New energy automobile power management system based on 5G technology

Abstract

The invention discloses a new energy automobile power supply management system based on a 5G technology, relates to the technical field of new energy automobile power supply management, and aims to solve the technical problem that a current system often has relatively large delay in information uploading and is difficult to meet data requirements of intelligent management of a new energy automobile. The detection terminal in the vehicle-mounted monitor is provided with various high-precision sensors, the precision of the sensor for acquiring the battery voltage can reach the millivolt level, so that the battery state is accurately reflected, the information is instantly transmitted to the background server through the 5G communication terminal, the timeliness of data acquisition is improved, a solid foundation is provided for subsequent analysis, and the real-time performance of the vehicle-mounted monitor is improved. When the vehicle runs at a high speed, the power supply information is uploaded in real time, so that the background can quickly judge the battery load condition, and driving safety is guaranteed. According to the invention, real-time acquisition and uploading of information can be realized, and omnibearing data support is provided for intelligent management of vehicles.

Description

Technical Field

[0001] The present invention relates to the technical field of new energy vehicle power management, and more specifically, to a new energy vehicle power management system based on 5G technology. Background Art

[0002] With the increasing global awareness of environmental protection and increasingly stringent emission restrictions on traditional fuel vehicles, the new energy vehicle industry has developed rapidly. However, the power management problem of new energy vehicles has gradually become one of the key factors restricting its further development and popularization.

[0003] The traditional power management system of new energy vehicles has obvious deficiencies in information collection, transmission and processing. In terms of information collection, the accuracy of sensors is limited and the types are single, making it difficult to comprehensively and accurately obtain various parameters of the battery. For example, the monitoring of battery voltage, current, temperature, etc. is not accurate enough, and it is impossible to timely discover potential safety hazards and performance degradation problems of the battery. At the same time, data transmission mostly relies on low-speed, high-latency communication networks, resulting in slow information interaction between the vehicle and the background. It is difficult for the background server to grasp the real-time power status of the vehicle in a timely manner, and thus it is impossible to effectively analyze and manage the charging needs of the vehicle, battery health status, etc. The emergence of 5G technology provides a new opportunity to solve these problems. The 5G network has the advantages of high speed, low latency, large capacity and high reliability. It can realize real-time and efficient communication between the vehicle and the background server, and meet the needs of new energy vehicle power management for fast data transmission and precise control. Therefore, the power management system has made many improvements in combination with the 5G network.

[0004] However, the existing management system has insufficient sensor accuracy in information collection. For example, the accuracy of collecting battery voltage can only reach the volt level, which makes it difficult to accurately reflect the subtle changes in the battery state and provide accurate data for battery health assessment. In terms of communication transmission, traditional network technology is often used, and the data transmission delay is high. In scenarios where the vehicle is driving at high speed and has high requirements for power status monitoring, the background cannot obtain power information in time, making it difficult to quickly judge the battery load and ensure driving safety. Moreover, the untimely acquisition of data makes it difficult to conduct all-round intelligent management of the vehicle, making it difficult to meet the needs of efficient operation of new energy vehicles, limiting the full play of vehicle performance and the improvement of user experience. In view of this, we propose a new energy vehicle power management system based on 5G technology. Summary of the invention

[0005] The purpose of this invention is to overcome the shortcomings of the prior art, adapt to actual needs, and provide a new energy vehicle power management system based on 5G technology to solve the technical problem that the current system often has a large delay in information uploading and is difficult to meet the data requirements of intelligent management of new energy vehicles.

[0006] In order to solve the above technical problems, the present invention provides the following technical solutions: a new energy vehicle power management system based on 5G technology, comprising:

[0007] On-board monitoring device, used to collect the location information, power information and power information of electric vehicles in real time, and upload the collected information to the 5G communication terminal;

[0008] 5G communication terminal, used to transmit information to the backend server;

[0009] The backend server is used to receive and save information uploaded by electric vehicles through 5G communication terminals, analyze the stored information of electric vehicles, send charging power alarm information to electric vehicles according to the power information of electric vehicles, locate and screen out electric vehicles within a certain range according to the location information of electric vehicles, send charging station recommendation information to the screened electric vehicles, and receive charging requests from electric vehicles at the same time, obtain the charging appointment time, power information and location information of the electric vehicle from the charging request information, and recommend charging piles to electric vehicles based on the charging appointment time and power information.

