New energy automobile charging container and control system thereof

Abstract

The invention discloses a new energy automobile charging container and a control system thereof, and relates to the technical field of intelligent charging, and the control system of the new energy automobile charging container comprises a mobile phone client, a data service platform and a charging equipment end. Acquiring electric quantity information, position information and model information of a user automobile by using a mobile phone APP; the collected automobile information is transmitted to a data service platform; the data service platform is used for comparing and analyzing the automobile information received by the mobile phone client and the charging container information in the charging equipment end, formulating a charging scheme and sending the recommended charging container position to the user APP; and the charging equipment end is used for setting a centralized electricity storage bin to be connected with a power grid, after the recommended charging container is displayed in the user APP, the user automobile drives to the position of the recommended charging container to be charged, and energy is saved through solar energy storage in the driving process.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent charging, and particularly to a charging container for new energy vehicles and its control system. Background Art

[0002] With the development of the global economy, the dependence of traditional fuel vehicles on oil resources has led to energy supply tensions. At the same time, their exhaust emissions have brought serious environmental pollution problems, such as greenhouse gas emissions and urban air pollution. In order to alleviate energy pressure and reduce environmental pollution, the development of new energy vehicles has become an important direction in the global transportation field. As a key supporting technology for new energy vehicles, charging technology has emerged and developed continuously. The battery is the core component of new energy vehicles, and the continuous improvement of its performance provides a basis for the development of charging technology. From early lead-acid batteries to later nickel-cadmium batteries, nickel-metal hydride batteries, and then to the widely used lithium-ion batteries today, the performance indicators such as energy density, charge and discharge efficiency, and cycle life of the batteries have been continuously improved, enabling the driving range of new energy vehicles to increase continuously. At the same time, it has also put forward higher requirements for charging technology, promoting the development of technologies such as fast charging and intelligent charging. The continuous progress of power electronics technology provides strong technical support for new energy vehicle charging technology. Through the optimized design of power electronic devices and circuits, precise control of charging current and voltage can be achieved, improving charging efficiency and stability. At the same time, efficient energy conversion and interaction between charging equipment and the power grid can also be realized, promoting the development and popularization of charging facilities such as charging piles and battery swapping stations.

[0003] However, when new energy vehicles are charging, facilities such as charging piles and battery swapping stations need to be connected to the power grid and are fixed in position, and cannot be randomly relocated. As a result, when new energy vehicles go to charging piles and other locations for charging, they need to travel a long distance. The present invention designs a charging container that can be randomly relocated. Summary of the Invention

[0004] The purpose of the present invention is to provide a charging container for new energy vehicles and its control system to solve the problems in the prior art.

[0005] put forward

[0006] To achieve the above purpose, the present invention provides the following technical solutions:

[0007] A control system for a charging container of new energy vehicles, the control system for the charging container of new energy vehicles includes a mobile phone client, a data service platform, and a charging equipment terminal;

[0008] The data service platform is used to compare and analyze the vehicle information received through the mobile client and the charging container information in the charging device terminal, formulate a charging plan, intelligently select a charging container for recommendation, and send the location of the recommended charging container to the user APP;

[0009] The charging device terminal is used to connect the centralized energy storage warehouse to the power grid, place each charging container in the energy storage warehouse for energy storage standby. When the recommended charging container is displayed in the user APP, the user's vehicle drives to the location of the recommended charging container for charging, and uses solar energy storage for energy conservation during driving.

[0010] The data service platform includes an information receiving unit, a location analysis unit, a power calculation unit, and an intelligent dispatching unit;

[0011] The information receiving unit is used to receive the power information, location information, and model information of the user's vehicle collected by the mobile client;

[0012] The location analysis unit is used to mark the locations of all centralized energy storage warehouses in the electronic map, calculate the energy consumption required for the user's vehicle to reach the location of the charging container in each centralized energy storage warehouse by using the received location of the user's vehicle and the locations of each centralized energy storage warehouse, and select the best centralized energy storage warehouse;

[0013] The specific steps for the location analysis unit to select the best centralized energy storage warehouse are as follows:

