A new energy vehicle charging pile intelligent management method based on an internet of things

Abstract

The application 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, which comprises the following steps: according to a charging and battery swapping station set and a threshold distance, a region division strategy is adopted to obtain a replacement region set; a driving planning strategy is adopted to obtain a limited charging and battery swapping station set; according to existing power, a pre-warning strategy is adopted to determine whether to recommend a charging and battery swapping station for a user; when a user charges a vehicle at a charging and battery swapping station: according to existing power and a driving path, a charging planning strategy is adopted to obtain a charging execution station; according to the driving path, a battery swapping planning strategy is adopted to obtain a battery swapping execution station; according to the charging execution station and the battery swapping execution station, a cost comparison strategy is adopted to recommend an optimal scheme for the user. In the process that the user drives an electric vehicle, power station reserve profiles of different charging and battery swapping stations are predicted, so that the user can select a charging and battery swapping station with the lowest cost, and service efficiency and user satisfaction are improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of intelligent electric vehicle charging, in particular to a new energy vehicle charging pile intelligent management method based on the Internet of Things. BACKGROUND

[0002] Charging and battery swap stations provide services for electric vehicle users to charge or quickly replace batteries. They can be traditional charging piles where users can charge their vehicles, or more advanced battery swap stations where users can quickly replace batteries without waiting for the battery to charge. From an environmental perspective, charging and battery swap 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 battery swap stations promote employment and the development of 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 battery swap stations address the practical needs of users, promote the popularization of electric vehicles, and bring widespread environmental and economic benefits. They are key infrastructure for promoting the sustainable development of modern cities.

[0003] In order to make the driver more clearly understand the distance of each charging and battery swap station and the state of the energy stored inside the charging and battery swap station, people integrate charging and battery swap stations through Internet of Things technology, and integrate the location information of the charging and battery swap stations and the energy reserve information even the number of customers inside the charging and battery swap station to the Internet platform for people to read, thereby guiding people to the appropriate charging and battery swap station for vehicle charging.

[0004] The existing electric vehicles can only choose charging or battery swap charging and battery swap stations according to the existing power and the geographical location of the charging and battery swap stations when charging or battery swap services are performed at the charging and battery swap stations. When the user arrives at a charging and battery swap station, if the number of available charging piles and the battery reserve power of the charging and battery swap station cannot meet the demand of the electric vehicle, the user experience is poor.

[0005] The present application proposes that during the driving of the electric vehicle, the reserve profiles of the power stations with different surplus intervals are obtained, and when recommending a charging and battery swap station for the user, the charging execution power station and the battery swap execution power station are obtained, and the optimal scheme is recommended for the user by comparing the costs. SUMMARY

[0006] The present application provides a new energy vehicle charging pile intelligent management method based on the Internet of Things, which is used to promote the solution to the problems mentioned in the background art.

[0007] The present application provides the following technical scheme: a new energy vehicle charging pile intelligent management method based on the Internet of Things, comprising:

[0008] Get the charging and battery swap stations under the Internet of Things system to form a charging and battery swap station set;

[0009] setting a threshold distance for dividing the area where the charging and battery swapping station is located;

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

[0011] Obtain the power consumption of the vehicle driving a unit distance, denoted as unit power consumption;

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

[0013] Setting a grouping interval for dividing the surplus distance;

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

[0015] For one surplus interval, a driving planning strategy is adopted to obtain a limited charging and battery swapping station set;

[0016] According to the existing power, a pre-warning strategy is adopted to determine whether to recommend a charging and battery swapping station to the user;

[0017] Obtain the driving path planned by the user;

[0018] When the user charges the vehicle at the charging and battery swapping station:

[0019] Obtain the charging amount of the battery at the charging and battery swapping station per unit time, denoted as unit charging amount;

[0020] Obtain the cost of the unit charging amount of the battery, denoted as unit cost;

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

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

[0023] According to the driving path, a battery replacement planning strategy is adopted to obtain a battery replacement execution station;

[0024] According to the charging execution station and the battery replacement execution station, a cost comparison strategy is adopted to recommend the optimal scheme to the user.

