Efficient electric power rescue method and device for electric vehicle and computer equipment

Abstract

The invention relates to an efficient electric power rescue method and device for an electric vehicle and computer equipment. The method comprises the following steps: acquiring current electric quantity information and regional power distribution information of a local vehicle to be rescued, and identifying an electric quantity state of the local vehicle; collecting vehicle position information and vehicle electric quantity information of each initial adaptive vehicle in a target area range, and screening each adaptive vehicle from each initial adaptive vehicle based on the vehicle electric quantity information of each initial adaptive vehicle, the current electric quantity information and the area current distribution information; electric quantity rescue feedback information sent by the adaptive vehicles is received, and a target emergency rescue strategy of a target adaptive vehicle is generated based on the electric quantity rescue feedback information; and based on the target emergency rescue strategy, guiding the target vehicle to carry out electric quantity emergency rescue on the local vehicle. By adopting the method, the emergency power rescue efficiency of the electric vehicle can be effectively improved.

Description

Technical Field

[0001] The present application relates to the field of remote communication and intelligent rescue technology, and in particular to a method, device, computer equipment, computer-readable storage medium and computer program product for efficient power rescue of electric vehicles. Background Art

[0002] At present, the convenience of recharging electric vehicles has not met the expectations of users. Some users are unable to recharge nearby in extreme working conditions, such as crowded charging piles in highway service areas, camping in the wild, etc., which leads to the vehicle running out of power and being unable to move or not enough to move to the destination. There is no power equipment nearby to help, so they can only call for help on their mobile phones to tow the car away for recharging, which is time-consuming and has a poor experience. Therefore, how to improve the emergency power rescue effect of electric vehicles is the current research focus.

[0003] The traditional emergency power rescue method for electric vehicles is to send emergency rescue information to multiple channels through a built-in one-button rescue case. However, due to the long remote rescue time and the inability to solve the problem of power shortage, the emergency power rescue efficiency for electric vehicles is low. Summary of the invention

[0004] Based on this, it is necessary to provide an efficient power rescue method, device, computer equipment, computer readable storage medium and computer program product for electric vehicles to address the above technical problems.

[0005] In a first aspect, the present application provides an efficient power rescue method for an electric vehicle, comprising:

[0006] Acquire current power information of the local vehicle to be rescued and regional power distribution information of the area where the local vehicle is located, and identify the power state of the local vehicle based on the current power information and regional current distribution information;

[0007] When the power state of the local vehicle is an emergency power state, the vehicle position information of each initial adaptation vehicle within the target area and the vehicle power information of each initial adaptation vehicle are collected, and based on the vehicle power information of each initial adaptation vehicle, the current power information, and the regional current distribution information, each adaptation vehicle is selected from each initial adaptation vehicle;

[0008] Receiving the power rescue feedback information sent by each of the adapted vehicles, and generating a target emergency rescue strategy for a target adapted vehicle based on each of the power rescue feedback information;

[0009] Based on the target emergency rescue strategy, the target vehicle is directed to perform power emergency rescue on the local vehicle.

[0010] Optionally, the identifying the power state of the local vehicle based on the current power information and the regional current distribution information includes:

[0011] Acquire the location information of the local vehicle, and based on the location information of the local vehicle, collect the road distance information between the local vehicle and the target power charging area closest to the local vehicle through a satellite remote sensing program;

[0012] Based on the current power information and the vehicle power usage mode of the local vehicle, the safe vehicle driving distance of the local vehicle is identified, and based on the safe vehicle driving distance, the distance difference between the road distance information, and the current power information, the power state of the local vehicle is identified through a power state identification strategy.

[0013] Optionally, the vehicle location information of each initially adapted vehicle within the target area and the vehicle power information of each initially adapted vehicle are collected, including:

[0014] The location information of the local vehicle is used as the regional center, and based on the regional center, the vehicle adaptation program is used to send the vehicle adaptation verification information to each vehicle within the preset target area;

[0015] Receiving the vehicle adaptation verification results of each of the vehicles and the vehicle power information of each vehicle, and taking the vehicle whose vehicle adaptation verification result is verified as the initial adaptation vehicle;

[0016] Based on the relative distance information between each initial adaptation vehicle and the local vehicle and the position information of the local vehicle, the vehicle position information of each initial adaptation vehicle is identified.

[0017] Optionally, the selecting each adapted vehicle from each of the initially adapted vehicles based on the vehicle power information of each of the initially adapted vehicles, the current power information, and the regional current distribution information includes:

[0018] Based on the travel distance of the safety vehicle, the distance difference between the safety vehicle and the road distance information, and the vehicle power consumption mode of the local vehicle, the power demand information of the local vehicle is identified, and based on the vehicle position information of each initial adaptation vehicle, the position information of the local vehicle, and the regional position information of the target power charging area, the rescue and self-charging routes of each initial adaptation vehicle are planned through the road planning network;

[0019] Based on the rescue and self-charging routes of each initially adapted vehicle, the current vehicle mode of each initially adapted vehicle, and the vehicle power information of each initially adapted vehicle, the actual power supply information of each initially adapted vehicle is identified, and based on the actual power supply information of each initially adapted vehicle and the power demand information of the local vehicle, adapted vehicles are screened in each initially adapted vehicle.

[0020] Optionally, the receiving of the power rescue feedback information sent by each of the adapted vehicles and generating a target emergency rescue strategy for a target adapted vehicle based on each of the power rescue feedback information includes:

[0021] Sending preset power rescue request information to each of the adapted vehicles, and receiving power rescue feedback information fed back by each of the adapted vehicles;

[0022] Based on the power rescue feedback information of each of the adapted vehicles, the relative distance information between each of the adapted vehicles and the local vehicle, and the actual power supply information of each adapted vehicle, the target adapted vehicle is selected through a distance power priority strategy;

[0023] Based on the relative distance information between the target adaptive vehicle and the local vehicle, a target rescue route for the target adaptive vehicle, a vehicle mode adjustment strategy for the target adaptive vehicle, and a target self-charging route for the target adaptive vehicle are generated through a rescue strategy generation model;

[0024] The target rescue route of the target adaptive vehicle, the vehicle mode adjustment strategy of the target adaptive vehicle, and the target self-charging route of the target adaptive vehicle are used as the target emergency rescue strategy of the target adaptive vehicle.