[0014] Collect the locations of all centralized energy storage warehouses in the city, mark the locations of all centralized energy storage warehouses in the electronic map, receive the real-time location of the user's vehicle, and use the electronic map to collect the driving distance, air resistance, rolling resistance, and acceleration resistance required for each centralized energy storage warehouse to reach the real-time location of the user's vehicle. For the rolling resistance, when the vehicle is driving, use a level to monitor, convert the change and fluctuation of the level as the vehicle drives on the road into a curve waveform, use the frequency of the curve waveform to represent whether the road is flat, the amplitude of the curve waveform to represent the road slope, and add the frequency and amplitude values of the curve waveform to represent the road quality; calculate the rolling resistance by using the road quality, and the formula is: F g = μ × m × g × z; in the formula, F g represents the rolling resistance of the vehicle driving, m represents the vehicle mass, g represents the acceleration due to gravity, μ represents the rolling friction coefficient, and z represents the road quality; calculate the energy consumption required for the user's vehicle to reach the real-time location of each centralized energy storage warehouse by using the driving distance, air resistance, rolling resistance, and acceleration resistance, and the formula is: E = (F g + F q + F a ) × s, in the formula, E represents the energy consumption required for the user's vehicle to reach the real-time location of each centralized energy storage warehouse, Fg represents the rolling resistance, F q represents the air resistance, F a represents the acceleration resistance, s represents the driving distance; by repeatedly calculating, the energy consumption required for the user's vehicle to reach the real-time position of each centralized energy storage bin in the electronic map is obtained, and a comparison and judgment are made to select the minimum value of the required energy consumption E min The corresponding centralized energy storage bin is the optimal centralized energy storage bin.

[0015] By calculating the energy consumption required for the user's vehicle to reach the real-time position of each centralized energy storage bin to select the optimal energy storage bin, the user can obtain the charging service with the lowest energy consumption cost and reduce the user's spending on charging. A centralized energy storage bin that is relatively close, has sufficient charging resources, and can be quickly reached can be matched for the user, thereby reducing the charging waiting time, improving the user's charging efficiency, enabling the user to continue the journey more quickly, and for the operator of the centralized energy storage bin, reasonably selecting the optimal energy storage bin helps to optimize the scheduling path and frequency of the charging containers, reduce unnecessary energy consumption and equipment loss, thereby reducing the operating cost and improving the economic benefit.

[0016] The power calculation unit is used to collect the power information of each charging container in the optimal centralized energy storage bin and the power consumption of the vehicle during driving, and predict the actual rechargeable amount of each charging container and the actual power required for the user's vehicle;

[0017] The specific steps for predicting the actual rechargeable amount of each charging container in the power calculation unit are as follows:

[0018] In the selected optimal centralized energy storage bin, collect the real-time power of each charging container, extract the energy consumption when the real-time position of the user's vehicle reaches the optimal centralized energy storage bin, and convert the energy consumption into power consumption; collect the saved power stored by the charging container using solar energy at the charging equipment end; calculate the actual rechargeable amount of each charging container and the actual power required for the user's vehicle using the power consumption, saved power, and real-time power. The formula is:

[0019] Q k =Q s +Q j

[0020] Q c =Q - Q E ,

[0021] In the formula, Q k represents the actual rechargeable amount of the charging container, Q s represents the real-time power of the charging container, Q E represents the power consumption, Q j represents the saved power, Q represents the actual power of the vehicle before driving;

[0022] By predicting the actual rechargeable amount of each charging container, it can be more accurately matched with the charging demand of the user's vehicle, avoiding the situation of charging interruption due to insufficient rechargeable amount or waste of resources caused by excessive charging amount, and improving the utilization efficiency of charging resources. Understanding the power information of the charging container and the power consumption of the vehicle during driving can accurately grasp its power status and prevent overcharging or over-discharging during the charging process. Overcharging and over-discharging may damage the battery and even cause safety accidents, while accurate power prediction helps to adopt reasonable charging strategies to ensure the safety of the charging process and the service life of the battery. For the operator of the centralized energy storage warehouse, accurately grasping the actual rechargeable amount of each charging container is beneficial to formulating a more optimized scheduling strategy. The use order and task allocation of different charging containers can be reasonably arranged according to their power conditions, improving the operation efficiency of the entire energy storage warehouse.

[0023] The intelligent delivery unit is used to judge the actual charging demand of the user's vehicle and the actual rechargeable amount of all charging containers, formulate different charging plans, select charging containers for recommendation, and send the recommended charging container location to the APP.

[0024] The specific steps for formulating different charging plans in the intelligent delivery unit are as follows:

[0025] The actual charging demand required by the user's vehicle is Qc, which is compared with the actual rechargeable amount of each charging container in the optimal centralized energy storage warehouse. When Q k ≥Qc, it is judged that the corresponding charging container is a rechargeable container, and then all rechargeable containers are screened, and the charging container corresponding to the minimum value of the actual rechargeable amount among them is extracted as the recommended container; when Q k <Qc, it is judged as a non-rechargeable container; Q k represents the actual rechargeable amount of the charging container;

[0026] After all charging containers in the optimal centralized energy storage warehouse are judged, if the number of rechargeable containers is 0, all charging containers are sorted from largest to smallest according to the actual rechargeable amount, and the charging containers are combined in parallel in turn from the charging container with the largest actual rechargeable amount to form a large charging container; the actual rechargeable amount of the combined large charging container and the actual charging demand of the user's vehicle are judged, and the number of single charging containers to be combined is calculated. The formula is: In the formula, Q i represents the i-th combined charging container, and B represents the number of single charging containers to be combined; when combining the charging containers in turn, stop combining after satisfying the above inequality; the combined large charging container is used as the recommended container;