[0025] Optionally, the region division strategy includes:

[0026] Denote the number of vehicles passing through the charging and battery swapping station in a day as the daily flow; count the historical daily flow of each charging and battery swapping station in the charging and battery swapping station set, and calculate the mean value for multiple daily flows of each charging and battery swapping station to obtain the replacement flow of each charging and battery swapping station;

[0027] The threshold distance includes a first threshold distance, a second threshold distance, and an e-th threshold distance, which constitute a threshold distance set, wherein an e-1-th threshold distance is less than an e-th threshold distance;

[0028] A replacement region is set, and the replacement region contains the charging and replacing station;

[0029] A bounding rectangle is set, and the bounding rectangle contains the charging and replacing station;

[0030] A standard replacement flow for determining the replacement region is set;

[0031] S1, the smallest element in the threshold distance set is obtained, and is recorded as a marked distance;

[0032] S2, a circle with the marked distance as a radius is drawn, and is recorded as a marked circle;

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

[0034] S4, the marked bounding rectangle is divided by the marked circle;

[0035] The marked circle containing the charging and replacing station is recorded as a marked marked circle;

[0036] All the marked marked circles are obtained, and constitute a marked circle set.

[0037] Optionally, the area division strategy comprises:

[0038] S5, for a marked circle, the sum of replacement flows of all charging and replacing stations in the marked circle is calculated, and the result is recorded as a replacement total a;

[0039] The number of charging and replacing stations in the marked circle is calculated, and the result is recorded as a station number b;

[0040] The replacement total is divided by the station number, and the result is recorded as an average replacement flow c, c=a÷b;

[0041] S6, all elements in the marked circle set are traversed to obtain the average replacement flow of each element, and constitute an average replacement flow set;

[0042] S7, the standard replacement flow is compared with all elements in the average replacement flow set, and when there is an average replacement flow greater than the standard replacement flow, the current marked distance is removed from the threshold distance set, and S1-S7 are repeated;

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

[0044] Optionally, the driving planning strategy comprises:

[0045] Obtain any one element in the surplus interval set, denoted as the marked surplus interval;

[0046] Obtain the number of surplus intervals after the marked surplus interval in the surplus distance, denoted as the balance number f;

[0047] Calculate the length of the balance number multiplied by the grouping interval, and the result is denoted as the balance distance;

[0048] Obtain the midpoint of the marked surplus interval, denoted as the surplus midpoint;

[0049] Draw a circle with the surplus midpoint as the center and the balance distance as the radius, denoted as the limit circle;

[0050] Obtain all charging and battery swap stations contained in the limit circle to form a global charging and battery swap station set;

[0051] Obtain the charging and battery swap stations of the global charging and battery swap station set in the replacement area corresponding to the marked surplus interval to form a limit charging and battery swap station set;

[0052] Therefore, each surplus interval corresponds to a limit charging and battery swap station set.

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

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

[0055] Obtain the surplus interval where the current vehicle is located, denoted as the first execution interval;

[0056] The surplus intervals from the first execution interval to the back are sequentially named as the second execution interval, the third execution interval, …, the hth execution interval, forming an estimation interval set;

[0057] Execute the estimation charging strategy on each element in the estimation interval set, specifically:

[0058] Obtain any one element in the estimation interval set, denoted as the positioning interval;

[0059] Traverse the limit charging and battery swap station set of the positioning interval to obtain the reserve capacity of each battery;

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

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

[0062] Calculate the subsequent time multiplied by the unit charging capacity, and the result is denoted as the pre-charging amount;

[0063] Then, after a subsequent time, the reserve electric quantity of each battery in the set of limited charging and battery swap stations corresponding to the positioning interval is increased by the pre-adding electric quantity, to obtain the estimated electric quantity of each battery.

[0064] Then, the number of empty charging piles and the number of batteries and the estimated electric quantity of the batteries in the set of limited charging and battery swap stations corresponding to each surplus interval after a subsequent time are collectively referred to as a station reserve profile.

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

[0066] Setting the warning electric quantity for the user to recommend the charging and battery swap station;

[0067] Obtaining the existing electric quantity of the user, and comparing the existing electric quantity with the warning electric quantity:

[0068] When the existing electric quantity is greater than the warning electric quantity, the user is not recommended to charge the battery swap station;

[0069] When the existing electric quantity is less than or equal to the warning electric quantity, the user is recommended to charge the battery swap station.

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

[0071] Setting a determination value for determining whether the charging and battery swap station has a charging condition;

[0072] For each element in the set of estimation intervals, the charging determination strategy is executed, specifically:

[0073] Obtaining the station reserve profile of the set of limited charging and battery swap stations corresponding to any one element in the set of estimation intervals, obtaining the number of empty charging piles, and recording the empty number;

[0074] When the empty number is less than the determination value, record the execution interval as a discarded interval;

[0075] When the empty number is greater than or equal to the determination value, record the execution interval as a taken interval;

[0076] Obtaining all taken intervals to form a set of taken intervals;

[0077] For the user to recommend the element in the set of taken intervals, obtaining the charging and battery swap station in the taken interval selected by the user to charge, and recording it as a charging execution station.

