New energy automobile charging pile intelligent management method based on Internet of Things

Abstract

The invention relates to the technical field of intelligent electric vehicle charging, and discloses a new energy vehicle charging pile intelligent management method based on the Internet of Things, and the method comprises the steps: obtaining a replacement region set through employing a region division strategy according to a charging station set and a threshold distance; adopting a driving planning strategy to obtain a limited charging and swapping station set; according to the existing electric quantity, adopting a pre-reminding strategy to judge whether to recommend a battery charging and replacing station for the user; when the user charges the vehicle in the charging and battery swap station, a charging execution power station is obtained by adopting a charging planning strategy according to the existing electric quantity and the driving path; according to the driving path, adopting a battery replacement planning strategy to obtain a battery replacement execution power station; and according to the charging execution power station and the battery replacement execution power station, adopting a cost comparison strategy to recommend an optimal scheme for the user. In the process that the user drives the electric vehicle, the power station reserve general situations of different charging and swapping stations are predicted, so that the user can select the charging and swapping station with the lowest cost, and the service efficiency and the user satisfaction degree are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent electric vehicle charging, and in particular to an intelligent management method for new energy vehicle charging piles based on the Internet of Things. Background Art

[0002] Charging and swapping stations provide electric vehicle users with a service to charge or quickly replace batteries. They can be traditional charging piles, where users can charge their vehicles, or more advanced swapping stations, where users can quickly replace batteries without waiting for them to charge. From an environmental perspective, charging and swapping stations encourage people to use low-carbon transportation methods, helping to reduce air pollution and carbon emissions in urban areas. Economically, the construction and operation of charging and swapping stations promote employment and promote the development of multiple related industries, including electric vehicle production, energy supply, and information technology. Technological innovation, such as the development of fast charging technology and efficient battery management systems, has also been accelerated. Charging and swapping stations address the actual needs of users, promote the popularization of electric vehicles, and bring extensive environmental and economic benefits. They are key infrastructure for promoting the sustainable development of modern cities.

[0003] In order to enable drivers to have a clearer understanding of the distance between each charging and swapping station and the status of the energy stored inside the charging and swapping station, people integrate the charging and swapping stations through the Internet of Things technology, and integrate the location information of the charging and swapping stations, energy reserve information and even the number of customers charging and swapping inside into the Internet platform for reference, thereby guiding people to the appropriate charging and swapping stations to charge their cars.

[0004] When existing electric vehicles are charging or swapping batteries at charging or swapping stations, they can only choose the charging or swapping station based on the existing power and the geographical location of the charging or swapping station. When users arrive at a charging or swapping station, if the number of free charging piles and battery reserve power of the charging or swapping station cannot meet the needs of the electric vehicles, it will result in a poor user experience.

[0005] This solution proposes to obtain the reserve profile of power stations with different surplus intervals during the driving of electric vehicles. When recommending charging and swapping stations to users, the charging execution stations and swapping execution stations are obtained, and the optimal solution is recommended to users by comparing costs. Summary of the invention

[0006] The present invention provides an intelligent management method for new energy vehicle charging piles based on the Internet of Things, which is used to promote the solution of the problems mentioned in the above background technology.

[0007] The present invention provides the following technical solution: an intelligent management method for new energy vehicle charging piles based on the Internet of Things, comprising:

[0008] Obtain charging and swapping stations connected to the Internet of Things system to form a charging and swapping station collection;

[0009] Setting a threshold distance for dividing the areas where charging and swapping stations are located;

[0010] According to the charging and swapping station set and the threshold distance, a regional division strategy is adopted to obtain a replacement area set;

[0011] Obtain the power consumption per unit distance traveled by the vehicle, recorded as unit power consumption;

[0012] Obtain the existing power of the vehicle, divide the existing power by the unit power consumption, and record the result as the surplus distance;

[0013] Set the grouping interval for dividing the surplus distance;

[0014] Divide the surplus distance into e surplus intervals using the grouping interval to form a surplus interval set;

[0015] For a surplus interval, a driving planning strategy is adopted to obtain a set of restricted charging and swapping stations;

[0016] Based on the existing power, a pre-warning strategy is used to determine whether to recommend a charging and swapping station to the user;

[0017] Get the driving route planned by the user;

[0018] When users charge their vehicles at a charging and swapping station:

[0019] Obtain the battery charge per unit time at the charging and swapping station, recorded as unit charge;

[0020] Get the cost of charging the battery per unit, and record it as unit cost;

[0021] According to the existing power and driving route, a charging planning strategy is adopted to obtain a charging execution power station;

[0022] When a user replaces the battery of a vehicle at a charging and swapping station:

[0023] According to the driving route, the battery swap planning strategy is adopted to obtain the battery swap execution station;

[0024] According to the charging execution station and the battery replacement execution station, a cost comparison strategy is adopted to recommend the best solution to users.