[0010] Preferably, the method in which the background server sends charging power alarm information to the electric vehicle based on the power information of the electric vehicle is as follows: the background server obtains the most recent power information from the received electric vehicle information, and divides the remaining power from the current time by the power consumption per kilometer of the electric vehicle, thereby obtaining the drivable distance of the electric vehicle; according to the current position and drivable distance of the electric vehicle, an estimated arrival time at the nearest charging station is obtained; if the current time is night, if the time period between the current time and the most recent charging end time is less than the estimated arrival time, the background server sends a power alarm signal to the electric vehicle; if the current time is daytime, if the time period between the current time and the most recent charging end time is less than the estimated arrival time, and the time period between the current time and the next charging start time is less than the estimated arrival time, the background server sends a power alarm signal to the electric vehicle

[0011] Preferably, the method for the background server to send charging station recommendation information to the screened electric vehicles is as follows: screen out the electric vehicles within the positioning range, and establish a collection including the electric vehicle information within the positioning range; the background server divides the current time into different charging time periods, obtains the number of free charging piles at the charging station in all charging time periods, and obtains a collection with charging stations as elements; matches the charging station collection with the electric vehicle information collection, and obtains charging stations where the available time of the idle charging piles at each charging station is greater than the estimated arrival time of the electric vehicle; according to the number of electric vehicles within the positioning range, screen out the three charging stations with the largest number of electric vehicles among all charging stations within a certain range, and send the three charging stations and their free charging pile information to the electric vehicle.

[0012] Preferably, the method for the background server to recommend charging piles to the electric vehicle is as follows: establish a charging pile set, divide the charging piles into three gears according to their positions, the number of charging piles in the three gears is equal, obtain the number of free charging piles in each gear within the reservation time of the electric vehicle, and obtain a charging pile set according to the free charging piles; obtain all charging piles whose number of free charging piles at the reservation time of the electric vehicle is equal to the number of charging piles in the gear, and obtain a three-gear charging pile set; prioritize the charging piles in the charging pile set according to the gear, and recommend the charging piles in the charging pile set to the electric vehicle; draw a circle with the electric vehicle position as the center and the distance from the charging pile to the electric vehicle position as the radius, obtain the overlapping part of the projection of the charging pile in the area where the electric vehicle is located, and recommend the charging pile with the largest overlap within the circle of the projection of the area where the electric vehicle is located to the electric vehicle.

[0013] Preferably, the vehicle-mounted monitoring instrument includes a detection terminal, and the detection terminal includes multiple second 5G communication modules for collecting battery voltage, battery temperature, battery current, charging voltage, charging current, charger temperature, battery liquid level status, charger self-test status, battery coolant temperature, and battery health status; the background server includes a main control module for processing data and an information monitoring platform for monitoring charging conditions, and the second 5G communication module, the main control module and the information monitoring platform are connected in sequence; the second 5G communication module is used to transmit the electric vehicle information collected by the detection terminal to the information monitoring platform through the 5G network and the main control module; the information monitoring platform is used to receive and analyze the electric vehicle information, and send the electric vehicle information collected by the detection terminal to the background server through the 5G network and the main control module; the background server also includes a storage module for storing electric vehicle information and a control module for setting the operating mode; the control module is used to set the operating mode of the background server, and the storage module is used to save the electric vehicle information; the vehicle-mounted monitoring instrument is also used to obtain the power supply information and power information of the electric vehicle detected by the vehicle-mounted monitoring instrument from the detection terminal, and upload the information to the background server through the first 5G communication module.