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

[0079] For each element in the set of estimation intervals, the battery swap determination strategy is executed, specifically:

[0080] Obtaining any one element in the set of estimation intervals, recording it as a branch interval;

[0081] Obtain the estimated power of the battery in the branch interval limit charging and replacing station set, denoted as the branch power set;

[0082] Obtain the driving path of the user, and obtain the distance from the midpoint of the branch interval to the destination, denoted as the calculated distance;

[0083] Obtain the balance distance corresponding to the branch interval, denoted as the branch distance;

[0084] Calculate the calculated distance plus the branch distance, denoted as the implementation distance;

[0085] Calculate the implementation distance multiplied by the unit power consumption, denoted as the target power;

[0086] When there is an element greater than the target power in the branch power set, record the branch interval as the target interval;

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

[0088] Recommend the elements in the target interval set to the user, and obtain the charging and replacing station selected by the user for replacing the battery, denoted as the replacing execution station.

[0089] Optionally, the fee comparison strategy includes:

[0090] When the user charges at the charging execution station:

[0091] Obtain the driving path of the user, and obtain the distance from the charging execution station to the destination, denoted as the storage distance;

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

[0093] Calculate the distance from the midpoint of the first execution interval to the charging execution station, denoted as the consumption distance;

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

[0095] Obtain the existing power z;

[0096] Calculate x-(z-y), and the result is denoted as the driving power;

[0097] Calculate the driving power multiplied by the unit fee, and the result is denoted as the charging fee;

[0098] When the user replaces the battery at the replacing execution station:

[0099] Obtain the fee of the battery with the target power, denoted as the replacing fee;

[0100] When the charging fee is greater than the replacing fee, recommend the replacing execution station to the user;

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

[0102] The present application has the following advantages:

[0103] 1. The new energy vehicle charging pile intelligent management method based on the Internet of Things, which counts the daily traffic of each charging and battery replacement station, calculates the replacement traffic, and obtains the replacement traffic of each charging and battery replacement station. Set the replacement area, use the boundary rectangle and the marker distance to define the replacement area. Through the replacement traffic data, the manager can understand the use frequency of each site, optimize the site layout and service. The use of boundary rectangle and marker distance simplifies the region division process and improves the accuracy and efficiency of division. Calculate the average replacement traffic of the power station in the replacement area, use the standard replacement traffic to adjust the region 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. Dynamic adjustment of region division enhances the flexibility and adaptability of the system.

[0104] 2. The new energy vehicle charging pile intelligent management method based on the Internet of Things, obtains the marker surplus interval, calculates the balance distance, and calibrates the limit circle. Users can develop a reasonable travel plan according to the remaining power. The use of the limit circle helps to accurately determine the reachable charging and battery replacement station, and improves the travel efficiency.

[0105] 3. The new energy vehicle charging pile intelligent management method based on the Internet of Things, executes the estimation charging strategy on the elements in the estimation interval set, calculates the follow-up time according to the average speed and follow-up distance, calculates the charging amount in the follow-up time, obtains the pre-charge amount, and each battery in each charging and battery replacement station increases the pre-charge amount after the follow-up time, obtains the estimated power; By calculating the pre-charge amount in advance, it ensures that the charging and battery replacement station can meet the power demand of the user at a specific time in the future. Improve the continuity and predictability of the journey, reduce the uncertainty factors in the journey.

[0106] 4. The new energy vehicle charging pile intelligent management method based on the Internet of Things, sets the warning power, and decides whether to recommend the charging and battery replacement station according to the existing power. Avoid interrupting the journey due to insufficient power, increase the safety of the journey. The setting of the warning power helps users to prepare for charging in advance and avoid inconvenience.

[0107] 5、The new energy vehicle charging pile intelligent management method based on the Internet of Things analyzes the number of empty charging piles in the charging and battery swapping station, and determines whether to recommend the station to the user according to 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 empty situation of the charging pile, it is ensured that the recommended charging and battery swapping station can meet the actual needs of the user. Avoiding users going to the charging and battery swapping station with full charging piles, reducing the waiting time of users, improving the service efficiency and user satisfaction. Ensuring that each charging and battery swapping station recommended to the user is based on the actual available resources, improving the accuracy and reliability of the service.

[0108] 6、The new energy vehicle charging pile intelligent management method based on the Internet of Things evaluates the required power for battery swapping, calculates the implementation distance by calculating the distance and branch distance, and calculates the required standard power using the implementation distance. Compare the estimated power of the battery swapping station with the standard power, and select the battery swapping station that can meet the demand. Accurate calculation ensures that users can choose a battery swapping station with enough power to support driving to the destination. The comparison of the estimated power helps users avoid selecting stations with insufficient power, reducing the inconvenience and potential risks during the journey. Optimizing the user's journey planning, improving the efficiency of the power station and user satisfaction.