[0025] Optionally, the adopting of the area division strategy includes:

[0026] The number of vehicles passing through the charging and swapping station in one day is recorded as the daily flow rate; the historical daily flow rate of each charging and swapping station in the charging and swapping station set is counted, and the average of multiple daily flow rates of each charging and swapping station is calculated to obtain the replacement flow rate of each charging and swapping station;

[0027] The threshold distances include a first threshold distance, a second threshold distance, ... an e-th threshold distance, which constitute a threshold distance set, wherein the e-1th threshold distance is less than the e-th threshold distance;

[0028] Set a replacement area, which includes charging and swapping stations;

[0029] A bounding rectangle is set, and the bounding rectangle includes the charging and swapping station;

[0030] Setting a standard displacement flow rate for determining the displacement area;

[0031] S1. Get the smallest element in the threshold distance set and record it as the marked distance;

[0032] S2, draw a circle with the marked distance as the radius, recorded as the demarcated circle;

[0033] S3, obtaining the position of each element in the charging and swapping station set, and obtaining a bounding rectangle containing all elements in the charging and swapping station set, which is recorded as a marked bounding rectangle;

[0034] S4, dividing the marked boundary rectangle with a demarcated circle;

[0035] The demarcated circle including the charging and swapping station is recorded as the marked demarcated circle;

[0036] Get all the marked circles to form a marked circle set.

[0037] Optionally, the adopting of the area division strategy further includes:

[0038] S5. For a marked circle, calculate the sum of the replacement flows of all charging and swapping stations in the marked circle, and record the result as the replacement sum a;

[0039] Calculate the number of charging and swapping stations in the circle marked, and record the result as the number of stations b;

[0040] Calculate the total displacement and divide it by the number of power stations. The result is recorded as the average displacement flow c, c = a ÷ b;

[0041] S6, traverse all elements in the marked circle set, obtain the average replacement flow of each element, and form an average replacement flow set;

[0042] S7, compare all elements in the standard replacement flow and the average replacement flow set, and when there is an average replacement flow greater than the standard replacement flow, remove the current marked distance from the threshold distance set, and repeat S1-S7;

[0043] S8. Otherwise, one marked circle corresponds to one replacement area, and a replacement area set is obtained.

[0044] Optionally, the driving planning strategy includes:

[0045] Get any element in the surplus interval set and record it as the marked surplus interval;

[0046] Get the number of surplus intervals after marking the surplus interval on the surplus distance, recorded as the surplus number f;

[0047] Calculate the number of surpluses and multiply it by the length of the grouping interval, and record the result as the surplus distance;

[0048] Get the midpoint of the marked surplus interval and record it as the surplus midpoint;

[0049] The circle drawn with the midpoint of the surplus as the center and the surplus distance as the radius is called the limiting circle;

[0050] Get all charging and swapping stations included in the restricted circle to form a global charging and swapping station set;

[0051] Obtain the charging and swapping station set constituting the restricted charging and swapping station set of the global charging and swapping station set in the replacement area corresponding to the marked surplus interval;

[0052] Then, each surplus interval corresponds to a set of restricted charging and swapping stations.

[0053] Optionally, the adopting of the charging planning strategy further includes:

[0054] Get the average speed v of the vehicle;

[0055] Get the surplus interval where the current vehicle is located, and record it as the first execution interval;

[0056] The surplus intervals starting from the first execution interval are named the second execution interval, the third execution interval, ... the hth execution interval, forming an estimation interval set;

[0057] The estimated charging strategy is executed for each element in the estimated interval set, specifically:

[0058] Get any element in the estimated interval set and record it as the positioning interval;

[0059] Traverse the set of restricted charging and swapping stations in the positioning interval to obtain the reserve power of each battery;

[0060] Measure the distance from the midpoint of the first execution interval to the midpoint of the positioning interval, and record it as the subsequent distance u;

[0061] Calculate the subsequent distance divided by the average speed, and record the result as the subsequent time t, t = u ÷ v;

[0062] Calculate the subsequent time and multiply it by the unit charge capacity, and record the result as the pre-charge capacity;

[0063] Then, after a subsequent period of time, the reserve power of each battery in the restricted charging and swapping station set corresponding to the positioning interval is increased by the pre-added power to obtain the estimated power of each battery;

[0064] Then, the number of free charging piles and batteries and the estimated power of the batteries of the elements in the restricted charging and swapping station set corresponding to each surplus interval after a subsequent period of time are collectively referred to as the station reserve profile.

[0065] Optionally, the pre-warning strategy includes:

[0066] Set reminders to recommend warning power levels of charging and swapping stations to users;

[0067] Get the user's current power and compare the current power with the warning power:

[0068] When the current power is greater than the warning power, no charging and swapping station is recommended for the user;

[0069] When the existing power is less than or equal to the warning power, a charging and swapping station is recommended to the user.

