A smart protection system and method for DC charging piles based on new energy vehicles

Abstract

This invention relates to the field of new energy vehicle technology, specifically to an intelligent protection system and method for DC charging piles based on new energy vehicles, comprising: a monitoring layer, an analysis layer, and a recommendation layer; historical operating parameters of the charging pile are uploaded through the monitoring layer, which monitors the current operating parameters of the charging pile in real time, distinguishes and stores the historical and current operating parameters of the charging pile, and identifies the differences between the two sets of stored parameters. This invention identifies the busy level of the charging pile by combining and analyzing the historical and current operating parameters of the charging pile, and then, based on the busy level of the charging pile, provides the vehicle with recommended charging piles and charging routes when the vehicle enters the charging site, thereby providing a certain guidance effect for the charging piles in the charging site, and mainly solves the problem of uneven usage frequency of charging piles, avoiding the situation where some charging piles are used with extremely high or low frequencies.

Description

Technical Field

[0001] This invention relates to the field of new energy vehicle technology, and specifically to an intelligent protection system and method for DC charging piles based on new energy vehicles. Background Technology

[0002] A DC charging station is a charging device that provides DC power to electric vehicles. It is generally connected to the AC power grid and can serve as a power supplement for non-vehicle electric vehicles. It can output DC power with continuously adjustable voltage and current to meet the requirements of fast charging.

[0003] Patent application number 201710634303.2 discloses an intelligent charging system for DC charging piles, characterized by comprising: a main control chip, a card reader, a DC insulation detection module, a human-machine interaction module, a signal conversion module, a DC charging gun, a current transformer, a surge protector, a charging module, a fast-acting fuse, a DC contactor, a DC current shunt, an aluminum-cased resistor, a miniature circuit breaker QF11, intermediate relays KM2, KM3, KM5, KM6, K7, and KM8, a first switching power supply, and a second switching power supply; wherein the intermediate relays KM2 and KM3... Intermediate relays KM5, KM6, KM7, and KM8 are connected to the main control chip. The main control chip is connected to the card reader via an RS232 serial port, to the insulation detection module, human-machine interface module, and signal conversion module via an RS485 serial port, and to the vehicle battery management system via a CAN communication port. The main control chip is also connected to an external network. The signal conversion module is connected to the charging module via a CAN communication port. The current transformer is connected to the external power grid and is also connected to a three-phase four-wire smart energy meter. A surge protector is also connected between the current transformer and the external power grid.

[0004] The application aims to address the following issues: "Existing electric vehicle charging station systems are simple in structure and have low levels of intelligence. On the one hand, they cannot intelligently detect the power connection status when electric vehicles begin charging, causing some users to waste time and resources without their knowledge. On the other hand, during the charging process, power supply failures such as overvoltage, undervoltage, or overcurrent can affect the lifespan of the electric vehicle's power supply. Furthermore, when a charging station malfunctions and cannot be used, it requires regular manual inspection and control by management personnel, which directly results in the charging station being unable to supply power normally during this period, affecting the user's experience."

[0005] However, while the technology for fault maintenance of DC charging piles in daily operation has gradually become more complete, the different distribution locations of DC charging piles in the charging field lead to a higher preference for charging piles in certain or local areas when choosing charging piles. This results in a significant difference in the usage frequency of each charging pile, which in turn affects the lifespan and failure rate of each charging pile in the charging field.

[0006] To this end, we propose an intelligent protection system and method for DC charging piles based on new energy vehicles. Summary of the Invention

[0007] In view of the above-mentioned shortcomings of the existing technology, the present invention provides an intelligent protection system and method for DC charging piles based on new energy vehicles, which solves the technical problems mentioned in the background.

[0008] To achieve the above objectives, the present invention provides the following technical solution:

[0009] Firstly, an intelligent protection system for DC charging piles based on new energy vehicles includes: a monitoring layer, an analysis layer, and a recommendation layer;

[0010] Historical operating parameters of charging piles are uploaded through the monitoring layer. The monitoring layer monitors the current operating parameters of charging piles in real time, distinguishes and stores the historical and current operating parameters of charging piles, and identifies the differences between the two sets of stored parameters. The analysis layer synchronously receives the historical and current operating parameters of charging piles stored in the monitoring layer, analyzes the historical and current operating busy levels of charging piles, and the recommendation layer further receives the charging pile busy level analysis results, constructs the charging pile distribution and path topology, and provides the recommended charging piles and corresponding charging pile arrival paths to the car owners when the entrance gate of the charging pile deployment area allows vehicles to enter.

[0011] The analysis layer includes a receiving module, an analysis module, and a weighting module. The receiving module receives historical and current operating parameters of the charging piles stored in the monitoring storage. The analysis module iterates through the historical and current operating parameters of the charging piles received in the receiving module and analyzes the historical and current operating busy levels of the charging piles based on the historical and current operating parameters. The weighting module receives the historical and current operating busy levels of the charging piles analyzed in the analysis module and outputs the operating busy level of the charging piles by weighting the historical and current operating busy levels.