[0025] Optionally, the generating a target rescue route for the target adaptive vehicle, a vehicle mode adjustment strategy for the target adaptive vehicle, and a target self-charging route for the target adaptive vehicle through a rescue strategy generation model based on the relative distance information between the target adaptive vehicle and the local vehicle includes:

[0026] Acquire the current itinerary planning information of the target adaptive vehicle, and based on the current itinerary planning information of the target adaptive vehicle, the location information of the local vehicle, and the regional location information of the target power charging area, generate a target rescue route for the target adaptive vehicle and a target self-charging route for the target adaptive vehicle through the route optimization network of the rescue strategy generation model;

[0027] Based on the vehicle power information of the target adaptive vehicle, the actual power supply information of the target adaptive vehicle, the route distance information of the rescue and self-charging routes of the target adaptive vehicle, and the current vehicle mode of the target adaptive vehicle, the vehicle mode adjustment strategy of the target adaptive vehicle is generated through the vehicle mode optimization network of the rescue strategy generation model.

[0028] In a second aspect, the present application also provides a high-efficiency power rescue device for an electric vehicle, comprising:

[0029] An acquisition module, used to acquire current power information of a local vehicle to be rescued and regional power distribution information of an area where the local vehicle is located, and to identify the power state of the local vehicle based on the current power information and regional current distribution information;

[0030] A screening module, for collecting the vehicle position information of each initial adaptation vehicle within the target area and the vehicle power information of each initial adaptation vehicle when the power state of the local vehicle is an emergency power state, and screening each adaptation vehicle from each initial adaptation vehicle based on the vehicle power information of each initial adaptation vehicle, the current power information, and the regional current distribution information;

[0031] A generating module, used for receiving the power rescue feedback information sent by each of the adapted vehicles, and generating a target emergency rescue strategy for a target adapted vehicle based on each of the power rescue feedback information;

[0032] The guidance module is used to guide the target vehicle to perform power emergency rescue on the local vehicle based on the target emergency rescue strategy.

[0033] Optionally, the acquisition module is specifically used to:

[0034] Acquire the location information of the local vehicle, and based on the location information of the local vehicle, collect the road distance information between the local vehicle and the target power charging area closest to the local vehicle through a satellite remote sensing program;

[0035] Based on the current power information and the vehicle power usage mode of the local vehicle, the safe vehicle driving distance of the local vehicle is identified, and based on the safe vehicle driving distance, the distance difference between the road distance information, and the current power information, the power state of the local vehicle is identified through a power state identification strategy.

[0036] Optionally, the screening module is specifically used to:

[0037] The location information of the local vehicle is used as the regional center, and based on the regional center, the vehicle adaptation program is used to send the vehicle adaptation verification information to each vehicle within the preset target area;

[0038] Receiving the vehicle adaptation verification results of each of the vehicles and the vehicle power information of each vehicle, and taking the vehicle whose vehicle adaptation verification result is verified as the initial adaptation vehicle;

[0039] Based on the relative distance information between each initial adaptation vehicle and the local vehicle and the position information of the local vehicle, the vehicle position information of each initial adaptation vehicle is identified.

[0040] Optionally, the screening module is specifically used to:

[0041] Based on the travel distance of the safety vehicle, the distance difference between the safety vehicle and the road distance information, and the vehicle power consumption mode of the local vehicle, the power demand information of the local vehicle is identified, and based on the vehicle position information of each initial adaptation vehicle, the position information of the local vehicle, and the regional position information of the target power charging area, the rescue and self-charging routes of each initial adaptation vehicle are planned through the road planning network;

[0042] Based on the rescue and self-charging routes of each initially adapted vehicle, the current vehicle mode of each initially adapted vehicle, and the vehicle power information of each initially adapted vehicle, the actual power supply information of each initially adapted vehicle is identified, and based on the actual power supply information of each initially adapted vehicle and the power demand information of the local vehicle, adapted vehicles are screened in each initially adapted vehicle.

[0043] Optionally, the generating module is specifically used for:

[0044] Sending preset power rescue request information to each of the adapted vehicles, and receiving power rescue feedback information fed back by each of the adapted vehicles;

[0045] Based on the power rescue feedback information of each of the adapted vehicles, the relative distance information between each of the adapted vehicles and the local vehicle, and the actual power supply information of each adapted vehicle, the target adapted vehicle is selected through a distance power priority strategy;

[0046] Based on the relative distance information between the target adaptive vehicle and the local vehicle, a target rescue route for the target adaptive vehicle, a vehicle mode adjustment strategy for the target adaptive vehicle, and a target self-charging route for the target adaptive vehicle are generated through a rescue strategy generation model;

[0047] The target rescue route of the target adaptive vehicle, the vehicle mode adjustment strategy of the target adaptive vehicle, and the target self-charging route of the target adaptive vehicle are used as the target emergency rescue strategy of the target adaptive vehicle.

[0048] Optionally, the generating module is specifically used for:

[0049] Acquire the current itinerary planning information of the target adaptive vehicle, and based on the current itinerary planning information of the target adaptive vehicle, the location information of the local vehicle, and the regional location information of the target power charging area, generate a target rescue route for the target adaptive vehicle and a target self-charging route for the target adaptive vehicle through the route optimization network of the rescue strategy generation model;

[0050] Based on the vehicle power information of the target adaptive vehicle, the actual power supply information of the target adaptive vehicle, the route distance information of the rescue and self-charging routes of the target adaptive vehicle, and the current vehicle mode of the target adaptive vehicle, the vehicle mode adjustment strategy of the target adaptive vehicle is generated through the vehicle mode optimization network of the rescue strategy generation model.

[0051] In a third aspect, the present application provides a computer device, wherein the computer device comprises a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the steps of any one of the methods in the first aspect are implemented.

[0052] In a fourth aspect, the present application provides a computer-readable storage medium having a computer program stored thereon, wherein when the computer program is executed by a processor, the steps of any one of the methods in the first aspect are implemented.

[0053] In a fifth aspect, the present application provides a computer program product. The computer program product includes a computer program, and when the computer program is executed by a processor, the steps of any one of the methods in the first aspect are implemented.