[0070] Optionally, the adopting of the charging planning strategy further includes:

[0071] Set a determination value to determine whether the charging and swapping station has charging conditions;

[0072] The charging judgment strategy is executed for each element in the estimated interval set, specifically:

[0073] Obtain the power station reserve profile of the restricted charging and swapping power station set corresponding to any element in the estimation interval set, and obtain the number of free charging piles, which is recorded as the free number;

[0074] When the remaining number is less than the judgment value, the execution interval is recorded as the discard interval;

[0075] When the number of free spaces is greater than or equal to the judgment value, the execution interval is recorded as the taking interval;

[0076] Get all sampling intervals to form a sampling interval set;

[0077] An element in the interval set is recommended to the user, and a charging and swapping station in the interval selected by the user for charging is obtained, which is recorded as a charging execution station.

[0078] Optionally, the battery replacement planning strategy includes:

[0079] The battery replacement judgment strategy is executed for each element in the estimated interval set, specifically:

[0080] Get any element in the estimated interval set and record it as the branch interval;

[0081] Obtain the estimated power of the batteries in the restricted charging and swapping station set at the branch interval, recorded as the branch power set;

[0082] Obtain the user's driving path, and obtain the distance from the midpoint of the branch interval to the destination, which is recorded as the measured distance;

[0083] Get the remaining distance corresponding to the branch interval, recorded as the branch distance;

[0084] Calculate the measured distance plus the branch distance and record it as the implementation distance;

[0085] Calculate the implementation distance and multiply it by the unit power consumption, and record it as the standard power consumption;

[0086] When there is an element in the branch power set that is greater than the standard power, the branch interval is recorded as the standard interval;

[0087] Get all the target intervals to form a target interval set;

[0088] Recommend elements in the standard interval set to the user, and obtain the charging and swapping station selected by the user for battery replacement, which is recorded as the battery replacement execution station.

[0089] Optionally, the cost comparison strategy includes:

[0090] When the user is charging at a power station:

[0091] Obtain the user's driving route and the distance from the charging station to the destination, which is recorded as the charging distance;

[0092] Calculate the storage distance multiplied by the unit power consumption, and record the result as the storage power x;

[0093] Calculate the distance between the midpoint of the first execution interval and the charging execution station, and record it as the consumption distance;

[0094] Calculate the consumed distance multiplied by the unit power consumption, and record the result as the consumed power y;

[0095] Get the current power z;

[0096] Calculate x-(zy) and record the result as the driving power;

[0097] Calculate the driving power and multiply it by the unit cost, and record the result as the charging cost;

[0098] When the user replaces the battery at the battery replacement station:

[0099] The cost of obtaining a battery that meets the required power capacity is recorded as the battery replacement fee;

[0100] When the charging cost is greater than the battery replacement cost, a power station for battery replacement is recommended to the user;

[0101] When the charging cost is less than or equal to the battery replacement cost, a charging station is recommended to the user.

[0102] The present invention has the following beneficial effects:

[0103] 1. This intelligent management method for new energy vehicle charging piles based on the Internet of Things counts the daily flow of each charging and swapping station, calculates the replacement flow, and obtains the replacement flow of each charging and swapping station. Set the replacement area and use the boundary rectangle and marking distance to define the replacement area. The replacement flow data helps managers understand the frequency of use of each station and optimize the site layout and services. The use of boundary rectangles and marking distances simplifies the area division process and improves the accuracy and efficiency of the division. Calculate the average replacement flow of the power station in the replacement area, use the standard replacement flow to adjust the area division, and optimize the configuration of the power station area. Ensure that the power stations in each area can operate efficiently, balance the load, and prevent resource waste. Dynamically adjust the area division to enhance the flexibility and adaptability of the system.

[0104] 2. The intelligent management method of new energy vehicle charging piles based on the Internet of Things obtains the marked surplus interval, calculates the remaining distance, and calibrates the restriction circle. Users can make reasonable driving plans based on the remaining power. The use of restriction circles helps to accurately determine the accessible charging and swapping stations and improve driving efficiency.

[0105] 3. The intelligent management method of new energy vehicle charging piles based on the Internet of Things implements the estimated charging strategy for the elements in the estimated interval set, calculates the subsequent time according to the average speed and the subsequent distance, calculates the charging amount in the subsequent time, and obtains the pre-added power. The reserve power of each battery in each charging and swapping station after the subsequent time is increased by the pre-added power to obtain the estimated power; by calculating the pre-added power in advance, it is ensured that the charging and swapping station can meet the power demand of the user at a specific time in the future. It improves the continuity and predictability of the journey and reduces the uncertainty factors in the journey.

[0106] 4. The intelligent management method of new energy vehicle charging piles based on the Internet of Things sets a warning power level and decides whether to recommend a charging and swapping station based on the existing power level. This prevents users from interrupting their trips due to insufficient power and increases driving safety. The setting of the warning power level helps users prepare for charging in advance to avoid inconvenience.