[0027] After different charging plans are formulated, the selected recommended charging container locations are sent to the APP. After the user views the recommended charging container locations, the user's vehicle drives towards the recommended charging container locations. The battery levels of the vehicles of different users vary. Some may have extremely low battery levels and urgently need charging, while others still have a certain amount of remaining power. By judging the battery information of the user's vehicle and the actual chargeable amount of the charging container, personalized charging plans can be formulated according to the specific power requirements of the user, ensuring that the user's vehicle can obtain appropriate power replenishment and meeting the charging needs of different users in different scenarios; providing customized charging services for users and enhancing the satisfaction and loyalty of users towards the charging services.

[0028] Taking into full consideration the actual chargeable amounts of all charging containers, charging resources can be reasonably allocated throughout the charging network, avoiding the situation where some charging containers are idle while others are overused, enabling more balanced utilization of charging resources and improving the overall utilization rate of charging facilities.

[0029] The charging device end includes a path decision unit, an energy-saving unit, and a charging monitoring unit;

[0030] The path decision unit is used to, after the user obtains the location of the recommended charging container in the APP, utilize the location of the user's vehicle to extract all reachable paths in the electronic map, collect the real-time road information of each path, calculate the arrival time of each path, and select the best driving path;

[0031] The specific steps for the path decision unit to select the best driving path are as follows:

[0032] After the user receives the location of the recommended charging container through the APP, all reachable driving paths are counted through the electronic map, the real-time traffic flow and driving distance in each path are collected, and the path with the least traffic flow and the shortest driving distance among all paths is selected as the best driving path; the user's vehicle travels to the location of the recommended charging container according to the navigation of the best driving path through autonomous driving technology.

[0033] The energy-saving unit is used to set solar panels in the charging container and convert solar energy into electrical energy for storage during the driving of the charging container;

[0034] The energy-saving unit includes a solar energy storage component;

[0035] The solar energy storage component is used to set solar panels on the top of the charging container. When the charging container is under sunlight, the solar panels are used to collect solar energy and convert the solar energy into electrical energy for storage;

[0036] The electric energy obtained from solar energy can supply power to some devices of the charging container or charge its battery, thereby reducing the dependence on the electric energy of the external power grid and lowering the cost of purchasing electricity from the grid. Especially in the case of long-distance transportation or large charging demands, this cost-saving effect is more significant. Since the dependence on external charging facilities is reduced, the interaction between the charging container and external charging devices during use is decreased, reducing the equipment damage and maintenance costs that may be caused by frequent use of external charging devices. At the same time, under normal operating conditions, the maintenance cost of solar panels is relatively low, further reducing the overall operating cost.

[0037] The charging monitoring unit is used to, when the charging container charges the user's vehicle, collect the charging speed of the user's vehicle battery in real time, set a charging efficiency threshold according to the charging speed of a healthy battery, and when it is determined that the user's vehicle battery is abnormal using the charging efficiency threshold, the charging container replaces the user's vehicle battery.

[0038] The specific steps for the charging monitoring unit to determine that the user's vehicle battery is abnormal using the charging efficiency threshold are as follows:

[0039] Collect the charging speeds of all healthy batteries in the vehicle during charging, calculate the average value of the charging speeds of all healthy batteries, use the average value as the charging efficiency threshold of the battery, judge the model information of the user's vehicle, select the corresponding type of charging port to charge the user's vehicle. During real-time charging, the charging container collects the charging time and the consumed power, and calculates the charging efficiency of the user's vehicle battery. The formula is: In the formula, Ce represents the charging efficiency of the user's vehicle battery, Q t represents the consumed power of the charging container, and T represents the charging time;

[0040] When Ce≥Cy, it is determined that the user's vehicle battery is normal. When Ce<Cy, it is determined that the user's vehicle battery is abnormal, and the charging container uses a robotic arm to replace the abnormal battery of the user's vehicle; Cy represents the charging efficiency threshold of the battery.

[0041] When the charging speed is significantly higher or lower than the normal range, it may mean that there are faults or safety hazards in the battery, such as internal short circuit, overheating, etc. At this time, timely judgment and taking measures to replace the battery can avoid safety accidents caused by battery problems, such as fire, explosion, etc., ensuring the safety of users and the surrounding environment. Real-time monitoring of the charging speed and judgment according to the threshold can optimize the charging process. If it is found that the battery charging efficiency is low, it may be due to the performance problem of the battery itself or the compatibility problem between the charging device and the battery. Timely replacement of the battery can avoid the waste of ineffective charging time, enable users to complete charging faster, improve the overall charging efficiency, and reduce the user's waiting time.

