning electric energy parameter refers to the benchmark electric energy corresponding to the user's warning of the electric vehicle. The benchmark warning electric energy parameter is set in advance by technical personnel in this field and will not be elaborated here. The remaining driving distance refers to the remaining driving distance of the electric vehicle. When the real-time electric energy parameter is less than the benchmark warning electric energy parameter, it means that the remaining driving distance of the electric vehicle needs to be understood. Therefore, the remaining driving distance is matched from the preset driving database through the real-time electric energy parameter and the vehicle information. The driving database stores the remaining driving distances corresponding to different real-time electric energy parameters in the case of vehicle information. The driving database is a database set by humans and will not be elaborated here.

[0106] Step S102: determining the actual target distance according to the current driving position and the target position.

[0107] The actual target distance refers to the distance that the user needs to drive the electric vehicle to the target location. The actual target distance is obtained by inputting the current driving location and the target location into the preset navigation system to obtain the corresponding distance parameter. The navigation system is a navigation system set on the electric vehicle and used to display parameters such as the path and distance. The navigation system is a mobile travel software and location service software.

[0108] Step S103: When the remaining driving distance is less than the actual target distance, different charging driving distances are determined according to the current driving position and the preset charging pile position, and the different charging driving distances are arranged in reverse order and the smallest charging driving distance is selected as the selected charging distance.

[0109] The charging pile position refers to the location of the charging pile. The charging pile position is set in advance by those skilled in the art and will not be described in detail here. The charging driving distance refers to the distance that the user drives the electric vehicle to each charging pile position. The selected charging distance refers to the distance that the user drives the electric vehicle to the nearest charging pile position. When the remaining driving distance is less than the actual target distance, it means that it is not easy for the user to drive to the target position. Therefore, the current driving position and the positions of each charging pile are output to the navigation system to obtain the corresponding distance parameter as the charging driving distance, and the different charging driving distances are arranged in reverse order and the smallest charging driving distance is selected as the selected charging distance.

[0110] Step S104: Determine whether the selected charging distance is less than the remaining driving distance.

[0111] By determining whether the selected charging distance is less than the remaining driving distance, it is determined whether the user can drive the electric vehicle to the charging pile for charging.

[0112] Step S105: If the selected charging distance is less than the remaining driving distance, the selected charging location is retrieved based on the selected charging distance, and a preset charging reminder message is output.

[0113] Charging reminder information refers to the reminder information used to remind the user that the electric vehicle needs to be charged. The charging reminder information is set in advance by those skilled in the art and will not be described in detail here. When the selected charging distance is less than the remaining driving distance, it means that the user can drive the electric vehicle to the charging pile for charging. Therefore, the corresponding charging pile position is retrieved from each charging pile position as the selected charging position by selecting the charging distance, and the charging reminder information is output to remind the user to drive to the selected charging position to charge the electric vehicle.

[0114] Step S106: If the selected charging distance is not less than the remaining driving distance, the driving speed of the electric vehicle is obtained.

[0115] Driving speed refers to the current speed of the electric vehicle. When the selected charging distance is not less than the remaining driving distance, it means that it is not easy for the user to drive the electric vehicle to the charging pile for charging. Therefore, the speed parameter corresponding to the electric vehicle is retrieved from the vehicle system as the driving speed.

[0116] Step S107: Determine the docking position according to the driving speed, the current driving position, the selected charging distance and the actual target distance.

[0117] The docking position refers to the position where the smart charging vehicle and the electric vehicle are docked for charging. The docking position is obtained by analyzing the driving speed, current driving position, selected charging distance and actual target distance. For specific operations, refer to steps S200 to S307.

[0118] Step S108: Determine a docking path according to the docking position, and control the operation of the smart charging vehicle according to the docking path.

[0119] The docking path refers to the path that the smart charging vehicle travels from the preset charging docking position to the corresponding docking position. The charging docking position refers to the position where the smart charging vehicle is docked for charging. The charging docking position is set in advance by those skilled in the art and will not be described in detail here. The docking position and the charging docking position are input into the navigation system to obtain the corresponding path parameters as the docking path, and the smart charging vehicle is controlled to travel along the docking path.

[0120] Step S109: When the smart charging vehicle moves to the docking position, the smart charging vehicle is driven to dock with the electric vehicle based on a preset clamping device.

[0121] The clamping device refers to a manipulator used to clamp the charging plug on the smart charging vehicle and insert the charging plug into the socket on the electric vehicle. When the smart charging vehicle runs to the docking position, it means that the smart charging vehicle and the electric vehicle can be docked, so the smart charging vehicle is driven by the clamping device to charge and dock with the electric vehicle. The specific docking method refers to steps S400 to S405. In this embodiment, the smart charging vehicle is connected to the rear of the electric vehicle through a preset connecting device, and the smart charging vehicle drives the electric vehicle to travel. The connecting device refers to a device that can achieve angle change and is used to connect the smart charging vehicle to the rear of the electric vehicle. The connecting device includes a universal joint and other devices, so that the smart charging vehicle can be connected to the electric vehicle during the driving of the electric vehicle to facilitate the smart charging vehicle to charge the electric vehicle, and promote the driving of the electric vehicle, thereby improving the efficiency of outdoor charging of the electric vehicle.

