A method and device for controlling operation of intelligent charging pile based on Internet of Things

Abstract

The present invention discloses a method and device for controlling the operation of an intelligent charging pile based on the Internet of Things, including queuing and packaging two adjacent vehicles according to the queuing sequence of the vehicle's scheduled charging time to generate multiple combined vehicle charging units; obtaining the required power, target charging time and charging efficiency of each vehicle in the charging unit to calculate the minimum power required for each vehicle to be fully charged within the target charging time. The weight of each vehicle is determined according to the target charging time and the required power; the total power of each dual-gun charging pile in the available dual-gun charging piles is obtained, and power is allocated to each vehicle according to the weight of each vehicle in the corresponding combined vehicle charging unit; the matching strategy between the dual-gun charging pile and the vehicle is determined according to the allocation result and the minimum power required to be fully charged; the present invention can match the dual-gun charging pile and perform power allocation based on the actual needs of the vehicle, optimize the resource utilization of the charging pile, and improve the overall operation efficiency.

Description

Technical Field

[0001] The present invention relates to the technical field of charging piles, and in particular to an intelligent charging pile operation control method and device based on the Internet of Things. Background Art

[0002] A dual-gun charging pile is a charging pile equipped with two independent charging ports. This design allows charging services for two electric vehicles at the same time. Compared with a single-gun charging pile, a dual-gun charging pile has higher flexibility and efficiency. However, for the operation and control of dual-gun charging piles, most of them adopt a simple first-come-first-served or fixed power output method. For example, when two vehicles are charging at the same time, the charging power is usually evenly distributed, which will lead to the problem of not being able to meet the charging needs of different car owners. Due to the unreasonable distribution of charging power, charging pile resources cannot be fully utilized, especially during peak hours, when some charging piles may be idle while other charging piles are lined up. In addition, car owners are usually unable to accurately estimate the charging time, especially when fast charging is required. Due to the problem of fixed or unreasonable distribution of charging power, the waiting time of car owners will be extended, reducing the user experience. Summary of the invention

[0003] In order to solve at least one of the technical problems mentioned above, the present invention provides an intelligent charging pile operation control method and device based on the Internet of Things.

[0004] In a first aspect, the present invention provides an operation control method of a smart charging pile based on the Internet of Things, the method comprising:

[0005] In response to reservation requests from different car owners, adjacent vehicles are queued and packaged according to the queue sequence of vehicle reservation charging time to generate multiple combined vehicle charging units;

[0006] Based on the combined vehicle charging unit, the required power, target charging time and charging efficiency of each vehicle are obtained to calculate the minimum power required for each vehicle to be fully charged within the target charging time:

[0007] ;

[0008] ;

[0009] In the formula, , Indicates The minimum power required for the first and second vehicles in a combined vehicle charging unit to be fully charged within the target charging time. , , They respectively represent the required power, target charging time and charging efficiency of the first vehicle; , , They respectively represent the required power, target charging time and charging efficiency of the second vehicle;

[0010] Determine the weight of each vehicle based on the target charging time and required power:

[0011] ;

[0012] ;

[0013] In the formula, , Indicates The weights of the first and second vehicles in a combined vehicle charging unit; is the proportional adjustment factor, satisfying ;

[0014] Get the total power of each dual-gun charging pile among the available dual-gun charging piles, and allocate power to each vehicle according to the weight of each vehicle in the corresponding combined vehicle charging unit:

[0015] ;

[0016] ;

[0017] In the formula, Indicates The total power of a dual-gun charging pile, , Indicates The double-gun charging station is the The power allocated to the first and second vehicles in a combined vehicle charging unit;

[0018] The matching strategy between the dual-gun charging pile and the vehicle is determined based on the power allocation results of each vehicle and the minimum power required to fully charge the vehicle within the target charging time.

[0019] Preferably, the matching strategy between the dual-gun charging pile and the vehicle is determined according to the power allocation result of each vehicle and the minimum power required to fully charge the vehicle within the target charging time, including:

[0020] Based on the current combined vehicle charging unit, all available dual-gun charging piles that meet the preset conditions are identified, where the preset conditions are:

[0021] , ;

[0022] A dual-gun charging pile with the smallest total charging power is selected from all available dual-gun charging piles that meet preset conditions as a target charging pile for charging the current combined vehicle charging unit.

[0023] Preferably, the method further comprises:

[0024] When the current combined vehicle charging unit cannot match the target charging pile, determining a first target vehicle with a later scheduled charging time in the current combined vehicle charging unit;

[0025] Identify the next queued vehicle adjacent to the first target vehicle in the queue sequence of all vehicles with scheduled charging times, and use the next queued vehicle to replace the first target vehicle to generate a new combined vehicle charging unit;

[0026] Power is allocated to the new combined vehicle charging unit until the preset conditions are met to match the corresponding available dual-gun charging pile.