[0014] Preferably, there are multiple detection terminals; the number of the second 5G communication modules is the same as the detection terminals, and the on-board monitoring instrument classifies the detection terminals according to the detection information of the on-board monitoring instrument, and corresponds one second 5G communication module to each detection terminal after classification; the on-board monitoring instrument is also used to send the power supply information and power information of the electric vehicle detected by the detection terminal to the electric vehicle through the second 5G communication module and the main control module.

[0015] Preferably, the background server also includes multiple charging pile management modules for detecting the operation of the charging piles; the number of the charging pile management modules is the same as the charging piles, and they correspond one-to-one to the charging piles; the charging pile management module includes a charging pile data collection module for collecting the idle charging status of the charging piles, collecting the usage status and fault status of the charging piles, the charging pile management module is used to monitor the idle state, usage status and fault status of the charging piles, and send the module detection information of the idle state, usage status and fault status of the charging piles to the background server through the charging pile data collection module, and the charging pile data collection module connects the charging pile management module and the background server through the 5G network.

[0016] Preferably, the charging pile management module is also used to obtain the number of idle charging piles and the average value L of the reserved idle number of the corresponding charging piles; when the electric vehicle sends a charging request to the background server, the charging pile management module obtains the charging reservation time of the electric vehicle, and when the number of electric vehicles in the next time period of the charging reservation time is greater than L, the charging pile management module reminds the electric vehicle that there are no idle charging piles, and when the number of electric vehicles in the next time period of the charging reservation time is less than or equal to L, the charging pile management module sends charging information to the electric vehicle; the charging information includes the charging reservation time, the current position of the electric vehicle, the gear position of the electric vehicle, and the reserved idle number of the electric vehicle at the charging reservation time.

[0017] Preferably, the formula for obtaining the average value L of the number of reserved idle charging piles in the charging pile management module is as follows:

[0018]

[0019] Assume that the time point when the charging pile management module starts is t1, the number of idle charging piles obtained at time point t2 after time point t1 is Q, and the number of electric vehicles is F. It represents the number of free reservations corresponding to the i-th electric car.

[0020] Preferably, the charging pile management module is also used to obtain the distance between the current position of the electric vehicle and the charging pile where the charging pile management module is located, and recommend the charging pile closest to the electric vehicle.

[0021] Compared with the prior art, the present invention has the following beneficial effects:

[0022] 1. The present invention equips the detection terminal in the vehicle-mounted monitoring instrument with a variety of high-precision sensors, such as the sensor for collecting battery voltage with an accuracy of up to millivolt level, so as to accurately reflect the battery status. Through the 5G communication terminal, the information is instantly transmitted to the background server, which not only improves the timeliness of data acquisition, but also provides a solid foundation for subsequent analysis. When the vehicle is driving at high speed, the real-time upload of power supply information allows the background to quickly determine the battery load situation and ensure driving safety. The present invention can realize the real-time collection and upload of information, and provide all-round data support for the intelligent management of vehicles.

[0023] 2. The present invention uses big data and intelligent algorithms to analyze power information through the server, and combines the vehicle's historical energy consumption, road conditions and battery attenuation to predict the remaining mileage. After locating the vehicle, it screens the surrounding charging stations, referring to factors such as the completeness of their facilities, prices and user reviews. For example, in the vicinity of tourist attractions, priority is given to recommending charging stations with complete supporting facilities and reasonable prices. Through precise analysis and recommendation, the user's charging experience is improved and the vehicle is guaranteed to have sufficient power. The present invention conducts a comprehensive analysis of electric vehicle information through the background server, sends charging power alarm signals and charging station recommendation information, so that drivers can pay attention to the power situation in time and find the nearest charging station to improve the user's charging experience.