[0122] Reference Figure 2 , the methods before determining the docking position include:

[0123] Step S200: Retrieve the vehicle weight value based on the vehicle information.

[0124] The vehicle weight value refers to the weight value corresponding to the electric vehicle, and the weight value of the electric vehicle is retrieved from the vehicle information as the vehicle weight value.

[0125] Step S201: Matching the estimated power loss from a preset power loss database based on the vehicle weight, driving speed and selected charging distance.

[0126] The estimated loss of electric energy refers to the estimated loss of electric energy per unit time when the smart charging vehicle moves the electric vehicle corresponding to the vehicle weight value at the driving speed and the selected charging distance. The driving time is calculated by calculating the quotient of the selected charging distance and the driving speed, and then the vehicle weight value and the driving time are used to match the estimated loss of electric energy per unit time from the preset loss database. The loss database stores the estimated loss of electric energy per unit time corresponding to the vehicle weight value and the driving time. The loss database is a manually set database and will not be described in detail here. In this embodiment, when the user needs a smart charging vehicle, he first understands the user's vehicle model and the number of people riding.

[0127] Step S202: Obtain the number of passengers in the electric vehicle.

[0128] The number of passengers refers to the number of people riding in the electric vehicle. The number of passengers is obtained by retrieving the number parameter input by the user from the system as the number of passengers. The number of passengers does not include the user.

[0129] Step S203: Determine the actual power consumption according to the estimated power consumption and the number of passengers.

[0130] The actual loss of electric energy refers to the electric energy lost per unit time by the electric vehicle when the smart charging vehicle pushes the vehicle weight and the number of passengers at the driving speed and selected charging distance. The actual loss of electric energy is matched from the loss database by estimating the loss of electric energy and the number of passengers. The loss database also stores different estimated loss of electric energy and actual loss of electric energy corresponding to the number of passengers, which will not be elaborated here.

[0131] Step S204: Determine the minimum driving distance according to the actual power consumption, driving speed and actual target distance.

[0132] The minimum driving distance refers to the minimum distance that the smart charging vehicle can drive the electric vehicle to the target location. The quotient of the driving speed and the actual target distance is calculated as the driving time, and the minimum driving distance is matched from the loss database through the actual power loss and driving time. The loss database also stores the minimum driving distances corresponding to different actual power loss and driving time, which will not be described here.

[0133] Step S205: Calculate the deviation distance according to the selected charging distance and the actual target distance.

[0134] The deviation distance refers to the deviation value between the selected charging distance and the actual target distance. The difference between the selected charging distance and the actual target distance is calculated and the difference is used as the deviation distance.

[0135] Step S206: Determine whether the deviation distance is greater than the minimum driving distance.

[0136] By determining whether the deviation distance is greater than the minimum driving distance, it is determined whether the smart charging vehicle can return to the nearest charging pile for charging when driving the electric vehicle to the target location.

[0137] Step S207: If the deviation distance is greater than the minimum driving distance, the docking position is determined according to the driving speed, the current driving position and the selected charging distance.

[0138] When the deviation distance is greater than the minimum driving distance, it means that it is not easy for the smart charging vehicle to drive the electric vehicle to the target location and return to the nearest charging pile for charging. Therefore, the docking position is obtained by analyzing the driving speed, current driving position and selected charging distance.

[0139] Step S208: If the deviation distance is not greater than the minimum driving distance, the user's selection information is obtained.

[0140] The selection information refers to the information that the user selects the selected charging distance or the actual target distance for driving. When the deviation distance is not greater than the minimum driving distance, it means that the smart charging vehicle can easily drive the electric vehicle to the target location and return to the nearest charging pile for charging. Therefore, the information triggered by the user's click is retrieved from the system as the selection information.

[0141] Step S209: Determine the target charging distance according to the selected information, the selected charging distance and the actual target distance.

[0142] The target charging distance refers to the distance that the user needs to travel, and the selected charging distance or the actual target distance is selected as the target charging distance by selecting information.

[0143] Step S210: Determine the docking position according to the driving speed, the current driving position and the target charging distance.

[0144] Consistent with step S107, the specific operation steps refer to steps S300 to S307.

[0145] Reference Figure 3 , a method for determining the docking location based on the driving speed, current driving position, and target charging distance:

[0146] Step S300: Determine the shortest supplementary distance and the intersection position of the shortest supplementary distance on the target charging distance according to the current driving position and each preset charging stop position.

[0147] The shortest supplementary distance refers to the shortest distance that the smart charging vehicle can travel to the current driving position for charging and docking with the electric vehicle. The distance parameters between the current driving position and each charging stop position obtained through the navigation system are used as the shortest supplementary distance. The intersection position refers to the position at the target charging distance reached by the smart charging vehicle when it travels the shortest supplementary distance. The current driving position on the path corresponding to each shortest supplementary distance and the target charging distance is used as the intersection position.