[0027] Preferably, the method further comprises:

[0028] When the current combined vehicle charging unit cannot match the target charging pile, determining a second target vehicle with a shorter target charging time in the current combined vehicle charging unit;

[0029] Generate a prompt instruction to prompt the owner to extend the target charging time. When it is determined that the owner accepts the instruction, receive the extended target charging time to determine the new weight and power allocation scheme in the current combined vehicle charging unit, and determine whether there is a matching available dual-gun charging pile under the updated power allocation scheme;

[0030] When it is determined that the vehicle owner does not accept the instruction, the order of the vehicle owner in the queue sequence for booking charging time is adjusted, and the combined vehicle charging units are repackaged.

[0031] In a second aspect, the present invention further provides an intelligent charging pile operation control device based on the Internet of Things, the device comprising:

[0032] The combined unit packaging module is used to respond to reservation requests from different car owners, and to queue and package two adjacent vehicles according to the queue sequence of the vehicle reservation charging time to generate multiple combined vehicle charging units;

[0033] The minimum power calculation module is used to obtain the required power, target charging time and charging efficiency of each vehicle based on the combined vehicle charging unit, so as to calculate the minimum power required to fully charge each vehicle within the target charging time:

[0034] ;

[0035] ;

[0036] In the formula, , Indicates The minimum power required for the first and second vehicles in a combined vehicle charging unit to be fully charged within the target charging time. , , They respectively represent the required power, target charging time and charging efficiency of the first vehicle; , , They respectively represent the required power, target charging time and charging efficiency of the second vehicle;

[0037] The vehicle weight determination module is used to determine the weight of each vehicle based on the target charging time and the required power:

[0038] ;

[0039] ;

[0040] In the formula, , Indicates The weights of the first and second vehicles in a combined vehicle charging unit; is the proportional adjustment factor, satisfying ;

[0041] The vehicle power allocation module is used to obtain the total power of each dual-gun charging pile among the available dual-gun charging piles, and allocate power to each vehicle according to the weight of each vehicle in the corresponding combined vehicle charging unit:

[0042] ;

[0043] ;

[0044] In the formula, Indicates The total power of a dual-gun charging pile, , Indicates The double-gun charging station is the The power allocated to the first and second vehicles in a combined vehicle charging unit;

[0045] The matching strategy determination module is used to determine the matching strategy between the dual-gun charging pile and the vehicle based on the power allocation result of each vehicle and the minimum power required to fully charge the required power within the target charging time.

[0046] Preferably, the matching strategy determination module is further used to:

[0047] Based on the current combined vehicle charging unit, all available dual-gun charging piles that meet the preset conditions are identified, where the preset conditions are:

[0048] , ;

[0049] A dual-gun charging pile with the smallest total charging power is selected from all available dual-gun charging piles that meet preset conditions as a target charging pile for charging the current combined vehicle charging unit.

[0050] Preferably, the matching strategy determination module is further used to:

[0051] When the current combined vehicle charging unit cannot match the target charging pile, determining a first target vehicle with a later scheduled charging time in the current combined vehicle charging unit;

[0052] Identify the next queued vehicle adjacent to the first target vehicle in the queue sequence of all vehicles with scheduled charging times, and use the next queued vehicle to replace the first target vehicle to generate a new combined vehicle charging unit;

[0053] Power is allocated to the new combined vehicle charging unit until the preset conditions are met to match the corresponding available dual-gun charging pile.

[0054] Preferably, the matching strategy determination module is further used to:

[0055] When the current combined vehicle charging unit cannot match the target charging pile, determining a second target vehicle with a shorter target charging time in the current combined vehicle charging unit;

[0056] Generate a prompt instruction to prompt the owner to extend the target charging time. When it is determined that the owner accepts the instruction, receive the extended target charging time to determine the new weight and power allocation scheme in the current combined vehicle charging unit, and determine whether there is a matching available dual-gun charging pile under the updated power allocation scheme;

[0057] When it is determined that the vehicle owner does not accept the instruction, the order of the vehicle owner in the queue sequence for booking charging time is adjusted, and the combined vehicle charging units are repackaged.

[0058] In a third aspect, the present invention further provides an electronic device comprising a processor and a memory, wherein the memory is used to store computer program code, and the computer program code comprises computer instructions. When the processor executes the computer instructions, the electronic device executes the method as described in the first aspect above and any possible implementation thereof.

[0059] In a fourth aspect, the present invention further provides a computer-readable storage medium, wherein a computer program is stored in the computer-readable storage medium, wherein the computer program includes program instructions, and when the program instructions are executed by a processor of an electronic device, the processor executes the method as described in the first aspect above and any possible implementation thereof.

[0060] Compared with the prior art, the present invention has the following beneficial effects:

[0061] 1) The present invention calculates the minimum power required to fully charge each vehicle within the target charging time, and introduces the concept of weight and dynamic power allocation mechanism to achieve intelligent matching of available charging piles and precise allocation of charging power, thereby more reasonably determining the charging strategy, avoiding resource waste, optimizing the resource utilization of the charging piles, improving the overall operation and control efficiency of the charging piles, and enhancing the flexibility and adaptability of the charging pile system.

[0062] 2) The present invention can plan the charging plan in advance according to the owner's reservation information, reducing unnecessary waiting time. By rationally queuing and packaging the vehicles scheduled for charging to form multiple combined vehicle charging units, the charging process can be further optimized to ensure that each vehicle can complete charging within its expected time. In addition, when the owner's charging needs cannot be met, the present invention will promptly send a prompt instruction to remind the user to adjust the charging time or the charging sequence, thereby making the charging process more efficient and quick, greatly improving the user experience.