[0054] The above-mentioned efficient power rescue method, device, computer equipment, computer-readable storage medium and computer program product for electric vehicles obtain the current power information of the local vehicle to be rescued and the regional power distribution information of the area where the local vehicle is located, and identify the power state of the local vehicle based on the current power information and the regional current distribution information; when the power state of the local vehicle is an emergency power state, collect the vehicle position information of each initial adapted vehicle within the target area and the vehicle power information of each initial adapted vehicle, and screen each adapted vehicle from each initial adapted vehicle based on the vehicle power information of each initial adapted vehicle, the current power information and the regional current distribution information; receive power rescue feedback information sent by each adapted vehicle, and generate a target emergency rescue strategy for the target adapted vehicle based on each power rescue feedback information, and guide the target vehicle to perform power emergency rescue on the local vehicle based on the target emergency rescue strategy. This solution is different from the method of sending rescue information randomly. It identifies the power status of the local vehicle and the vehicle location information and vehicle power information of each initial adapted vehicle within the target area of ​​the local vehicle, thereby screening the target adapted vehicle adapted to the local vehicle and generating a target emergency rescue strategy for the target adapted vehicle, wherein the target adapted vehicle is an adapted vehicle with sufficient power and closest to the local vehicle, thereby avoiding the inefficiency of remote rescue and the inability to solve power problems. At the same time, it can avoid the situation where the target adapted vehicle itself has power rescue problems after the rescue, thereby effectively improving the efficiency of emergency power rescue for electric vehicles. BRIEF DESCRIPTION OF THE DRAWINGS

[0055] In order to more clearly illustrate the technical solutions in the embodiments of the present application or related technologies, the drawings required for use in the embodiments of the present application or related technical descriptions will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0056] Figure 1 A schematic diagram of a process flow of an efficient power rescue method for an electric vehicle in one embodiment;

[0057] Figure 2 A schematic diagram of a process flow of an example of efficient power rescue of an electric vehicle in one embodiment;

[0058] Figure 3 is a structural block diagram of a high-efficiency power rescue device for an electric vehicle in one embodiment;

[0059] Figure 4 FIG. 4 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0060] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0061] The efficient power rescue method for electric vehicles provided in the embodiment of the present application can be applied to the application environment of power rescue for electric vehicles. The method can be applied to a terminal, a server, or a system including a terminal and a server, and is implemented through the interaction between the terminal and the server. The terminal can be, but is not limited to, various personal computers, laptops, on-board computers, etc. The terminal is different from the random rescue information sending method. By identifying the power state of the local vehicle and the vehicle position information and vehicle power information of each initial adapted vehicle within the target area of ​​the local vehicle, the terminal selects the target adapted vehicle adapted to the local vehicle and generates a target emergency rescue strategy for the target adapted vehicle, wherein the target adapted vehicle is an adapted vehicle with sufficient vehicle power and the closest distance to the local vehicle, thereby avoiding the inefficiency of remote rescue and the inability to solve the power problem. At the same time, it can avoid the situation where the target adapted vehicle itself generates power rescue problems after the rescue, thereby effectively improving the efficiency of emergency power rescue for electric vehicles.

[0062] In an exemplary embodiment, Figure 1 As shown, a highly efficient power rescue method for electric vehicles is provided, which is described by taking the method applied to a terminal as an example, and includes the following steps S101 to S103. Among them:

[0063] Step S101, obtaining the current power information of the local vehicle to be rescued and the regional power distribution information of the area where the local vehicle is located, and identifying the power state of the local vehicle based on the current power information and the regional current distribution information.

[0064] In this embodiment, the terminal collects the current power information of the local vehicle through a power detection instrument set at the vehicle battery position of the local vehicle. And through the vehicle navigation device, the location distribution information of all power supply equipment in the area with the location information of the local vehicle as the center and the preset range length as the radius is obtained, wherein the current power information is the actual remaining power value of the vehicle battery, and the power supply equipment is, for example, a power supply station, a charging pile, a public building with electricity, and other public equipment that can charge electric vehicles. Then, the terminal identifies the power state of the local vehicle based on the current power information and the regional current distribution information. The power state is a characterization of whether the current power information can support the state of the target power supply equipment closest to the local vehicle. If the current power information can support the state of the target power supply equipment closest to the local vehicle and there is still power remaining, the power state of the local vehicle is a healthy power state; if the current power information can support the state of the target power supply equipment closest to the local vehicle, but there is no remaining power, the power state of the local vehicle is a limit power state; if the current power information cannot support the state of the target power supply equipment closest to the local vehicle, the power state of the local vehicle is an emergency power state. The specific identification process will be described in detail later.

[0065] Step S102, when the power state of the local vehicle is an emergency power state, the vehicle position information of each initial adapted vehicle within the target area and the vehicle power information of each initial adapted vehicle are collected, and based on the vehicle power information, current power information, and regional current distribution information of each initial adapted vehicle, each adapted vehicle is selected from the initial adapted vehicles.

[0066] In this embodiment, when the power state of the local vehicle is an emergency power state, the terminal collects the vehicle location information of each initially adapted vehicle within the target area with the local vehicle as the center and the preset area length as the radius, and the vehicle power information of each initially adapted vehicle. Among them, the initially adapted vehicle is a vehicle type preset in the terminal by the staff and can provide charging function for the local vehicle, such as an electric vehicle of the same model, an electric vehicle of the same brand, or an electric vehicle of the same drive type. The terminal sends a request message corresponding to the vehicle adaptation verification information to each vehicle within the target area, and then screens each initially adapted vehicle after receiving the vehicle adaptation verification result of each vehicle. Then, the terminal screens each adapted vehicle from each initially adapted vehicle based on the vehicle power information, current power information, and regional current distribution information of each initially adapted vehicle. Among them, each adapted vehicle is an initially adapted vehicle that can perform power rescue on the local vehicle and will not affect the normal driving of the vehicle among each initially adapted vehicle.

[0067] Step S103, receiving the power rescue feedback information sent by each adapted vehicle, and generating a target emergency rescue strategy for a target adapted vehicle based on each power rescue feedback information.

[0068] In this embodiment, the terminal sends a power rescue request message to each adapted vehicle, and receives power rescue feedback information sent by each adapted vehicle. Among them, the power rescue request message is a message that requires each adapted vehicle to sense the location of the local vehicle and provide power rescue to the local vehicle. The message includes the location information of the local vehicle, the power information required by the local vehicle, and the vehicle model of the local vehicle. The terminal responds to the feedback message from the driver of each adapted vehicle and obtains the power rescue feedback information sent by each adapted vehicle. Among them, the feedback message from the driver of each adapted vehicle includes but is not limited to accepting rescue, refusing rescue, and no response. Except for the feedback message of accepting rescue, other feedback messages are messages of not accepting rescue.