[0148] Step S301: Matching the charging driving speed from a preset driving database based on the driving speed.

[0149] The charging driving speed refers to the speed at which the smart charging vehicle is driven. The charging driving speed is matched from a preset driving database through the driving speed. The driving database stores charging driving speeds corresponding to different driving speeds. The driving database is a database set by humans and will not be described in detail here.

[0150] Step S302: Calculate the intersection time according to the shortest replenishment distance and the charging driving speed.

[0151] The intersection time refers to the time it takes for a smart charging vehicle to travel the shortest supplementary distance to the path corresponding to the target charging distance. The quotient of the shortest supplementary distance and the charging driving speed is calculated, and the quotient value is used as the intersection time.

[0152] Step S303: Determine the actual driving distance according to the intersection time and the driving speed.

[0153] The actual driving distance refers to the actual distance traveled by the electric vehicle at the driving speed within the intersection time. The product value between the intersection time and the driving speed is calculated and the product value is used as the actual driving distance.

[0154] Step S304: Determine the actual driving position based on the actual driving distance and the target charging distance.

[0155] The actual driving position refers to the position of the electric vehicle after the electric vehicle has traveled the actual driving distance on the path corresponding to the selected charging distance. The actual driving position is the position reached after extending the actual driving distance on the target charging distance based on the current driving position.

[0156] Step S305: Calculate the intersection deviation vector distance according to different intersection positions and actual driving positions.

[0157] The intersection deviation vector distance refers to the vector deviation distance between the intersection position and the actual driving position. The intersection position and the actual driving position are input into the navigation system to obtain the corresponding distance parameter as the intersection deviation vector distance.

[0158] Step S306: Arrange the intersection deviation vector distances in reverse order, and select the smallest and positive intersection deviation vector distance from the arranged intersection deviation vector distances as the docking deviation vector distance.

[0159] The docking deviation vector distance refers to the actual vector deviation distance for docking between the smart charging vehicle and the electric vehicle. By arranging the intersection deviation vector distances in reverse order and selecting the intersection deviation vector distance with the smallest positive value from the arranged intersection deviation vector distances as the docking deviation vector distance, the probability that the smart charging vehicle is not easy to drive behind the electric vehicle due to traffic flow can be reduced. In this embodiment, the intersection deviation vector distance corresponding to the intersection position at the target charging distance and after the actual driving position is a negative value, and the intersection deviation vector distance corresponding to the intersection position before the actual driving position is a positive value.

[0160] Step S307: based on the actual driving position, the intersection position corresponding to the docking deviation vector distance is retrieved as the docking position.

[0161] By taking the actual driving position as the basis and the intersection position corresponding to the docking deviation vector distance as the docking position, it is convenient for the smart charging vehicle to drive behind the electric vehicle for charging and docking.

[0162] Reference Figure 4 The method for driving the smart charging vehicle to charge and dock with the electric vehicle based on the preset clamping device includes:

[0163] Step S400: When the smart charging vehicle outputs the preset docking information, the socket position and the vehicle weight value are retrieved based on the vehicle information.

[0164] The docking information refers to the information output when the smart charging vehicle and the electric vehicle are docked. The docking information is set in advance by a person skilled in the art and will not be described in detail here. The socket position refers to the position corresponding to the socket on the electric vehicle for the charging plug to be inserted, and the socket position is retrieved from the vehicle information.

[0165] Step S401: Based on the socket position, the clamping device is controlled to clamp the charging plug and insert it into the socket position, and a preset charging prompt message is output.

[0166] The clamping device is controlled to clamp the charging plug and insert it into the socket position, and a charging prompt message is output to prompt the user that the smart charging vehicle charges the electric vehicle.

[0167] Step S402: Acquire control information used by the electric vehicle to control current output and an actual vector angle when the electric vehicle is traveling.

[0168] Control information refers to system information corresponding to the current output required to control the speed of the electric vehicle and the power assist system. Control information includes system information corresponding to the electric power steering system, drive motor system, battery management system and energy recovery system. Control information is formed by combining the parameter information corresponding to the electric vehicle from the system. The actual vector angle refers to the vector angle corresponding to the rotation of the steering wheel in the electric vehicle. The parameter detected by the angle sensor preset on the steering wheel is used as the actual vector angle, and the actual vector angle can be 0.

[0169] Step S403: Determine the propulsion power based on the vehicle weight and the driving speed.

[0170] The push power refers to the power output when the smart charging vehicle pushes the electric vehicle to maintain the driving speed. The push power is matched from the preset push database through the vehicle weight value and the driving speed. The push database stores the push power corresponding to different vehicle weight values ​​and driving speeds. The push database is a database set by humans and will not be described in detail here.

[0171] Step S404: Determine auxiliary control information based on the control information and the implementation power.