[0012] The analysis logic for the historical and current operational busyness of charging piles in the analysis module is expressed as follows:

[0013]

[0014] In the formula, OCC(α) represents the operational busyness level of charging pile α; u represents the total amount of charging tasks performed by the charging pile; T v The runtime of the v-th charging task; P v θ(v,v+1) represents the charging amount for the v-th charging task; θ(v,v+1) represents the voltage fluctuation value in the voltage fluctuation spectrum between the v-th and v+1-th charging tasks; δ is a constant; U c For the voltage monitored in group c during the v-th charging task; U c+1 For the (c+1)th monitoring voltage in the v-th charging task; U y For the (v+1)th charging task, monitor the voltage of the y-th group; U y+1 For the (v+1)th charging task, monitor the voltage of the (y+1)th group.

[0015] in, Table Find the mean. Table Find the mean. Table The higher the average value of the charging pile α's operational busyness OCC(α), the busier the charging pile α is, and vice versa. Based on the above logic, the historical operational busyness and current operational busyness of each charging pile are calculated.

[0016] Furthermore, the monitoring layer includes an upload module, an acquisition module, and a storage module. The upload module is used to upload historical operating parameters of the charging pile, the acquisition module is used to acquire current operating parameters of the charging pile in real time, and the storage module is used to receive the historical operating parameters of the charging pile uploaded by the upload module and the current operating parameters of the charging pile acquired in real time by the acquisition module, and to distinguish and store the historical operating parameters and the current operating parameters of the charging pile.

[0017] The charging pile operation parameters include: the number of charging tasks executed, the charging duration of each charging task, the charging amount of each charging task, and the voltage fluctuation spectrum of each charging task. The historical operation parameters of the charging pile uploaded in the upload module are the operation parameters generated within the time threshold of 00:00:00 to 23:59:59 on the day before the system operation phase. The current operation parameters of the charging pile collected in the acquisition module are the current operation parameters of the charging pile up to the acquisition module phase on the same day of the system operation phase.

[0018] Furthermore, the data acquisition module operates synchronously with the entrance gate of the charging pile deployment area. The data acquisition module runs once each time the entrance gate of the charging pile deployment area allows a vehicle to pass.

[0019] The charging piles are set in several groups, and the corresponding operating parameters of the charging piles in several groups are marked with the charging pile number. The monitoring layer is set with an operating reset cycle of 24 hours. Before the end of each operating reset cycle, the difference between the historical operating parameters and the current operating parameters of the charging pile is identified once. Based on the difference identification results, a decision is made on whether to back up the current operating parameters of the charging pile stored in the interval where the current operating parameters of the charging pile are stored in the storage module.

[0020] If the decision result is yes, the current operating parameters of the charging pile stored in the interval of the storage module that stores the current operating parameters of the charging pile will be backed up. After the monitoring layer is reset, the backed-up current operating parameters of the charging pile will be placed in the interval of the storage module that originally stores the historical operating parameters of the charging pile. If the decision result is no, the interval of the storage module that stores the historical operating parameters of the charging pile will be excluded from the monitoring layer reset operation.

[0021] Furthermore, the logic for identifying the differences between the historical and current operating parameters of the charging pile is expressed as follows:

[0022]

[0023] In the formula: DIFF(h,c) represents the difference between the historical operating parameters and the current operating parameters of the charging pile; q h The number of times the charging task was executed in the historical operating parameters of the charging pile; q c The number of times the charging task is executed in the current operating parameters of the charging pile; t c The timestamp for the differential identification phase is up to 00:00:00 on the same day; m h This refers to the cumulative charging amount of charging tasks in the historical operating parameters of the charging pile; T h Accumulates the charging time for charging tasks from the historical operating parameters of the charging pile; m c This refers to the cumulative charging amount for the charging task in the current operating parameters of the charging pile; T c Accumulates the charging time for charging tasks in the current operating parameters of the charging pile; sim(f h ,f c ) represents the comprehensive similarity of the voltage fluctuation spectrum of each charging task corresponding to the historical operating parameters and current operating parameters of the charging pile; γ is the adjustment coefficient;

[0024] Wherein, the adjustment coefficient γ∈[1,2), if the difference between the historical operating parameters and the current operating parameters of the charging pile DIFF(h,c)≤5%, the decision result is no; if the difference between the historical operating parameters and the current operating parameters of the charging pile DIFF(h,c)>5%, the decision result is yes.

[0025] Furthermore, the comprehensive similarity sim(f) between the historical operating parameters and current operating parameters of the charging pile for each charging task is calculated. h ,f c The answer is obtained using the following formula:

[0026]

[0027] Where: n h This is a collection of voltage fluctuation spectra from the historical operating parameters of charging piles; n c This is the set of voltage fluctuation spectra in the current operating parameters of the charging pile; U(MAX) i U(MAX) represents the maximum voltage value in the i-th voltage fluctuation spectrum. j U(MIN) represents the maximum voltage value in the j-th voltage fluctuation spectrum. i U(MIN) represents the minimum voltage value in the i-th voltage fluctuation spectrum. j The minimum voltage value in the j-th group of voltage fluctuation spectrum; The average voltage value in the i-th group of voltage fluctuation spectrum; Let be the average voltage value in the voltage fluctuation spectrum of the j-th group; ε is the correction value;

[0028] The correction ε is either 1 or -1. In the fraction containing the correction ε, if the numerator is less than or equal to the denominator, the correction ε is 1; if the numerator is greater than the denominator, the correction ε is -1. The voltage fluctuation spectrum corresponds to each completed and ongoing charging task in the historical and current operating parameters of the charging pile.