[0063] It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure. BRIEF DESCRIPTION OF THE DRAWINGS

[0064] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the background technology, the drawings required for use in the embodiments of the present invention or the background technology will be described below.

[0065] The drawings herein are incorporated into the specification and constitute a part of the specification. These drawings illustrate embodiments consistent with the present disclosure and are used to illustrate the technical solutions of the present disclosure together with the specification.

[0066] Figure 1 A schematic diagram of a flow chart of a method for controlling operation of an intelligent charging pile based on the Internet of Things provided by an embodiment of the present invention;

[0067] Figure 2 A schematic diagram of the structure of an intelligent charging pile operation control device based on the Internet of Things provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0068] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings 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.

[0069] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present invention. The appearance of the phrase in various places in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0070] The current dual-gun charging piles usually adopt a first-come-first-served and fixed power output mode, which will lead to low resource utilization, low efficiency of charging pile operation and control, and inability to meet the charging needs of different car owners. To this end, the present invention combines the vehicle demand information and the charging pile situation, introduces the concept of weight and dynamic power allocation mechanism, solves the problems of low resource utilization efficiency, poor user experience and lack of flexibility in the traditional dual-gun charging pile management system, thereby achieving more efficient and flexible charging pile operation management.

[0071] See also Figure 1 , Figure 1 The present invention provides a flow chart of a method for controlling the operation of a smart charging pile based on the Internet of Things. Figure 1 As shown, the method includes:

[0072] S10, responding to reservation requests from different vehicle owners, queuing and packaging two adjacent vehicles in accordance with the queuing sequence of the vehicle reservation charging time, and generating multiple combined vehicle charging units.

[0073] Usually, the charging pile system provides a user interface or API interface to receive the owner's reservation request. Because it is a double-gun charging pile, the two vehicles are usually packaged into charging units first, and the charging piles and power allocation strategies are matched according to the order of the units.

[0074] Specifically, when packing the units, first sort all the vehicles according to the scheduled charging start time to form an ordered list. Traverse the sorted vehicle list and select two adjacent vehicles each time to form a group, namely the "charging unit". If there is only one vehicle left, it will be used as a charging unit. For each charging unit, record relevant information, such as vehicle ID, target charging time, required power and charging efficiency.

[0075] By packing adjacent vehicles into charging units, charging pile resources can be used more efficiently and the situation where a single charging pile is idle for a long time can be avoided. This helps to reduce the waiting time and idle time of the charging station and improve the overall charging efficiency.

[0076] S20. Based on the combined vehicle charging unit, the required power, target charging time and charging efficiency of each vehicle are obtained to calculate the minimum power required to fully charge each vehicle within the target charging time:

[0077] ;

[0078] ;

[0079] In the formula, , Indicates The minimum power required for the first and second vehicles in a combined vehicle charging unit to be fully charged within the target charging time. , , They respectively represent the required power, target charging time and charging efficiency of the first vehicle; , , They respectively represent the required power, target charging time and charging efficiency of the second vehicle;

[0080] In this embodiment, the required power refers to the power difference required to charge the vehicle from the current power state to the target power state.

[0081] ;

[0082] ;

[0083] In the formula, , Indicates The target power and current remaining power of the first vehicle in the combined vehicle charging unit; , Indicates The target power and current remaining power of the second vehicle in the combined vehicle charging unit.

[0084] The target charging time is the length of time the owner hopes to complete charging, which is usually specified by the owner when making a reservation. For example, some owners are in urgent need of the car, so they hope to charge to the target power in a shorter time, while some owners are not in urgent need of the car, so they have no special requirements for the charging time.

[0085] Charging efficiency refers to the efficiency of energy conversion during vehicle charging, which usually satisfies the following formula:

[0086] ;

[0087] ;

[0088] In the formula, , Indicates The charging efficiency of the first and second vehicles in a combined vehicle charging unit, , Indicates The first and second vehicles in a combined vehicle charging unit Battery value; Indicates The total energy and charging loss of the charging pile system when the first vehicle in a combined vehicle charging unit is charged; Indicates The total energy and charging losses of the charging pile system when charging the second vehicle in a combined vehicle charging unit.

[0089] After obtaining the above parameters, we can calculate , , that is, to ensure The minimum power required to charge the first and second vehicles in a combined vehicle charging unit to the required power within the target charging time.

[0090] S30. Determine the weight of each vehicle according to the target charging time and the required power:

[0091] ;

[0092] ;

[0093] In the formula, , Indicates The weights of the first and second vehicles in a combined vehicle charging unit; is the proportional adjustment factor, satisfying .

[0094] In this embodiment, the weight of each vehicle is determined mainly based on the target charging time and the required power, so as to reasonably allocate charging resources in a multi-vehicle charging scheduling scenario to ensure fairness and efficiency.

