Faulty vehicle charging method and system for emergency mobile charging station

Abstract

The present application relates to the technical field of emergency charging of vehicles, and discloses a method and system for charging a faulty vehicle at an emergency mobile charging station, the method comprising obtaining an emergency charging signal emitted by a faulty vehicle; the emergency charging signal comprises vehicle information and positioning information; according to the positioning information, a corresponding charging station is matched; within the charging station, a mobile emergency power supply within the charging station is matched; the location information of the mobile emergency power supply is obtained, and the path length and time taken for the emergency charging route are calculated in combination with the positioning information; the remaining power of the mobile emergency power supply is obtained, and it is determined whether the remaining power of the mobile emergency power supply can reach the faulty vehicle for charging. The present application is conducive to providing emergency charging services for faulty vehicles, so as to improve the user experience of electric vehicles.

Description

Technical Field

[0001] The present application relates to the technical field of emergency charging of vehicles, and in particular to a method and system for charging a faulty vehicle at an emergency mobile charging station. Background Art

[0002] With the rapid development of new energy vehicles, the construction of charging infrastructure has become a key link. Although the charging facilities in the city are relatively complete, the uneven distribution of charging points and the difference in charging efficiency also affect the user experience of new energy vehicles. For example, the current charging points on existing highways are only available in service areas, and the number is limited, which often cannot meet the charging needs during peak periods such as holidays.

[0003] Especially when there is serious congestion on highways during holidays, accidents, etc., electric vehicles will consume electricity faster; at this time, if the charging facilities are insufficient or the charging efficiency is low, it will further aggravate the plight of electric vehicles and may trigger a chain reaction, making traffic congestion worse; therefore, there is an urgent need to develop mobile charging technology. Summary of the invention

[0004] In order to solve the deficiencies in the existing infrastructure for charging electric vehicles on highways and to facilitate the realization of emergency charging functions, the present application provides a method and system for charging faulty vehicles at an emergency mobile charging station.

[0005] In a first aspect, the present application provides a method for charging a faulty vehicle at an emergency mobile charging station, which adopts the following technical solution:

[0006] A method for charging a faulty vehicle at an emergency mobile charging station comprises the following steps:

[0007] Obtaining an emergency charging signal sent by a faulty vehicle; the emergency charging signal includes vehicle information and positioning information;

[0008] According to the positioning information, a corresponding charging station is matched;

[0009] In the charging station, matching the portable emergency power supply in the charging station;

[0010] Obtaining the location information of the mobile emergency power supply, and calculating the path length and time consumption of the emergency charging route in combination with the positioning information;

[0011] Obtaining the remaining power of the mobile emergency power supply, and determining whether the remaining power of the mobile emergency power supply can reach the faulty vehicle for charging;

[0012] If it is possible, the mobile emergency power source is marked as an available power source, and the available power source corresponding to the shortest route or the shortest time in the emergency charging route is selected from the multiple available power sources to charge the faulty vehicle; the available power source travels to the faulty vehicle along the emergency charging route with the shortest route or the shortest time and charges the faulty vehicle;

[0013] If neither is possible, a first temporary charging request is issued; the portable emergency power supply within a set range is called according to the first temporary charging request; the location information and power reserve of the portable emergency power supply are obtained; a temporary emergency charging route is calculated; if the power reserve of the portable emergency power supply can reach the faulty vehicle for charging, it is judged to be a temporary power supply; the temporary power supply generates a temporary emergency path according to the current location information and the positioning information of the faulty vehicle; from the temporary emergency paths, the temporary power supply corresponding to the shortest path or the shortest time is selected, and the temporary power supply travels along the shortest temporary emergency path to the faulty vehicle and charges.

[0014] By adopting the above technical solution, the system quickly understands the needs and location of the faulty vehicle by receiving the emergency charging signal containing vehicle information and positioning information sent by the faulty vehicle. According to the positioning information, the system can automatically match the nearest charging station and screen out the available mobile emergency power supply in the station. The automated matching process reduces manual intervention and improves the response speed. By obtaining the location information of the mobile emergency power supply and combining it with the positioning information of the faulty vehicle, the system can calculate the emergency charging route. At the same time, the system will also evaluate the remaining power of the mobile emergency power supply to determine whether it can reach the faulty vehicle for charging. It ensures the effective use of resources and avoids ineffective mobilization due to insufficient power. If the remaining power of the mobile emergency power supply in the station is sufficient, the system will screen out the power supply with the shortest emergency charging route or the shortest time from multiple available power supplies for charging. This optimization selection reduces the charging time and improves the rescue efficiency. If the power supplies in the station cannot meet the demand, the system will issue a first temporary charging request and call the mobile emergency power supply on the high-speed route within the nearby set range; the scope of power dispatch is expanded and the flexibility of emergency response is improved. For the temporary power source that is called, the system will generate a temporary emergency path based on its current location and the location information of the faulty vehicle, and select the shortest path or the power source with the shortest time for charging. This step ensures that charging services can be provided quickly for the faulty vehicle even in the most urgent situations.

[0015] Optionally, the method for determining whether the remaining power of the mobile emergency power supply can reach the faulty vehicle for charging further comprises:

[0016] estimating the path length of the emergency route based on the location information and the positioning information, in combination with the travel speed classification of the mobile emergency power source and real-time navigation software;

[0017] Calculate the available charging capacity of the power reserve according to the power reserve; Method 1: Available charging capacity = power reserve - 2 times the path length × power consumption per unit length of self-propelled travel; wherein 2 times the path length is the distance from the mobile emergency power supply to the faulty vehicle from the charging station to the faulty vehicle, and the power consumption per unit length of self-propelled travel is the power consumption per unit length of the mobile emergency power supply during the non-charging time; Method 2: Available charging capacity = power reserve - the distance between two adjacent stations × power consumption per unit length of self-propelled travel;

[0018] According to the vehicle model and the remaining power of the vehicle in the vehicle information, a corresponding charging demand is matched;

[0019] When the available charging amount is greater than the charging demand amount, it is determined that the remaining power of the mobile emergency power supply can reach the faulty vehicle for charging; otherwise, it is determined that it cannot reach the faulty vehicle for charging.

[0020] By adopting the above technical solution, firstly, according to the location information and positioning information of the faulty vehicle, combined with the classification of the travel speed of the mobile emergency power supply (such as fast, slow, etc.) and the real-time navigation software, the path length of the emergency charging route can be more accurately estimated. Two methods for calculating the available charge are provided to adapt to different application scenarios and needs. Method 1 considers the distance from the mobile emergency power supply to the faulty vehicle and back from the charging station, and multiplies it by the power consumption per unit length of self-propelled travel to estimate the power that the power supply may consume during driving. This method is more conservative and ensures that the power supply has enough power to return to the charging station. Method 2 is simplified to only consider the distance between two adjacent stations, which is suitable for the case of known or fixed path length. Due to different vehicle models and battery status, the demand for charging varies; the system can more accurately determine whether the power reserve of the mobile emergency power supply is sufficient, thereby avoiding invalid mobilization due to insufficient power and improving the efficiency and reliability of emergency response. In addition, it is also necessary to ensure that there is enough power left for the return of the mobile emergency power supply to ensure the orderly operation of the mobile emergency power supply. Through the above scheme, the faulty vehicle charging method of the emergency mobile charging station is further improved, and the reliability and efficiency of the charging service are improved.