[0109] 7、The new energy vehicle charging pile intelligent management method based on the Internet of Things calculates the required power from the charging execution station to the destination to obtain the stored power, and calculates the actual power consumption from the current location to the charging station to obtain the consumed power. According to the stored power and the consumed power, calculate the total charging demand and the corresponding charging cost. Compare the cost of charging and battery swapping to recommend the option with higher cost-effectiveness to the user. Ensure that the user has enough power to reach the destination after charging, improve the safety and reliability of driving. Cost calculation helps users make more economical choices and save costs. By providing clear cost comparison options, it enhances user trust and satisfaction with the service. BRIEF DESCRIPTION OF DRAWINGS

[0110] Figure 1 The figure is a schematic diagram of the method of the present application. DETAILED DESCRIPTION

[0111] The technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, not all. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative labor are within the scope of protection of the present application.

[0112] Embodiment one, refer to Figure 1 A new energy vehicle charging pile intelligent management method based on the Internet of Things,

[0113] Access the charging and battery swap stations under the Internet of Things system to form a charging and battery swap station set;

[0114] Set a threshold distance for dividing the area where the charging and battery swap station is located;

[0115] According to the charging and battery swap station set and the threshold distance, a region division strategy is adopted to obtain a replacement region set;

[0116] Obtain the power consumption of the vehicle driving a unit distance, denoted as unit power consumption;

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

[0118] Set a 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 one surplus interval, a driving planning strategy is adopted to obtain a limited charging and battery swap station set;

[0121] According to the existing power, a pre-warning strategy is adopted to determine whether to recommend a charging and battery swap station to the user;

[0122] Obtain the user's planned driving route;

[0123] When the user charges the vehicle at the charging and battery swap station:

[0124] Obtain the charging amount of the battery at the charging and battery swap station per unit time, denoted as unit charging amount;

[0125] Obtain the cost of the unit charging amount of the battery, denoted as unit cost;

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

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

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

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

[0130] The region division strategy includes:

[0131] Record the number of vehicles passing through the charging and battery swap station in a day as the daily traffic; count the historical daily traffic of each charging and battery swap station in the charging and battery swap station set, and calculate the average value for multiple daily traffic of each charging and battery swap station to obtain the replacement traffic of each charging and battery swap station;

[0132] The threshold distance includes a first threshold distance, a second threshold distance, …, and an e-th threshold distance, which constitute a threshold distance set, wherein an e-1-th threshold distance is less than an e-th threshold distance;

[0133] A replacement region is set, and the replacement region contains the charging and swapping station;

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

[0135] A standard replacement flow for determining the replacement region is set;

[0136] S1, the smallest element in the threshold distance set is obtained, denoted as a marked distance;

[0137] S2, a circle with the marked distance as the radius is drawn, denoted as a marked circle;

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

[0139] S4, the marked bounding rectangle is divided by the marked circle;

[0140] The marked circle containing the charging and swapping station is denoted as a marked marked circle;

[0141] All marked marked circles are obtained, which constitute a marked circle set.

[0142] The area division strategy further includes:

[0143] S5, for a marked circle, the sum of the replacement flows of all charging and swapping stations in the marked circle is calculated, and the result is denoted as a replacement total a;

[0144] The number of charging and swapping stations in the marked circle is calculated, and the result is denoted as a station number b;

[0145] The replacement total is divided by the number of stations, and the result is denoted as an average replacement flow c, c=a÷b;

[0146] S6, all elements in the marked circle set are traversed to obtain the average replacement flow of each element, which constitutes an average replacement flow set;

[0147] S7, the standard replacement flow is compared with all elements in the average replacement flow set, and when there is an average replacement flow greater than the standard replacement flow, the current marked distance is removed from the threshold distance set, and S1-S7 are repeated;

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

[0149] Statistics of each charging station daily traffic, and calculate the replacement flow. Set the replacement area, using the boundary rectangle and the label distance to define the replacement area. Through the flow data to help managers understand the use frequency of each site, optimize the site layout and service. The use of boundary rectangle and label distance simplifies the area division process, improves the accuracy and efficiency of division. Calculate the average replacement flow of the charging station in the replacement area, use the standard replacement flow to adjust the area division, optimize the configuration of the charging station area. Ensure that each area of the charging station can operate efficiently, balance the load, prevent resource waste. Dynamic adjustment of area division enhances the flexibility and adaptability of the system.