[0107] 5. The intelligent management method of new energy vehicle charging piles based on the Internet of Things analyzes the number of free charging piles at the charging and swapping station, and decides whether to recommend the station to the user based on the set judgment value. The execution intervals that meet the conditions are combined into an interval set and recommended to the user. By quantitatively analyzing the availability of charging piles, it is ensured that the recommended charging and swapping stations can meet the actual needs of users. Users are prevented from going to charging and swapping stations with fully loaded charging piles, which reduces user waiting time and improves service efficiency and user satisfaction. It is ensured that each charging and swapping station recommended to the user is a decision made based on the actual available resources, which improves the accuracy and reliability of the service.

[0108] 6. This intelligent management method for new energy vehicle charging piles based on the Internet of Things evaluates the amount of electricity required for battery swapping, and obtains the implementation distance by calculating the measured distance and branch distance. The implementation distance is used to calculate the required standard amount of electricity. The estimated amount of electricity at the battery swap station is compared with the standard amount of electricity, and the battery swap station that can meet the needs is selected. Accurate calculation ensures that users can choose a battery swap station with sufficient electricity to support driving to the destination. The comparison of estimated electricity helps users avoid choosing stations with insufficient electricity, reducing inconvenience and potential risks during the journey. Optimize users' journey planning and improve power station utilization efficiency and user satisfaction.

[0109] 7. The intelligent management method of new energy vehicle charging piles based on the Internet of Things calculates the amount of electricity required from the charging execution station to the destination to obtain the stored electricity, and calculates the actual amount of electricity consumed from the current location to the charging station to obtain the consumed electricity. Based on the stored electricity and consumed electricity, the total charging demand and the corresponding charging cost are calculated. Compare the cost of charging and battery replacement, and recommend cost-effective options to users. Ensure that users have enough electricity to reach the destination after charging, and improve driving safety and reliability. Cost calculation helps users make more economical choices and save costs. By providing options with clearer costs, users' trust and satisfaction with the service are enhanced. BRIEF DESCRIPTION OF THE DRAWINGS

[0110] Figure 1 Schematic diagram of the method of the present invention. DETAILED DESCRIPTION

[0111] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0112] Embodiment 1, refer to Figure 1 , an intelligent management method for new energy vehicle charging piles based on the Internet of Things,

[0113] Obtain charging and swapping stations connected to the Internet of Things system to form a charging and swapping station collection;

[0114] Setting a threshold distance for dividing the areas where charging and swapping stations are located;

[0115] According to the charging and swapping station set and the threshold distance, a regional division strategy is adopted to obtain a replacement area set;

[0116] Obtain the power consumption per unit distance traveled by the vehicle, recorded as unit power consumption;

[0117] Obtain the existing power of the vehicle, divide the existing power by the unit power consumption, and record the result as the surplus distance;

[0118] Set the grouping interval for dividing the surplus distance;

[0119] Divide the surplus distance into e surplus intervals using the grouping interval to form a surplus interval set;

[0120] For a surplus interval, a driving planning strategy is adopted to obtain a set of restricted charging and swapping stations;

[0121] Based on the existing power, a pre-warning strategy is used to determine whether to recommend a charging and swapping station to the user;

[0122] Get the driving route planned by the user;

[0123] When users charge their vehicles at a charging and swapping station:

[0124] Obtain the battery charge per unit time at the charging and swapping station, recorded as unit charge;

[0125] Get the cost of charging the battery per unit, and record it as unit cost;

[0126] According to the existing power and driving route, a charging planning strategy is adopted to obtain a charging execution power station;

[0127] When a user replaces the battery of a vehicle at a charging and swapping station:

[0128] According to the driving route, the battery swap planning strategy is adopted to obtain the battery swap execution station;

[0129] According to the charging execution station and the battery replacement execution station, a cost comparison strategy is adopted to recommend the best solution to users.

[0130] The regional division strategy adopted includes:

[0131] The number of vehicles passing through the charging and swapping station in one day is recorded as the daily flow rate; the historical daily flow rate of each charging and swapping station in the charging and swapping station set is counted, and the average of multiple daily flow rates of each charging and swapping station is calculated to obtain the replacement flow rate of each charging and swapping station;

[0132] The threshold distances include a first threshold distance, a second threshold distance, ... an e-th threshold distance, which constitute a threshold distance set, wherein the e-1th threshold distance is less than the e-th threshold distance;

[0133] Set a replacement area, which includes charging and swapping stations;

[0134] A bounding rectangle is set, and the bounding rectangle includes the charging and swapping station;

[0135] Setting a standard displacement flow rate for determining the displacement area;

[0136] S1. Get the smallest element in the threshold distance set and record it as the marked distance;

[0137] S2, draw a circle with the marked distance as the radius, recorded as the demarcated circle;

[0138] S3, obtaining the position of each element in the charging and swapping station set, and obtaining a bounding rectangle containing all elements in the charging and swapping station set, which is recorded as a marked bounding rectangle;

[0139] S4, dividing the marked boundary rectangle with a demarcated circle;

[0140] The demarcated circle including the charging and swapping station is recorded as the marked demarcated circle;

[0141] Get all the marked circles to form a marked circle set.