[0042] A new energy vehicle charging container, which includes a power storage device, a charging device, an energy-saving device, a combination device, and a battery replacement device;

[0043] The power storage device is used to set a power storage port for connecting to a centralized power storage warehouse, and finally connecting to the power grid to store electricity for the charging container;

[0044] The charging device is used to set charging ports of different models, and connect to the user's vehicle through the charging ports to charge the user's vehicle;

[0045] The energy-saving device is used to respectively set solar energy storage components, and convert solar energy into electrical energy for storage during the driving of the charging container;

[0046] The combination device is used to set a connection device on the charging container, and the charging containers can be connected in parallel in pairs;

[0047] The battery replacement device is used to set a robotic arm and a battery storage space, use the robotic arm to replace the abnormal battery in the user's vehicle, and use the battery storage space to place healthy batteries.

[0048] Compared with the prior art, the beneficial effects of the present invention are:

[0049] 1. The present invention selects the best power storage warehouse by calculating the energy consumption required for the charging container to reach the position of the user's vehicle in each centralized power storage warehouse, enabling users to obtain the charging service with the lowest energy consumption cost and reducing the user's spending on charging.

[0050] 2. By predicting the actual chargeable amount of each charging container, the present invention can more accurately match it with the charging demand of the user's vehicle, avoiding the situation of charging interruption due to insufficient chargeable amount or waste of resources caused by excessive chargeable amount, and improving the utilization efficiency of charging resources.

[0051] 3. The present invention monitors the charging speed in real time and judges according to the threshold, which can optimize the charging process. If it is found that the battery charging efficiency is low, it may be a problem with the battery itself or the compatibility between the charging device and the battery. Timely replacement of the battery can avoid the waste of ineffective charging time, enable users to complete charging faster, improve the overall charging efficiency, and reduce the user's waiting time.

[0052] 4. The present invention designs a convenient and movable charging container, which can be quickly and flexibly deployed to the required place according to the charging needs of new energy vehicles in different regions, greatly shortening the construction period of charging facilities. It can provide one-stop charging services for new energy vehicles, and users do not need to find multiple different devices or places for charging, improving the convenience of charging. Description of the Drawings

[0053] Figure 1 It is the module distribution diagram of a control system for a new energy vehicle charging container according to the present invention;

[0054] Figure 2 It is the schematic flow diagram of a control system for a new energy vehicle charging container according to the present invention. Specific embodiments

[0055] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative work shall fall within the protection scope of the present invention.

[0056] Embodiment: As Figure 1 - Figure 2 shown, the present invention provides a technical solution,

[0057] A control system for a new energy vehicle charging container, the control system for the new energy vehicle charging container includes a mobile phone client, a data service platform, and a charging device end;

[0058] The data service platform is used to compare and analyze the vehicle information received through the mobile phone client and the charging container information in the charging device end, formulate a charging plan, intelligently select a charging container for recommendation, and send the position of the recommended charging container to the user APP;

[0059] The charging device end is used to set a centralized energy storage warehouse to connect to the power grid, place each charging container in the energy storage warehouse for energy storage standby. When the recommended charging container is displayed in the user APP, the user's vehicle drives to the position of the recommended charging container for charging, and uses solar energy storage for energy conservation during the driving process.

[0060] The data service platform includes an information receiving unit, a location analysis unit, an electricity quantity calculation unit, and an intelligent dispatching unit;

[0061] The information receiving unit is used to receive the electricity quantity information, location information, and model information of the user's vehicle collected by the mobile phone client;

[0062] The location analysis unit is used to mark the positions of all centralized energy storage warehouses in the electronic map, calculate the energy consumption required for the user's vehicle to reach the position of the charging container in each centralized energy storage warehouse by using the received position of the user's vehicle and the position of each centralized energy storage warehouse, and select the best centralized energy storage warehouse;

[0063] The specific steps for the location analysis unit to select the best centralized energy storage warehouse are as follows:

[0064] Collect the locations of all centralized electricity storage bins in the city, mark the locations of all centralized electricity storage bins on the electronic map, receive the real-time location of the user's vehicle, and use the electronic map to collect the driving distance, air resistance, rolling resistance, and acceleration resistance required for each centralized electricity storage bin to reach the real-time location of the user's vehicle. Among them, for the rolling resistance, when the vehicle is driving, it is monitored using a level. The fluctuations of the level as the vehicle drives on the road are converted into a curve waveform. The frequency of the curve waveform represents whether the road is flat, and the amplitude of the curve waveform represents the road gradient. The sum of the frequency and amplitude values of the curve waveform represents the road quality; the rolling resistance is calculated using the road quality. The formula is: F g = μ × m × g × z; in the formula, F g represents the rolling resistance of the vehicle driving, m represents the vehicle mass, g represents the acceleration due to gravity, μ represents the rolling friction coefficient, and z represents the road quality; the energy consumption required for the user's vehicle to reach the real-time location of each centralized electricity storage bin is calculated using the driving distance, air resistance, rolling resistance, and acceleration resistance. The formula is: E = (F g + F q + F a ) × s. In the formula, E represents the energy consumption required for the user's vehicle to reach the real-time location of each centralized electricity storage bin, F g represents the rolling resistance, F q represents the air resistance, F a represents the acceleration resistance, and s represents the driving distance; the energy consumption required for the user's vehicle to reach the real-time location of each centralized electricity storage bin in the electronic map is repeatedly calculated, and a comparison and judgment are made to select the centralized electricity storage bin corresponding to the minimum energy consumption E min as the optimal centralized electricity storage bin.