[0024] 3. The present invention first classifies the charging piles by location through the server, and divides the gears into gears considering factors such as their power and frequency of use. When obtaining the number of idle reservations, the trend is predicted in combination with historical reservation data, and a collection of charging piles that match the vehicle's needs is screened out. During the rush hour after get off work on weekdays, high-power and idle charging piles are recommended first. When recommending with the vehicle location as the center of the circle, the surrounding traffic conditions are considered to avoid recommending charging piles that are difficult to reach due to road restrictions or congestion, so as to provide users with a convenient and efficient charging solution. The present invention recommends charging piles based on the charging reservation time, power information and location information of the electric vehicle through the background server, optimizes the charging solution, and improves the charging efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] Figure 1 It is a schematic diagram of the system structure of the present invention. DETAILED DESCRIPTION

[0026] Embodiment 1, as Figure 1 As shown, the present invention relates to a new energy vehicle power management system based on 5G technology, comprising:

[0027] The on-board monitoring device is used to collect the location information, power information and power information of electric vehicles in real time, and upload the collected information to the 5G communication terminal.

[0028] The vehicle-mounted monitoring instrument includes a detection terminal, which includes multiple second 5G communication modules for collecting battery voltage, battery temperature, battery current, charging voltage, charging current, charger temperature, battery liquid level status, charger self-test status, battery coolant temperature, and battery health status; the background server includes a main control module for processing data and an information monitoring platform for monitoring charging conditions, and the second 5G communication module, the main control module and the information monitoring platform are connected in sequence; the second 5G communication module is used to transmit the electric vehicle information collected by the detection terminal to the information monitoring platform through the 5G network and the main control module; the information monitoring platform is used to receive and analyze the electric vehicle information, and send the electric vehicle information collected by the detection terminal to the background server through the 5G network and the main control module; the background server also includes a storage module for storing electric vehicle information and a control module for setting an operating mode; the control module is used to set the operating mode of the background server, and the storage module is used to save electric vehicle information; the vehicle-mounted monitoring instrument is also used to obtain the power supply information and power information of the electric vehicle detected by the vehicle-mounted monitoring instrument from the detection terminal, and upload the information to the background server through the first 5G communication module.

[0029] There are multiple detection terminals; the number of the second 5G communication modules is the same as the detection terminals. After the on-board monitoring instrument classifies the detection terminals according to the detection information of the on-board monitoring instrument, each classified detection terminal corresponds to a second 5G communication module; the on-board monitoring instrument is also used to send the power supply information and power information of the electric vehicle detected by the detection terminal to the electric vehicle through the second 5G communication module and the main control module.

[0030] The multiple second 5G communication modules equipped in the detection terminal of the vehicle-mounted monitoring instrument have a sophisticated operating mechanism at the microscopic level of data collection. The monitoring of battery voltage is not a simple acquisition of numerical values, but a high-precision sensor that can be accurate to several decimal places to capture subtle voltage changes during the battery charging and discharging process, so as to more accurately judge the battery performance status. When collecting battery temperature, sensors are distributed in key parts of the battery, such as the core heating area of ​​the battery and the position near the heat dissipation device, forming a multi-point monitoring network, so that the temperature distribution of the battery can be fully and real-time grasped, and once a local temperature shows an abnormal increase trend, feedback can be quickly provided.

[0031] When the on-board monitoring instrument classifies the detection terminals based on the detection information, the classification basis covers a variety of factors. For example, according to the relevance of electrical parameters, the current and voltage acquisition terminals directly related to battery charging and discharging are grouped into one category, and the temperature, liquid level and other acquisition terminals that reflect the physical state of the battery are grouped into another category. An efficient data transmission channel is established between each type of detection terminal and the corresponding second 5G communication module, and advanced communication protocols are used to ensure the integrity and accuracy of the data during transmission, avoiding data loss or errors. Moreover, when the on-board monitoring instrument uploads the power supply information and power information to the background server through the first 5G communication module, it will also perform preliminary sorting and screening of the data, remove some obviously abnormal or interfering data, and only send out valid and reliable data, reducing the data processing burden of the background server, while improving the data quality of the entire system.

[0032] 5G communication terminal, used to transmit information to the backend server;

[0033] The backend server is used to receive and save information uploaded by electric vehicles through 5G communication terminals, analyze the stored information of electric vehicles, send charging power alarm information to electric vehicles according to the power information of electric vehicles, locate and screen out electric vehicles within a certain range according to the location information of electric vehicles, send charging station recommendation information to the screened electric vehicles, and receive charging requests from electric vehicles at the same time, obtain the charging appointment time, power information and location information of the electric vehicle from the charging request information, and recommend charging piles to electric vehicles based on the charging appointment time and power information.