[0150] The driving planning strategy includes:

[0151] Get any one element in the surplus interval set, denoted as the labeled surplus interval;

[0152] Get the number of surplus intervals after the labeled surplus interval on the surplus distance, denoted as the balance number f;

[0153] Calculate the balance number multiplied by the length of the grouping interval, and the result is denoted as the balance distance;

[0154] Get the midpoint of the labeled surplus interval, denoted as the surplus midpoint;

[0155] Draw a circle with the surplus midpoint as the center and the balance distance as the radius, denoted as the limit circle;

[0156] Get all charging stations contained in the limit circle to form the global charging station set;

[0157] Get the charging stations of the global charging station set in the replacement area corresponding to the labeled surplus interval to form the limit charging station set;

[0158] Then, each surplus interval corresponds to a limit charging station set.

[0159] Get the labeled surplus interval, calculate the balance distance, and demarcate the limit circle. Users can develop a reasonable driving plan according to the remaining power. The use of the limit circle helps to accurately determine the reachable charging stations and improve driving efficiency.

[0160] The charging planning strategy further includes:

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

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

[0163] The surplus intervals from the first execution interval to the back are named as the second execution interval, the third execution interval, …, the hth execution interval in turn to form the estimation interval set;

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

[0165] The estimation charging strategy is performed on each element in the estimation interval set, specifically:

[0166] Any element in the estimation interval set is obtained, denoted as a positioning interval;

[0167] The reserve capacity of each battery in the set of restricted charging and swapping stations in the positioning interval is obtained by traversing the set of restricted charging and swapping stations in the positioning interval;

[0168] The distance from the midpoint of the first execution interval to the midpoint of the positioning interval is measured, denoted as the subsequent distance u;

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

[0170] The subsequent time is multiplied by the unit charging capacity, and the result is denoted as the pre-charge amount;

[0171] Therefore, after the subsequent time, the reserve capacity of each battery in the set of restricted charging and swapping stations corresponding to the positioning interval increases by the pre-charge amount, obtaining the estimated capacity of each battery;

[0172] Therefore, the number of empty charging piles and the number of batteries in the set of restricted charging and swapping stations corresponding to each surplus interval after the subsequent time, as well as the estimated capacity of the batteries, are collectively referred to as the station reserve profile.

[0173] The estimation charging strategy is performed on the elements in the estimation interval set, the subsequent time is calculated based on the average speed and the subsequent distance, the charging amount in the subsequent time is calculated, the pre-charge amount is obtained, the reserve capacity of each battery in each charging and swapping station after the subsequent time increases by the pre-charge amount, and the estimated capacity is obtained. By calculating the pre-charge amount 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. The continuity and predictability of the trip are improved, and the uncertain factors in the trip are reduced.

[0174] The pre-warning strategy includes:

[0175] The warning power for the user to recommend charging and swapping stations is set;

[0176] The existing power of the user is obtained, and the existing power and the warning power are compared:

[0177] When the existing power is greater than the warning power, the user is not recommended to charge and swap stations;

[0178] When the existing power is less than or equal to the warning power, the user is recommended to charge and swap stations.

[0179] Set the alert power, and determine whether to recommend the charging station according to the existing power. Avoid the user's trip interruption due to insufficient power, and increase the driving safety. The setting of the alert power helps the user to prepare for charging in advance and avoid inconvenience.

[0180] The charging planning strategy further includes:

[0181] Set a judgment value for determining whether the charging station has charging conditions;

[0182] Execute the charging judgment strategy for each element in the estimation interval set, specifically:

[0183] Get the power station reserve profile of the set of restricted charging stations corresponding to any element in the estimation interval set, and get the number of empty charging piles, denoted as the empty number;

[0184] When the empty number is less than the judgment value, record the execution interval as the discarded interval;

[0185] When the empty number is greater than or equal to the judgment value, record the execution interval as the taken interval;

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

[0187] Recommend the elements in the taken interval set to the user, and get the charging station in the taken interval selected by the user for charging, denoted as the charging execution station.

[0188] In this embodiment, the elements in the taken interval set are the third execution interval and the fourth execution interval, the user selects the third execution interval for charging, and the element in the set of restricted charging stations corresponding to the third execution interval has a charging station, denoted as the third interval station. Therefore, the charging execution station is the third interval station.