[0069] Then, based on the power rescue feedback information, the terminal generates a target emergency rescue strategy for the target adaptive vehicle, and based on the target emergency rescue strategy, guides the target vehicle to perform power emergency rescue on the local vehicle. Among them, the target emergency rescue strategy includes the target rescue route of the target adaptive vehicle, the vehicle mode adjustment strategy of the target adaptive vehicle, and the target self-charging route of the target adaptive vehicle. The specific generation process will be described in detail later.

[0070] Step S104: Based on the target emergency rescue strategy, instruct the target vehicle to perform power emergency rescue on the local vehicle.

[0071] In this embodiment, the terminal instructs the target vehicle to perform power emergency rescue on the local vehicle based on the target emergency rescue strategy.

[0072] Based on the above scheme, different from the random rescue information sending method, by identifying the power status of the local vehicle and the vehicle location information and vehicle power information of each initial adapted vehicle within the target area of ​​the local vehicle, the target adapted vehicle adapted to the local vehicle is screened, and a target emergency rescue strategy for the target adapted vehicle is generated, wherein the target adapted vehicle is an adapted vehicle with sufficient power and the closest distance to the local vehicle, thereby avoiding the inefficiency of remote rescue and the inability to solve power problems, and at the same time avoiding the situation where the target adapted vehicle itself has power rescue problems after the rescue, thereby effectively improving the efficiency of emergency power rescue for electric vehicles.

[0073] Optionally, based on current power information and regional current distribution information, the power state of the local vehicle is identified, including: obtaining the location information of the local vehicle, and based on the location information of the local vehicle, collecting road distance information between the local vehicle and the target power charging area closest to the local vehicle through a satellite remote sensing program; based on the current power information and the vehicle power consumption pattern of the local vehicle, identifying the safe vehicle driving distance of the local vehicle, and based on the safe vehicle driving distance, the distance difference between the road distance information, and the current power information, identifying the power state of the local vehicle through a power state identification strategy.

[0074] In this embodiment, the terminal obtains the location information of the local vehicle, and based on the location information of the local vehicle, collects the road distance information between the local vehicle and the target charging area closest to the local vehicle through the satellite remote sensing technology through the satellite remote sensing program preset in the terminal. The road distance information is the trajectory length of the optimal driving trajectory between the location information of the local vehicle and the regional location information of the target charging area.

[0075] Then, the terminal identifies the safe vehicle driving distance of the local vehicle based on the current power information and the vehicle power consumption mode of the local vehicle, and identifies the power state of the local vehicle through the power state recognition strategy based on the safe vehicle driving distance, the distance difference between the road distance information, and the current power information. Among them, the vehicle power consumption mode of the local vehicle is the driving mode currently driven by the local vehicle, and the posture mode includes but is not limited to energy-saving and environmental protection mode, sports mode, high-performance driving mode, etc. Among them, the energy-saving and environmental protection mode has the smallest energy consumption for electricity, the sports mode has moderate energy consumption for electricity, and the high-performance driving mode has the largest energy consumption for electricity. According to different vehicle power consumption modes, the driving distance that the current power information can actually drive is affected. The smaller the energy consumption, the longer the driving distance, and the greater the energy consumption, the shorter the driving distance. Then, the terminal identifies the safe vehicle driving distance corresponding to the current power information through the corresponding relationship between the safe vehicle driving distances corresponding to each power information under the preset different vehicle power consumption mode conditions. Then, the terminal calculates the safe vehicle driving distance and the distance difference between the road distance information. Thereafter, the terminal identifies the distance difference range to which the distance difference of the local vehicle belongs based on the distance difference ranges corresponding to different power states, thereby determining the power state of the local vehicle.

[0076] Based on the above scheme, by identifying the trajectory length of the optimal driving trajectory from the location information of the local vehicle to the regional location information of the target charging area, and the safe vehicle driving distance corresponding to the posture mode of the local vehicle, the power state of the local vehicle is identified, thereby improving the accuracy of identifying the power state of the local vehicle.

[0077] Optionally, the vehicle position information of each initially adapted vehicle within the target area and the vehicle power information of each initially adapted vehicle are collected, including: taking the position information of the local vehicle as the regional center, and based on the regional center, sending vehicle adaptation verification information to each vehicle within the preset target area through a vehicle adaptation program; receiving the vehicle adaptation verification result of each vehicle and the vehicle power information of each vehicle, and taking the vehicle with the vehicle adaptation verification result as the verified vehicle as the initially adapted vehicle; identifying the vehicle position information of each initially adapted vehicle based on the relative distance information between each initially adapted vehicle and the local vehicle, and the position information of the local vehicle.

[0078] In this embodiment, the terminal uses the location information of the local vehicle as the regional center, and based on the regional center, sends the vehicle adaptation verification information to each vehicle within the preset target area through the vehicle adaptation program. The vehicle adaptation verification information is an adaptation verification request message requesting each vehicle to feedback the vehicle model, vehicle brand, and vehicle drive type. The target area can be a circular area with a radius of 10 kilometers.

[0079] Then, the terminal responds to the feedback request operation of each vehicle, receives the vehicle adaptation verification results of each vehicle, and the vehicle power information of each vehicle, and takes the vehicle whose vehicle adaptation verification result is verified as the initial adaptation vehicle. Among them, the adaptation verification results include two types: verification passed and verification failed, and the feedback content corresponding to the feedback request operation includes two situations: vehicle adaptation verification results and no response. When the feedback content corresponding to the feedback request operation is no response, the terminal directly classifies the vehicle adaptation verification result of the vehicle as verification failed.

[0080] Then, the terminal identifies the vehicle position information of each initial adaptation vehicle based on the relative distance information between each initial adaptation vehicle and the local vehicle, and the position information of the local vehicle. Specifically, the terminal establishes a geodetic coordinate system with the local vehicle as the origin, and then generates the vehicle position information of each initial adaptation vehicle based on the relative distance information between each initial adaptation vehicle and the local vehicle, wherein the relative position information is spatial relative position information, including spatial three-dimensional distance information and spatial three-dimensional angle information between vehicles.

[0081] Based on the above scheme, the initial adapted vehicles are collected through adaptation verification, thereby limiting the scope of vehicles to which local vehicles send request, and improving the accuracy and adaptability of request sending.