[0034] The method for the background server to send charging power alarm information to the electric vehicle based on the power information of the electric vehicle is as follows: the background server obtains the most recent power information from the received electric vehicle information, and divides the remaining power from the current time by the power consumption per kilometer of the electric vehicle to obtain the drivable distance of the electric vehicle; according to the current position and drivable distance of the electric vehicle, the estimated arrival time at the nearest charging station is obtained; if the current time is night, if the time period between the current time and the most recent charging end time is less than the estimated arrival time, the background server sends a power alarm signal to the electric vehicle; if the current time is daytime, if the time period between the current time and the most recent charging end time is less than the estimated arrival time, and the time period between the current time and the next charging start time is less than the estimated arrival time, the background server sends a power alarm signal to the electric vehicle.

[0035] The method for the background server to recommend charging piles to the electric vehicle is as follows: establishing a charging pile set, dividing the charging piles into three gears according to their positions, the number of charging piles in the three gears is equal, obtaining the number of free charging piles in each gear within the reservation time of the electric vehicle, and obtaining a charging pile set according to the free charging piles; obtaining all charging piles whose number of free charging piles in the reservation time of the electric vehicle is equal to the number of charging piles in the gear, and obtaining a three-gear charging pile set; arranging the charging piles in the charging pile set according to the high and low gears, and recommending the charging piles in the charging pile set to the electric vehicle; drawing a circle with the electric vehicle position as the center and the distance from the charging pile to the electric vehicle position as the radius, obtaining the overlapping part of the projection of the charging pile in the area where the electric vehicle is located, and recommending the charging pile with the largest overlap in the circle of the projection of the area where the electric vehicle is located to the electric vehicle.

[0036] The background server also includes multiple charging pile management modules for detecting the operation of charging piles; the number of the charging pile management modules is the same as the charging piles, and they correspond one-to-one to the charging piles; the charging pile management module includes a charging pile data collection module for collecting the idle charging status of the charging piles, collecting the usage status and fault status of the charging piles, the charging pile management module is used to monitor the idle state, usage status and fault status of the charging piles, and send the module detection information of the idle state, usage status and fault status of the charging piles to the background server through the charging pile data collection module, and the charging pile data collection module connects the charging pile management module and the background server through the 5G network.

[0037] The charging pile management module is also used to obtain the number of idle charging piles and the average value L of the reserved idle number of the corresponding charging piles; when the electric vehicle sends a charging request to the background server, the charging pile management module obtains the charging reservation time of the electric vehicle, and when the number of electric vehicles in the next time period of the charging reservation time is greater than L, the charging pile management module reminds the electric vehicle that there are no idle charging piles, and when the number of electric vehicles in the next time period of the charging reservation time is less than or equal to L, the charging pile management module sends charging information to the electric vehicle; the charging information includes the charging reservation time, the current position of the electric vehicle, the gear position of the electric vehicle, and the reserved idle number of the electric vehicle at the charging reservation time.

[0038] The formula for obtaining the average value L of the number of reserved idle charging piles in the charging pile management module is as follows:

[0039]

[0040] Assume that the time point when the charging pile management module starts is t1, the number of idle charging piles obtained at time point t2 after time point t1 is Q, and the number of electric vehicles is F. It represents the number of free reservations corresponding to the i-th electric car.

[0041] The charging pile management module is also used to obtain the distance between the current position of the electric vehicle and the charging pile where the charging pile management module is located, and recommend the charging pile closest to the electric vehicle.

[0042] When the backend server processes the electric vehicle power alarm information, after obtaining the most recent power information of the electric vehicle, when calculating the remaining power mileage, it will call a huge database, which stores the actual power consumption data of different vehicle models and different battery models under various road conditions. Through intelligent algorithms, these data are analyzed and matched, and combined with the specific conditions of the current vehicle, a more accurate power consumption value per kilometer is obtained, and then the drivable distance is calculated. For example, if the database records that the average power consumption per kilometer of a certain electric vehicle in congested urban road conditions is 0.2 degrees, and on a smooth highway it is 0.15 degrees, the server will select the appropriate power consumption value for calculation based on the current road condition type of the vehicle.