[0172] Auxiliary control information refers to the system information corresponding to the control current output of the smart charging vehicle's auxiliary control of the electric vehicle's driving speed and the power auxiliary system. Since the current output by the speed of the electric vehicle when it is driving is different from the current output by the smart charging vehicle when it pushes the electric vehicle to drive, the auxiliary control information is matched from the promotion database through control information and promotion power. The promotion database stores auxiliary control information corresponding to different control information and promotion power.

[0173] Step S405: When the vehicle receives the charging reminder information, the control information output is replaced based on the auxiliary control information, and the operation of the smart charging vehicle is controlled based on the actual vector angle and the driving power.

[0174] When the vehicle receives the charging prompt information, it means that the smart charging car needs to push the electric car to drive. Therefore, the smart charging car inputs auxiliary control information to the electric car to replace the control information output, and controls the operation of the smart charging car based on the actual vector angle and the pushing power. In this way, the electric car can drive normally while the smart charging car is charging the electric car without consuming the electric energy of the electric car.

[0175] The method after the charging plug is inserted into the socket position includes:

[0176] Step S500: Acquire image detection information of the road surface.

[0177] The image detection information refers to the image of the road surface on which the electric vehicle is traveling, which is captured by cameras preset on each road surface to capture the image of the road surface corresponding to the current driving position.

[0178] Step S501: determining road surface information according to image detection information and a preset different reference road surface image.

[0179] The reference road surface image refers to the image corresponding to the road surface paved with a single material. The reference road surface image is taken in advance by a person skilled in the art and will not be described in detail here. The road surface information refers to the information such as the material paved corresponding to the road surface. The image detection information is matched and compared with different reference road surface images, and the material information corresponding to the image detection information is used as the road surface information. The road surface information includes asphalt road surface, cement road surface, gravel road surface, etc.

[0180] Step S502: matching the estimated vibration parameters of the vehicle from a preset vibration database based on the road surface information and the driving speed.

[0181] The estimated vibration parameters refer to the estimated parameters of vibration generated when the electric vehicle is traveling at a driving speed on the road surface information. The estimated vibration parameters of the vehicle are matched from a preset vibration database through the road surface information and the driving speed. The vibration database stores the estimated vibration parameters corresponding to different road surface information and driving speeds.

[0182] Step S503: based on the image detection information, an image corresponding to a preset vibration abnormality feature is selected by frame, and the selected image is used as a vibration abnormality image.

[0183] Abnormal vibration features refer to abnormal features on the road surface that cause the electric vehicle to vibrate. Abnormal vibration features include speed bumps, potholes, road cracks, etc. The abnormal vibration features are set in advance by those skilled in the art and will not be described in detail here. Abnormal vibration images refer to images corresponding to abnormal vibration features. The images corresponding to abnormal vibration features are selected from the image detection information as abnormal vibration images.

[0184] Step S504: determining the vibration abnormality position according to the vibration abnormality image and the image detection information.

[0185] The abnormal vibration position refers to the position on the road surface where the abnormal vibration feature appears. The position selected by the frame corresponding to the abnormal vibration image and the image detection information is used as the abnormal vibration position.

[0186] Step S505: Determine the change of inflation amount and activation number according to the abnormal vibration image and the abnormal vibration characteristics, and when the abnormal vibration position coincides with the current driving position, control the operation of the corresponding inner airbag device based on the activation number and the change of inflation amount.

[0187] Changing the inflation amount refers to the inflation amount corresponding to the changed internal airbag device. The inflation amount is changed by matching the abnormal vibration image and the abnormal vibration characteristics from the preset inflation database. The internal airbag device refers to the airbag arranged on the circumferential outer wall of the charging plug, and the air pump preset on the smart charging vehicle is used to continuously inflate the internal airbag device through the electric energy control on the smart charging vehicle. The internal airbag device is arranged on the top, bottom, left and right of the charging plug, and each internal airbag device is numbered. The start-up number refers to the number corresponding to the internal airbag device that is inflated by changing the inflation amount. Since the abnormal vibration characteristics generally cause the electric vehicle to vibrate up and down, the start-up number includes the internal airbag devices arranged above and below the charging plug.

[0188] Step S506: Acquire the vehicle driving information in the electric vehicle.

[0189] Vehicle driving information refers to information such as acceleration or deceleration of an electric vehicle during driving. The vehicle driving information is formed by combining the current corresponding to the speed of the vehicle retrieved from the system and the information detected by the pressure sensor preset on the brake of the electric vehicle.

[0190] Step S507: Determine the buffer strength according to the vehicle driving information, driving speed and a preset charging plug weight value.

[0191] The charging plug weight value refers to the weight value corresponding to the charging plug. The charging plug weight value is set in advance by a person skilled in the art and will not be described in detail here. The buffering strength refers to the buffering strength required by the charging plug when the electric vehicle is traveling at the driving speed and accelerating or braking to decelerate. The buffering strength is matched from the preset inflation database through the vehicle driving information, driving speed and charging plug. The inflation database also stores the buffering strength corresponding to driving at different driving speeds and charging plug weight values ​​under the vehicle driving information. The inflation database is a database set by humans and will not be described in detail here.