[0095] In the above weight calculation formula, the target charging time is used to reflect the urgency of vehicle charging. The shorter the time, the faster the vehicle needs to be charged, so its weight is higher. Therefore, when calculating the impact of charging time, the following conditions are met:

[0096] ;

[0097] In the above formula, This part reflects the reciprocal of the target charging time, that is, the urgency of charging. The shorter the target charging time, the larger this value is, indicating that the demand for the vehicle is more urgent. Therefore, by calculating the ratio of the reciprocal of each time to the reciprocal of the two time, the influence of the time ratio can be obtained. For example, when the charging time required for vehicle 1 and vehicle 2 is 3 hours and 2 hours respectively, their distribution weights in time are 0.4 and 0.6, that is, the shorter the required charging time is, the higher the weight of the time factor.

[0098] This part reflects the proportion of the required power relative to the total power required in the combined vehicle charging units. More power required means a greater charging demand for the vehicle, so its weight is higher. , a balance can be found between urgency and demand. , that is, the importance of the target charging time is greater than the importance of the charging capacity requirement. The closer it is to 1, the greater the impact of the target charging time on the weight.

[0099] By combining these two factors to determine the weight, and balancing the impact of these two factors through adjustment factors, vehicles that need to charge as quickly as possible or require more power can be given higher priority in scheduling, thereby balancing charging needs and ensuring the effective use of resources. Therefore, by introducing a weight mechanism, it can provide a basis for subsequent reasonable resource allocation, ensure that charging stations better manage their resources, reduce waiting time through reasonable scheduling, and improve the overall operational efficiency of charging stations.

[0100] S40, obtaining the total power of each dual-gun charging pile among the available dual-gun charging piles, and distributing power to each vehicle according to the weight of each vehicle in the corresponding combined vehicle charging unit:

[0101] ;

[0102] ;

[0103] In the formula, Indicates The total power of a dual-gun charging pile, , Indicates The double-gun charging station is the The power allocated to the first and second vehicles in a combined vehicle charging unit;

[0104] S50: Determine a matching strategy between the dual-gun charging pile and the vehicle according to the power allocation result of each vehicle and the minimum power required to fully charge the vehicle within the target charging time.

[0105] Specifically, the matching strategy between the dual-gun charging pile and the vehicle is determined according to the power allocation result of each vehicle and the minimum power required to fully charge the vehicle within the target charging time, including:

[0106] Based on the current combined vehicle charging unit, all available dual-gun charging piles that meet the preset conditions are identified, where the preset conditions are:

[0107] , ;

[0108] A dual-gun charging pile with the smallest total charging power is selected from all available dual-gun charging piles that meet preset conditions as a target charging pile for charging the current combined vehicle charging unit.

[0109] In this embodiment, for each combined vehicle charging unit, all available dual-gun charging piles are checked to see if they meet the preset conditions, that is, to ensure that the power allocated to each vehicle in the charging unit reaches the minimum power required by each vehicle. If both muzzles of a dual-gun charging pile meet the above conditions, the charging pile is considered to be suitable for the current combined vehicle charging unit. For example, within the agreed charging time range, there are exactly three idle charging piles: charging piles A, B, and C. Through calculation, it can be found that charging pile C cannot meet the above preset conditions, and only the allocated power of one of the vehicles can reach the required minimum power. Therefore, charging pile C cannot be used as the target charging pile first. When it is determined that both charging piles A and B can meet the conditions, charging piles with smaller total power, such as charging pile A, are preferentially selected. The advantage of this is that while ensuring that the charging needs of each vehicle in the current combined vehicle charging unit can be met, the charging pile with smaller total power is preferentially used to prevent the charging pile from being unable to meet the charging needs when the subsequent demand for electricity is too large.

[0110] Therefore, by selecting the dual-gun charging pile with the smallest total power, the use of charging pile resources can be optimized to the greatest extent to avoid waste. At the same time, it can ensure that each vehicle can complete charging within the target charging time and improve charging efficiency. By reasonably matching the charging pile strategy, it is ensured that all vehicles can get timely and effective charging services to improve user experience. At the same time, this strategy also helps to balance the load of each charging pile when multiple vehicles are charging at the same time, preventing some charging piles from being overused while others are idle. Through an efficient matching strategy, the user's waiting time is reduced and user satisfaction is improved. In addition, this method can flexibly adjust the weight ratio according to actual conditions to adapt to different charging needs and environmental changes.

[0111] In the above embodiments, the case where the current combined vehicle charging unit can be matched to the target charging pile is considered. In actual application, sometimes the vehicle requires too much power or the charging time is too short, and the problem of not being able to match a suitable charging pile usually occurs. Therefore, in order to meet the charging needs of the car owner, further adjustments need to be made to optimize the charging strategy.

[0112] In one embodiment, the method further comprises:

[0113] When the current combined vehicle charging unit cannot match the target charging pile, determining a first target vehicle with a later scheduled charging time in the current combined vehicle charging unit;

[0114] Identify the next queued vehicle adjacent to the first target vehicle in the queue sequence of all vehicles with scheduled charging times, and use the next queued vehicle to replace the first target vehicle to generate a new combined vehicle charging unit;

[0115] Power is allocated to the new combined vehicle charging unit until the preset conditions are met to match the corresponding available dual-gun charging pile.