[0043] In terms of determining the estimated time of arrival at the nearest charging station, the backend server is deeply integrated with a professional map navigation system, which not only obtains real-time traffic information, but also performs predictive analysis in combination with historical traffic data. For example, during the morning and evening rush hours on weekdays, the server will refer to the average speed and congestion of the road section during the same period of the past week to correct the estimated time of arrival. For the judgment logic of the power alarm during the day and night, the server will also take into account the impact of seasonal changes and sunshine duration in different regions on user travel habits. On winter nights in the north, due to the low temperature, the performance of the battery will decline. At this time, the server may appropriately shorten the alarm time threshold to ensure that the vehicle has enough power to cope with the driving needs in cold weather; in the summer daytime in the south, considering the impact of high temperature on the battery and the fact that users may turn on air conditioners and other equipment to increase power consumption, the server will also adjust the alarm conditions accordingly to remind users to charge more accurately.

[0044] When the backend server classifies the charging piles, it takes into account many complex factors and builds a multi-dimensional evaluation system. In addition to the distance between the charging pile and the electric car, the population density of the area where the charging pile is located, the activity of surrounding commercial activities, the size of the traffic flow, the power level of the charging pile, the type of charging interface, etc. are also taken into consideration. For example, in densely populated downtown commercial areas, areas equipped with high-power fast-charging charging piles and surrounding supporting facilities (such as nearby restaurants, shopping centers, etc.) are classified as high-end; while in remote suburbs or old communities, the charging piles have low power and the surrounding transportation is relatively inconvenient, which are classified as low-end.

[0045] When obtaining the number of free reservations for charging piles in each gear, the server uses a method that combines real-time data updates and predictions. By connecting to the data of major charging pile operation platforms, the current reservation situation is obtained, and the historical reservation data is analyzed using machine learning algorithms to predict reservation trends in different time periods in the future. After screening out a set of charging piles with qualified free reservations, the server will also consider the user's personalized preferences when recommending charging piles based on the gear level. If the user has pre-set preferences for fast-charging charging piles or prefers to charge in a specific area in the system, the server will incorporate these preference factors into the recommendation algorithm to provide users with charging pile recommendation solutions that better meet their needs.

[0046] The server uses advanced spatial positioning technology and graphics algorithms to recommend nearby charging piles with the electric vehicle location as the center. By accurately calculating the geographical location information of the charging piles and the real-time location of the electric vehicle, a distribution map of the charging piles around the electric vehicle is drawn, and the overlapping parts of the projections are determined through complex geometric calculations. In this process, practical factors such as the direction of traffic on the road, one-way restrictions, and the location of the entrance to the parking lot are also taken into account to ensure that the recommended charging piles have the best choice in terms of actual accessibility, and avoid recommending to users some charging piles that are close but difficult to reach due to traffic restrictions.

[0047] A close communication connection and intelligent control mechanism are established between each charging pile management module and the corresponding charging pile. The charging pile data collection module can not only collect the idle charging status, usage status and fault status of the charging pile in real time, but also monitor the status of key components of the charging pile (such as charging guns, charging modules, etc.), collect the temperature, current, voltage and other parameters of the equipment through built-in sensors, and predict the potential fault hazards of the equipment in advance.

[0048] When calculating the average value L of the number of idle charging piles and the number of scheduled idle charging piles, the charging pile management module adopts a dynamic weighting method. In addition to considering the charging pile usage data at time points t1 and t2, different weights are assigned according to the importance of different time periods. For example, during the peak charging period during the day on weekdays, the data weight during this period will be relatively high, because it can better reflect the busyness of the charging piles and the demand trend of users; while during low-peak periods such as late at night, the data weight is relatively low. The average value L calculated in this way is more in line with the actual usage and provides a more valuable reference for the subsequent charging pile resource scheduling.