[0082] Optionally, based on the vehicle power information, current power information, and regional current distribution information of each initial adapted vehicle, each adapted vehicle is screened from each initial adapted vehicle, including: based on the safe vehicle's driving distance, the distance difference with the road distance information, and the vehicle power consumption mode of the local vehicle, the power demand information of the local vehicle is identified, and based on the vehicle location information of each initial adapted vehicle, the location information of the local vehicle, and the regional location information of the target power charging area, the rescue and self-charging routes of each initial adapted vehicle are planned through the road planning network; based on the rescue and self-charging routes of each initial adapted vehicle, the current vehicle mode of each initial adapted vehicle, and the vehicle power information of each initial adapted vehicle, the actual power supply information of each initial adapted vehicle is identified, and based on the actual power supply information of each initial adapted vehicle and the power demand information of the local vehicle, an adapted vehicle is screened from each initial adapted vehicle.

[0083] In this embodiment, the terminal identifies the power demand information of the local vehicle based on the safe vehicle driving distance, the distance difference between the road distance information, and the vehicle power consumption mode of the local vehicle. The power demand information of the local vehicle is the power information of the local vehicle that can normally reach the target power charging area based on the current vehicle power consumption mode from the current location information, minus the current power information of the local vehicle.

[0084] Then, based on the vehicle location information of each initial adaptation vehicle, the location information of the local vehicle, and the regional location information of the target power charging area, the terminal plans the rescue and self-charging routes of each initial adaptation vehicle through the road planning network. The road planning network is a neural network that plans the optimal rescue route when the initial adaptation vehicle reaches the location information of the local vehicle from the vehicle location information, and the optimal self-charging route when the initial adaptation vehicle reaches the regional location information of the target power charging area from the location information of the local vehicle. The neural network is a deep learning neural network based on the self-attention mechanism and combined with a gated recurrent unit.

[0085] Afterwards, the terminal identifies the actual power supply information of each initially adapted vehicle based on the rescue and self-charging routes of each initially adapted vehicle, the current vehicle mode of each initially adapted vehicle, and the vehicle power information of each initially adapted vehicle, and selects adapted vehicles from each initially adapted vehicle based on the actual power supply information of each initially adapted vehicle and the power demand information of the local vehicle. Specifically, the actual power supply information is the power information after the remaining power information after arriving at the location information of the local vehicle based on the current vehicle mode of each initially adapted vehicle and the vehicle power information of each initially adapted vehicle, minus the power demand information of the initial adapted vehicle from the location information of the local vehicle to the regional location information of the target power charging area. That is, the power information that can charge the local vehicle normally and will not affect the normal driving / charging of the initially adapted vehicle.

[0086] Based on the above scheme, the rescue and self-charging routes of each initial adapted vehicle are generated through the road planning network, and then the actual power supply information of each initial adapted vehicle is determined, which improves the accuracy and comprehensiveness of the recognition of the actual power supply information.

[0087] Optionally, power rescue feedback information sent by each adapted vehicle is received, and based on each power rescue feedback information, a target emergency rescue strategy for the target adapted vehicle is generated, including: sending a preset power rescue request information to each adapted vehicle, and receiving power rescue feedback information fed back by each adapted vehicle; based on the power rescue feedback information of each adapted vehicle, the relative distance information between each adapted vehicle and the local vehicle, and the actual power supply information of each adapted vehicle, the target adapted vehicle is screened through a distance power priority strategy; based on the relative distance information between the target adapted vehicle and the local vehicle, a target rescue route for the target adapted vehicle, a vehicle mode adjustment strategy for the target adapted vehicle, and a target self-charging route for the target adapted vehicle are generated through a rescue strategy generation model; the target rescue route for the target adapted vehicle, the vehicle mode adjustment strategy for the target adapted vehicle, and the target self-charging route for the target adapted vehicle are used as the target emergency rescue strategy for the target adapted vehicle.

[0088] In this embodiment, the terminal sends a preset power rescue request information to each adapted vehicle, and receives power rescue feedback information fed back by each adapted vehicle. The power rescue feedback information is the feedback result of the driver / passenger of each adapted vehicle on the power rescue request information, and the feedback result includes agreeing to rescue, refusing rescue, and no response, wherein the feedback result of no response is equivalent to refusing rescue. Then, the terminal will select the adapted vehicles that are closer to the local vehicle and have more actual power supply information from among the adapted vehicles that agree to rescue, as the target adapted vehicles. Specifically, the terminal selects the target adapted vehicles through the distance power priority strategy based on the power rescue feedback information of each adapted vehicle, the relative distance information between each adapted vehicle and the local vehicle, and the actual power supply information of each adapted vehicle. Among them, the distance and power priority strategy includes the distance priority strategy and the power priority strategy. The distance priority strategy is to arrange the adaptive vehicles that agree to rescue in order of relative distance information to the local vehicle from near to far to obtain a rescue distance sequence; the power priority strategy is to arrange the adaptive vehicles that agree to rescue in order of actual power supply information of each adaptive vehicle from large to small to obtain a power sequence.

[0089] The terminal performs weighted scoring and summation on each suitable vehicle based on the score of each sequence position preset in the terminal, the weight value of the rescue distance sequence, and the weight value of the power sequence, and selects the suitable vehicle with the highest rescue score as the target suitable vehicle.

[0090] Then, based on the relative distance information between the target adaptive vehicle and the local vehicle, the terminal generates the target rescue route of the target adaptive vehicle, the vehicle mode adjustment strategy of the target adaptive vehicle, and the target self-charging route of the target adaptive vehicle through the rescue strategy generation model. Specifically, the generation process will be described in detail later. Finally, the terminal uses the target rescue route of the target adaptive vehicle, the vehicle mode adjustment strategy of the target adaptive vehicle, and the target self-charging route of the target adaptive vehicle as the target emergency rescue strategy of the target adaptive vehicle.

[0091] Based on the above scheme, the target vehicles are screened by the distance and power priority strategy, which improves the timeliness and safety of rescue for local vehicles and avoids the problem of inefficient rescue of local vehicles. Then, by generating a target emergency rescue strategy for the target adaptive vehicle, the problem of inefficient rescue of the target vehicle by manual operation is avoided, thereby comprehensively improving the timeliness of rescue for local vehicles.

[0092] Optionally, based on the relative distance information between the target adaptive vehicle and the local vehicle, a target rescue route for the target adaptive vehicle, a vehicle mode adjustment strategy for the target adaptive vehicle, and a target self-charging route for the target adaptive vehicle are generated through a rescue strategy generation model, including: obtaining the current itinerary planning information of the target adaptive vehicle, and based on the current itinerary planning information of the target adaptive vehicle, the location information of the local vehicle, and the regional location information of the target power charging area, generating the target rescue route for the target adaptive vehicle and the target self-charging route for the target adaptive vehicle through a route optimization network of a rescue strategy generation model; based on the vehicle power information of the target adaptive vehicle, the actual power supply information of the target adaptive vehicle, the route distance information of the rescue and self-charging routes of the target adaptive vehicle, and the current vehicle mode of the target adaptive vehicle, generating the vehicle mode adjustment strategy for the target adaptive vehicle through a vehicle mode optimization network of a rescue strategy generation model.