[0029] Furthermore, during the operation of the weighted module, the weighted output result for the operational busyness of the charging pile is as follows:

[0030] OCC(α)′=OCC(α) h ×ω1+OCC(α) c ×ω2;

[0031] In the formula: OCC(α)′ represents the operational busyness level of the charging station; OCC(α) h Historical operational activity level of the charging station; OCC(α) c The current operational busyness level of the charging pile; ω1 and ω2 are the weights.

[0032] The sum of weights ω1 and ω2 is 1, and the values ​​of weights ω1 and ω2 are user-defined by the system side. ω1 is always less than ω2, and the initial default values ​​of weights ω1 and ω2 are 0.4 and 0.6, respectively.

[0033] Furthermore, the recommendation layer includes a construction module, a selection module, and an interaction module. The construction module is used to upload charging pile location information and road location information within the charging pile distribution area, and to construct a charging pile distribution and path topology based on the charging pile location information and road location information within the charging pile deployment area. The selection module is used to select a charging pile as the recommended charging pile for the vehicle currently allowed to pass through the gate. The interaction module is used to receive the charging pile distribution and path topology from the construction module and the charging pile selected from the selection module, extract the path from the entrance gate of the charging pile deployment area to the selected charging pile from the charging pile distribution and path topology, and feed back the extracted path to the vehicle owner of the vehicle allowed to pass through the gate.

[0034] In the construction module, when building the charging pile distribution and path topology, the road location information within the charging pile deployment area is interconnected to construct a road topology representing the charging pile deployment area. The charging piles are further represented by specified shape blocks. Then, based on the charging pile location information, the blocks representing the charging piles are placed into the road topology within the charging pile deployment area to obtain the charging pile distribution and path topology. The blocks representing the charging piles in the charging pile distribution and path topology are rendered using two different colors to distinguish between occupied and idle charging piles. The charging pile distribution and path topology refreshes the rendering colors of the blocks representing the charging piles in the charging pile distribution and path topology based on a set refresh frequency.

[0035] Furthermore, when selecting a charging pile, the selection module traverses the rendering colors of each tile representing a charging pile in the charging pile distribution and path topology, and selects the charging pile with the lowest level of busyness among the charging piles corresponding to the tile with the rendering color indicating idleness as the selection target.

[0036] After the selection module selects a charging pile, the interaction module further determines the corresponding block in the charging pile distribution and path topology, extracts the path from the entrance gate of any charging pile deployment area to the corresponding block of the selected charging pile, and provides feedback to the vehicle owner who allows the vehicle to pass through the gate.

[0037] The interactive module extracts the path, i.e. the path to the charging station. When providing feedback to the vehicle owner who is releasing the vehicle at the gate, the vehicle's central control display screen or the vehicle owner's mobile computer device is used as the feedback target. The vehicle owner reads the path on the vehicle's central control display screen or mobile computer device.

[0038] Furthermore, the receiving module is interconnected with an analysis module and a weighting module via a wireless network; the weighting module is interconnected with a storage module via a wireless network; the storage module is interconnected with a data acquisition module and an upload module via a wireless network; the receiving module is interconnected with a construction module via a wireless network; and the construction module is interconnected with a selection module and an interaction module via a wireless network.

[0039] Secondly, a smart protection method for DC charging piles based on new energy vehicles includes the following steps:

[0040] Step 1: Upload historical operating parameters of the charging pile, collect current operating parameters of the charging pile in real time, and analyze the differences between historical and current operating parameters of the charging pile;

[0041] Step 11: Setting and applying the logic for analyzing the differences between historical and current operating parameters of charging piles;

[0042] Step 2: Store the historical and current operating parameters of the charging pile, and decide on the iteration of the stored operating parameters based on the differences between the historical and current operating parameters.

[0043] Step 21: Setting and applying the iterative operation decision logic of the stored historical and current operating parameters of the charging pile;

[0044] Step 3: Set up the charging pile operation busyness analysis logic, and analyze the historical operation busyness and current operation busyness of the charging pile based on the analysis logic;

[0045] Step 4: Obtain the historical and current operational busyness analysis results of the charging piles, and output the operational busyness of the charging piles by weighting the two sets of analysis results;

[0046] Step 41: Setting and applying the weighted output logic;

[0047] Step 5: Construct the charging pile distribution and path topology, and provide recommended charging piles for vehicles entering the entrance gate of the charging pile deployment area based on the charging pile operation level;

[0048] Step 51: Setting and applying the recommended charging station selection logic;

[0049] Step 6: Extract the arrival path corresponding to the recommended charging station from the charging station distribution and path topology, and send the arrival path and recommended charging station together to the car owner.