[0065] By calculating the energy consumption required for the user's vehicle to reach the real-time location of each centralized electricity storage bin to select the optimal storage bin, the user can obtain the charging service with the lowest energy consumption cost and reduce the user's spending on charging. It is possible to match the user with a centralized electricity storage bin that is relatively close, has sufficient charging resources, and can be reached quickly, thereby reducing the charging waiting time, improving the user's charging efficiency, enabling the user to continue the journey more quickly, and for the operator of the centralized electricity storage bin, reasonably selecting the optimal storage bin helps to optimize the scheduling path and frequency of the charging containers, reduce unnecessary energy consumption and equipment wear, thereby reducing the operating cost and improving the economic benefits.

[0066] The electricity quantity calculation unit is used to collect the electricity quantity information of each charging container in the optimal centralized electricity storage bin and the electricity consumption of the vehicle driving, and predict the actual rechargeable quantity of each charging container and the actual electricity quantity required by the user's vehicle;

[0067] The specific steps for predicting the actual rechargeable quantity of each charging container in the electricity quantity calculation unit are:

[0068] Collect the real-time power of each charging container in the selected optimal centralized energy storage warehouse, extract the energy consumption when the real-time position of the user's vehicle reaches the optimal centralized energy storage warehouse, and convert the energy consumption into power consumption; collect the saved power stored by the charging container using solar energy at the charging device end; calculate the actual rechargeable amount of each charging container and the actual power required to charge the user's vehicle using the power consumption, saved power, and real-time power. The formula is as follows:

[0069] Q k =Q s +Q j

[0070] Q c =Q - Q E ,

[0071] In the formula, Q k represents the actual rechargeable amount of the charging container, Q s represents the real-time power of the charging container, Q E represents the power consumption, Q j represents the saved power, and Q represents the actual power before the vehicle travels;

[0072] By predicting the actual rechargeable amount of each charging container, it can be more accurately matched with the charging demand of the user's vehicle, avoiding situations where the user's charging is interrupted due to insufficient rechargeable amount or resource waste caused by excessive charging amount, and improving the utilization efficiency of charging resources. Understanding the power information of the charging container and the power consumption during vehicle travel can accurately grasp its power status and prevent overcharging or over-discharging during the charging process. Overcharging and over-discharging may damage the battery and even cause safety accidents, while accurate power prediction helps to adopt reasonable charging strategies to ensure the safety of the charging process and the service life of the battery. For the operator of the centralized energy storage warehouse, accurately grasping the actual rechargeable amount of each charging container is beneficial for formulating more optimized dispatching strategies. The use order and task allocation of different charging containers can be reasonably arranged according to their power conditions, improving the operation efficiency of the entire energy storage warehouse.

[0073] The intelligent delivery unit is used to judge the actual power required to charge the user's vehicle and the actual rechargeable amount of all charging containers, formulate different charging plans, select charging containers for recommendation, and send the recommended charging container location to the APP.

[0074] The specific steps for formulating different charging plans in the intelligent delivery unit are as follows:

[0075] The actual power required by the user's vehicle is Qc, which is compared with the actual rechargeable amount of each charging container in the optimal centralized energy storage warehouse. When Q kWhen Q ≥ Qc, determine that the corresponding charging container is a chargeable container. Then, screen all chargeable containers and extract the charging container corresponding to the minimum actual chargeable amount among them as the recommended container; when Q k < Qc, determine it as a non - chargeable container; Q k represents the actual chargeable amount of the charging container;

[0076] After judging all charging containers in the best centralized energy storage warehouse, if the number of chargeable containers is 0, sort all charging containers in descending order according to the actual chargeable amount, and then combine and connect the charging containers in parallel one by one starting from the charging container with the largest actual chargeable amount to form a large - scale charging container; judge the actual chargeable amount of the combined large - scale charging container and the actual charging amount required by the user's car, and calculate the number of single charging containers that need to be combined. The formula is: In the formula, Q i represents the i - th combined charging container, and B represents the number of single charging containers that need to be combined; when combining charging containers in sequence, stop combining after satisfying the above inequality; use the combined large - scale charging container as the recommended container;

[0077] After formulating different charging plans, send the location of the selected recommended charging container to the APP. After the user views the location of the recommended charging container, the user's car drives towards the location of the recommended charging container.