[0192] Step S508: updating the activation number according to the buffer strength, and adjusting the inflation amount based on the buffer strength.

[0193] When the electric vehicle accelerates and decelerates, the charging plug vibrates left and right due to inertia, so the start number is updated to the number of the airbag device corresponding to the left and right of the charging plug. Adjusting the inflation volume refers to the inflation volume of the corresponding airbag device after adjustment. The inflation volume is adjusted by matching the buffer strength from the inflation database. The inflation database also stores the adjusted inflation volume corresponding to different buffer strengths, which will not be repeated here.

[0194] Step S509: When the vehicle outputs the vehicle driving information, the corresponding inner airbag device is controlled to operate based on the adjusted inflation amount and the updated activation number.

[0195] When the vehicle outputs the vehicle driving information, it indicates that the electric vehicle is accelerating or decelerating, so the internal airbag device with the updated activation number is controlled to adjust the inflation volume, thereby reducing the probability of the charging plug falling off due to the vibration of the electric vehicle during the driving of the electric vehicle.

[0196] Also included is a method after the charging plug is inserted into the socket position:

[0197] Step S600: Acquire the actual humidity value of the surrounding environment.

[0198] The actual humidity value refers to the humidity value of the environment surrounding the electric vehicle, and the parameter detected by the humidity sensor preset on the smart charging vehicle is used as the actual humidity value.

[0199] Step S601: When the actual humidity value is greater than the preset reference humidity value and the clamping device clamps the charging plug to the preset reset position, the current inflation volume and inflation time are matched from the preset inflation database according to the actual humidity value.

[0200] The reference humidity value refers to the maximum humidity value corresponding to when it is about to rain. The reference humidity value is set in advance by a person skilled in the art and will not be described in detail here. When the actual humidity value is not greater than the reference humidity value, it means that it is not raining around, so continue to obtain the actual humidity value. The reset position refers to the position where the charging plug is reset to the smart charging vehicle. The reset position is set in advance by a person skilled in the art and will not be described in detail here.

[0201] The current inflation volume refers to the inflation volume corresponding to the outer airbag device, and the inflation time refers to the time to inflate the outer airbag device. When the actual humidity value is greater than the reference humidity value, it means that it is raining around, and when the clamping device clamps the charging plug to the reset position, it means that when the clamping device unplugs the charging plug, water droplets on the electric vehicle flow to the socket. Therefore, the current inflation volume and inflation time are matched from the inflation database through the actual humidity value. The inflation database also stores the current inflation volume and inflation time corresponding to different actual humidity values, which will not be described here. The outer airbag device refers to a leather case that is mounted on the inner airbag device and has multiple exhaust holes for exhaust in the circumferential direction. The air discharged from the exhaust holes can be blown around the interface.

[0202] Step S602: Based on the current inflation amount and inflation time, the outer airbag device preset on the inner airbag device is controlled to operate, and the inner airbag device is controlled to exhaust.

[0203] The operation of the outer airbag device is controlled by the current inflation volume and inflation time, and the exhaust of the inner airbag device is controlled, so that while the exhaust of the inner airbag device is facilitated, the exhaust holes of the outer airbag device can blow air outward to blow away water droplets around the interface.

[0204] Step S603: When the operation time of the external airbag device reaches the inflation time, the operation of the external airbag device is stopped and recovered to continue to control the clamping device to clamp the charging plug to a preset reset position.

[0205] When the operation time of the outer airbag device reaches the inflation time, it means that the gas discharged from the exhaust hole on the outer airbag device can blow away the water droplets around the interface, so the operation of the inner airbag device is stopped and the inner and outer airbag devices are recovered to continue to control the clamping device to clamp the charging plug to the reset position, thereby reducing the probability of water droplets entering the electric vehicle socket.

[0206] Also included is a method for controlling the operation of a mobile device preset on a smart charging vehicle:

[0207] Step S700: When the remaining driving distance is greater than the target charging distance, the real-time stored power of the smart charging vehicle and the current road conditions are obtained.

[0208] Real-time stored electric energy refers to the electric energy stored in the smart charging vehicle. The current road condition refers to the range of driving speeds, traffic volume, and lanes on the road surface where the smart charging vehicle is currently located. When the remaining driving distance is greater than the target charging distance, it means that the electric vehicle can travel to the charging pile position or the target position. Therefore, the electric energy parameters corresponding to the smart charging vehicle are retrieved from the system as the real-time stored electric energy, and the range of driving speeds, traffic volume, and lanes on the road surface corresponding to the current driving position are retrieved and combined to form the current road condition.

[0209] Step S701: determining a target docking position and a target moving distance between the current driving position and the target docking position according to the current driving position and the charging docking position.