[0116] In this embodiment, the following steps are specifically included:

[0117] 1) According to the vehicle information in the current combined vehicle charging unit, try to match a suitable dual-gun charging pile. If the current combined vehicle charging unit cannot match the target charging pile, that is, there is no charging pile that meets the preset conditions, go to the next step.

[0118] 2) In the current combined vehicle charging unit, the first target vehicle with a later scheduled charging time is identified. This is usually the one of the two vehicles with a later scheduled charging time.

[0119] 3) In the queue sequence of all vehicles with scheduled charging times, find the next queue vehicle that is adjacent to the first target vehicle. Here, "adjacent" refers to the vehicle that immediately follows the first target vehicle in the queue sequence.

[0120] 4) Use the next queued vehicle found to replace the first target vehicle and generate a new combined vehicle charging unit.

[0121] 5) Perform power allocation calculations on the newly generated combined vehicle charging unit, determine the minimum power requirement for each vehicle, and try again to match a suitable dual-gun charging pile.

[0122] 6) If the new combined vehicle charging unit can match a suitable dual-gun charging pile, the charging pile with the smallest total power is selected as the target charging pile according to the method of the above embodiment. For the first target vehicle that has been replaced, it is used as the starting point of the queue charging sequence, the queue list is updated again, and the charging unit is packaged from the current position. For example, there are four vehicles a, b, c, and d. The first packaging order is {a, b}, {c, d}. However, since the {a, b} unit cannot find a target charging pile that can charge these two vehicles at the same time, and since b's appointment time is later, b is taken as the first target vehicle, and c is taken as the next queue vehicle directly adjacent to b. At this time, the updated package group {a, c} re-matches {a, c} with charging piles and allocates power. After finding the target charging pile that meets the conditions, the queue sequence after updating the list is b, d... At this time, for b, first package b with a combined vehicle to obtain {b, d}, and then calculate the power allocation in the same way.

[0123] 7) If the new combined vehicle charging unit still cannot match the target charging pile, repeat steps 2 to 5 until a dual-gun charging pile that meets the conditions is found, that is, {a, c} of the updated packaging unit, but {a, c} still cannot find a suitable target charging pile. At this time, continue to postpone and calculate {a, d}, {a, e}... until the target charging pile can be found.

[0124] This embodiment increases the chance of finding qualified charging piles by dynamically adjusting the vehicle combination, improves the success rate of matching, ensures that the charging pile resources can be fully utilized, and avoids waste of resources due to an inappropriate single combination. By adjusting the vehicle combination in a timely manner, suitable charging piles can be found more quickly and the time vehicles wait for charging can be reduced. By adopting a dynamic adjustment strategy, user needs can be better met and user satisfaction with charging services can be improved. At the same time, the solution is highly flexible and can be continuously adjusted according to actual conditions to adapt to different charging needs and environmental changes. In this way, this embodiment can effectively solve the scheduling problem when the initial combination cannot match a suitable charging pile, ensuring the efficient operation and service quality of the charging station.

[0125] The above embodiments are mainly aimed at the scheduling problem of adjusting the combined vehicle charging unit to complete the matching of charging piles. In some cases, it may also be caused by the inability of the car owner to accurately estimate the charging time. For example, the vehicle cannot be charged to the required power in a short time, and the car owner requests a very short charging time. At this time, the problem of not being able to match the target charging pile will occur. Another case is that the car owner himself does not have much demand for the charging time. For example, 3 hours or 5 hours are both fine. The car owner cares more about which section can be charged at a cheaper electricity price. At this time, if the target charging time requested by the user is only based on a rough estimate, there will also be a problem that the requested target charging time is unreasonable and the target charging pile cannot be matched.

[0126] In order to solve the above problem, in one embodiment, a prompt mechanism is also provided to remind the user that the target charging time can be changed to find a matching target charging pile. Specifically, the method includes:

[0127] When the current combined vehicle charging unit cannot match the target charging pile, determining a second target vehicle with a shorter target charging time in the current combined vehicle charging unit;

[0128] Generate a prompt instruction to prompt the owner to extend the target charging time. When it is determined that the owner accepts the instruction, receive the extended target charging time to determine the new weight and power allocation scheme in the current combined vehicle charging unit, and determine whether there is a matching available dual-gun charging pile under the updated power allocation scheme;

[0129] When it is determined that the vehicle owner does not accept the instruction, the order of the vehicle owner in the queue sequence for booking charging time is adjusted, and the combined vehicle charging units are repackaged.

[0130] Specifically, this embodiment can be implemented through the following steps:

[0131] 1) Initial matching attempt: First, try to match a suitable dual-gun charging pile according to the vehicle information in the current combined vehicle charging unit. If the current combined vehicle charging unit cannot match the target charging pile, that is, there is no charging pile that meets the preset conditions, then go to the next step.

[0132] 2) Determine the second target vehicle: In the current combined vehicle charging unit, identify the second target vehicle with a shorter target charging time. This is usually the vehicle with the shorter target charging time of the two vehicles.