[0050] Compared with known public technologies, the technical solution provided by this invention has the following advantages:

[0051] Beneficial effects:

[0052] This invention provides an intelligent protection system and method for DC charging piles based on new energy vehicles. During operation, the system analyzes historical and current operating parameters of the charging piles to identify their busy levels. Based on these busy levels, it provides recommended charging piles and charging routes to vehicles entering the charging area, thus guiding traffic to the charging piles within the charging area. This primarily addresses the problem of uneven charging pile usage frequency, preventing situations where some charging piles are used excessively frequently or infrequently. This provides a healthy usage protection effect for the charging piles. Furthermore, the execution of the steps in this method provides operational logic support for the system, ensuring the stable application of the technical solution comprised of this system and method, serving the daily use and protection of charging piles. Attached Figure Description

[0053] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the accompanying drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are merely some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without any creative effort.

[0054] Figure 1 This is a schematic diagram of the structure of an intelligent protection system for DC charging piles based on new energy vehicles.

[0055] Figure 2 This is a flowchart illustrating a smart protection method for DC charging piles based on new energy vehicles.

[0056] Figure 3 This is a schematic diagram representing the charging pile blocks in the charging pile distribution and path topology of this invention;

[0057] Figure 4 This is a schematic diagram of the road topology within the charging pile deployment area in the charging pile distribution and path topology of this invention. Detailed Implementation

[0058] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative effort are within the scope of protection of the present invention.

[0059] The present invention will be further described below with reference to embodiments.

[0060] Example 1:

[0061] This embodiment presents an intelligent protection system for DC charging piles based on new energy vehicles, such as... Figure 1 As shown, it includes: a monitoring layer, an analysis layer, and a recommendation layer;

[0062] Historical operating parameters of charging piles are uploaded through the monitoring layer. The monitoring layer monitors the current operating parameters of charging piles in real time, distinguishes and stores the historical and current operating parameters of charging piles, and identifies the differences between the two sets of stored parameters. The analysis layer synchronously receives the historical and current operating parameters of charging piles stored in the monitoring layer, analyzes the historical and current operating busy levels of charging piles, and the recommendation layer further receives the charging pile busy level analysis results, constructs the charging pile distribution and path topology, and provides the recommended charging piles and corresponding charging pile arrival paths to the car owners when the entrance gate of the charging pile deployment area allows vehicles to enter.

[0063] The monitoring layer includes an upload module, a data acquisition module, and a storage module. The upload module is used to upload historical operating parameters of the charging pile, the data acquisition module is used to acquire current operating parameters of the charging pile in real time, and the storage module is used to receive the historical operating parameters of the charging pile uploaded by the upload module and the current operating parameters of the charging pile acquired in real time by the data acquisition module, and to distinguish and store the historical operating parameters and the current operating parameters of the charging pile.

[0064] The charging pile operation parameters include: the number of charging tasks executed, the charging duration of each charging task, the charging amount of each charging task, and the voltage fluctuation spectrum of each charging task. The historical operation parameters of the charging pile uploaded in the upload module are the operation parameters generated within the time threshold of 00:00:00 to 23:59:59 on the day before the system operation phase. The current operation parameters of the charging pile collected in the acquisition module are the current operation parameters of the charging pile up to the acquisition module phase on the same day of the system operation phase.

[0065] The analysis layer includes a receiving module, an analysis module, and a weighting module. The receiving module receives the historical and current operating parameters of the charging piles stored in the monitoring storage. The analysis module iterates through the historical and current operating parameters of the charging piles received by the receiving module and analyzes the historical and current operating busy levels of the charging piles based on the historical and current operating parameters. The weighting module receives the historical and current operating busy levels of the charging piles analyzed by the analysis module and outputs the operating busy level of the charging piles by weighting the historical and current operating busy levels.

[0066] The analysis logic for the historical and current operational busyness of charging piles in the analysis module is expressed as follows:

[0067]

[0068] In the formula, OCC(α) represents the operational busyness level of charging pile α; u represents the total amount of charging tasks performed by the charging pile; T v The runtime of the v-th charging task; P v θ(v,v+1) represents the charging amount for the v-th charging task; θ(v,v+1) represents the voltage fluctuation value in the voltage fluctuation spectrum between the v-th and v+1-th charging tasks; δ is a constant; U c For the voltage monitored in group c during the v-th charging task; U c+1 For the (c+1)th monitoring voltage in the v-th charging task; U y For the (v+1)th charging task, monitor the voltage of the y-th group; U y+1 For the (v+1)th charging task, monitor the voltage of the (y+1)th group.

[0069] in, Table Find the mean. Table Find the mean. Table The higher the average value of the OCC(α) of the charging pile α, the busier the charging pile α is, and vice versa. Based on the above logic, the historical operating busyness and current operating busyness of each charging pile are calculated.