[0021] Optionally, the method for determining whether the remaining power of the mobile emergency power supply can reach the faulty vehicle for charging further comprises:

[0022] According to the location information and the positioning information, combined with the travel speed classification of the mobile emergency power supply and the real-time navigation software, the path length of the emergency route is estimated; according to the vehicle model and the remaining power of the vehicle in the vehicle information, the corresponding charging demand is matched;

[0023] Acquire the congestion situation of the emergency route in real time, and calculate the congestion value according to the first algorithm; wherein the first algorithm includes: dividing the path length into multiple driving paths according to the severity of the congestion, and calculating the path length of each driving path; using the severity of the congestion as the weight of the corresponding driving path, and using the weighted average method to calculate the congestion value = ∑ (corresponding congestion severity × corresponding driving path length);

[0024] When the congestion value exceeds the set congestion threshold and the remaining power exceeds the set power, it is determined that the mobile emergency power source can reach the faulty vehicle for charging; otherwise, it is determined that the mobile emergency power source cannot reach the faulty vehicle for charging;

[0025] When the congestion value does not exceed the set congestion threshold, the self-power consumption value of the mobile emergency power supply is estimated according to the congestion value; the self-power consumption value = (congestion value + e) ​​× ∑ (corresponding congestion severity × corresponding driving path length × standard unit length power consumption), where e is a constant;

[0026] If the difference between the remaining power and the power consumption value is greater than the charging demand, it is determined that the remaining power of the mobile emergency power supply can reach the faulty vehicle for charging; otherwise, it is determined that it cannot reach the faulty vehicle for charging.

[0027] By adopting the above technical solution, the congestion situation of the emergency route is obtained in real time by combining real-time navigation software and possible traffic data interfaces; when the congestion value exceeds the set congestion threshold, it means that the road condition is very congested. At this time, even if the mobile emergency power supply has sufficient power reserve, it may run out of power due to long driving time. Therefore, the system sets an additional condition: the power reserve must exceed the set power reserve to be judged as being able to reach the faulty vehicle for charging. This ensures that in high congestion conditions, the power supply has enough power to complete the charging task and return to the charging station. When the congestion value does not exceed the set congestion threshold, the system estimates the self-power consumption value of the mobile emergency power supply based on the power reserve, congestion value and standard unit length power consumption. The consumption of the power reserve is adjusted by a formula to reflect the impact of congestion on the power consumption of the power supply during driving. By comparing the estimated self-power consumption value and the charging demand of the faulty vehicle, the system can finally determine whether the power reserve of the mobile emergency power supply can meet the charging demand. The intelligentization and practicality of the charging method for faulty vehicles at the emergency mobile charging station are further enhanced, providing electric vehicle users with more reliable and efficient charging services.

[0028] Optionally, the method further comprises:

[0029] Obtain real-time temperature data of the mobile emergency power supply;

[0030] According to the temperature interval to which the real-time temperature data belongs, a temperature influence value matching the temperature interval is obtained; and the self-power consumption value is adjusted according to the positive correlation of the temperature influence value;

[0031] The adjusted power consumption value = temperature impact value × power consumption value;

[0032] The adjusted self-power consumption value is used to determine whether the remaining power of the mobile emergency power supply can reach the faulty vehicle for charging.

[0033] By adopting the above technical solution, the impact of temperature on the performance of electric vehicles, especially the reduction in power supply performance in low temperature weather, is taken into account; therefore, the temperature impact value is used to positively adjust its own power consumption value to more accurately reflect the amount of power required for the power supply to complete the charging task and return to the charging station under the current temperature conditions.

[0034] Optionally, the method further comprises:

[0035] During the charging process of the mobile emergency power supply, if the available charging amount is less than the required amount, a second temporary charging request is issued;

[0036] According to the second temporary charging request, selecting the mobile emergency power source located on the highway within a nearby set range as a backup power source;

[0037] Determine the remaining power of the backup power source, and determine whether the remaining power can reach the faulty vehicle for charging;

[0038] If possible, the backup power source with the shortest path or the shortest time is selected to reach the faulty vehicle for charging.

[0039] By adopting the above technical solution, since the vehicle is moving while charging, the path will change, so real-time monitoring is required to implement an accurate charging control strategy. If during the charging process, it is found that the mobile emergency power supply cannot meet the charging and return requirements, in order to ensure that the charging needs are met, other nearby power sources are temporarily requested as backup power sources to try to meet the charging needs with the lowest overall energy consumption.

[0040] Optionally, when the mobile emergency power source is a four-wheel mobile device that can travel on a highway route, the emergency charging route is a highway route;

[0041] The method for calculating the path length and time consumption of the emergency charging route also includes the following steps:

[0042] Generate emergency routes based on positioning information and location information combined with real-time navigation software;

[0043] The emergency path is subdivided into a fast lane, a middle lane, a slow lane and an emergency lane that is allowed to travel; when the mobile emergency power source uses the automatic driving technology to travel on a highway, when there is no traffic jam, the priority of lane selection is: fast lane> middle lane> slow lane; when there is a traffic jam in the lane, the lane selected is the emergency lane that is allowed to travel;

[0044] According to the roads selected by priority and the speed limits on the corresponding roads, the path length and time of the emergency charging route are estimated; the path length is the sum of the road lengths of each lane between the positioning information and the location information; the time taken = ∑ (total length of the corresponding type of road / maximum value of the corresponding speed limit).

[0045] By adopting the above technical solution, when the mobile emergency power supply is a four-wheel mobile device that can travel on a highway, the emergency charging route is naturally set as a highway route. The system generates an emergency path based on positioning information and location information, combined with real-time navigation software. When the mobile emergency power supply uses automatic driving technology to travel on a highway, the system will dynamically adjust the priority of lane selection according to real-time road conditions. Based on the roads selected by priority, the system estimates the path length and time of the emergency charging route in combination with the speed limit on the corresponding road. Through the above technical solution, the system can plan the emergency charging route more accurately and dynamically adjust the lane selection according to real-time road conditions; it helps to shorten the charging response time and improve the efficiency of the charging service.