[0133] 3) Generate prompt instructions: Send a prompt instruction to the owner of the second target vehicle, asking him or her whether he or she is willing to extend the target charging time to match the available dual-gun charging pile. The prompt instruction should include the option of the extended target charging time and related instructions.

[0134] 4) Waiting for the owner’s response: Waiting for the owner to respond whether to accept the instruction to extend the target charging time. The owner can respond through the mobile phone application or other communication means.

[0135] 5) Process the owner's reply: If the owner accepts the instruction, the extended target charging time is received. The weight and power allocation scheme in the current combined vehicle charging unit are recalculated according to the new target charging time. Determine whether there is a matching available dual-gun charging pile under the updated power allocation scheme. If the owner does not accept the instruction, adjust the owner's order in the queue sequence for the scheduled charging time, repack the combined vehicle charging unit, and try to match the appropriate charging pile again.

[0136] Assume that there are four vehicles listed below, sorted by scheduled charging time:

[0137] Vehicle A, scheduled charging time: 13:00, target charging time: 30 minutes;

[0138] Vehicle B, scheduled charging time: 13:15, target charging time: 45 minutes;

[0139] Vehicle C, scheduled charging time: 13:30, target charging time: 60 minutes;

[0140] Vehicle D, scheduled charging time: 13:45, target charging time: 75 minutes;

[0141] Assuming that the initial combined vehicle charging unit is {A, B}, but for some reason it cannot match a suitable charging pile, the second target vehicle is determined to be A (the target charging time is 30 minutes). Send a prompt command to the owner of vehicle A, asking whether he is willing to extend the target charging time.

[0142] If the owner accepts the instruction, it is assumed that the owner agrees to extend the target charging time to 45 minutes. Recalculate the weight and power allocation scheme of the combined vehicle charging unit, and try to match a suitable dual-gun charging pile again. If the owner does not accept the instruction, adjust the queue order of vehicle A, for example, move it behind vehicle C. Repackage the combined vehicle charging unit, for example, into {B, C}, and try to match a suitable dual-gun charging pile again. The matching target charging pile and the power allocation calculation process can refer to the above content, which will not be further described here.

[0143] This embodiment increases the chance of finding a qualified charging pile by extending the target charging time, improves the success rate of matching, ensures that the charging pile resources can be fully utilized, avoids resource waste due to an unsuitable single combination, optimizes resource utilization, and dynamically adjusts strategies to better meet user needs, greatly improving user experience and enhancing the operation and management efficiency of charging piles.

[0144] In summary, the method for controlling the operation of a smart charging pile based on the Internet of Things provided by the embodiment of the present invention can at least achieve the following effects:

[0145] 1) The present invention calculates the minimum power required to fully charge each vehicle within the target charging time, and introduces the concept of weight and dynamic power allocation mechanism to achieve intelligent matching of available charging piles and precise allocation of charging power, thereby more reasonably determining the charging strategy, avoiding resource waste, optimizing the resource utilization of the charging piles, improving the overall operation and control efficiency of the charging piles, and enhancing the flexibility and adaptability of the charging pile system.

[0146] 2) The present invention can plan the charging plan in advance according to the owner's reservation information, reducing unnecessary waiting time. By rationally queuing and packaging the vehicles scheduled for charging to form multiple combined vehicle charging units, the charging process can be further optimized to ensure that each vehicle can complete charging within its expected time. In addition, when the owner's charging needs cannot be met, the present invention will promptly send a prompt instruction to remind the user to adjust the charging time or the charging sequence, thereby making the charging process more efficient and quick, greatly improving the user experience.

[0147] See also Figure 2 In one embodiment, the present invention further provides an intelligent charging pile operation control device based on the Internet of Things, the device comprising:

[0148] The combined unit packaging module 100 is used to respond to reservation requests from different vehicle owners, and to queue and package two adjacent vehicles according to the queue sequence of the vehicle reservation charging time to generate multiple combined vehicle charging units;

[0149] The minimum power calculation module 200 is used to obtain the required power, target charging time and charging efficiency of each vehicle based on the combined vehicle charging unit, so as to calculate the minimum power required to fully charge each vehicle within the target charging time:

[0150] ;

[0151] ;

[0152] In the formula, , Indicates The minimum power required for the first and second vehicles in a combined vehicle charging unit to be fully charged within the target charging time. , , They respectively represent the required power, target charging time and charging efficiency of the first vehicle; , , They respectively represent the required power, target charging time and charging efficiency of the second vehicle;

[0153] The vehicle weight determination module 300 is used to determine the weight of each vehicle according to the target charging time and the required power:

[0154] ;

[0155] ;

[0156] In the formula, , Indicates The weights of the first and second vehicles in a combined vehicle charging unit; is the proportional adjustment factor, satisfying ;

[0157] The vehicle power allocation module 400 is used to obtain the total power of each dual-gun charging pile among the available dual-gun charging piles, and allocate power to each vehicle according to the weight of each vehicle in the corresponding combined vehicle charging unit:

[0158] ;

[0159] ;

[0160] In the formula, Indicates The total power of a dual-gun charging pile, , Indicates The double-gun charging station is the The power allocated to the first and second vehicles in a combined vehicle charging unit;

[0161] The matching strategy determination module 500 is used to determine the matching strategy between the dual-gun charging pile and the vehicle according to the power allocation result of each vehicle and the minimum power required to fully charge the required power within the target charging time.