[0070] The recommendation layer includes a construction module, a selection module, and an interaction module. The construction module is used to upload charging pile location information and road location information within the charging pile distribution area. Based on the charging pile location information and road location information within the charging pile deployment area, it constructs the charging pile distribution and path topology. The selection module is used to select charging piles as recommended charging piles for vehicles currently allowed to pass through the gate. The interaction module is used to receive the charging pile distribution and path topology from the construction module and the charging piles selected from the selection module. It extracts the path from the entrance gate of the charging pile deployment area to the selected charging pile from the charging pile distribution and path topology and feeds back the extracted path to the vehicle owner of the vehicle allowed to pass through the gate.

[0071] In the construction module, when building the charging pile distribution and path topology, the road location information within the charging pile deployment area is interconnected to construct a road topology representing the charging pile deployment area. The charging pile is further represented by a specified shape block. Then, based on the charging pile location information, the block representing the charging pile is placed into the road topology within the charging pile deployment area to obtain the charging pile distribution and path topology. The block representing the charging pile in the charging pile distribution and path topology is rendered based on two different colors to distinguish between occupied and idle charging piles. The charging pile distribution and path topology refreshes the rendering color of the block representing the charging pile in the charging pile distribution and path topology based on a set refresh frequency.

[0072] The receiving module is interconnected with the analysis module and the weighting module via a wireless network. The weighting module is interconnected with the storage module via a wireless network. The storage module is interconnected with the acquisition module and the upload module via a wireless network. The receiving module is interconnected with the construction module via a wireless network. The construction module is interconnected with the selection module and the interaction module via a wireless network.

[0073] In this embodiment, the upload module uploads historical operating parameters of the charging pile, the acquisition module synchronously acquires current operating parameters of the charging pile in real time, and the storage module subsequently receives the historical operating parameters uploaded by the upload module and the current operating parameters acquired in real time by the acquisition module. It then distinguishes and stores the historical and current operating parameters. The receiving module receives and monitors the stored historical and current operating parameters. The analysis module further iterates through the historical and current operating parameters received by the receiving module, analyzing the historical and current operating busy levels of the charging pile based on these parameters. The weighting module receives and analyzes the parameters in real time from the analysis module. The system calculates the historical and current charging pile busyness levels, outputs a weighted average of these levels, and then uploads charging pile location information and road location information within the charging pile distribution area via a construction module. Based on this information, it constructs a charging pile distribution and path topology. A selection module selects a charging pile as the recommended charging pile for vehicles currently allowed to pass through the gate. The interaction module ultimately receives the charging pile distribution and path topology from the construction module and the selected charging pile from the selection module. It then extracts the path from the entrance gate of the charging pile deployment area to the selected charging pile from the charging pile distribution and path topology and sends the extracted path back to the vehicle owner allowing the vehicle to pass through the gate.

[0074] Through the system operation in the above embodiments, the charging piles are brought to the intelligent protection effect of equalizing the usage frequency, ensuring that each charging pile in the charging field can serve charging vehicle owners more evenly.

[0075] See Figure 3 , Figure 4 As shown in the figure, this figure further illustrates the topology of the charging piles and the roads within the charging pile deployment area in the charging pile distribution and path topology. By placing the charging piles and the roads within the charging pile deployment area into the same axis network, the charging pile distribution and path topology are obtained.

[0076] It is important to note that Figure 3 In this context, the rendering state of the charging pile tiles is represented by whether they are filled or not, so as to better understand the distribution of charging piles and path topology referred to in the technical solutions of the above embodiments.

[0077] Example 2:

[0078] At the implementation level, based on Example 1, this example refers to... Figure 1 A further detailed description of the intelligent protection system for DC charging piles based on new energy vehicles in Example 1 is provided below:

[0079] The data acquisition module operates synchronously with the entrance gate of the charging pile deployment area. The data acquisition module runs once every time the entrance gate of the charging pile deployment area allows a vehicle to pass.

[0080] There are several groups of charging piles. The corresponding operating parameters of each group of charging piles are marked with the charging pile number. The monitoring layer is set with an operating reset cycle of 24 hours. Before the end of each operating reset cycle, the difference between the historical operating parameters and the current operating parameters of the charging pile is identified once. Based on the difference identification results, a decision is made on whether to back up the current operating parameters of the charging pile stored in the interval where the current operating parameters of the charging pile are stored in the storage module.

[0081] If the decision result is yes, the current operating parameters of the charging pile stored in the interval of the storage module that stores the current operating parameters of the charging pile will be backed up. After the monitoring layer is reset, the backed-up current operating parameters of the charging pile will be placed in the interval of the storage module that originally stores the historical operating parameters of the charging pile. If the decision result is no, the interval of the storage module that stores the historical operating parameters of the charging pile will be excluded from the monitoring layer reset operation.