[0046] Optionally, when the mobile emergency power source is a flying mobile device, the emergency charging route is an aerial flight route;

[0047] The method for calculating the path length and time consumption of the emergency charging route also includes the following steps:

[0048] Calculate the straight-line distance between the geographical locations corresponding to the positioning information and the location information according to the positioning information and the location information, where the straight-line distance is the path length;

[0049] Obtaining wind data of the area corresponding to the straight-line distance, wherein the wind data includes the location where the wind occurs, and the wind force and direction;

[0050] The path on the straight-line distance is divided into multiple areas according to the wind direction, and the flight angle in each area is calculated, where the flight angle is the angle between the flight direction and the wind direction; wherein the flight direction is the direction from the location corresponding to the position information to the location corresponding to the positioning information;

[0051] The flight drag coefficient is estimated according to the wind force and the flight angle, where the flight drag coefficient = f (flight angle, wind force) = k × wind force × cos (flight angle), where k is a constant;

[0052] Elapsed time = ∑ ((1.5-region's flight resistance coefficient) × region's length / standard flight speed); where the standard flight speed is the set safe flight speed;

[0053] When the movable emergency power supply is a flying mobile device, it includes a telescopic supporting device for being placed on the roof, or includes an adsorption device adsorbed on the roof.

[0054] By adopting the above technical solution, the emergency charging route is no longer a road on the ground, but a flight route in the air, and the flight route is not restricted by ground congestion; however, aerial flight is significantly affected by wind force. In order to more accurately estimate flight resistance and flight time, the system divides the straight-line path into multiple areas according to the direction of the wind; the system estimates the flight resistance coefficient based on the wind force and the flight angle; and the flight time is obtained by accumulating the flight time in each area.

[0055] Optionally, the method further comprises:

[0056] The power consumption per unit length of self-propelled walking is adjusted according to the size of the flight drag coefficient. The larger the flight drag coefficient, the greater the power consumption per unit length of self-propelled walking; the smaller the flight drag coefficient, the smaller the power consumption per unit length of self-propelled walking;

[0057] The adjusted power consumption per unit length of self-propelled travel is used to determine whether the remaining power of the mobile emergency power supply can reach the faulty vehicle for charging.

[0058] By adopting the above technical solution, the influence of flight resistance on the energy consumption of the mobile emergency power supply is further considered. By dynamically adjusting the power consumption per unit length of self-propelled travel, the system can more accurately evaluate the charging capacity of the power supply.

[0059] Optionally, the method further comprises:

[0060] Obtain the number of requests for emergency charging signals issued historically within a set time period in a set area;

[0061] and obtaining the number of historical portable emergency power supplies;

[0062] Analyze the growth trend based on the number of requests and the number of power supplies. Use the function to predict the increase in the number of power supplies in a set area within a set time period in the future, so that the number of power supplies is always greater than the number of requests.

[0063] By adopting the above technical solution, combining historical data and predicting the rising trend in quantity, an appropriate number of mobile emergency power supplies can be configured in advance, which will help ensure that the number of mobile emergency power supplies is sufficient, thereby improving the speed and efficiency of emergency response and ensuring that charging services can be provided to faulty vehicles in a timely manner in emergency situations.

[0064] In a second aspect, the present application provides a faulty vehicle charging system for an emergency mobile charging station, which adopts the following technical solution:

[0065] A faulty vehicle charging system for an emergency mobile charging station comprises a processor, wherein a program of any one of the above-mentioned faulty vehicle charging methods for an emergency mobile charging station is run in the processor.

[0066] In summary, the present application includes at least one of the following beneficial technical effects:

[0067] By introducing mobile emergency power sources, whether ground mobile devices or flying mobile devices, the response speed and flexibility of emergency charging services can be significantly improved. These devices can be quickly deployed near the faulty vehicles that need to be charged, greatly shortening the waiting time and improving the user experience.

[0068] Combining real-time navigation software, wind data acquisition, flight drag coefficient estimation and other technical means, the intelligent planning and dynamic adjustment of emergency charging routes are realized. The system can automatically select the optimal path and flight strategy based on external factors such as real-time road conditions and wind conditions, thereby ensuring the smooth completion of the charging task.

[0069] By collecting historical data and conducting analysis and forecasting, the system can identify future emergency charging demand trends in advance and formulate corresponding power scheduling and management strategies accordingly. This helps ensure that there is sufficient power reserve during peak demand periods, while avoiding resource waste during low demand periods, thus improving resource utilization efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0070] Figure 1 The invention discloses a method and steps for charging a faulty vehicle at an emergency mobile charging station.

[0071] Figure 2 It is a first method diagram for determining whether the remaining power of the mobile emergency power supply can reach the faulty vehicle for charging.

[0072] Figure 3It is a second method diagram for determining whether the remaining power of the mobile emergency power supply can reach the faulty vehicle for charging.

[0073] Figure 4 This is a step-by-step diagram of a method for adjusting the power consumption value according to the temperature.

[0074] Figure 5 It is a method step diagram that takes into account the situation that the power may not be enough to complete the charging and return during the process of the mobile emergency power supply performing the charging task.

[0075] Figure 6 The present invention is a method and steps diagram for calculating the path length and time consumption of an emergency charging route when a four-wheel mobile equipment can travel on a high-speed route.

[0076] Figure 7 The present invention is a method and steps diagram for calculating the path length and time consumption of an emergency charging route when the mobile emergency power source is a flying mobile device. DETAILED DESCRIPTION

[0077] Embodiments of the present application are described in detail below, examples of which are shown in the accompanying drawings.

[0078] In the description of this specification, the description with reference to the terms "certain embodiments", "one embodiment", "some embodiments", "illustrative embodiments", "examples", "specific examples", or "some examples" means that the specific features, structures, materials, or characteristics described in conjunction with the embodiments or examples are included in at least one embodiment or example of the present application. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials, or characteristics described may be combined in any one or more embodiments or examples in a suitable manner.

[0079] The present application embodiment discloses a method for charging a faulty vehicle at an emergency mobile charging station, referring to Figure 1 , including the following steps:

[0080] Get the emergency charging signal sent by the faulty vehicle; the emergency charging signal includes vehicle information and positioning information. The faulty vehicle is an electric vehicle, which is equipped with an intelligent vehicle-mounted system that can monitor the vehicle status in real time, including key information such as battery power and vehicle location. When the vehicle fails or is low on power, the system can automatically trigger the emergency charging signal and send the signal to the designated service platform or rescue center through the on-board communication module (such as GPS, 4G / 5G, etc.). The system can identify and send basic information of the vehicle, such as license plate number, vehicle model, vehicle identification number (VIN), etc. Through positioning technologies such as GPS, the service platform can track the location of the faulty vehicle in real time, so as to quickly understand the specific situation of the faulty vehicle and ensure that the mobile emergency power supply can arrive at the scene accurately and quickly.