[0189] Analyze the number of empty charging piles of the charging station, and determine whether to recommend the station to the user according to the set judgment value. Form the taken interval set with the execution intervals that meet the conditions, and recommend it to the user. By quantitatively analyzing the empty situation of the charging pile, it is ensured that the recommended charging station can meet the actual needs of the user. Avoid the user to go to the charging station with full charging pile, reduce the waiting time of the user, improve the service efficiency and user satisfaction. It is ensured that each charging 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] Execute the battery replacement judgment strategy for each element in the estimation interval set, specifically:

[0192] Get any element in the estimation interval set, denoted as the branch interval;

[0193] Obtain the estimated power of the batteries in the set of limited charging and swapping stations at the branch interval, denoted as the branch power set;

[0194] Obtain the user's travel path, and obtain the distance from the midpoint of the branch interval to the destination, denoted as the calculated distance;

[0195] Obtain the residual distance corresponding to the branch interval, denoted as the branch distance;

[0196] Calculate the calculated distance plus the branch distance, denoted as the implementation distance;

[0197] The reason for using the calculated distance plus the branch distance is that the location of the charging and swapping station that the user can choose in the branch interval is uncertain. In order to ensure that the user has enough power to reach the destination after swapping the battery at the charging and swapping station, the farthest distance the user needs to travel after swapping the battery is calculated to select the replaceable battery.

[0198] Calculate the implementation distance multiplied by the unit power consumption, denoted as the target power;

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

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

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

[0202] In this embodiment, the elements in the target interval set are the second execution interval and the fifth execution interval, the user selects the second execution interval for battery replacement, and the element in the set of limited charging and swapping stations corresponding to the second execution interval has one charging and swapping station, denoted as the second interval station. Therefore, the battery replacement execution station is the second interval station.

[0203] Evaluate the power required for battery replacement by calculating the calculated distance and the branch distance to obtain the implementation distance. Calculate the target power required using the implementation distance. Compare the estimated power of the battery replacement station with the target power to select a battery replacement station that meets the demand. Accurate calculation ensures that the user can select a battery replacement station with sufficient power to support travel to the destination. Comparison of estimated power helps users avoid selecting stations with insufficient power, reducing inconvenience and potential risks during travel. Optimizing user journey planning improves station utilization efficiency and user satisfaction.

[0204] The fee comparison strategy includes:

[0205] When the user charges at the charging execution station:

[0206] Obtain the user's driving path, obtain the distance from the charging execution station to the destination, denoted as the storage distance;

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

[0208] Calculate the distance from the midpoint of the first execution interval to the charging execution station, denoted as the consumption distance;

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

[0210] Obtain the existing power z;

[0211] Calculate x-(z-y), and the result is denoted as the driving power;

[0212] Calculate the driving power multiplied by the unit cost, and the result is denoted as the charging cost;

[0213] When the user exchanges the battery at the battery exchange execution station:

[0214] Obtain the cost of the battery that meets the standard power, denoted as the battery exchange cost;

[0215] When the charging cost is greater than the battery exchange cost, recommend the battery exchange execution station to the user;

[0216] When the charging cost is less than or equal to the battery exchange cost, recommend the charging execution station to the user.

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

[0218] Calculate the power required from the charging execution station to the destination, obtain the storage power, calculate the power consumed from the current location to the charging station, obtain the consumption power. According to the storage power and the consumption power, calculate the total charging demand and the corresponding charging cost. Compare the costs of charging and battery exchange, and recommend the option with higher cost-effectiveness to the user. Ensure that the user has enough power to reach the destination after charging, and improve the safety and reliability of driving. Cost calculation helps users make more economical choices and save costs. By providing clear cost comparison options, enhance user trust and satisfaction with the service.

[0219] It is to be noted that, as used in this document, the term "indicia" is intended to encompass any type of data, information, or other content, whether in the form of text, graphics, images, video, audio, or otherwise. It is to be further noted that, as used in this document, the terms "coupled" and "connected," along with derivatives thereof, can be used to mean one or more of the following: in electrical communication with; physically touching; in working communication with; and / or information can be shared between any two components. It is to be further noted that, as used in this document, the terms "include" and "comprise," along with derivatives thereof, can be used to indicate inclusion of one or more elements or steps; these terms are to be read expansively and do not be limited to the listing of those elements or steps that directly follow the term "include" or "comprise."

[0220] The above description is merely that of the preferred embodiments of the present application and modifications and alterations can be made of the preferred embodiments of the present application without departing from the technical principles of the present application. It is therefore intended that the present application be construed as including all such modifications and alterations as fall within the scope of the appended claims.