[0142] The regional division strategy adopted also includes:

[0143] S5. For a marked circle, calculate the sum of the replacement flows of all charging and swapping stations in the marked circle, and record the result as the replacement sum a;

[0144] Calculate the number of charging and swapping stations in the circle marked, and record the result as the number of stations b;

[0145] Calculate the total displacement and divide it by the number of power stations. The result is recorded as the average displacement flow c, c = a ÷ b;

[0146] S6, traverse all elements in the marked circle set, obtain the average replacement flow of each element, and form an average replacement flow set;

[0147] S7, compare all elements in the standard replacement flow and the average replacement flow set, and when there is an average replacement flow greater than the standard replacement flow, remove the current marked distance from the threshold distance set, and repeat S1-S7;

[0148] S8. Otherwise, one marked circle corresponds to one replacement area, and a replacement area set is obtained.

[0149] Statistics are collected for the daily flow of each charging and swapping station, and the replacement flow is calculated. The replacement area is set, and the replacement area is defined by the bounding rectangle and the marking distance. The flow data helps managers understand the usage frequency of each station and optimize the station layout and services. The use of bounding rectangles and marking distances simplifies the regional division process and improves the accuracy and efficiency of the division. Calculate the average replacement flow of the power station in the replacement area, use the standard replacement flow to adjust the regional division, and optimize the configuration of the power station area. Ensure that the power stations in each area can operate efficiently, balance the load, and prevent resource waste. Dynamically adjust the regional division to enhance the flexibility and adaptability of the system.

[0150] The driving planning strategy adopted includes:

[0151] Get any element in the surplus interval set and record it as the marked surplus interval;

[0152] Get the number of surplus intervals after marking the surplus interval on the surplus distance, recorded as the surplus number f;

[0153] Calculate the number of surpluses and multiply it by the length of the grouping interval, and record the result as the surplus distance;

[0154] Get the midpoint of the marked surplus interval and record it as the surplus midpoint;

[0155] The circle drawn with the midpoint of the surplus as the center and the surplus distance as the radius is called the limiting circle;

[0156] Get all charging and swapping stations included in the restricted circle to form a global charging and swapping station set;

[0157] Obtain the charging and swapping station set constituting the restricted charging and swapping station set of the global charging and swapping station set in the replacement area corresponding to the marked surplus interval;

[0158] Then, each surplus interval corresponds to a set of restricted charging and swapping stations.

[0159] Get the marked surplus interval, calculate the remaining distance, and calibrate the restriction circle. Users can make a reasonable driving plan based on the remaining power. The use of restriction circles helps to accurately determine the accessible charging and swapping stations and improve driving efficiency.

[0160] The charging planning strategy adopted also includes:

[0161] Get the average speed v of the vehicle;

[0162] Get the surplus interval where the current vehicle is located, and record it as the first execution interval;

[0163] The surplus intervals starting from the first execution interval are named the second execution interval, the third execution interval, ... the hth execution interval, forming an estimation interval set;

[0164] In this embodiment, the value of h is 4, and the elements in the estimation interval set are respectively the second execution interval, the third execution interval, the fourth execution interval, and the fifth execution interval.

[0165] The estimated charging strategy is executed for each element in the estimated interval set, specifically:

[0166] Get any element in the estimated interval set and record it as the positioning interval;

[0167] Traverse the set of restricted charging and swapping stations in the positioning interval to obtain the reserve power of each battery;

[0168] Measure the distance from the midpoint of the first execution interval to the midpoint of the positioning interval, and record it as the subsequent distance u;

[0169] Calculate the subsequent distance divided by the average speed, and record the result as the subsequent time t, t = u ÷ v;

[0170] Calculate the subsequent time and multiply it by the unit charge capacity, and record the result as the pre-charge capacity;

[0171] Then, after a subsequent period of time, the reserve power of each battery in the restricted charging and swapping station set corresponding to the positioning interval is increased by the pre-added power to obtain the estimated power of each battery;

[0172] Then, the number of free charging piles and batteries and the estimated power of the batteries of the elements in the restricted charging and swapping station set corresponding to each surplus interval after a subsequent period of time are collectively referred to as the station reserve profile.

[0173] The estimated charging strategy is executed for the elements in the estimated interval set. The subsequent time is calculated according to the average speed and the subsequent distance. The charging amount in the subsequent time is calculated to obtain the pre-charged power. The reserve power of each battery after the subsequent time at each charging and swapping station is increased by the pre-charged power to obtain the estimated power. By calculating the pre-charged power in advance, it is ensured that the charging and swapping station can meet the power demand of users at a specific time in the future. The continuity and predictability of the journey are improved, and the uncertain factors in the journey are reduced.

[0174] The pre-warning strategy adopted includes:

[0175] Set reminders to recommend warning power levels of charging and swapping stations to users;

[0176] Get the user's current power and compare the current power with the warning power:

[0177] When the current power is greater than the warning power, no charging and swapping station is recommended for the user;

[0178] When the existing power is less than or equal to the warning power, a charging and swapping station is recommended to the user.