[0081] According to the positioning information, the corresponding charging station is matched. Among them, the charging station includes the charging station set up for the mobile emergency power supply in the existing high-speed service area, and can also include the charging station set up for the mobile emergency power supply at the entrance and exit of the high-speed. In combination with map service providers (such as Amap, Baidu Map, etc.), the charging station data of the whole country and even the world will be integrated to form a huge charging station database. The charging station database is updated regularly to ensure that the location, status and other information of the charging station are accurate. In the matching process, the location information of the vehicle is compared with the location information in the charging station database to find the charging station within the set range of the faulty vehicle, such as the charging station within 20 kilometers. For example, the matching charging station can be marked on the map in the form of an icon, and its basic information such as location, distance, and charging type can be displayed. After clicking the icon, you can further view the detailed information of the charging station, including the number of charging piles, charging price, business hours, user evaluation, etc. Users can choose different types of charging stations such as fast charging, slow charging or super charging according to vehicle needs. In addition to considering the distance of the charging station, it is also necessary to consider the current road conditions and the remaining power of the vehicle to ensure that the charging station can be reached smoothly.

[0082] At the charging station, match the portable emergency power supply at the charging station. First, query the currently available portable emergency power supply in the management system of the charging station. The information of these power supplies (such as number, location, remaining power, etc.) should be stored in the database. Confirm the status of each portable emergency power supply to ensure that it is in an available state (such as not in use, sufficient power, etc.).

[0083] Obtain the location information of the mobile emergency power supply, and combine it with the positioning information to calculate the path length and time of the emergency charging route. Obtain the location information (latitude and longitude, etc.) of the selected mobile emergency power supply from the management system, and use the map service provider to calculate the shortest path or optimal path from the mobile emergency power supply to the faulty vehicle; based on the path planning results, calculate the actual length and estimated time of the path, such as considering road conditions, speed limits and other factors.

[0084] Obtain the remaining power of the mobile emergency power supply, and determine whether the remaining power of the mobile emergency power supply can reach the faulty vehicle for charging.

[0085] If possible, mark the portable emergency power source as an available power source. For all power sources marked as "available power sources", compare them according to the previously calculated path length or time of the emergency charging route; select the available power source with the shortest route or the shortest time in the emergency charging route to charge the faulty vehicle; the available power source travels to the faulty vehicle along the emergency charging route with the shortest path or the shortest time and charges it.

[0086] If none of them can be achieved, the road congestion may be serious at this time, and the nearby mobile emergency power supplies with sufficient power are not in the charging station, then a first temporary charging request is issued; it can be sent to the nearby emergency response center or related service platform through a wireless communication network (such as 4G / 5G, Wi-Fi, etc.). According to the first temporary charging request, a mobile emergency power supply within a nearby set range is called, and the nearby set range ranges from a few kilometers to tens of kilometers. Obtain the location information and power balance of the mobile emergency power supply; calculate a temporary emergency charging route. Among them, for each mobile emergency power supply that responds to the call, the system needs to obtain its current location information (latitude and longitude) and power balance. This information can be obtained through the GPS positioning system and the power monitoring system of the power supply itself. If the power balance of the mobile emergency power supply can reach the faulty vehicle for charging, it is judged as a temporary power supply. Similarly, for each temporary power supply, according to its power balance and the power consumption of the calculated emergency charging route, including the power consumption of driving to the faulty vehicle and returning to the origin, it is judged whether its power balance is sufficient to reach the faulty vehicle and charge. The temporary power supply generates a temporary emergency path according to the current position information and the positioning information of the faulty vehicle; from the temporary emergency path, the temporary power supply corresponding to the shortest path or the shortest time is selected, and the temporary power supply travels along the shortest temporary emergency path to the faulty vehicle and charges.

[0087] The system quickly understands the needs and location of the faulty vehicle by receiving the emergency charging signal containing vehicle information and positioning information sent by the faulty vehicle. According to the positioning information, the system can automatically match the nearest charging station and select the available mobile emergency power supply in the station. The automated matching process reduces manual intervention and improves the response speed. By obtaining the location information of the mobile emergency power supply and combining it with the positioning information of the faulty vehicle, the system can calculate the emergency charging route. At the same time, the system will also evaluate the remaining power of the mobile emergency power supply to determine whether it can reach the faulty vehicle for charging. It ensures the effective use of resources and avoids ineffective mobilization due to insufficient power. If the mobile emergency power supply in the station has sufficient remaining power, the system will select the power supply with the shortest emergency charging route or the shortest time from multiple available power supplies for charging. This optimization selection reduces the charging time and improves the rescue efficiency. If the power supply in the station cannot meet the demand, the system will issue the first temporary charging request and call the mobile emergency power supply on the high-speed route within the nearby set range; the scope of power dispatch is expanded and the flexibility of emergency response is improved. For the temporary power source that is called, the system will generate a temporary emergency path based on its current location and the location information of the faulty vehicle, and select the shortest path or the power source with the shortest time for charging. This step ensures that charging services can be provided quickly for the faulty vehicle even in the most urgent situations.

[0088] Reference Figure 2 , determine whether the remaining power of the mobile emergency power supply can reach the faulty vehicle for charging; the first method includes:

[0089] According to the location information and positioning information, combined with the mobile emergency power supply's speed classification and real-time navigation software, the path length of the emergency route is estimated. The location information of the mobile emergency power supply and the faulty vehicle, such as longitude and latitude, and the mobile emergency power supply's speed classification, such as low speed, medium speed, high speed, etc. Real-time navigation software, taking into account real-time road conditions and traffic rules. According to the location information and speed classification, combined with the real-time navigation software, the one-way path length from the current location of the mobile emergency power supply to the location of the faulty vehicle is estimated.

[0090] Calculate the available charge amount of the remaining power according to the remaining power;

[0091] Method 1: Available charging capacity = remaining power - 2 times the path length × power consumption per unit length of self-propelled travel; where 2 times the path length is the distance from the mobile emergency power supply to the charging station to the faulty vehicle, and the power consumption per unit length of self-propelled travel is the power consumption per unit length of the mobile emergency power supply during non-charging time. Since round trips are required, the total path length is twice the one-way path length. Method 1 assumes that the mobile emergency power supply consumes power both in the process of going to and returning to the charging station, and the power consumption per unit length is constant.

[0092] Method 2: Available charging capacity = remaining power - distance between two adjacent stations × power consumption per unit length of self-propelled travel. This method assumes that the mobile emergency power supply does not need to return to the original station immediately after completing the task, but directly drives to the next charging station to ensure the consistency of vehicle flow; Note that the mobile emergency power supply here is allowed to take special channels, and considering that the vehicle is charging while moving, returning to the original station may consume more power, so going directly to the next station is conducive to energy saving. In addition, in order not to aggravate congestion, in actual applications, if there are regulations that allow it, take special channels and do not occupy the normal driving channels on the highway.

[0093] The corresponding charging demand is matched according to the vehicle model and remaining power in the vehicle information. Due to the difference in vehicle model and battery status, the charging demand varies; the system can more accurately determine whether the remaining power of the mobile emergency power supply is sufficient, thereby avoiding invalid mobilization due to insufficient power and improving the efficiency and reliability of emergency response.