[0082] The logic for identifying the differences between historical and current operating parameters of a charging pile is as follows:

[0083]

[0084] In the formula: DIFF(h,c) represents the difference between the historical operating parameters and the current operating parameters of the charging pile; q h The number of times the charging task was executed in the historical operating parameters of the charging pile; q c The number of times the charging task is executed in the current operating parameters of the charging pile; t c The timestamp for the differential identification phase is up to 00:00:00 on the same day; m h This refers to the cumulative charging amount of charging tasks in the historical operating parameters of the charging pile; T h Accumulates the charging time for charging tasks from the historical operating parameters of the charging pile; m c This refers to the cumulative charging amount for the charging task in the current operating parameters of the charging pile; T c Accumulates the charging time for charging tasks in the current operating parameters of the charging pile; sim(f h ,f c ) represents the comprehensive similarity of the voltage fluctuation spectrum of each charging task corresponding to the historical operating parameters and current operating parameters of the charging pile; γ is the adjustment coefficient;

[0085] Wherein, the adjustment coefficient γ∈[1,2), if the difference between the historical operating parameters and the current operating parameters of the charging pile DIFF(h,c)≤5%, the decision result is no; if the difference between the historical operating parameters and the current operating parameters of the charging pile DIFF(h,c)>5%, the decision result is yes.

[0086] The comprehensive similarity sim(f) between the voltage fluctuation spectrum of each charging task corresponding to the historical and current operating parameters of the charging pile. h ,f c The answer is obtained using the following formula:

[0087]

[0088] Where: n h This is a collection of voltage fluctuation spectra from the historical operating parameters of charging piles; n c This is the set of voltage fluctuation spectra in the current operating parameters of the charging pile; U(MAX) i U(MAX) represents the maximum voltage value in the i-th voltage fluctuation spectrum. j U(MIN) represents the maximum voltage value in the j-th voltage fluctuation spectrum. i U(MIN) represents the minimum voltage value in the i-th voltage fluctuation spectrum. j The minimum voltage value in the j-th group of voltage fluctuation spectrum; The average voltage value in the i-th group of voltage fluctuation spectrum; Let be the average voltage value in the voltage fluctuation spectrum of the j-th group; ε is the correction value;

[0089] The correction ε is either 1 or -1. In the fraction containing the correction ε, if the numerator is less than or equal to the denominator, the correction ε is 1; if the numerator is greater than the denominator, the correction ε is -1. The voltage fluctuation spectrum corresponds to each completed and ongoing charging task in the historical and current operating parameters of the charging pile.

[0090] In this embodiment, the differences between the historical and current operating parameters of the charging piles are identified through the above-mentioned logical formula, and the calculation method of the comprehensive similarity of the voltage fluctuation spectrum is assigned a specified logical formula to ensure that the historical and current operating parameters of the charging piles used in the system operation are stably and effectively updated.

[0091] like Figure 1 As shown, during the weighted module operation phase, the weighted output result for the operational busyness of the charging pile is as follows:

[0092] OCC(α)′=OCC(α) h ×ω1+OCC(α) c ×ω2;

[0093] In the formula: OCC(α)′ represents the operational busyness level of the charging station; OCC(α) h Historical operational activity level of the charging station; OCC(α) c The current operational busyness level of the charging pile; ω1 and ω2 are the weights.

[0094] The sum of weights ω1 and ω2 is 1, and the values ​​of weights ω1 and ω2 are user-defined by the system side. ω1 is always less than ω2, and the initial default values ​​of weights ω1 and ω2 are 0.4 and 0.6, respectively.

[0095] The above logical formula further defines the operating logic of the weighted module.

[0096] like Figure 1 As shown, when selecting a charging pile, the selection module traverses the rendering colors of each tile representing a charging pile in the charging pile distribution and path topology, and selects the charging pile with the lowest level of busyness among the charging piles corresponding to the tile with the rendering color indicating idleness.

[0097] After the selection module selects a charging pile, the interaction module further determines the corresponding block in the charging pile distribution and path topology, extracts the path from the entrance gate of any charging pile deployment area to the corresponding block of the selected charging pile, and provides feedback to the vehicle owner who allows the vehicle to pass through the gate.

[0098] The interactive module extracts the path, i.e. the path to the charging station. When providing feedback to the vehicle owner who is releasing the vehicle at the gate, the vehicle's central control display screen or the vehicle owner's mobile computer device is used as the feedback target. The vehicle owner reads the path on the vehicle's central control display screen or mobile computer device.

[0099] The above settings further provide operational logic and data support for the system's recommendation layer, ensuring that the system's recommendation layer stably outputs recommended charging stations and corresponding arrival routes.

[0100] Example 3:

[0101] At the implementation level, based on Example 1, this example refers to... Figure 2 A further detailed description of the intelligent protection system for DC charging piles based on new energy vehicles in Example 1 is provided below:

[0102] A smart protection method for DC charging piles based on new energy vehicles includes the following steps:

[0103] Step 1: Upload historical operating parameters of the charging pile, collect current operating parameters of the charging pile in real time, and analyze the differences between historical and current operating parameters of the charging pile;

[0104] Step 11: Setting and applying the logic for analyzing the differences between historical and current operating parameters of charging piles;

[0105] Step 2: Store the historical and current operating parameters of the charging pile, and decide on the iteration of the stored operating parameters based on the differences between the historical and current operating parameters.