[0049] When an electric vehicle sends a charging request, the interaction between the charging pile management module and the background server is fast and efficient. It can obtain the charging reservation time of the electric vehicle in a very short time and quickly compare it with the locally stored charging pile usage plan. At the same time, the charging pile management module also has a certain degree of autonomous decision-making ability. When it is found that a charging pile may have a risk of failure or maintenance needs within the reservation time, even if it is currently displayed as idle, it will automatically exclude it from the recommendation list, and promptly notify the background server and maintenance personnel for processing, ensuring that users can use safe and reliable charging piles for charging, and ensuring the smooth progress of the entire charging process.

[0050] The embodiments of the present invention disclose preferred embodiments, but are not limited thereto. A person skilled in the art can easily understand the spirit of the present invention based on the above embodiments and make different extensions and changes. However, as long as they do not deviate from the spirit of the present invention, they are all within the protection scope of the present invention.

Claims

1. A new energy vehicle power management system based on 5G technology, characterized in that: include: On-board monitoring device, used to collect the location information, power information and power information of electric vehicles in real time, and upload the collected information to the 5G communication terminal; 5G communication terminal, used to transmit information to the backend server; The backend server is used to receive and save information uploaded by electric vehicles through 5G communication terminals, analyze the stored information of electric vehicles, send charging power alarm information to electric vehicles according to the power information of electric vehicles, locate and screen out electric vehicles within a certain range according to the location information of electric vehicles, send charging station recommendation information to the screened electric vehicles, and receive charging requests from electric vehicles at the same time, obtain the charging appointment time, power information and location information of the electric vehicle from the charging request information, and recommend charging piles to electric vehicles based on the charging appointment time and power information.

2. According to claim 1, a new energy vehicle power management system based on 5G technology is characterized in that: The method for the background server to send charging power alarm information to the electric vehicle based on the power information of the electric vehicle is as follows: the background server obtains the most recent power information from the received electric vehicle information, and divides the remaining power from the current time by the power consumption per kilometer of the electric vehicle to obtain the drivable distance of the electric vehicle; according to the current position and drivable distance of the electric vehicle, the estimated arrival time at the nearest charging station is obtained; if the current time is night, if the time period between the current time and the most recent charging end time is less than the estimated arrival time, the background server sends a power alarm signal to the electric vehicle; if the current time is daytime, if the time period between the current time and the most recent charging end time is less than the estimated arrival time, and the time period between the current time and the next charging start time is less than the estimated arrival time, the background server sends a power alarm signal to the electric vehicle.

3. According to claim 2, a new energy vehicle power management system based on 5G technology is characterized in that: The method for the background server to send charging station recommendation information to the screened electric vehicles is as follows: the electric vehicles within the positioning range are screened out, and a collection including the electric vehicle information within the positioning range is established; the background server divides the current time into different charging time periods, obtains the number of free charging piles at the charging station in all charging time periods, and obtains a collection with charging stations as elements; the charging station collection is matched with the electric vehicle information collection to obtain charging stations where the available time of the free charging piles at each charging station is greater than the estimated arrival time of the electric vehicle; according to the number of electric vehicles within the positioning range, the three charging stations with the largest number of electric vehicles among all charging stations within a certain range are screened out, and the three charging stations and their free charging pile information are sent to the electric vehicle.

4. According to claim 3, a new energy vehicle power management system based on 5G technology is characterized in that: The method for the background server to recommend charging piles to the electric vehicle is as follows: establishing a charging pile set, dividing the charging piles into three gears according to their positions, the number of charging piles in the three gears is equal, obtaining the number of free charging piles in each gear within the reservation time of the electric vehicle, and obtaining a charging pile set according to the free charging piles; obtaining all charging piles whose number of free charging piles in the reservation time of the electric vehicle is equal to the number of charging piles in the gear, and obtaining a three-gear charging pile set; arranging the charging piles in the charging pile set according to the high and low gears, and recommending the charging piles in the charging pile set to the electric vehicle; drawing a circle with the electric vehicle position as the center and the distance from the charging pile to the electric vehicle position as the radius, obtaining the overlapping part of the projection of the charging pile in the area where the electric vehicle is located, and recommending the charging pile with the largest overlap in the circle of the projection of the area where the electric vehicle is located to the electric vehicle.