[0094] When the available charge amount is greater than the required charge amount, it is determined that the remaining charge of the mobile emergency power supply can reach the faulty vehicle for charging; otherwise, it is determined that it cannot reach the faulty vehicle for charging. If the available charge amount is greater than or equal to the required charge amount, it is determined that the remaining charge of the mobile emergency power supply can reach the faulty vehicle for charging. If the available charge amount is less than the required charge amount, it is determined that it cannot reach the faulty vehicle for charging.

[0095] First, according to the location information and positioning information of the faulty vehicle, combined with the classification of the travel speed of the mobile emergency power supply (such as fast, slow, etc.) and real-time navigation software, the path length of the emergency charging route can be estimated more accurately. Two methods for calculating the available charge are provided to adapt to different application scenarios and needs. Method 1 considers the distance from the mobile emergency power supply to the faulty vehicle from the charging station to the faulty vehicle, and multiplies it by the power consumption per unit length of self-propelled travel to estimate the power that the power supply may consume during driving. This method is more conservative and ensures that the power supply has enough power to return to the charging station. Method 2 is simplified to only consider the distance between two adjacent stations, which is suitable for situations where the path length is known or fixed. In addition, it is necessary to ensure that there is enough power left for the return of the mobile emergency power supply, so as to ensure the orderly operation of the mobile emergency power supply. Through the above scheme, the charging method of faulty vehicles at the emergency mobile charging station is further improved, and the reliability and efficiency of the charging service are improved.

[0096] Reference Figure 3 , to determine whether the remaining power of the mobile emergency power supply can reach the faulty vehicle for charging, the second method includes:

[0097] According to the location information and positioning information, combined with the mobile emergency power supply's speed classification and real-time navigation software, the path length of the emergency route is estimated. According to the location information and speed classification, combined with the real-time navigation software, the one-way path length from the current location of the mobile emergency power supply to the location of the faulty vehicle is estimated. According to the vehicle model and the remaining power of the vehicle in the vehicle information, the corresponding charging demand is matched. According to the vehicle model and the remaining power, the corresponding charging demand is matched by querying the preset database or algorithm.

[0098] The congestion situation of the emergency route is obtained in real time, and the congestion value is calculated according to the first algorithm. The first algorithm includes: dividing the path length into multiple driving paths according to the severity of the congestion, and calculating the path length of each driving path; using the severity of the congestion as the weight of the corresponding driving path, and using the weighted average method to calculate the congestion value = ∑ (corresponding congestion severity × corresponding driving path length).

[0099] For example:

[0100] The first driving route: length = 5 km, congestion severity = mild (assuming it is represented by a value of 1);

[0101] The second route: length = 3 km, congestion severity = medium (assuming it is represented by a value of 2);

[0102] The third driving route: length = 2 km, congestion severity = severe (assuming it is represented by a value of 3);

[0103] Congestion value = (1×5) + (2×3) + (3×2) = 17.

[0104] When the congestion value exceeds the set congestion threshold and the remaining power exceeds the set power, it is determined that the mobile emergency power supply can reach the faulty vehicle for charging; otherwise, it is determined that it cannot reach the faulty vehicle for charging. For example, the congestion threshold is 30 and the set power is 1000.

[0105] When the congestion value does not exceed the set congestion threshold, the self-power consumption value of the mobile emergency power supply is estimated according to the congestion value; the self-power consumption value = (congestion value + e) ​​× ∑ (corresponding severity of congestion × corresponding length of driving path × standard power consumption per unit length).

[0106] For example, power reserve = 500 (actual unit is kWh); congestion value = 10; e = 0.1;

[0107] The first driving route: length = 5 km, congestion severity = mild (assuming it is represented by a value of 1);

[0108] The second route: length = 3 km, congestion severity = medium (assuming it is represented by a value of 2);

[0109] The third driving route: length = 2 km, congestion severity = severe (assuming it is represented by a value of 3);

[0110] Standard power consumption per unit length = 1kWh / km;

[0111] Then, its own power consumption = (10 + 0.1) × ∑ ((1 × 5 × 1) + (2 × 3 × 1) + (3 × 2 × 1)) = 10.1 × 17 = 172 (approximate).

[0112] Note: In this embodiment, for the convenience of calculation, the congestion value, congestion threshold, set power and own power consumption value and other quantities involved in the calculation are calculated in a dimensionless manner.

[0113] If the difference between the remaining power and the power consumption value is greater than the charging demand, it is judged that the remaining power of the mobile emergency power supply can reach the faulty vehicle for charging; otherwise, it is judged that it cannot reach the faulty vehicle for charging.

[0114] By combining real-time navigation software and possible traffic data interfaces, the congestion situation of the emergency route can be obtained in real time; when the congestion value exceeds the set congestion threshold, it means that the road condition is very congested. At this time, even if the mobile emergency power supply has sufficient power reserve, it may run out of power due to long driving time. Therefore, the system sets an additional condition: the power reserve must exceed the set power reserve to determine that it can reach the faulty vehicle for charging. This ensures that in high congestion conditions, the power supply has enough power to complete the charging task and return to the charging station. When the congestion value does not exceed the set congestion threshold, the system estimates the self-power consumption value of the mobile emergency power supply based on the power reserve, congestion value and standard unit length power consumption. The consumption of the power reserve is adjusted through a formula to reflect the impact of congestion on the power consumption of the power supply during driving. By comparing the estimated self-power consumption value and the charging demand of the faulty vehicle, the system can finally determine whether the power reserve of the mobile emergency power supply can meet the charging demand. The intelligent and practical charging method of the faulty vehicle at the emergency mobile charging station is further enhanced, providing electric vehicle users with more reliable and efficient charging services.

[0115] Reference Figure 4 , the method further comprises:

[0116] Obtain real-time temperature data of the portable emergency power supply; obtain real-time temperature data of the portable emergency power supply through sensors or other devices.

[0117] According to the temperature range to which the real-time temperature data belongs, the temperature impact value matching the temperature range is obtained; and the power consumption value itself is adjusted according to the positive correlation of the temperature impact value.

[0118] For example, the following temperature ranges and corresponding temperature influence values ​​can be defined:

[0119] Temperature range 1: For example, -20℃ to -10℃; the temperature impact value = 1.2, which means that within this temperature range, the power supply performance decreases and the power consumption increases by 20%;

[0120] Temperature range 2: For example, -10℃ to 0℃; temperature impact value = 1.1, indicating that power consumption increases by 10%;

[0121] Temperature range 3: such as 0℃ to 25℃: Temperature impact value = 1.0, indicating power consumption under standard conditions, with no additional increase.

[0122] The adjusted power consumption value = temperature impact value × power consumption value;

[0123] The adjusted self-power consumption value is used to determine whether the remaining power of the mobile emergency power supply can reach the faulty vehicle for charging.