Claims

1. A new energy vehicle charging pile intelligent management method based on the Internet of Things, characterized by: The method comprises the following steps: acquiring charging and battery swapping stations under an Internet of Things system to form a charging and battery swapping station set; setting a threshold distance for dividing the area where the charging and battery swapping stations are located; using a region division strategy according to the charging and battery swapping station set and the threshold distance, counting the daily traffic of each charging and battery swapping station, calculating the replacement traffic, setting a replacement area, using a boundary rectangle and a marking distance to define the replacement area, and obtaining a replacement area set; acquiring the power consumption of a vehicle per unit distance, denoted as unit power consumption; acquiring the existing power of the vehicle, dividing the existing power by the unit power consumption, and recording the result as surplus distance; setting a grouping interval for dividing the surplus distance; dividing the surplus distance into e surplus intervals using the grouping interval to form a surplus interval set; for one surplus interval, using a driving planning strategy to acquire a marked surplus interval, calculating the balance distance, and marking a limit circle to obtain a limit charging and battery swapping station set; using a pre-warning strategy according to the existing power to set a warning power, deciding whether to recommend a charging and battery swapping station according to the existing power, and determining whether to recommend a charging and battery swapping station for the user to avoid interrupting the journey due to insufficient power and to increase driving safety. The setting of the warning power helps the user to prepare for charging in advance to avoid inconvenience; acquiring a driving path planned by the user; when the user charges the vehicle at a charging and battery swapping station: acquiring the charging amount of the battery per unit time at the charging and battery swapping station, denoted as unit charging amount; acquiring the cost of the unit charging amount, denoted as unit cost; using a charging planning strategy according to the existing power and the driving path to acquire the average speed v of the vehicle; acquiring the surplus interval where the current vehicle is located, denoted as the first execution interval; the surplus intervals from the first execution interval to the back are sequentially named as the second execution interval, the third execution interval,..., the hth execution interval to form an estimation interval set, and a charging execution station is obtained; when the user replaces the battery of the vehicle at a charging and battery swapping station: using a battery replacement planning strategy according to the driving path to evaluate the power required for battery replacement, calculating the implementation distance by calculating the measured distance and the branch distance, calculating the required standard power using the implementation distance, comparing the estimated power of the battery replacement station with the required standard power, and selecting a battery replacement station that can meet the demand to obtain a battery replacement execution station; using a cost comparison strategy according to the charging execution station and the battery replacement execution station, calculating the power required from the charging execution station to the destination to obtain the storage power, calculating the power consumed from the current location to the charging station to obtain the consumed power, calculating the total charging demand and the corresponding charging cost according to the storage power and the consumed power, and comparing the costs of charging and battery replacement to recommend the optimal solution for the user. 2.The IoT-based intelligent management method for new energy vehicle charging piles according to claim 1, characterized in that: The region division strategy comprises the following steps: denoting the number of vehicles passing through a charging and battery swapping station per day as daily traffic; counting the historical daily traffic of each charging and battery swapping station in the charging and battery swapping station set, calculating the average value for multiple daily traffics of each charging and battery swapping station to obtain the replacement traffic of each charging and battery swapping station; The threshold distance comprises a first threshold distance, a second threshold distance,..., and an e-th threshold distance to form a threshold distance set, wherein the e-1-th threshold distance is less than the e-th threshold distance; The replacement area contains charging and battery swapping stations. Set a bounding rectangle, and the bounding rectangle contains the charging station; Set a standard replacement flow for determining the replacement area; S1, get the smallest element in the threshold distance set, and mark it as the marker distance; S2, draw a circle with the marker distance as the radius, and mark it as the demarcation circle; S3, get the position of each element in the charging station set, and get the bounding rectangle containing all elements in the charging station set, and mark it as the marker bounding rectangle; S4, divide the marker bounding rectangle with the demarcation circle; Mark the demarcation circle containing the charging station as the marker demarcation circle; Get all the marker demarcation circles to form a marker demarcation circle set. 3.The IoT-based intelligent management method for new energy vehicle charging piles according to claim 1, characterized in that: The area division strategy also includes: S5, for a marker demarcation circle, calculate the sum of the replacement flow of all charging stations in the marker demarcation circle, and mark the result as the replacement total a; Calculate the number of charging stations in the marker demarcation circle, and mark the result as the station number b; Calculate the replacement total divided by the number of charging stations, and mark the result as the average replacement flow c, c=a÷b; S6, traverse all elements in the marker demarcation circle set to get the average replacement flow of each element, and form an average replacement flow set; S7, compare the standard replacement flow with all elements in the average replacement flow set: When there is an average replacement flow greater than the standard replacement flow, remove the current marker distance from the threshold distance set, and repeat S1-S7; S8, otherwise, one marker demarcation circle corresponds to one replacement area, and a replacement area set is obtained. 