5. According to claim 4, a new energy vehicle power management system based on 5G technology is characterized in that: The vehicle-mounted monitoring instrument includes a detection terminal, which includes multiple second 5G communication modules for collecting battery voltage, battery temperature, battery current, charging voltage, charging current, charger temperature, battery liquid level status, charger self-test status, battery coolant temperature, and battery health status; the background server includes a main control module for processing data and an information monitoring platform for monitoring charging conditions, and the second 5G communication module, the main control module and the information monitoring platform are connected in sequence; the second 5G communication module is used to transmit the electric vehicle information collected by the detection terminal to the information monitoring platform through the 5G network and the main control module; the information monitoring platform is used to receive and analyze the electric vehicle information, and send the electric vehicle information collected by the detection terminal to the background server through the 5G network and the main control module; the background server also includes a storage module for storing electric vehicle information and a control module for setting an operating mode; the control module is used to set the operating mode of the background server, and the storage module is used to save electric vehicle information; the vehicle-mounted monitoring instrument is also used to obtain the power supply information and power information of the electric vehicle detected by the vehicle-mounted monitoring instrument from the detection terminal, and upload the information to the background server through the first 5G communication module.

6. The new energy vehicle power management system based on 5G technology according to claim 5 is characterized in that: There are multiple detection terminals; the number of the second 5G communication modules is the same as the detection terminals. After the on-board monitoring instrument classifies the detection terminals according to the detection information of the on-board monitoring instrument, each classified detection terminal corresponds to a second 5G communication module; the on-board monitoring instrument is also used to send the power supply information and power information of the electric vehicle detected by the detection terminal to the electric vehicle through the second 5G communication module and the main control module.

7. The new energy vehicle power management system based on 5G technology according to claim 6 is characterized in that: The background server also includes multiple charging pile management modules for detecting the operation of charging piles; the number of the charging pile management modules is the same as the charging piles, and they correspond one-to-one to the charging piles; the charging pile management module includes a charging pile data collection module for collecting the idle charging status of the charging piles, collecting the usage status and fault status of the charging piles, the charging pile management module is used to monitor the idle state, usage status and fault status of the charging piles, and send the module detection information of the idle state, usage status and fault status of the charging piles to the background server through the charging pile data collection module, and the charging pile data collection module connects the charging pile management module and the background server through the 5G network.

8. The new energy vehicle power management system based on 5G technology according to claim 7 is characterized in that: The charging pile management module is also used to obtain the number of idle charging piles and the average value L of the reserved idle number of the corresponding charging piles; when the electric vehicle sends a charging request to the background server, the charging pile management module obtains the charging reservation time of the electric vehicle, and when the number of electric vehicles in the next time period of the charging reservation time is greater than L, the charging pile management module reminds the electric vehicle that there are no idle charging piles, and when the number of electric vehicles in the next time period of the charging reservation time is less than or equal to L, the charging pile management module sends charging information to the electric vehicle; the charging information includes the charging reservation time, the current position of the electric vehicle, the gear position of the electric vehicle, and the reserved idle number of the electric vehicle at the charging reservation time.

9. The new energy vehicle power management system based on 5G technology according to claim 8 is characterized in that: The formula for obtaining the average value L of the number of reserved idle charging piles in the charging pile management module is as follows: Assume that the time point when the charging pile management module starts is t1, the number of idle charging piles obtained at time point t2 after time point t1 is Q, and the number of electric vehicles is F. It represents the number of free reservations corresponding to the i-th electric car.

10. The new energy vehicle power management system based on 5G technology according to claim 9 is characterized in that: The charging pile management module is also used to obtain the distance between the current position of the electric vehicle and the charging pile where the charging pile management module is located, and recommend the charging pile closest to the electric vehicle.

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