[0078] The battery levels of cars of different users are different. Some may have extremely low battery levels and urgently need charging, while others still have a certain margin. By judging the battery level information of the user's car and the actual chargeable amount of the charging container, personalized charging plans can be formulated according to the specific charging needs of users, ensuring that the user's car can obtain appropriate battery charge replenishment and meeting the charging needs of different users in different scenarios; providing customized charging services for users, enhancing user satisfaction and loyalty to the charging service.

[0079] Fully considering the actual chargeable amounts of all charging containers can reasonably allocate charging resources in the entire charging network, avoid the situation where some charging containers are idle while others are over - used, make the charging resources be utilized more evenly, and improve the overall utilization rate of charging facilities.

[0080] The charging device terminal includes a path decision unit, an energy - saving unit, and a charging monitoring unit;

[0081] The path decision unit is used to, after the user obtains the location of the recommended charging container in the APP, use the location of the user's car to extract all reachable paths in the electronic map, collect the real - time road information of each path, calculate the arrival time of each path, and select the best driving path;

[0082] The specific steps for the path decision unit to select the best driving path are as follows:

[0083] After the user receives the location of the recommended charging container through the APP, all reachable driving paths are counted through the electronic map, the real-time traffic flow and driving distance in each path are collected, and the path with the least traffic flow and the shortest driving distance among all paths is selected as the best driving path; the user's car travels to the location of the recommended charging container through autonomous driving technology according to the navigation of the best driving path.

[0084] The energy-saving unit is used to set solar panels in the charging container, and the solar energy is converted into electric energy for storage during the driving of the charging container;

[0085] The energy-saving unit includes a solar energy storage component;

[0086] The solar energy storage component is used to set solar panels on the top of the charging container. When the charging container is under sunlight, the solar panels are used to collect solar energy and convert the solar energy into electric energy for storage;

[0087] The electric energy obtained through solar energy can supply power to some devices of the charging container or charge its battery, thus reducing the dependence on the electric energy of the external power grid and lowering the cost of purchasing electricity from the grid. Especially in the case of long-distance transportation or large charging demand, this cost-saving effect is more significant. Since the dependence on external charging facilities is reduced, the interaction between the charging container and external charging devices during use is reduced, and the equipment damage and maintenance costs that may be caused by frequent use of external charging devices are lowered. At the same time, under normal operating conditions, the maintenance cost of solar panels is relatively low, further reducing the overall operating cost.

[0088] The specific steps for the charging monitoring unit to judge the abnormality of the user's car battery using the charging efficiency threshold are as follows:

[0089] Collect the charging speeds of all healthy batteries in the car, calculate the average value of the charging speeds of all healthy batteries, use the average value as the charging efficiency threshold of the battery, judge the model information of the user's car, select the corresponding type of charging port to charge the user's car, and during real-time charging, the charging container collects the charging time and power consumption, and calculates the charging efficiency of the user's car battery. The formula is: In the formula, Ce represents the charging efficiency of the user's car battery, Q t represents the power consumption of the charging container, and T represents the charging time;

[0090] When Ce ≥ Cy, it is determined that the user's vehicle battery is normal. When Ce < Cy, it is determined that the user's vehicle battery is abnormal, and the charging container uses a robotic arm to replace the abnormal battery of the user's vehicle; Cy represents the charging efficiency threshold of the battery.

[0091] When the charging speed is significantly higher or lower than the normal range, it may mean that there are faults or safety hazards in the battery, such as internal short circuits, overheating, etc. At this time, timely judgment and measures to replace the battery can avoid safety accidents caused by battery problems, such as fires, explosions, etc., ensuring the safety of users and the surrounding environment. Real-time monitoring of the charging speed and judgment based on the threshold can optimize the charging process. If it is found that the battery charging efficiency is low, it may be due to the performance of the battery itself or the compatibility problem between the charging device and the battery. Timely replacement of the battery can avoid the waste of ineffective charging time, allowing users to complete charging faster, improving the overall charging efficiency, and reducing the user's waiting time.

[0092] A new energy vehicle charging container, which includes a power storage device, a charging device, an energy-saving device, a combination device, and a battery replacement device;

[0093] The power storage device is used to set a power storage port for connecting to a centralized power storage warehouse and ultimately connecting to the power grid to store electricity for the charging container;

[0094] The charging device is used to set charging ports of different models and connect to the user's vehicle through the charging ports to charge the user's vehicle;

[0095] The energy-saving device is used to separately set solar energy storage components to convert solar energy into electrical energy for storage during the driving of the charging container;

[0096] The combination device is used to set a connection device on the charging container, which can connect two charging containers in parallel;

[0097] The battery replacement device is used to set a robotic arm and a battery storage space, use the robotic arm to replace the abnormal battery in the user's vehicle, and use the battery storage space to place healthy batteries.