4.The IoT-based intelligent management method for new energy vehicle charging piles according to claim 1, characterized in that: The driving planning strategy includes: Get any element in the surplus interval set, and mark it as the marker surplus interval; Get the number of surplus intervals after the marker surplus interval in the surplus distance, and mark it as the balance number f; Calculate the balance number multiplied by the length of the grouping interval, and mark the result as the balance distance; Get the midpoint of the marker surplus interval, and mark it as the surplus midpoint; Draw a circle with the surplus midpoint as the center and the balance distance as the radius, and mark it as the limit circle; Get all charging stations contained in the limit circle to form a global charging station set; Get the charging stations in the replacement area where the marker surplus interval is located from the global charging station set to form a limit charging station set; Then, each surplus interval corresponds to a limit charging station set. 5.The IoT-based intelligent management method for new energy vehicle charging piles according to claim 1, characterized in that: The charging planning strategy includes: For each element in the estimation interval set, execute the estimation charging strategy, which is: Get any element in the estimation interval set, and mark it as the positioning interval; Traverse the limit charging station set of the positioning interval to get the reserve capacity of each battery; Measure the distance from the midpoint of the first execution interval to the midpoint of the positioning interval, and mark it as the subsequent distance u; Calculate the subsequent distance divided by the average speed, and mark the result as the subsequent time t, t=u÷v; Calculate the subsequent time multiplied by the unit charging capacity, and mark the result as the pre-charging capacity; Then, after the subsequent time, the reserve capacity of each battery in the limit charging station set corresponding to the positioning interval increases by the pre-charging capacity, and the estimated capacity of each battery is obtained; Then, the number of empty charging piles, the number of batteries, and the estimated capacity of the batteries in the limit charging station set corresponding to each surplus interval after the subsequent time are collectively referred to as the station reserve profile. 6.The IoT-based intelligent management method for new energy vehicle charging piles according to claim 1, characterized in that: The pre-warning strategy includes: Setting a warning power for the user to recommend a charging station; Obtaining the existing power of the user, comparing the existing power with the warning power; When the existing power is greater than the warning power, the user is not recommended a charging station; When the existing power is less than or equal to the warning power, the user is recommended a charging station. 7.The IoT-based intelligent management method for new energy vehicle charging piles according to claim 5, characterized in that: The charging planning strategy further comprises: Setting a judgment value for judging whether the charging station has charging conditions; Obtaining the power reserve profile of the limited charging station set corresponding to any element in the estimation interval set, and obtaining the number of empty charging piles, denoted as the empty number; When the empty number is less than the judgment value, the execution interval is recorded as a discarded interval; When the empty number is greater than or equal to the judgment value, the execution interval is recorded as an adopted interval; Obtaining all the adopted intervals to form an adopted interval set; The user is recommended an element in the adopted interval set, and the charging station in the adopted interval selected by the user for charging is recorded as a charging execution station. 8.The IoT-based intelligent management method for new energy vehicle charging piles according to claim 1, characterized in that: The battery replacement planning strategy comprises: Obtaining any element in the estimation interval set, denoted as a branch interval; Obtaining the estimated power of the battery in the limited charging station set of the branch interval, denoted as a branch power set; Obtaining the driving path of the user, and obtaining the distance from the midpoint of the branch interval to the destination, denoted as a calculated distance; Obtaining the residual distance corresponding to the branch interval, denoted as a branch distance; Calculating the calculated distance plus the branch distance, denoted as an implementation distance; Calculating the implementation distance multiplied by the unit power consumption, denoted as a target power; When there is an element greater than the target power in the branch power set, the branch interval is recorded as a target interval; Obtaining all the target intervals to form a target interval set; The user is recommended an element in the target interval set, and the charging station selected by the user for battery replacement is recorded as a battery replacement execution station. 9.The IoT-based intelligent management method for new energy vehicle charging piles according to claim 1, characterized in that: The cost comparison strategy comprises: When the user charges at the charging execution station: Obtaining the driving path of the user, and obtaining the distance from the charging execution station to the destination, denoted as a storage distance; Calculating the storage distance multiplied by the unit power consumption, denoted as a storage power x; Calculating the distance from the midpoint of the first execution interval to the charging execution station, denoted as a consumption distance; Calculating the consumption distance multiplied by the unit power consumption, denoted as a consumption power y; Obtaining the existing power z; Calculating x-(z-y), denoted as a driving power; Calculating the driving power multiplied by the unit cost, denoted as a charging cost; When the user replaces the battery at the battery replacement execution station: Obtaining the battery cost of the target power, denoted as a battery replacement cost; When the charging cost is greater than the battery replacement cost, the user is recommended the battery replacement execution station; When the charging cost is less than or equal to the battery replacement cost, the user is recommended the charging execution station.

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