[0093] In this embodiment, the terminal obtains the current itinerary planning information of the target adaptive vehicle, and based on the current itinerary planning information of the target adaptive vehicle, the location information of the local vehicle, and the regional location information of the target power charging area, generates the target rescue route of the target adaptive vehicle and the target self-charging route of the target adaptive vehicle through the route optimization network of the rescue strategy generation model. Among them, the current itinerary planning information is the current planned route of the target adaptive vehicle, and the route optimization network is based on the route of the target adaptive vehicle's arrival at the location information of the local vehicle, or when returning to the current planned route after rescue, it selects a route with a higher degree of overlap with the current planned route, thereby reducing the impact of the power rescue of the target adaptive vehicle on the normal driving task of the target adaptive vehicle. The route optimization network is a deep learning neural network based on a self-attention mechanism combined with a gated recurrent unit.

[0094] Then, the terminal generates a vehicle mode adjustment strategy for the target adaptive vehicle through the vehicle mode optimization network of the rescue strategy generation model based on the vehicle power information of the target adaptive vehicle, the actual power supply information of the target adaptive vehicle, the route distance information of the rescue and self-charging routes of the target adaptive vehicle, and the current vehicle mode of the target adaptive vehicle. Among them, the vehicle mode optimization network is a vehicle mode adjustment network that improves the rate at which the target adaptive vehicle arrives at the local vehicle based on the actual power supply information of the target adaptive vehicle and the vehicle power information of the target adaptive vehicle while ensuring that the actual power supply information changes little. The vehicle mode adjustment network is a neural network based on a reinforcement learning learning machine.

[0095] Based on the above solution, by optimizing the rescue route and self-charging route, the impact on the current driving task of the target adaptive vehicle can be greatly reduced. By optimizing the network through vehicle mode, it is possible to improve the rescue efficiency of local vehicles while ensuring the normal power rescue and normal self-charging of the target adaptive vehicle.

[0096] This application also provides an example of efficient power rescue for electric vehicles, such as Figure 2 As shown, the specific processing process includes the following steps:

[0097] Step S201, obtaining the current power information of the local vehicle to be rescued and the regional power distribution information of the area where the local vehicle is located.

[0098] Step S202, obtaining the location information of the local vehicle, and based on the location information of the local vehicle, collecting the road distance information between the local vehicle and the target power charging area closest to the local vehicle through a satellite remote sensing program.

[0099] Step S203, based on the current power information and the vehicle power consumption mode of the local vehicle, identify the safe vehicle driving distance of the local vehicle, and based on the safe vehicle driving distance, the distance difference between the road distance information, and the current power information, identify the power state of the local vehicle through the power state identification strategy.

[0100] Step S204, when the power state of the local vehicle is an emergency power state, the location information of the local vehicle is used as the regional center, and based on the regional center, the vehicle adaptation program is used to send vehicle adaptation verification information to each vehicle within the preset target area.

[0101] Step S205, receiving the vehicle adaptation verification results of each vehicle and the vehicle power information of each vehicle, and taking the vehicle whose vehicle adaptation verification result is verified as the initial adaptation vehicle.

[0102] Step S206: identifying the vehicle position information of each initial adaptation vehicle based on the relative distance information between each initial adaptation vehicle and the local vehicle and the position information of the local vehicle.

[0103] Step S207, based on the safe vehicle's driving distance, the distance difference with the road distance information, and the vehicle power consumption pattern of the local vehicle, identify the power demand information of the local vehicle, and based on the vehicle position information of each initial adaptation vehicle, the position information of the local vehicle, and the regional position information of the target power charging area, plan the rescue and self-charging routes of each initial adaptation vehicle through the road planning network.

[0104] Step S208, based on the rescue and self-charging routes of each initial adapted vehicle, the current vehicle mode of each initial adapted vehicle, and the vehicle power information of each initial adapted vehicle, identify the actual power supply information of each initial adapted vehicle, and based on the actual power supply information of each initial adapted vehicle and the power demand information of the local vehicle, select the adapted vehicle in each initial adapted vehicle.

[0105] Step S209, sending preset power rescue request information to each compatible vehicle, and receiving power rescue feedback information fed back by each compatible vehicle.

[0106] Step S210, based on the power rescue feedback information of each adapted vehicle, the relative distance information between each adapted vehicle and the local vehicle, and the actual power supply information of each adapted vehicle, the target adapted vehicle is screened through a distance and power priority strategy.

[0107] Step S211, obtain the current itinerary planning information of the target adaptive vehicle, and based on the current itinerary planning information of the target adaptive vehicle, the location information of the local vehicle, and the regional location information of the target power charging area, generate a route optimization network of the rescue strategy generation model to generate a target rescue route for the target adaptive vehicle and a target self-charging route for the target adaptive vehicle.

[0108] Step S212, based on the vehicle power information of the target adaptive vehicle, the actual power supply information of the target adaptive vehicle, the route distance information of the rescue and self-charging routes of the target adaptive vehicle, and the current vehicle mode of the target adaptive vehicle, a vehicle mode adjustment strategy for the target adaptive vehicle is generated through the vehicle mode optimization network of the rescue strategy generation model.

[0109] Step S213, taking the target rescue route of the target adaptive vehicle, the vehicle mode adjustment strategy of the target adaptive vehicle, and the target self-charging route of the target adaptive vehicle as the target emergency rescue strategy of the target adaptive vehicle.

[0110] Step S214, based on the target emergency rescue strategy, instruct the target vehicle to perform power emergency rescue on the local vehicle.

[0111] It should be understood that, although the various steps in the flowcharts involved in the above-mentioned embodiments are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence according to the order indicated by the arrows. Unless there is a clear explanation in this article, the execution of these steps does not have a strict order restriction, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above-mentioned embodiments can include multiple steps or multiple stages, and these steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily to be carried out in sequence, but can be executed in turn or alternately with other steps or at least a part of the steps or stages in other steps.

[0112] Based on the same inventive concept, the embodiment of the present application also provides an efficient electric power rescue device for electric vehicles for implementing the efficient electric power rescue method for electric vehicles involved above. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme recorded in the above method, so the specific limitations in the embodiments of one or more efficient electric power rescue devices for electric vehicles provided below can refer to the limitations of the efficient electric power rescue method for electric vehicles above, and will not be repeated here.