[0210] The target docking position refers to the position where the smart charging vehicle needs to dock after charging the electric vehicle. The current driving position and each charging docking position are input into the navigation system to obtain different distance parameters, and the charging docking position corresponding to the smallest distance parameter is selected as the target docking position, and the distance parameter corresponding to the target docking position is used as the target moving distance.

[0211] Step S702: Determine the reset speed according to the current road condition.

[0212] The reset speed refers to the speed corresponding to the smart charging vehicle moving to the target parking position. The reset speed is matched from the preset reset database according to the current road conditions. The reset database stores the speeds corresponding to different road conditions. The reset database is a database set by humans and will not be described in detail here.

[0213] Step S703: matching the reset power consumption from a preset power database based on the target moving distance and the reset speed.

[0214] Reset loss electric energy refers to the electric energy consumed by the smart charging vehicle when traveling at the target moving distance and reset speed. The reset loss electric energy is matched from the preset electric energy database through the target moving distance and reset speed. The electric energy database stores reset loss electric energy corresponding to different target moving distances and reset speeds. The electric energy database is a database set by humans and will not be described in detail here.

[0215] Step S704: when the reset power consumption is less than the real-time stored power, output a preset prompt message to prompt the user to start the electric vehicle so that the control information replaces the auxiliary control information.

[0216] The prompt information refers to the information that prompts the user to complete charging and start the vehicle. The prompt information is set in advance by those skilled in the art and will not be described in detail here. When the reset loss energy is less than the real-time storage energy, it means that the smart charging vehicle can move from the current driving position to the target parking position, so the preset prompt information is output to prompt the user to start the car so that the control information replaces the auxiliary control information.

[0217] Step S705: Based on the position of the socket, the clamping device is controlled to clamp the charging plug to a preset reset position, and based on the path corresponding to the target moving distance and the reset speed, the smart charging vehicle is controlled to move to the target docking position.

[0218] By controlling the clamping device to clamp the charging plug at the socket position to the reset position, and by controlling the smart charging vehicle to travel along the path and reset speed corresponding to the target moving distance until the smart charging vehicle moves to the target docking position, the smart charging vehicle can drive to the charging docking position for charging while the electric car can drive to the target position.

[0219] Methods for matching the post-reset loss energy include:

[0220] Step S800: When the reset loss power is not less than the real-time storage power and the target charging distance is the selected charging distance, continue to control the connection device preset on the smart charging vehicle to connect with the vehicle and stop running until the smart charging vehicle reaches the selected charging position.

[0221] When the reset loss energy is not less than the real-time stored energy, it means that the smart charging vehicle is not easy to move from the current driving position to the target parking position, and when the target charging distance is the selected charging distance, it means that the smart charging vehicle can drive directly to the charging pile position for energy replenishment, so the connection device continues to be controlled to connect with the vehicle and stop running until the smart charging vehicle reaches the selected charging position.

[0222] Step S801: when the target charging distance is the actual target distance, determining the maximum charging distance according to the real-time stored electric energy.

[0223] The maximum charging distance refers to the maximum distance that a smart charging vehicle can travel to a charging pile. When the target charging distance is the actual target distance, it means that it is not easy for the smart charging vehicle to move from the current driving position to the target parking position. Therefore, the maximum charging distance is matched from the electric energy database through real-time storage of electric energy. The electric energy database stores the maximum charging distances corresponding to different real-time storage of electric energy. The electric energy database is a database set by humans and will not be elaborated here.

[0224] Step S802: Determine the separation position based on the current road condition.

[0225] The separation position refers to the position where the smart charging vehicle is separated from the electric vehicle. Since the smart charging vehicle needs to drive and turn according to the lane conditions, the lane position corresponding to the lane change in the current road conditions is used as the separation position.

[0226] Step S803: combining the separation position with the maximum charging distance to form a reset charging range.

[0227] The reset charging range refers to the range where the smart charging vehicle can move to the charging pile position for charging to facilitate the subsequent resetting of the smart charging vehicle to the charging docking position. The range formed by combining the separation position as the center and the path corresponding to the maximum charging distance as the radius is used as the reset charging range.

[0228] Step S804: Select the charging pile position within the reset charging range from the charging pile positions based on the separation position, and obtain the corresponding distance based on the charging pile position within the reset charging range and the current driving position, and use the charging pile position corresponding to the minimum distance as the target charging pile position.

[0229] The target charging pile position refers to the charging pile position to which the smart charging vehicle needs to move. The charging pile position within the reset charging range is selected from each charging pile position, and the charging pile position and the separation position are input into the navigation system to obtain the distance parameters of the corresponding path, and the charging pile position corresponding to the minimum distance is used as the target charging pile position.

[0230] Step S805: When the current driving position coincides with the separation position, the intelligent charging vehicle is controlled to run based on the path corresponding to the target charging pile position and the separation position.