[0179] Set a warning power level and decide whether to recommend a charging station based on the current power level. This prevents users from interrupting their trips due to insufficient power and increases driving safety. The setting of the warning power level helps users prepare for charging in advance to avoid inconvenience.

[0180] The charging planning strategy adopted also includes:

[0181] Set a determination value to determine whether the charging and swapping station has charging conditions;

[0182] The charging judgment strategy is executed for each element in the estimated interval set, specifically:

[0183] Obtain the power station reserve profile of the restricted charging and swapping power station set corresponding to any element in the estimation interval set, and obtain the number of free charging piles, which is recorded as the free number;

[0184] When the remaining number is less than the judgment value, the execution interval is recorded as the discard interval;

[0185] When the number of free spaces is greater than or equal to the judgment value, the execution interval is recorded as the taking interval;

[0186] Get all sampling intervals to form a sampling interval set;

[0187] An element in the interval set is recommended to the user, and a charging and swapping station in the interval selected by the user for charging is obtained, which is recorded as a charging execution station.

[0188] In this embodiment, the elements in the interval set are the third execution interval and the fourth execution interval. The interval selected by the user for charging is the third execution interval. The elements in the restricted charging and swapping station set corresponding to the third execution interval have one charging and swapping station, which is recorded as the third interval station. Therefore, the charging execution station is the third interval station.

[0189] Analyze the number of available charging piles at the charging and swapping station, and decide whether to recommend the station to the user based on the set judgment value. Group the execution intervals that meet the conditions into a set of intervals and recommend them to the user. By quantitatively analyzing the availability of charging piles, ensure that the recommended charging and swapping stations can meet the actual needs of users. Avoid users going to charging and swapping stations with fully loaded charging piles, reduce user waiting time, and improve service efficiency and user satisfaction. Ensure that each charging and swapping station recommended to the user is based on the actual available resources, which improves the accuracy and reliability of the service.

[0190] The battery replacement planning strategy includes:

[0191] The battery replacement judgment strategy is executed for each element in the estimated interval set, specifically:

[0192] Get any element in the estimated interval set and record it as the branch interval;

[0193] Obtain the estimated power of the batteries in the restricted charging and swapping station set at the branch interval, recorded as the branch power set;

[0194] Obtain the user's driving path, and obtain the distance from the midpoint of the branch interval to the destination, which is recorded as the measured distance;

[0195] Get the remaining distance corresponding to the branch interval, recorded as the branch distance;

[0196] Calculate the measured distance plus the branch distance and record it as the implementation distance;

[0197] The reason for adding the measured distance to the branch distance is that the locations of the charging and swapping stations that users can choose in the branch intervals are uncertain. In order to ensure that users have enough power to reach their destination after replacing the battery at the charging and swapping station, the longest distance the user needs to travel after replacing the battery is calculated to select the replaceable battery.

[0198] Calculate the implementation distance and multiply it by the unit power consumption, and record it as the standard power consumption;

[0199] When there is an element in the branch power set that is greater than the standard power, the branch interval is recorded as the standard interval;

[0200] Get all the target intervals to form a target interval set;

[0201] Recommend elements in the standard interval set to the user, and obtain the charging and swapping station selected by the user for battery replacement, which is recorded as the battery replacement execution station.

[0202] In this embodiment, the elements in the standard interval set are the second execution interval and the fifth execution interval. The standard interval selected by the user for battery replacement is the second execution interval. The elements in the restricted charging and swapping station set corresponding to the second execution interval have one charging and swapping station, which is recorded as the second interval station. Therefore, the battery swapping execution station is the second interval station.

[0203] Evaluate the amount of electricity required for battery swapping, and calculate the measured distance and branch distance to obtain the implementation distance. Use the implementation distance to calculate the required standard electricity. Compare the estimated electricity of the battery swap station with the standard electricity, and choose the battery swap station that can meet the needs. Accurate calculation ensures that users can choose a battery swap station with enough electricity to support driving to the destination. The comparison of estimated electricity helps users avoid choosing stations with insufficient electricity, reducing inconvenience and potential risks during the journey. Optimize users' journey planning and improve power station utilization efficiency and user satisfaction.

[0204] The cost comparison strategy adopted includes:

[0205] When the user is charging at a power station:

[0206] Obtain the user's driving route and the distance from the charging station to the destination, which is recorded as the charging distance;

[0207] Calculate the storage distance multiplied by the unit power consumption, and record the result as the storage power x;

[0208] Calculate the distance between the midpoint of the first execution interval and the charging execution station, and record it as the consumption distance;

[0209] Calculate the consumed distance multiplied by the unit power consumption, and record the result as the consumed power y;

[0210] Get the current power z;

[0211] Calculate x-(zy) and record the result as the driving power;

[0212] Calculate the driving power and multiply it by the unit cost, and record the result as the charging cost;

[0213] When the user replaces the battery at the battery replacement station:

[0214] The cost of obtaining a battery that meets the required power capacity is recorded as the battery replacement fee;

[0215] When the charging cost is greater than the battery replacement cost, a power station for battery replacement is recommended to the user;

[0216] When the charging cost is less than or equal to the battery replacement cost, a charging station is recommended to the user.