[0124] Taking into account the impact of temperature on the performance of electric vehicles, especially the reduction in power supply performance in low temperature weather; therefore, the temperature impact value is used to positively adjust its own power consumption value to more accurately reflect the amount of power required for the power supply to complete the charging task and return to the charging station under the current temperature conditions.

[0125] Reference Figure 5 , in the process of the mobile emergency power supply performing the charging task, considering that the power may not be enough to complete the charging and return, the method also includes:

[0126] During the charging process of the mobile emergency power supply, if the available charging capacity is less than the required capacity, a second temporary charging request shall be issued immediately. The purpose of this request is to find a nearby backup power supply to supplement the power or take over the charging task.

[0127] According to the second temporary charging request, within the nearby set range, a mobile emergency power supply located on the highway is selected as a backup power supply; the system needs to be within the nearby set range, such as a few kilometers, dozens of kilometers, etc.; the mobile emergency power supply located on the highway is selected as a backup option. Selecting a power supply on the highway can shorten the response time because the highway usually has better traffic conditions.

[0128] Determine the remaining power of the backup power source and whether the remaining power can reach the faulty vehicle for charging; for each selected backup power source, it is necessary to determine whether its remaining power is sufficient to reach the faulty vehicle for charging and return safely. At the same time, the temperature impact value and congestion value mentioned above can also be used to adjust the power consumption value of the backup power source itself to ensure the accuracy of the judgment.

[0129] If possible, select the backup power source with the shortest path or the shortest time to reach the faulty vehicle for charging. If there are multiple backup power sources with sufficient remaining power, then it is necessary to further select the backup power source with the shortest path or the shortest time. This can be achieved through the map service API or path planning algorithm to ensure that the backup power source can reach the faulty vehicle as soon as possible.

[0130] Since the vehicle is moving while charging, the path will change, so real-time monitoring is required to implement an accurate charging control strategy. If during the charging process, it is found that the mobile emergency power supply cannot meet the charging and return requirements, in order to ensure that the charging needs are met, other nearby power sources are temporarily requested as backup power sources to try to meet the charging needs with the lowest overall energy consumption.

[0131] When the mobile emergency power source is a four-wheel mobile device that can travel on a highway, the emergency charging route is a highway. The four-wheel mobile device is a motor vehicle that is electrically driven and equipped with intelligent driving technology. It is generally smaller than an ordinary electric vehicle and is only responsible for transporting batteries to charge the vehicle.

[0132] Reference Figure 6 , the method for calculating the path length and time consumption of the emergency charging route also includes the following steps:

[0133] Based on the positioning information and location information, combined with real-time navigation software, an emergency path is generated; the system first generates a preliminary emergency path based on the positioning information of the faulty vehicle and the current location information of the mobile emergency power supply, combined with real-time navigation software (such as Amap, Baidu Maps, etc.). This path will take into account factors such as the shortest distance or fastest arrival time of the high-speed route.

[0134] The emergency path is subdivided into fast lanes, middle lanes, slow lanes and emergency lanes that are allowed to travel. When the mobile emergency power source uses automatic driving technology to travel on the highway, when there is no traffic jam, the priority of lane selection is: fast lane > middle lane > slow lane; when there is a traffic jam in the lane, the lane selection is the emergency lane that is allowed to travel; when there is a traffic jam in the lane, the system should automatically switch to the emergency lane that is allowed to travel to ensure that the vehicle can pass through the congested area smoothly.

[0135] According to the priority selected roads, combined with the speed limit on the corresponding roads, the path length and time of the emergency charging route are estimated. Among them, the path length is the sum of the road lengths of each lane between the positioning information and the location information; the time taken = ∑ (total length of the corresponding type of road / maximum value of the corresponding speed limit).

[0136] When the mobile emergency power supply is a four-wheeled mobile device that can travel on a highway, the emergency charging route is naturally set as a highway. The system generates an emergency path based on positioning information and location information, combined with real-time navigation software. When the mobile emergency power supply uses autonomous driving technology to travel on a highway, the system will dynamically adjust the priority of lane selection based on real-time road conditions. Based on the roads selected by priority, the system estimates the path length and time required for the emergency charging route based on the speed limit on the corresponding road. Through the above technical solution, the system can plan emergency charging routes more accurately and dynamically adjust lane selection based on real-time road conditions; it helps to shorten the charging response time and improve the efficiency of charging services.

[0137] When the mobile emergency power source is a flying mobile device, the emergency charging route is an aerial flight route; the flying mobile device uses the flight technology of drones and is equipped with intelligent aerial navigation technology to transport batteries and charge electric vehicles. Aerial navigation technology mainly uses positioning navigation technology, combined with radar technology, to avoid buildings, trees, bridges, etc., and realize intelligent flight navigation. The flight altitude is within the allowable range specified in the actual application.

[0138] Reference Figure 7 , the method for calculating the path length and time consumption of the emergency charging route also includes the following steps:

[0139] According to the positioning information and the position information, the straight-line distance between the positioning information and the geographical location corresponding to the position information is calculated, and the straight-line distance is the path length.

[0140] Obtain wind data for the area corresponding to the straight-line distance. The wind data includes the location where the wind occurs, as well as the wind force and direction. The wind data is obtained through a meteorological service API or a dedicated weather monitoring system.

[0141] The straight-line path is divided into multiple areas according to the wind direction, and the flight angle in each area is calculated. The flight angle is the angle between the flight direction and the wind direction; wherein the flight direction is the direction from the place corresponding to the location information to the place corresponding to the positioning information.

[0142] The flight drag coefficient is estimated based on the wind force and flight angle: flight drag coefficient = f(flight angle, wind force) = k × wind force × cos (flight angle), where k is a constant related to the characteristics of the flight equipment.

[0143] For example, k is 0.02;

[0144] First area:

[0145] Flight angle: 45°, that is, the flight direction is 45° to the wind direction;

[0146] Wind force: 20m / s, assuming moderate wind force;

[0147] Calculate the flight drag coefficient: flight drag coefficient = 0.02 × 20 × cos45° ≈ 0.14;

[0148] Second area:

[0149] Flight angle: 15°, that is, the flight direction is 15° to the wind direction;

[0150] Wind force: 15m / s, assuming weak wind force;

[0151] Calculate the flight drag coefficient: flight drag coefficient = 0.02 × 15 × cos15° ≈ 0.29;

[0152] Elapsed time = ∑ ((1.5-drag coefficient of the area) × length of the area / standard flight speed); where the standard flight speed is the set safe flight speed. 1.5 is an empirical value used to adjust the flight time to take into account other flight factors that are not clearly quantified, such as acceleration, deceleration, and turning of the flight equipment.