[0231] If the current driving position coincides with the separation position, it means that the smart charging vehicle can be separated. Therefore, the smart charging vehicle is controlled to run based on the path corresponding to the target charging pile position and the separation position, so that the smart charging vehicle can move to the charging pile for charging, and then the smart charging vehicle can have sufficient power to facilitate subsequent movement to the charging docking position.

[0232] Based on the same inventive concept, an embodiment of the present invention provides an adjustment system for outdoor charging of a vehicle-mounted battery, comprising:

[0233] The acquisition module is used to obtain real-time power parameters, current driving position, driving speed, number of passengers, selection information, control information, actual vector angle, image detection information, vehicle driving information, actual humidity value, real-time stored power and current road conditions.

[0234] A memory is used to store a program for adjusting a method for outdoor charging of a vehicle-mounted battery.

[0235] The processor is used to load, execute and implement the program stored in the memory.

[0236] Based on the same inventive concept, an embodiment of the present invention provides an intelligent terminal, including a memory and a processor, wherein the memory stores a computer program that can be loaded by the processor and executes a method for adjusting outdoor charging of a vehicle battery.

[0237] Those skilled in the art can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional modules is used as an example. In actual applications, the above-mentioned functions can be assigned to different functional modules as needed, that is, the internal structure of the device is divided into different functional modules to complete all or part of the functions described above. The specific working process of the system, device and unit described above can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here.

[0238] The above is only a preferred embodiment of the present invention, and the protection scope of the present invention is not limited to the above embodiments. All technical solutions under the concept of the present invention belong to the protection scope of the present invention. It should be pointed out that for ordinary technicians in this technical field, some improvements and modifications without departing from the principle of the present invention should also be regarded as the protection scope of the present invention.

Claims

1. A method for adjusting outdoor charging of a vehicle battery, characterized in that: include: Obtain the real-time power parameters, current driving position and target position of the electric vehicle; When the real-time power parameter is less than the preset benchmark warning power parameter, the remaining driving distance is determined according to the real-time power parameter and the preset vehicle information; Determine the actual target distance based on the current driving position and the target position; When the remaining driving distance is less than the actual target distance, different charging driving distances are determined according to the current driving position and the preset charging pile position, and the different charging driving distances are arranged in reverse order and the smallest charging driving distance is selected as the selected charging distance; determining whether the selected charging distance is less than the remaining driving distance; If the selected charging distance is less than the remaining driving distance, the selected charging location is retrieved based on the selected charging distance, and a preset charging reminder message is output; If the selected charging distance is not less than the remaining driving distance, the driving speed of the electric vehicle is obtained; Determine the docking location based on driving speed, current driving position, selected charging distance, and actual target distance; Determine the docking path according to the docking position, and control the operation of the smart charging vehicle according to the docking path; When the smart charging vehicle runs to the docking position, the smart charging vehicle and the electric vehicle are driven to perform charging docking based on the preset clamping device.

2. The method for adjusting outdoor charging of a vehicle-mounted battery according to claim 1, characterized in that: Previous methods for determining docking position include: Retrieving a vehicle weight value based on vehicle information; Matching estimated loss electric energy from a preset loss database based on vehicle weight value, driving speed and selected charging distance; Get the number of passengers in the electric vehicle; Determine the actual power consumption based on the estimated power consumption and the number of passengers; Determine the minimum driving distance based on actual power consumption, driving speed and actual target distance; Calculate the deviation distance based on the selected charging distance and the actual target distance; Determine whether the deviation distance is greater than the minimum travel distance; If the deviation distance is greater than the minimum driving distance, the docking position is determined based on the driving speed, current driving position and selected charging distance; If the deviation distance is not greater than the minimum driving distance, the user's selection information is obtained; Determine the target charging distance according to the selected information, the selected charging distance and the actual target distance; The docking location is determined based on driving speed, current driving position, and target charging distance.

3. The method for adjusting outdoor charging of a vehicle-mounted battery according to claim 2, characterized in that: Method for determining the docking location based on driving speed, current driving location, and target charging distance: Determine the shortest supplementary distance and the intersection position of the shortest supplementary distance and the target charging distance according to the current driving position and each preset charging stop position; matching a charging driving speed from a preset driving database based on the driving speed; The intersection time is calculated based on the shortest replenishment distance and charging speed; Determine the actual driving distance based on the intersection time and driving speed; Determine actual driving position based on actual driving distance and target charging distance; The intersection deviation vector distance is calculated according to different intersection positions and actual driving positions; Arrange the intersection deviation vector distances in reverse order, and select the smallest and positive intersection deviation vector distance from the arranged intersection deviation vector distances as the docking deviation vector distance; Based on the actual driving position, the intersection position corresponding to the docking deviation vector distance is retrieved as the docking position.