[0098] Embodiment: Using the present invention to charge a certain user's vehicle, the vehicle's battery power is abnormal during road driving and cannot continue to drive. The user inputs the vehicle's battery power information, location information, and model information through the mobile phone APP;

[0099] The data service platform processes the information in the APP. There are two centralized energy storage warehouses, Warehouse No. 1 and Warehouse No. 2, near the user in the electronic map. Calculate the energy consumption required for the user's car to reach the location of each centralized energy storage warehouse. The path from Warehouse No. 1 to the car's location is bumpy, while the path to Warehouse No. 2 is all flat roads. Using the formula, the calculated energy consumption required for Warehouse No. 1 is 20, and for Warehouse No. 2 is 10. Therefore, the best centralized energy storage warehouse is selected as Warehouse No. 2;

[0100] In Warehouse No. 2, there are charging containers G1, G2, and G3. Calculate the actual rechargeable amounts of the three charging containers as 50, 20, and 30. The actual recharge amount required for the user's car is 80. According to the sorting, select charging containers G1 and G3 for combination to form a large charging container. Take the large charging container as the recommended container and send the location to the mobile APP.

[0101] For those skilled in the art, it is obvious that the present invention is not limited to the details of the above exemplary embodiments, and without departing from the spirit or basic characteristics of the present invention, the present invention can be implemented in other specific forms. Therefore, from any point of view, the embodiments should be regarded as exemplary and non-restrictive. The scope of the present invention is defined by the appended claims rather than the above description. Therefore, all changes falling within the meaning and scope of the equivalent elements of the claims are intended to be included in the present invention. Any reference signs in the claims should not be regarded as limiting the claims involved.

Claims

1. A control system for a charging container of a new energy vehicle, characterized in that: The new energy vehicle charging container control system includes a mobile phone client, a data service platform, and a charging device terminal; The mobile phone client is used to collect the power information, location information, and model information of the user's vehicle using the mobile phone APP when the user needs to charge the vehicle; and transmit the collected vehicle information to the data service platform; The data service platform is used to compare and analyze the vehicle information received through the mobile phone client and the charging container information in the charging device terminal, formulate a charging plan, intelligently select a charging container for recommendation, and send the location of the recommended charging container to the user APP; The charging device terminal is used to set the centralized energy storage warehouse to connect to the power grid, place each charging container in the energy storage warehouse for energy storage standby. When the recommended charging container is displayed in the user APP, the user's vehicle drives to the location of the recommended charging container for charging, and uses solar energy storage for energy conservation during the driving process.

2. The control system of a new energy vehicle charging container according to claim 1, wherein: The data service platform includes an information receiving unit, a location analysis unit, a power calculation unit, and an intelligent dispatching unit; The information receiving unit is used to receive the power information, location information, and model information of the user's vehicle collected by the mobile phone client; The location analysis unit is used to mark the locations of all centralized energy storage warehouses on the electronic map, use the received location of the user's vehicle and the locations of each centralized energy storage warehouse to calculate the energy consumption required for the user's vehicle to reach the location of the charging container in each centralized energy storage warehouse, and select the best centralized energy storage warehouse; The power calculation unit is used to collect the power information of each charging container in the best centralized energy storage warehouse and the power consumption during the vehicle driving, and predict the actual rechargeable amount of each charging container and the actual power required for the user's vehicle; The intelligent dispatching unit is used to judge the actual power required for the user's vehicle and the actual rechargeable amount of all charging containers, formulate different charging plans, select a charging container for recommendation, and send the location of the recommended charging container to the APP; 3. The control system of a new energy vehicle charging container according to claim 1, wherein: The charging device terminal includes a path decision-making unit, an energy conservation unit, and a charging monitoring unit; The path decision-making unit is used to extract all arrival paths on the electronic map using the location of the user's vehicle after the user obtains the location of the recommended charging container in the APP, collect the real-time road information of each path, calculate the arrival time of each path, and select the best driving path; The energy conservation unit is used to set solar panels in the charging container and use solar energy to convert it into electrical energy for energy storage during the driving of the charging container; The charging monitoring unit is used to collect the charging speed of the user's vehicle battery in real time when the charging container charges the user's vehicle, set a charging efficiency threshold according to the charging speed of a healthy battery, and when it is judged that the user's vehicle battery is abnormal using the charging efficiency threshold, the charging container replaces the user's vehicle battery.