[0106] Step 21: Setting and applying the iterative operation decision logic of the stored historical and current operating parameters of the charging pile;

[0107] Step 3: Set up the charging pile operation busyness analysis logic, and analyze the historical operation busyness and current operation busyness of the charging pile based on the analysis logic;

[0108] Step 4: Obtain the historical and current operational busyness analysis results of the charging piles, and output the operational busyness of the charging piles by weighting the two sets of analysis results;

[0109] Step 41: Setting and applying the weighted output logic;

[0110] Step 5: Construct the charging pile distribution and path topology, and provide recommended charging piles for vehicles entering the entrance gate of the charging pile deployment area based on the charging pile operation level;

[0111] Step 51: Setting and applying the recommended charging station selection logic;

[0112] Step 6: Extract the arrival path corresponding to the recommended charging station from the charging station distribution and path topology, and send the arrival path and recommended charging station together to the car owner.

[0113] In summary, the system in the above embodiments identifies the busy level of charging piles by combining and analyzing historical and current operating parameters. Based on the busy level, it provides recommended charging piles and charging routes to vehicles when they enter the charging area. This provides guidance for charging piles in the charging area and mainly solves the problem of uneven charging pile usage frequency, avoiding situations where some charging piles are used extremely frequently or infrequently. This provides a protective effect for the healthy use of charging piles. Furthermore, the execution of the steps in this method provides operational logic support for the system, ensuring the stable application of the technical solution composed of this system and method, and serving the daily use and protection of charging piles.

[0114] The above embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions will not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A smart protection system for DC charging piles based on new energy vehicles, characterized in that, include: Monitoring layer, analysis layer, and recommendation layer; Historical operating parameters of charging piles are uploaded through the monitoring layer. The monitoring layer monitors the current operating parameters of charging piles in real time, distinguishes and stores the historical and current operating parameters of charging piles, and identifies the differences between the two sets of stored parameters. The analysis layer synchronously receives the historical and current operating parameters of charging piles stored in the monitoring layer, analyzes the historical and current operating busy levels of charging piles, and the recommendation layer further receives the charging pile busy level analysis results, constructs the charging pile distribution and path topology, and provides the recommended charging piles and corresponding charging pile arrival paths to the car owners when the entrance gate of the charging pile deployment area allows vehicles to enter. The analysis layer includes a receiving module, an analysis module, and a weighting module. The receiving module receives the historical and current operating parameters of the charging piles stored in the monitoring layer. The analysis module iterates through the historical and current operating parameters of the charging piles received by the receiving module and analyzes the historical and current operating busy levels of the charging piles based on the historical and current operating parameters. The weighting module receives the historical and current operating busy levels of the charging piles analyzed by the analysis module and outputs the operating busy level of the charging piles by weighting the historical and current operating busy levels. The analysis logic for the historical and current operational busyness of charging piles in the analysis module is expressed as follows: ； In the formula, For charging piles The level of activity level; The total amount of charging tasks performed for charging stations; The runtime of the v-th charging task; The amount of charge for the v-th charging task; The voltage fluctuation values ​​in the voltage fluctuation spectrum during the v-th charging task and the (v+1)-th charging task; It is a constant; For the voltage monitoring group c in the v-th charging task; For the (c+1)th group of monitored voltages in the vth charging task; For the y-th monitoring voltage in the v+1th charging task; For the (v+1)th charging task, monitor the voltage of the (y+1)th group. in, Table Find the mean. Table Find the mean. Table The average value of charging piles Busyness level The higher the value, the better the charging station. The busier the charging station, the less busy it is. The less busy the charging pile is, the more it is calculated based on the above logic to determine the historical and current busyness levels of each charging pile.

2. The intelligent protection system for DC charging piles based on new energy vehicles according to claim 1, characterized in that, The monitoring layer includes an upload module, an acquisition module, and a storage module. The upload module is used to upload historical operating parameters of the charging pile, the acquisition module is used to acquire current operating parameters of the charging pile in real time, and the storage module is used to receive the historical operating parameters of the charging pile uploaded by the upload module and the current operating parameters of the charging pile acquired in real time by the acquisition module, and to distinguish and store the historical operating parameters and the current operating parameters of the charging pile. The charging pile operation parameters include: the number of charging tasks executed, the charging duration of each charging task, the charging amount of each charging task, and the voltage fluctuation spectrum of each charging task. The historical operation parameters of the charging pile uploaded in the upload module are the operation parameters generated within the time threshold of 00:00:00 to 23:59:59 on the day before the system operation phase. The current operation parameters of the charging pile collected in the acquisition module are the current operation parameters of the charging pile up to the acquisition module phase on the current day of the system operation phase.