4. The method for adjusting outdoor charging of a vehicle-mounted battery according to claim 1, characterized in that: The method for driving the smart charging vehicle to charge and dock with the electric vehicle based on the preset clamping device includes: When the smart charging vehicle outputs the preset docking information, the socket position and the vehicle weight value are retrieved based on the vehicle information; Based on the position of the socket, the clamping device is controlled to clamp the charging plug and insert it into the socket position, and a preset charging prompt message is output; Acquire control information used by the electric vehicle to control current output and an actual vector angle when the electric vehicle is traveling; Determine the propulsion power based on the vehicle weight and driving speed; determining auxiliary control information based on the control information and the driving power; When the vehicle receives charging prompt information, the control information output is replaced based on the auxiliary control information, and the operation of the smart charging vehicle is controlled based on the actual vector angle and the implemented power.

5. The method for adjusting outdoor charging of a vehicle-mounted battery according to claim 4, characterized in that: The method after the charging plug is inserted into the socket position includes: Obtain image detection information of road surface; determining road surface information based on image detection information and a preset different reference road surface image; Matching estimated vibration parameters of the vehicle from a preset vibration database based on road surface information and driving speed; An image corresponding to a preset vibration abnormality feature is selected based on the image detection information, and the selected image is used as a vibration abnormality image; Determine the abnormal vibration location based on the abnormal vibration image and image detection information; Determine the change of inflation amount and activation number according to the abnormal vibration image and the abnormal vibration characteristics, and when the abnormal vibration position coincides with the current driving position, control the corresponding inner airbag device to operate based on the activation number and the change of inflation amount; Obtaining vehicle driving information in electric vehicles; Determine the buffer strength according to the vehicle driving information, driving speed and the preset charging plug weight value; The start number is updated according to the buffer strength, and the inflation amount is adjusted based on the buffer strength; When the vehicle outputs the vehicle driving information, the corresponding inner airbag device is controlled to operate based on the adjusted inflation amount and the updated activation number.

6. The method for adjusting outdoor charging of a vehicle-mounted battery according to claim 5, characterized in that: Also included is a method after the charging plug is inserted into the socket position: Get the actual humidity value of the surrounding environment; When the actual humidity value is greater than the preset reference humidity value and the clamping device clamps the charging plug to the preset reset position, the current inflation volume and inflation time are matched from the preset inflation database according to the actual humidity value; Based on the current inflation amount and inflation time, the outer airbag device preset on the inner airbag device is controlled to operate, and the inner airbag device is controlled to exhaust; When the operation time of the external airbag device reaches the inflation time, the operation of the external airbag device is stopped and recovered to continue to control the clamping device to clamp the charging plug to a preset reset position.

7. The method for adjusting outdoor charging of a vehicle-mounted battery according to claim 4, characterized in that: Also included is a method for controlling the operation of a mobile device preset on a smart charging vehicle: When the remaining driving distance is greater than the target charging distance, the real-time stored power and current road conditions of the smart charging vehicle are obtained; Determine a target docking position and a target moving distance between the current driving position and the target docking position according to the current driving position and the charging docking position; Determine the reset speed based on current road conditions; Matching the reset loss electric energy from a preset electric energy database based on the target moving distance and the reset speed; When the reset power consumption is less than the real-time stored power, a preset prompt message is output to prompt the user to start the electric vehicle so that the control information replaces the auxiliary control information for operation; The clamping device is controlled based on the position of the socket to clamp the charging plug to a preset reset position, and the smart charging vehicle is controlled to move to the target docking position based on the path and reset speed corresponding to the target moving distance.

8. The method for adjusting outdoor charging of a vehicle-mounted battery according to claim 7, characterized in that: Methods for matching the post-reset loss energy include: When the reset loss electric energy is not less than the real-time storage electric energy and the target charging distance is the selected charging distance, continue to control the connection device preset on the smart charging vehicle to connect with the vehicle and stop running until the smart charging vehicle reaches the selected charging position; When the target charging distance is the actual target distance, the maximum charging distance is determined according to the real-time stored electric energy; Determine the separation position based on current road conditions; Based on the separation position combined with the maximum charging distance to form a reset charging range; Selecting a charging pile position within the reset charging range from the charging pile position based on the separation position, and obtaining a corresponding distance based on the charging pile position within the reset charging range and the current driving position, and taking the charging pile position corresponding to the minimum distance as the target charging pile position; When the current driving position coincides with the separation position, the intelligent charging vehicle is controlled to run based on the path corresponding to the target charging pile position and the separation position.

9. An adjustment system for outdoor charging of a vehicle battery, characterized in that: include: An acquisition module is used to obtain real-time power parameters, current driving position, driving speed, number of passengers, selection information, control information, actual vector angle, image detection information, vehicle driving information, actual humidity value, real-time stored power and current road conditions; A memory for storing a program of a method for adjusting outdoor charging of a vehicle-mounted battery according to any one of claims 1 to 8; The processor is used to load, execute and implement the program stored in the memory.

10. An intelligent terminal, characterized in that: The invention comprises a memory and a processor, wherein the memory stores a computer program which can be loaded by the processor and executes a method for adjusting outdoor charging of a vehicle-mounted battery as claimed in any one of claims 1 to 8.

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