[0217] In this embodiment, the charging cost is less than or equal to the battery replacement cost, and a charging power station is recommended to the user.

[0218] Calculate the amount of electricity required to travel from the charging station to the destination to obtain the stored electricity. Calculate the actual amount of electricity consumed from the current location to the charging station to obtain the consumed electricity. Calculate the total charging demand and the corresponding charging cost based on the stored electricity and consumed electricity. Compare the cost of charging and battery replacement to recommend more cost-effective options to users. Ensure that users have enough electricity to reach their destination after charging, improving driving safety and reliability. Cost calculation helps users make more economical choices and save costs. By providing options with clearer costs, users' trust and satisfaction with the service are enhanced.

[0219] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0220] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the technical principles of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. An intelligent management method for new energy vehicle charging piles based on the Internet of Things, characterized in that: include, Obtain charging and swapping stations connected to the Internet of Things system to form a charging and swapping station collection; Setting a threshold distance for dividing the areas where charging and swapping stations are located; According to the charging and swapping station set and the threshold distance, a regional division strategy is adopted to obtain a replacement area set; Obtain the power consumption per unit distance traveled by the vehicle, recorded as unit power consumption; Obtain the existing power of the vehicle, divide the existing power by the unit power consumption, and record the result as the surplus distance; Set the grouping interval for dividing the surplus distance; Divide the surplus distance into e surplus intervals using the grouping interval to form a surplus interval set; For a surplus interval, a driving planning strategy is adopted to obtain a set of restricted charging and swapping stations; Based on the existing power, a pre-warning strategy is used to determine whether to recommend a charging and swapping station to the user; Get the driving route planned by the user; When users charge their vehicles at a charging and swapping station: Obtain the battery charge per unit time at the charging and swapping station, recorded as unit charge; Get the cost of charging the battery per unit, and record it as unit cost; According to the existing power and driving route, a charging planning strategy is adopted to obtain a charging execution power station; When a user replaces the battery of a vehicle at a charging and swapping station: According to the driving route, the battery swap planning strategy is adopted to obtain the battery swap execution station; According to the charging execution station and the battery replacement execution station, a cost comparison strategy is adopted to recommend the best solution to users.

2. The intelligent management method for new energy vehicle charging piles based on the Internet of Things according to claim 1 is characterized in that: The regional division strategy adopted includes: The number of vehicles passing through the charging and swapping station in one day is recorded as the daily traffic volume; The historical daily flow of each charging and swapping station in the charging and swapping station set is counted, and the average of multiple daily flow rates of each charging and swapping station is calculated to obtain the replacement flow of each charging and swapping station; The threshold distances include a first threshold distance, a second threshold distance, ... an e-th threshold distance, which constitute a threshold distance set, wherein the e-1th threshold distance is less than the e-th threshold distance; Set a replacement area, which includes charging and swapping stations; A bounding rectangle is set, and the bounding rectangle includes the charging and swapping station; Setting a standard displacement flow rate for determining the displacement area; S1. Get the smallest element in the threshold distance set and record it as the marked distance; S2, draw a circle with the marked distance as the radius, recorded as the demarcated circle; S3, obtaining the position of each element in the charging and swapping station set, and obtaining a bounding rectangle containing all elements in the charging and swapping station set, which is recorded as a marked bounding rectangle; S4, dividing the marked boundary rectangle with a demarcated circle; The demarcated circle including the charging and swapping station is recorded as the marked demarcated circle; Get all the marked circles to form a marked circle set.

3. The intelligent management method for new energy vehicle charging piles based on the Internet of Things according to claim 1 is characterized in that: The regional division strategy adopted also includes: S5. For a marked circle, calculate the sum of the replacement flows of all charging and swapping stations in the marked circle, and record the result as the replacement sum a; Calculate the number of charging and swapping stations in the circle marked, and record the result as the number of stations b; Calculate the total displacement and divide it by the number of power stations. The result is recorded as the average displacement flow c, c = a ÷ b; S6, traverse all elements in the marked circle set, obtain the average replacement flow of each element, and form an average replacement flow set; S7. Compare all elements in the standard replacement flow and average replacement flow sets: When there is an average replacement flow greater than the standard replacement flow, the current marker distance is removed from the threshold distance set, and S1-S7 are repeated; S8. Otherwise, one marked circle corresponds to one replacement area, and a replacement area set is obtained.