[0153] For example, the first zone:

[0154] Flight drag coefficient: 0.1;

[0155] Area length: 50 km;

[0156] Standard flight speed: 100 km / h;

[0157] Second area:

[0158] Flight drag coefficient: 0.25;

[0159] Area length: 75 km;

[0160] Standard flight speed: also 100 km / h, which remains unchanged throughout the flight;

[0161] Then, the flight time of the first area is: time 1 = 100 (1.5 − 0.1) × 50 = 0.7 hours;

[0162] Flight time in the second area: time2 = 100 (1.5 − 0.25) × 75 = 0.9375 hours;

[0163] Elapsed time = time 1 + time 2 = 1.6375 hours.

[0164] When the mobile emergency power supply is a flying mobile device, it includes a telescopic support device for placement on the roof, or includes an adsorption device adsorbed on the roof. The telescopic support device is placed on the roof so that it can be quickly deployed into the air for charging when needed; the placement position can be the roof of a nearby flat-topped truck, or a flat position such as the ground. In addition, during actual use, the mobile emergency power supply can also follow the faulty vehicle. The roof adsorption device can be adsorbed by air pressure, or magnetic adsorption, and can be adsorbed on the roof of the faulty vehicle, or on the smooth top of a nearby truck, to ensure the stability of the mobile emergency power supply after it is grounded.

[0165] The emergency charging route is no longer a road on the ground, but a flight route in the air, which is not restricted by ground congestion; however, aerial flight is significantly affected by wind, and in order to more accurately estimate flight resistance and time, the system divides the straight-line path into multiple areas according to the direction of the wind; the system estimates the flight resistance coefficient based on the wind force and the flight angle; the flight time is obtained by adding up the flight time in each area.

[0166] The method also includes:

[0167] The power consumption per unit length of self-propelled walking is adjusted according to the size of the flight drag coefficient. The larger the flight drag coefficient, the greater the power consumption per unit length of self-propelled walking; the smaller the flight drag coefficient, the smaller the power consumption per unit length of self-propelled walking. For example, a linear relationship is used as an example: the adjusted power consumption per unit length = basic power consumption per unit length × (1 + α × flight drag coefficient); where α is an adjustment coefficient used to control the sensitivity of the flight drag coefficient to power consumption. This coefficient needs to be adjusted according to the actual test data of the equipment.

[0168] The adjusted power consumption per unit length of self-propelled travel is used to determine whether the remaining power of the mobile emergency power supply can reach the faulty vehicle for charging.

[0169] The effect of flight resistance on the energy consumption of the mobile emergency power supply is further considered. By dynamically adjusting the power consumption per unit length of self-propelled travel, the system can more accurately evaluate the charging capacity of the power supply.

[0170] The method also includes:

[0171] Obtain the number of requests for emergency charging signals issued historically within a set time period in a set area;

[0172] And obtain the number of historical portable emergency power supplies.

[0173] Analyze the growth trend based on the number of requests and the number of power supplies; use the function to predict the increase in the number of power supplies in the set area within the set time period in the future, so that the number of power supplies is always greater than the number of requests. Steps for data analysis: remove outliers, missing values, etc. to ensure the accuracy and completeness of the data. Use time series analysis methods to identify trends, seasonal changes and other characteristics in the data. Analyze the correlation between the number of requests and the number of power supplies, as well as their relationship with other possible influencing factors (such as weather, holidays, traffic conditions, etc.).

[0174] Based on the growth trend of historical data, statistical models or machine learning algorithms can be used to predict the power demand in a set area within a set time period in the future. A variety of forecasting methods can be used here, such as:

[0175] Linear regression: If the data shows a linear growth trend, a linear regression model can be used for prediction.

[0176] Time series forecasting: such as ARIMA model, seasonal decomposition time series (STL), etc., which are suitable for processing time series data with seasonal changes.

[0177] Machine learning algorithms: such as random forest, gradient boosted tree (GBM), neural network, etc. These algorithms can handle more complex nonlinear relationships and data features.

[0178] The goal of the prediction is to obtain the increase in the amount of power within a set period of time in the future to ensure that the amount of power is always greater than the requested amount.

[0179] According to the forecast results, corresponding strategies can be formulated to adjust the configuration of mobile emergency power supplies: if the forecast results show that future demand will increase significantly, the number of power supplies needs to be increased in advance; conversely, if demand will decrease, the number of power supplies can be appropriately reduced to reduce costs. According to the forecast results and regional characteristics, the layout and scheduling strategies of power supplies are optimized to improve the speed and efficiency of emergency response. Detailed emergency plans and backup plans are formulated for possible extreme situations (such as natural disasters, large-scale power outages, etc.).

[0180] Combining historical data and predicting the upward trend in quantity, configuring an appropriate number of mobile emergency power supplies in advance will help ensure that there are sufficient mobile emergency power supplies, thereby improving the speed and efficiency of emergency response and ensuring that charging services can be provided to faulty vehicles in a timely manner in emergency situations.

[0181] An embodiment of the present application further discloses a faulty vehicle charging system for an emergency mobile charging station, comprising a processor, wherein a program of any of the above-mentioned faulty vehicle charging methods for an emergency mobile charging station is running in the processor.

[0182] Although the embodiments of the present application have been shown and described above, it can be understood that the above embodiments are exemplary and cannot be understood as limitations on the present application. Ordinary technicians in this field can change, modify, replace and modify the above embodiments within the scope of the present application.

Claims

1. A method for charging a faulty vehicle at an emergency mobile charging station, characterized in that: The steps include: Obtaining an emergency charging signal sent by a faulty vehicle; the emergency charging signal includes vehicle information and positioning information; According to the positioning information, a corresponding charging station is matched; In the charging station, matching the portable emergency power supply in the charging station; Obtaining the location information of the mobile emergency power supply, and calculating the path length and time consumption of the emergency charging route in combination with the positioning information; Obtain the remaining power of the mobile emergency power supply, and determine whether the remaining power of the mobile emergency power supply can reach the faulty vehicle for charging: estimate the path length of the emergency route according to the position information and the positioning information, combined with the travel speed classification of the mobile emergency power supply and the real-time navigation software; calculate the available charging capacity of the remaining power according to the remaining power; available charging capacity = remaining power - 2 times the path length × power consumption per unit length of self-propelled travel; wherein 2 times the path length is the distance from the mobile emergency power supply to the faulty vehicle from the charging station, and the power consumption per unit length of self-propelled travel is the power consumption per unit length of the mobile emergency power supply during non-charging time; match the corresponding charging demand according to the vehicle model and the remaining power of the vehicle in the vehicle information; when the available charging capacity is greater than the charging demand, it is determined that the remaining power of the mobile emergency power supply can reach the faulty vehicle for charging; otherwise, it is determined that it cannot reach the faulty vehicle for charging; If it is possible, the mobile emergency power source is marked as an available power source, and the available power source corresponding to the shortest route or the shortest time in the emergency charging route is selected from the multiple available power sources to charge the faulty vehicle; the available power source travels to the faulty vehicle along the emergency charging route with the shortest route or the shortest time and charges the faulty vehicle; If neither is possible, a first temporary charging request is issued; the portable emergency power supply within a set range is called according to the first temporary charging request; the location information and power reserve of the portable emergency power supply are obtained; a temporary emergency charging route is calculated; if the power reserve of the portable emergency power supply can reach the faulty vehicle for charging, it is judged to be a temporary power supply; the temporary power supply generates a temporary emergency path according to the current location information and the positioning information of the faulty vehicle; from the temporary emergency paths, the temporary power supply corresponding to the shortest path or the shortest time is selected, and the temporary power supply travels along the shortest temporary emergency path to the faulty vehicle and charges.