4. The control system of a new energy vehicle charging container according to claim 2, wherein: The specific steps for selecting the best centralized energy storage warehouse in the location analysis unit are: Collect the locations of all centralized energy storage warehouses in the city, mark the locations of all centralized energy storage warehouses on the electronic map, receive the real-time location of the user's vehicle, and use the electronic map to collect the driving distance, air resistance, rolling resistance, and acceleration resistance required for each centralized energy storage warehouse to reach the real-time location of the user's vehicle. Among them, for the rolling resistance, when the vehicle is driving, it is monitored by a level. The fluctuations of the level during the vehicle's driving on the road are converted into a curve waveform. The frequency of the curve waveform represents whether the road is flat, and the amplitude of the curve waveform represents the road slope. The sum of the frequency and amplitude values of the curve waveform represents the road quality. Calculate the rolling resistance using the road quality, calculate the energy consumption required for the user's vehicle to reach the location of each centralized energy storage warehouse using the driving distance, air resistance, rolling resistance, and acceleration resistance, and make a comparison and judgment to select the minimum energy consumption value E min The corresponding centralized energy storage warehouse is the best centralized energy storage warehouse.

5. The control system of a new energy vehicle charging container according to claim 2, characterized in that: The specific steps for predicting the actual rechargeable amount of each charging container in the power calculation unit are: Collect the real-time power of each charging container in the selected optimal centralized energy storage warehouse, extract the energy consumption when the real-time position of the user's car reaches the optimal centralized energy storage warehouse, and convert the energy consumption into power consumption; collect the saved power stored by the charging container using solar energy at the charging device end; calculate the actual rechargeable amount of each charging container and the actual power required to be charged for the user's car using the power consumption, saved power, and real-time power.

6. The control system of a new energy vehicle charging container according to claim 2, characterized in that: The specific steps for formulating different charging plans in the intelligent delivery unit are as follows: The actual required charging amount Qc needed by the user's vehicle is compared with the actual chargeable amount of each charging container in the optimal centralized energy storage warehouse. When Q k ≥ Qc, it is determined that the corresponding charging container is a chargeable container. Then, all chargeable containers are screened, and the charging container corresponding to the minimum value of the actual chargeable amount among them is extracted as the recommended container; when Q k < Qc, it is determined as a non - chargeable container; Q k represents the actual chargeable amount of the charging container; After judging all the charging containers in the optimal centralized energy storage warehouse, when the number of rechargeable containers is 0, sort all the charging containers in descending order according to the actual rechargeable amount, and then combine and connect the charging containers in parallel one by one from the charging container with the largest actual rechargeable amount to form a large charging container; judge the actual rechargeable amount of the combined large charging container and the actual power required to be charged for the user's car, calculate the number of single charging containers that need to be combined, and use the combined large charging container as the recommended container. After formulating different charging plans, send the position of the selected recommended charging container to the APP. After the user views the position of the recommended charging container, the user's car drives towards the position of the recommended charging container.

7. The control system of a new energy vehicle charging container according to claim 3, characterized in that: The specific steps for selecting the optimal driving route in the path decision unit are as follows: After the user receives the position of the recommended charging container through the APP, count all the reachable driving routes through the electronic map, collect the real-time traffic flow and driving distance in each route, and select the route with the least traffic flow and the shortest driving distance among all the routes as the optimal driving route; the user's car uses autonomous driving technology to drive to the position of the recommended charging container according to the navigation of the optimal driving route.

8. The control system of a new energy vehicle charging container according to claim 3, characterized in that: The energy-saving unit includes a solar energy storage component; The solar energy storage component is used to set solar panels on the top of the charging container. When the charging container is under sunlight, the solar panels are used to collect solar energy and convert the solar energy into electrical energy for storage.

9. The control system of a new energy vehicle charging container according to claim 3, characterized in that: The specific steps for the charging monitoring unit to judge the abnormality of the user's car battery using the charging efficiency threshold are as follows: Collect the charging speed of all healthy batteries in the car, calculate the average value of the charging speeds of all healthy batteries, and use the average value as the charging efficiency threshold of the battery. Judge the model information of the user's car and select the corresponding type of charging port to charge the user's car. During real-time charging, the charging container collects the charging time and power consumption, and calculates the charging efficiency of the user's car battery. Ce represents the charging efficiency of the user's car battery; Cy represents the charging efficiency threshold of the battery. When Ce≥Cy, it is judged that the user's car battery is normal. When Ce<Cy, it is judged that the user's car battery is abnormal, and the charging container uses a robotic arm to replace the abnormal battery of the user's car.

10. A new energy vehicle charging container, characterized in that: The charging container includes a power storage device, a charging device, an energy-saving device, a combination device, and a battery replacement device; The power storage device is used to set a power storage port to connect to the centralized energy storage warehouse and finally connect to the power grid to store electricity for the charging container. The charging device is used to set charging ports of different models, connect to the user's vehicle through the charging port, and charge the user's vehicle; The energy-saving device is used to respectively set solar energy storage components, and convert solar energy into electric energy for storage during the driving of the charging container; The combination device is used to set a connecting device on the charging container, and the charging containers can be connected in parallel in pairs; The battery replacement device is used to set a robotic arm and a battery storage space, use the robotic arm to replace abnormal batteries in the user's vehicle, and use the battery storage space to place healthy batteries.

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