[0113] In an exemplary embodiment, Figure 3 As shown, a high-efficiency power rescue device for electric vehicles is provided, including: an acquisition module 310, a screening module 320, a generation module 330 and a guidance module 340, wherein:

[0114] The acquisition module 310 is used to acquire the current power information of the local vehicle to be rescued and the regional power distribution information of the area where the local vehicle is located, and identify the power state of the local vehicle based on the current power information and the regional current distribution information;

[0115] The screening module 320 is used to collect the vehicle position information of each initial adaptation vehicle within the target area and the vehicle power information of each initial adaptation vehicle when the power state of the local vehicle is an emergency power state, and screen each adaptation vehicle from each initial adaptation vehicle based on the vehicle power information of each initial adaptation vehicle, the current power information, and the regional current distribution information;

[0116] A generating module 330 is used to receive the power rescue feedback information sent by each of the adapted vehicles, and generate a target emergency rescue strategy for a target adapted vehicle based on each of the power rescue feedback information;

[0117] The guidance module 340 is used to guide the target vehicle to perform power emergency rescue on the local vehicle based on the target emergency rescue strategy.

[0118] Optionally, the acquisition module 310 is specifically configured to:

[0119] Acquire the location information of the local vehicle, and based on the location information of the local vehicle, collect the road distance information between the local vehicle and the target power charging area closest to the local vehicle through a satellite remote sensing program;

[0120] Based on the current power information and the vehicle power usage mode of the local vehicle, the safe vehicle driving distance of the local vehicle is identified, and based on the safe vehicle driving distance, the distance difference between the road distance information, and the current power information, the power state of the local vehicle is identified through a power state identification strategy.

[0121] Optionally, the screening module 320 is specifically used for:

[0122] The location information of the local vehicle is used as the regional center, and based on the regional center, the vehicle adaptation program is used to send the vehicle adaptation verification information to each vehicle within the preset target area;

[0123] Receiving the vehicle adaptation verification results of each of the vehicles and the vehicle power information of each vehicle, and taking the vehicle whose vehicle adaptation verification result is verified as the initial adaptation vehicle;

[0124] Based on the relative distance information between each initial adaptation vehicle and the local vehicle and the position information of the local vehicle, the vehicle position information of each initial adaptation vehicle is identified.

[0125] Optionally, the screening module 320 is specifically used for:

[0126] Based on the travel distance of the safety vehicle, the distance difference between the safety vehicle and the road distance information, and the vehicle power consumption mode of the local vehicle, the power demand information of the local vehicle is identified, and based on the vehicle position information of each initial adaptation vehicle, the position information of the local vehicle, and the regional position information of the target power charging area, the rescue and self-charging routes of each initial adaptation vehicle are planned through the road planning network;

[0127] Based on the rescue and self-charging routes of each initially adapted vehicle, the current vehicle mode of each initially adapted vehicle, and the vehicle power information of each initially adapted vehicle, the actual power supply information of each initially adapted vehicle is identified, and based on the actual power supply information of each initially adapted vehicle and the power demand information of the local vehicle, adapted vehicles are screened in each initially adapted vehicle.

[0128] Optionally, the generating module 330 is specifically configured to:

[0129] Sending preset power rescue request information to each of the adapted vehicles, and receiving power rescue feedback information fed back by each of the adapted vehicles;

[0130] Based on the power rescue feedback information of each of the adapted vehicles, the relative distance information between each of the adapted vehicles and the local vehicle, and the actual power supply information of each adapted vehicle, the target adapted vehicle is selected through a distance power priority strategy;

[0131] Based on the relative distance information between the target adaptive vehicle and the local vehicle, a target rescue route for the target adaptive vehicle, a vehicle mode adjustment strategy for the target adaptive vehicle, and a target self-charging route for the target adaptive vehicle are generated through a rescue strategy generation model;

[0132] The target rescue route of the target adaptive vehicle, the vehicle mode adjustment strategy of the target adaptive vehicle, and the target self-charging route of the target adaptive vehicle are used as the target emergency rescue strategy of the target adaptive vehicle.

[0133] Optionally, the generating module 330 is specifically configured to:

[0134] Acquire the current itinerary planning information of the target adaptive vehicle, and based on the current itinerary planning information of the target adaptive vehicle, the location information of the local vehicle, and the regional location information of the target power charging area, generate a target rescue route for the target adaptive vehicle and a target self-charging route for the target adaptive vehicle through the route optimization network of the rescue strategy generation model;

[0135] Based on the vehicle power information of the target adaptive vehicle, the actual power supply information of the target adaptive vehicle, the route distance information of the rescue and self-charging routes of the target adaptive vehicle, and the current vehicle mode of the target adaptive vehicle, the vehicle mode adjustment strategy of the target adaptive vehicle is generated through the vehicle mode optimization network of the rescue strategy generation model.

[0136] Each module in the above-mentioned efficient power rescue device for electric vehicles can be implemented in whole or in part by software, hardware and a combination thereof. Each of the above-mentioned modules can be embedded in or independent of a processor in a computer device in the form of hardware, or can be stored in a memory in a computer device in the form of software, so that the processor can call and execute the operations corresponding to each of the above modules.

[0137] In an exemplary embodiment, a computer device is provided. The computer device may be a terminal, and its internal structure diagram may be as shown in FIG. Figure 4As shown. The computer device includes a processor, a memory, an input / output interface, a communication interface, a display unit and an input device. The processor, the memory and the input / output interface are connected through a system bus, and the communication interface, the display unit and the input device are connected to the system bus through the input / output interface. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner can be realized through WIFI, a mobile cellular network, near field communication (NFC) or other technologies. When the computer program is executed by the processor, an efficient power rescue method for an electric vehicle is realized. The display unit of the computer device is used to form a visually visible picture, which can be a display screen, a projection device or a virtual reality imaging device. The display screen can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device can be a touch layer covering the display screen, or a button, trackball or touchpad set on the computer device shell, or an external keyboard, touchpad or mouse.

[0138] Those skilled in the art will understand that Figure 4 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0139] In an exemplary embodiment, a computer device is provided, including a memory and a processor, wherein a computer program is stored in the memory, and when the processor executes the computer program, the steps of any one of the methods in the first aspect are implemented.

[0140] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps of any one of the methods in the first aspect are implemented.