[0162] In one embodiment, the matching strategy determination module 500 is further configured to:

[0163] Based on the current combined vehicle charging unit, all available dual-gun charging piles that meet the preset conditions are identified, where the preset conditions are:

[0164] , ;

[0165] A dual-gun charging pile with the smallest total charging power is selected from all available dual-gun charging piles that meet preset conditions as a target charging pile for charging the current combined vehicle charging unit.

[0166] In one embodiment, the matching strategy determination module 500 is further configured to:

[0167] When the current combined vehicle charging unit cannot match the target charging pile, determining a first target vehicle with a later scheduled charging time in the current combined vehicle charging unit;

[0168] Identify the next queued vehicle adjacent to the first target vehicle in the queue sequence of all vehicles with scheduled charging times, and use the next queued vehicle to replace the first target vehicle to generate a new combined vehicle charging unit;

[0169] Power is allocated to the new combined vehicle charging unit until the preset conditions are met to match the corresponding available dual-gun charging pile.

[0170] In one embodiment, the matching strategy determination module 500 is further configured to:

[0171] When the current combined vehicle charging unit cannot match the target charging pile, determining a second target vehicle with a shorter target charging time in the current combined vehicle charging unit;

[0172] Generate a prompt instruction to prompt the owner to extend the target charging time. When it is determined that the owner accepts the instruction, receive the extended target charging time to determine the new weight and power allocation scheme in the current combined vehicle charging unit, and determine whether there is a matching available dual-gun charging pile under the updated power allocation scheme;

[0173] When it is determined that the vehicle owner does not accept the instruction, the order of the vehicle owner in the queue sequence for booking charging time is adjusted, and the combined vehicle charging units are repackaged.

[0174] It can be understood that the functions or modules included in the IoT-based smart charging pile operation control device provided in this embodiment can be used to execute the method described in the above method embodiment. Its specific implementation can refer to the description of the above method embodiment. For the sake of brevity, it will not be repeated here.

[0175] The present invention also provides an electronic device, including a processor and a memory, wherein the memory is used to store computer program code, and the computer program code includes computer instructions. When the processor executes the computer instructions, the electronic device executes any one of the above-mentioned possible implementation methods.

[0176] The present invention also provides a computer-readable storage medium, in which a computer program is stored. The computer program includes program instructions. When the program instructions are executed by a processor of an electronic device, the processor executes a method as described in any possible implementation manner.

[0177] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.

[0178] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments, and will not be repeated here. Those skilled in the art can also clearly understand that the descriptions of the various embodiments of the present invention have different focuses. For the convenience and brevity of description, the same or similar parts may not be repeated in different embodiments. Therefore, for parts not described or not described in detail in a certain embodiment, refer to the records of other embodiments.

Claims

1. A method for controlling the operation of an intelligent charging pile based on the Internet of Things, characterized in that: The method comprises: In response to reservation requests from different car owners, adjacent vehicles are queued and packaged according to the queue sequence of vehicle reservation charging time to generate multiple combined vehicle charging units; Based on the combined vehicle charging unit, the required power, target charging time and charging efficiency of each vehicle are obtained to calculate the minimum power required for each vehicle to be fully charged within the target charging time: ； ； In the formula, , Respectively represent The minimum power required for the first and second vehicles in a combined vehicle charging unit to be fully charged within the target charging time. , , Respectively represent The required power, target charging time and charging efficiency of the first vehicle in a combined vehicle charging unit; , , Respectively represent The required power, target charging time and charging efficiency of the second vehicle in the combined vehicle charging unit; Determine the weight of each vehicle based on the target charging time and required power: ； ； In the formula, , Respectively represent The weights of the first and second vehicles in a combined vehicle charging unit; is the proportional adjustment factor, satisfying ; Get the total power of each dual-gun charging pile among the available dual-gun charging piles, and allocate power to each vehicle according to the weight of each vehicle in the corresponding combined vehicle charging unit: ； ； In the formula, Indicates The total power of a dual-gun charging pile, , Respectively represent The double-gun charging station is the The power allocated to the first and second vehicles in a combined vehicle charging unit; The matching strategy between the dual-gun charging pile and the vehicle is determined based on the power allocation results of each vehicle and the minimum power required to fully charge the vehicle within the target charging time.

2. The method for controlling the operation of an intelligent charging pile based on the Internet of Things according to claim 1, characterized in that: The matching strategy between the dual-gun charging pile and the vehicle is determined based on the power allocation result of each vehicle and the minimum power required to fully charge the vehicle within the target charging time, including: Based on the current combined vehicle charging unit, all available dual-gun charging piles that meet the preset conditions are identified, where the preset conditions are: ， ； A dual-gun charging pile with the smallest total charging power is selected from all available dual-gun charging piles that meet preset conditions as the target charging pile for charging the current combined vehicle charging unit.