2. The method for charging a faulty vehicle at an emergency mobile charging station according to claim 1, characterized in that: The method of calculating the available charge amount of the remaining power according to the remaining power can also be replaced by: Available charging capacity = remaining power - distance between two adjacent stations × power consumption per unit length of self-propelled travel.

3. The method for charging a faulty vehicle at an emergency mobile charging station according to claim 1, characterized in that: The method for determining whether the remaining power of the mobile emergency power supply can reach the faulty vehicle for charging also includes: According to the location information and the positioning information, combined with the travel speed classification of the mobile emergency power supply and the real-time navigation software, the path length of the emergency route is estimated; according to the vehicle model and the remaining power of the vehicle in the vehicle information, the corresponding charging demand is matched; Acquire the congestion situation of the emergency route in real time, and calculate the congestion value according to the first algorithm; wherein the first algorithm includes: dividing the path length into multiple driving paths according to the severity of the congestion, and calculating the path length of each driving path; using the severity of the congestion as the weight of the corresponding driving path, and using the weighted average method to calculate the congestion value = ∑ (corresponding congestion severity × corresponding driving path length); When the congestion value exceeds the set congestion threshold and the remaining power exceeds the set power, it is determined that the mobile emergency power source can reach the faulty vehicle for charging; otherwise, it is determined that the mobile emergency power source cannot reach the faulty vehicle for charging; When the congestion value does not exceed the set congestion threshold, the self-power consumption value of the mobile emergency power supply is estimated according to the congestion value; the self-power consumption value = (congestion value + e) ​​× ∑ (corresponding congestion severity × corresponding driving path length × standard unit length power consumption), where e is a constant; If the difference between the remaining power and the power consumption value is greater than the charging demand, it is determined that the remaining power of the mobile emergency power supply can reach the faulty vehicle for charging; otherwise, it is determined that it cannot reach the faulty vehicle for charging.

4. The method for charging a faulty vehicle at an emergency mobile charging station according to claim 3, characterized in that: The method also includes: Obtain real-time temperature data of the mobile emergency power supply; According to the temperature interval to which the real-time temperature data belongs, a temperature influence value matching the temperature interval is obtained; and the self-power consumption value is adjusted according to the positive correlation of the temperature influence value; The adjusted power consumption value = temperature impact value × power consumption value; The adjusted self-power consumption value is used to determine whether the remaining power of the mobile emergency power supply can reach the faulty vehicle for charging.

5. The method for charging a faulty vehicle at an emergency mobile charging station according to claim 2, characterized in that: The method also includes: During the charging process of the mobile emergency power supply, if the available charging amount is less than the required amount, a second temporary charging request is issued; According to the second temporary charging request, selecting the mobile emergency power source located on the highway within a nearby set range as a backup power source; Determining the remaining power of the backup power supply, and determining whether the remaining power can reach the faulty vehicle for charging; If possible, the backup power source with the shortest path or the shortest time is selected to reach the faulty vehicle for charging.

6. The method for charging a faulty vehicle at an emergency mobile charging station according to claim 2 or 3, characterized in that: When the mobile emergency power source is a four-wheel mobile device that can travel on a highway route, the emergency charging route is a highway route; The method for calculating the path length and time consumption of the emergency charging route also includes the following steps: Generate emergency routes based on positioning information and location information combined with real-time navigation software; The emergency path is subdivided into a fast lane, a middle lane, a slow lane and an emergency lane that is allowed to travel; when the mobile emergency power source uses the automatic driving technology to travel on a highway, when there is no traffic jam, the priority of lane selection is: fast lane> middle lane> slow lane; when there is a traffic jam in the lane, the lane selected is the emergency lane that is allowed to travel; According to the roads selected by priority and the speed limits on the corresponding roads, the path length and time of the emergency charging route are estimated; the path length is the sum of the road lengths of each lane between the positioning information and the location information; the time taken = ∑ (total length of the corresponding type of road / maximum value of the corresponding speed limit).

7. The method for charging a faulty vehicle at an emergency mobile charging station according to claim 2, characterized in that: When the mobile emergency power source is a flying mobile device, the emergency charging route is an aerial flight route; The method for calculating the path length and time consumption of the emergency charging route also includes the following steps: Calculate the straight-line distance between the geographical locations corresponding to the positioning information and the location information according to the positioning information and the location information, where the straight-line distance is the path length; Obtaining wind data of the area corresponding to the straight-line distance, wherein the wind data includes the location where the wind occurs, and the wind force and direction; The path on the straight-line distance is divided into multiple areas according to the wind direction, and the flight angle in each area is calculated, where the flight angle is the angle between the flight direction and the wind direction; wherein the flight direction is the direction from the location corresponding to the position information to the location corresponding to the positioning information; The flight drag coefficient is estimated according to the wind force and the flight angle, where the flight drag coefficient = f (flight angle, wind force) = k × wind force × cos (flight angle), where k is a constant; Elapsed time = ∑ ((1.5-region's flight resistance coefficient) × region's length / standard flight speed); where the standard flight speed is the set safe flight speed; When the movable emergency power supply is a flying mobile device, it includes a telescopic supporting device for being placed on the roof, or includes an adsorption device adsorbed on the roof.

8. The method for charging a faulty vehicle at an emergency mobile charging station according to claim 7, characterized in that: The method also includes: The power consumption per unit length of self-propelled walking is adjusted according to the size of the flight drag coefficient. The larger the flight drag coefficient, the greater the power consumption per unit length of self-propelled walking; the smaller the flight drag coefficient, the smaller the power consumption per unit length of self-propelled walking; The adjusted power consumption per unit length of self-propelled travel is used to determine whether the remaining power of the mobile emergency power supply can reach the faulty vehicle for charging.

9. The method for charging a faulty vehicle at an emergency mobile charging station according to claim 1, characterized in that: The method also includes: Obtain the number of requests for emergency charging signals issued in the past within a set time period in a set area; and obtain the number of historical portable emergency power supplies; Analyze the growth trend based on the number of requests and the number of power supplies. Use the function to predict the increase in the number of power supplies in a set area within a set time period in the future, so that the number of power supplies is always greater than the number of requests.

10. A faulty vehicle charging system for an emergency mobile charging station, characterized in that: It comprises a processor, in which runs a program of a method for charging a faulty vehicle at an emergency mobile charging station as claimed in any one of claims 1 to 9.

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