4. The intelligent management method for new energy vehicle charging piles based on the Internet of Things according to claim 1 is characterized in that: The driving planning strategy adopted includes: Get any element in the surplus interval set and record it as the marked surplus interval; Get the number of surplus intervals after marking the surplus interval on the surplus distance, recorded as the surplus number f; Calculate the number of surpluses and multiply it by the length of the grouping interval, and record the result as the surplus distance; Get the midpoint of the marked surplus interval and record it as the surplus midpoint; The circle drawn with the midpoint of the surplus as the center and the surplus distance as the radius is called the limiting circle; Get all charging and swapping stations included in the restricted circle to form a global charging and swapping station set; Obtain the charging and swapping stations in the replacement area where the marked surplus interval is located from the global charging and swapping station set to form a restricted charging and swapping station set; Then, each surplus interval corresponds to a set of restricted charging and swapping stations.

5. The intelligent management method of new energy vehicle charging piles based on the Internet of Things according to claim 1 is characterized in that: The charging planning strategy adopted includes: Get the average speed v of the vehicle; Get the surplus interval where the current vehicle is located, and record it as the first execution interval; The surplus intervals starting from the first execution interval are named the second execution interval, the third execution interval, ... the hth execution interval, forming an estimation interval set; The estimated charging strategy is executed for each element in the estimated interval set, specifically: Get any element in the estimated interval set and record it as the positioning interval; Traverse the set of restricted charging and swapping stations in the positioning interval to obtain the reserve power of each battery; Measure the distance from the midpoint of the first execution interval to the midpoint of the positioning interval, and record it as the subsequent distance u; Calculate the subsequent distance divided by the average speed, and record the result as the subsequent time t, t = u ÷ v; Calculate the subsequent time and multiply it by the unit charge capacity, and record the result as the pre-charge capacity; Then, after a subsequent period of time, the reserve power of each battery in the restricted charging and swapping station set corresponding to the positioning interval is increased by the pre-added power to obtain the estimated power of each battery; Then, the number of free charging piles and batteries and the estimated power of the batteries of the elements in the restricted charging and swapping station set corresponding to each surplus interval after a subsequent period of time are collectively referred to as the station reserve profile.

6. The method for intelligent management of new energy vehicle charging piles based on the Internet of Things according to claim 1 is characterized in that: The pre-warning strategy adopted includes: Set reminders to recommend warning power levels of charging and swapping stations to users; Get the user's current power and compare the current power with the warning power: When the current power is greater than the warning power, no charging and swapping station is recommended for the user; When the existing power is less than or equal to the warning power, a charging and swapping station is recommended to the user.

7. The method for intelligent management of new energy vehicle charging piles based on the Internet of Things according to claim 5 is characterized in that: The charging planning strategy adopted also includes: Set a determination value to determine whether the charging and swapping station has charging conditions; Obtain the power station reserve profile of the restricted charging and swapping power station set corresponding to any element in the estimation interval set, and obtain the number of free charging piles, which is recorded as the free number; When the remaining number is less than the judgment value, the execution interval is recorded as the discard interval; When the number of free spaces is greater than or equal to the judgment value, the execution interval is recorded as the taking interval; Get all sampling intervals to form a sampling interval set; An element in the interval set is recommended to the user, and a charging and swapping station in the interval selected by the user for charging is obtained, which is recorded as a charging execution station.

8. The intelligent management method for new energy vehicle charging piles based on the Internet of Things according to claim 1 is characterized in that: The battery replacement planning strategy includes: Get any element in the estimated interval set and record it as the branch interval; Obtain the estimated power of the batteries in the restricted charging and swapping station set at the branch interval, recorded as the branch power set; Obtain the user's driving path, and obtain the distance from the midpoint of the branch interval to the destination, which is recorded as the measured distance; Get the remaining distance corresponding to the branch interval, recorded as the branch distance; Calculate the measured distance plus the branch distance and record it as the implementation distance; Calculate the implementation distance and multiply it by the unit power consumption, and record it as the standard power consumption; When there is an element in the branch power set that is greater than the standard power, the branch interval is recorded as the standard interval; Get all the target intervals to form a target interval set; Recommend elements in the standard interval set to the user, and obtain the charging and swapping station selected by the user for battery replacement, which is recorded as the battery replacement execution station.

9. The method for intelligent management of new energy vehicle charging piles based on the Internet of Things according to claim 1 is characterized in that: The cost comparison strategy adopted includes: When the user is charging at a power station: Obtain the user's driving route and the distance from the charging station to the destination, which is recorded as the charging distance; Calculate the storage distance multiplied by the unit power consumption, and record the result as the storage power x; Calculate the distance between the midpoint of the first execution interval and the charging execution station, and record it as the consumption distance; Calculate the consumed distance multiplied by the unit power consumption, and record the result as the consumed power y; Get the current power z; Calculate x-(zy) and record the result as the driving power; Calculate the driving power and multiply it by the unit cost, and record the result as the charging cost; When the user replaces the battery at the battery replacement station: The cost of obtaining a battery that meets the required power consumption is recorded as the battery replacement fee; When the charging cost is greater than the battery replacement cost, a power station for battery replacement is recommended to the user; When the charging cost is less than or equal to the battery replacement cost, a charging station is recommended to the user.

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