[0141] In one embodiment, a computer program product is provided, comprising a computer program, which, when executed by a processor, implements the steps of any one of the methods in the first aspect.

[0142] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant regulations.

[0143] A person of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment method can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in the present application can include at least one of non-volatile memory and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. Non-relational databases may include distributed databases based on blockchains, etc., but are not limited to this. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, an artificial intelligence (AI) processor, etc., but are not limited to this.

[0144] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this application.

[0145] The above-described embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present application. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.

Claims

1. An efficient power rescue method for electric vehicles, characterized in that: The method comprises: Acquire current power information of the local vehicle to be rescued and regional power distribution information of the area where the local vehicle is located, and identify the power state of the local vehicle based on the current power information and regional current distribution information; When the power state of the local vehicle is an emergency power state, the vehicle position information of each initial adaptation vehicle within the target area and the vehicle power information of each initial adaptation vehicle are collected, and based on the vehicle power information of each initial adaptation vehicle, the current power information, and the regional current distribution information, each adaptation vehicle is selected from each initial adaptation vehicle; Receiving the power rescue feedback information sent by each of the adapted vehicles, and generating a target emergency rescue strategy for a target adapted vehicle based on each of the power rescue feedback information; Based on the target emergency rescue strategy, the target vehicle is directed to perform power emergency rescue on the local vehicle.

2. The method according to claim 1, characterized in that The identifying the power state of the local vehicle based on the current power information and the regional current distribution information includes: Acquire the location information of the local vehicle, and based on the location information of the local vehicle, collect the road distance information between the local vehicle and the target power charging area closest to the local vehicle through a satellite remote sensing program; Based on the current power information and the vehicle power usage mode of the local vehicle, the safe vehicle driving distance of the local vehicle is identified, and based on the safe vehicle driving distance, the distance difference between the road distance information, and the current power information, the power state of the local vehicle is identified through a power state identification strategy.

3. The method according to claim 2, characterized in that The vehicle location information of each initially adapted vehicle within the target area of ​​the acquisition, and the vehicle power information of each initially adapted vehicle, include: The location information of the local vehicle is used as the regional center, and based on the regional center, the vehicle adaptation program is used to send the vehicle adaptation verification information to each vehicle within the preset target area; Receiving the vehicle adaptation verification results of each of the vehicles and the vehicle power information of each vehicle, and taking the vehicle whose vehicle adaptation verification result is verified as the initial adaptation vehicle; Based on the relative distance information between each initial adaptation vehicle and the local vehicle and the position information of the local vehicle, the vehicle position information of each initial adaptation vehicle is identified.

4. The method according to claim 3, characterized in that The selecting each adapted vehicle from each of the initially adapted vehicles based on the vehicle power information of each of the initially adapted vehicles, the current power information, and the regional current distribution information includes: Based on the travel distance of the safety vehicle, the distance difference between the safety vehicle and the road distance information, and the vehicle power consumption mode of the local vehicle, the power demand information of the local vehicle is identified, and based on the vehicle position information of each initial adaptation vehicle, the position information of the local vehicle, and the regional position information of the target power charging area, the rescue and self-charging routes of each initial adaptation vehicle are planned through the road planning network; Based on the rescue and self-charging routes of each initially adapted vehicle, the current vehicle mode of each initially adapted vehicle, and the vehicle power information of each initially adapted vehicle, the actual power supply information of each initially adapted vehicle is identified, and based on the actual power supply information of each initially adapted vehicle and the power demand information of the local vehicle, adapted vehicles are screened in each initially adapted vehicle.

5. The method according to claim 4, characterized in that The receiving of the power rescue feedback information sent by each of the adapted vehicles and generating a target emergency rescue strategy for a target adapted vehicle based on each of the power rescue feedback information includes: Sending preset power rescue request information to each of the adapted vehicles, and receiving power rescue feedback information fed back by each of the adapted vehicles; Based on the power rescue feedback information of each of the adapted vehicles, the relative distance information between each of the adapted vehicles and the local vehicle, and the actual power supply information of each adapted vehicle, the target adapted vehicle is selected through a distance power priority strategy; Based on the relative distance information between the target adaptive vehicle and the local vehicle, a target rescue route for the target adaptive vehicle, a vehicle mode adjustment strategy for the target adaptive vehicle, and a target self-charging route for the target adaptive vehicle are generated through a rescue strategy generation model; The target rescue route of the target adaptive vehicle, the vehicle mode adjustment strategy of the target adaptive vehicle, and the target self-charging route of the target adaptive vehicle are used as the target emergency rescue strategy of the target adaptive vehicle.

6. The method according to claim 5, characterized in that The method of generating a target rescue route for the target adaptive vehicle, a vehicle mode adjustment strategy for the target adaptive vehicle, and a target self-charging route for the target adaptive vehicle based on the relative distance information between the target adaptive vehicle and the local vehicle through a rescue strategy generation model includes: Acquire the current itinerary planning information of the target adaptive vehicle, and based on the current itinerary planning information of the target adaptive vehicle, the location information of the local vehicle, and the regional location information of the target power charging area, generate a target rescue route for the target adaptive vehicle and a target self-charging route for the target adaptive vehicle through the route optimization network of the rescue strategy generation model; Based on the vehicle power information of the target adaptive vehicle, the actual power supply information of the target adaptive vehicle, the route distance information of the rescue and self-charging routes of the target adaptive vehicle, and the current vehicle mode of the target adaptive vehicle, the vehicle mode adjustment strategy of the target adaptive vehicle is generated through the vehicle mode optimization network of the rescue strategy generation model.

7. An efficient power rescue device for electric vehicles, characterized in that: The device comprises: An acquisition module, used to acquire current power information of a local vehicle to be rescued and regional power distribution information of an area where the local vehicle is located, and to identify the power state of the local vehicle based on the current power information and regional current distribution information; A screening module, for collecting the vehicle position information of each initial adaptation vehicle within the target area and the vehicle power information of each initial adaptation vehicle when the power state of the local vehicle is an emergency power state, and screening each adaptation vehicle from each initial adaptation vehicle based on the vehicle power information of each initial adaptation vehicle, the current power information, and the regional current distribution information; A generating module, used for receiving the power rescue feedback information sent by each of the adapted vehicles, and generating a target emergency rescue strategy for a target adapted vehicle based on each of the power rescue feedback information; The guidance module is used to guide the target vehicle to perform power emergency rescue on the local vehicle based on the target emergency rescue strategy.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 6 are implemented.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

Images