3. The method for controlling the operation of an intelligent charging pile based on the Internet of Things according to claim 2 is characterized in that: The method further comprises: When the current combined vehicle charging unit cannot match the target charging pile, determining a first target vehicle with a later scheduled charging time in the current combined vehicle charging unit; Identify the next queued vehicle adjacent to the first target vehicle in the queue sequence of all vehicles with scheduled charging times, and use the next queued vehicle to replace the first target vehicle to generate a new combined vehicle charging unit; Power is allocated to the new combined vehicle charging unit until the preset conditions are met to match the corresponding available dual-gun charging pile.

4. The method for controlling the operation of an intelligent charging pile based on the Internet of Things according to claim 2, characterized in that: The method further comprises: When the current combined vehicle charging unit cannot match the target charging pile, determining a second target vehicle with a shorter target charging time in the current combined vehicle charging unit; Generate a prompt instruction to prompt the owner to extend the target charging time. When it is determined that the owner accepts the instruction, receive the extended target charging time to determine the new weight and power allocation scheme in the current combined vehicle charging unit, and determine whether there is a matching available dual-gun charging pile under the updated power allocation scheme; When it is determined that the vehicle owner does not accept the instruction, the order of the vehicle owner in the queue sequence for booking charging time is adjusted, and the combined vehicle charging units are repackaged.

5. An intelligent charging pile operation control device based on the Internet of Things, characterized in that: The device comprises: The combined unit packaging module is used to respond to reservation requests from different car owners, and to queue and package two adjacent vehicles according to the queue sequence of the vehicle reservation charging time to generate multiple combined vehicle charging units; The minimum power calculation module is used to obtain the required power, target charging time and charging efficiency of each vehicle based on the combined vehicle charging unit, so as to calculate the minimum power required to fully charge each vehicle within the target charging time: ； ； In the formula, , Respectively represent The minimum power required for the first and second vehicles in a combined vehicle charging unit to be fully charged within the target charging time. , , Respectively represent The required power, target charging time and charging efficiency of the first vehicle in a combined vehicle charging unit; , , Respectively represent The required power, target charging time and charging efficiency of the second vehicle in the combined vehicle charging unit; The vehicle weight determination module is used to determine the weight of each vehicle based on the target charging time and the required power: ； ； In the formula, , Respectively represent The weights of the first and second vehicles in a combined vehicle charging unit; is the proportional adjustment factor, satisfying ; The vehicle power allocation module is used to obtain the total power of each dual-gun charging pile among the available dual-gun charging piles, and allocate power to each vehicle according to the weight of each vehicle in the corresponding combined vehicle charging unit: ； ； In the formula, Indicates The total power of a dual-gun charging pile, , Respectively represent The double-gun charging station is the The power allocated to the first and second vehicles in a combined vehicle charging unit; The matching strategy determination module is used to determine the matching strategy between the dual-gun charging pile and the vehicle based on the power allocation result of each vehicle and the minimum power required to fully charge the required power within the target charging time.

6. The operation control device of the intelligent charging pile based on the Internet of Things according to claim 5 is characterized in that: The matching strategy determination module is further used for: Based on the current combined vehicle charging unit, all available dual-gun charging piles that meet the preset conditions are identified, where the preset conditions are: ， ； A dual-gun charging pile with the smallest total charging power is selected from all available dual-gun charging piles that meet preset conditions as the target charging pile for charging the current combined vehicle charging unit.

7. The operation control device of the intelligent charging pile based on the Internet of Things according to claim 6 is characterized in that: The matching strategy determination module is further used for: When the current combined vehicle charging unit cannot match the target charging pile, determining a first target vehicle with a later scheduled charging time in the current combined vehicle charging unit; Identify the next queued vehicle adjacent to the first target vehicle in the queue sequence of all vehicles with scheduled charging times, and use the next queued vehicle to replace the first target vehicle to generate a new combined vehicle charging unit; Power is allocated to the new combined vehicle charging unit until the preset conditions are met to match the corresponding available dual-gun charging pile.

8. The IoT-based intelligent charging pile operation control device according to claim 6, characterized in that: The matching strategy determination module is further used for: When the current combined vehicle charging unit cannot match the target charging pile, determining a second target vehicle with a shorter target charging time in the current combined vehicle charging unit; Generate a prompt instruction to prompt the owner to extend the target charging time. When it is determined that the owner accepts the instruction, receive the extended target charging time to determine the new weight and power allocation scheme in the current combined vehicle charging unit, and determine whether there is a matching available dual-gun charging pile under the updated power allocation scheme; When it is determined that the vehicle owner does not accept the instruction, the order of the vehicle owner in the queue sequence for booking charging time is adjusted, and the combined vehicle charging units are repackaged.

9. An electronic device, characterized in that: include: A processor and a memory, the memory being used to store computer program code, the computer program code comprising computer instructions, and when the processor executes the computer instructions, the electronic device executes the method for operating and controlling a smart charging pile based on the Internet of Things as described in any one of claims 1 to 4.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, which includes program instructions. When the program instructions are executed by a processor of an electronic device, the processor executes the method for operating and controlling a smart charging pile based on the Internet of Things as described in any one of claims 1 to 4.

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