3. The intelligent protection system for DC charging piles based on new energy vehicles according to claim 2, characterized in that, The data acquisition module operates synchronously with the entrance gate of the charging pile deployment area. The data acquisition module runs once every time the entrance gate of the charging pile deployment area allows a vehicle to pass. The charging piles are set in several groups, and the corresponding operating parameters of the charging piles in several groups are marked with the charging pile number. The monitoring layer is set with an operating reset cycle of 24 hours. Before the end of each operating reset cycle, the difference between the historical operating parameters and the current operating parameters of the charging pile is identified once. Based on the difference identification results, a decision is made on whether to back up the current operating parameters of the charging pile stored in the interval where the current operating parameters of the charging pile are stored in the storage module. If the decision result is yes, the current operating parameters of the charging pile stored in the interval of the storage module that stores the current operating parameters of the charging pile will be backed up. After the monitoring layer is reset, the backed-up current operating parameters of the charging pile will be placed in the interval of the storage module that originally stores the historical operating parameters of the charging pile. If the decision result is no, the interval of the storage module that stores the historical operating parameters of the charging pile will be excluded from the monitoring layer reset operation.

4. The intelligent protection system for DC charging piles based on new energy vehicles according to claim 3, characterized in that, The logic for identifying the difference between the historical and current operating parameters of the charging pile is expressed as follows: ； In the formula: The difference between the historical and current operating parameters of the charging pile; The number of times a charging task was executed based on the historical operating parameters of the charging pile; The number of times the charging task is executed based on the current operating parameters of the charging pile; The timestamp for the differential identification phase is up to 00:00:00 on the same day; This is the cumulative charging amount for charging tasks in the historical operating parameters of the charging pile. Accumulate the charging time for charging tasks in the historical operating parameters of the charging pile; This is the cumulative charging amount for the charging task in the current operating parameters of the charging pile; Accumulates the charging time for charging tasks in the current operating parameters of the charging pile; The comprehensive similarity of the voltage fluctuation spectrum of each charging task corresponding to the historical operating parameters and current operating parameters of the charging pile; For adjustment coefficients; Wherein, the adjustment coefficient ∈[1,2), the difference between historical and current operating parameters of charging piles If the percentage is ≤5%, the decision result is negative, considering the difference between the historical and current operating parameters of the charging pile. If the percentage is greater than 5%, then the decision result is yes.

5. The intelligent protection system for DC charging piles based on new energy vehicles according to claim 4, characterized in that, The comprehensive similarity of the voltage fluctuation spectrum of each charging task corresponding to the historical operating parameters and current operating parameters of the charging pile. The answer is obtained using the following formula: ； In the formula: This is a collection of voltage fluctuation spectra from the historical operating parameters of charging piles; This is a collection of voltage fluctuation spectra in the current operating parameters of the charging pile; The maximum voltage value in the i-th voltage fluctuation spectrum; The maximum voltage value in the voltage fluctuation spectrum of the j-th group; The minimum voltage value in the i-th group of voltage fluctuation spectrum; The minimum voltage value in the j-th group of voltage fluctuation spectrum; The average voltage value in the i-th group of voltage fluctuation spectrum; Let be the average voltage value in the voltage fluctuation spectrum of the j-th group; For correction; Among them, the correction The value is 1 or -1, and the correction is applied. In the given fraction, if the numerator is less than or equal to the denominator, then the correction is applied. If the value is 1, and the numerator is greater than the denominator, then a correction is made. The value is -1, and the voltage fluctuation spectrum corresponds to each completed and ongoing charging task in the historical and current operating parameters of the charging pile.

6. The intelligent protection system for DC charging piles based on new energy vehicles according to claim 1, characterized in that, During the operation of the weighted module, the weighted output result for the operational busyness of the charging pile is as follows: ； In the formula: The level of activity of the charging stations; Historical operational activity levels of charging stations; The current operational level of the charging station; , As weight; Among them, weight , The sum is 1, and the weights are... , The value is defined by the system user, and Always less than Weight , The initial default settings are 0.4 and 0.

6.

7. The intelligent protection system for DC charging piles based on new energy vehicles according to claim 1, characterized in that, The recommendation layer includes a construction module, a selection module, and an interaction module. The construction module is used to upload charging pile location information and road location information within the charging pile distribution area, and to construct a charging pile distribution and path topology based on the charging pile location information and road location information within the charging pile deployment area. The selection module is used to select a charging pile as the recommended charging pile for the vehicle currently allowed to pass through the gate. The interaction module is used to receive the charging pile distribution and path topology from the construction module and the charging pile selected from the selection module, extract the path from the entrance gate of the charging pile deployment area to the selected charging pile from the charging pile distribution and path topology, and feed back the extracted path to the vehicle owner of the vehicle allowed to pass through the gate. In the construction module, when building the charging pile distribution and path topology, the road location information within the charging pile deployment area is interconnected to construct a road topology representing the charging pile deployment area. The charging piles are further represented by specified shape blocks. Then, based on the charging pile location information, the blocks representing the charging piles are placed into the road topology within the charging pile deployment area to obtain the charging pile distribution and path topology. The blocks representing the charging piles in the charging pile distribution and path topology are rendered using two different colors to distinguish between occupied and idle charging piles. The charging pile distribution and path topology refreshes the rendering colors of the blocks representing the charging piles in the charging pile distribution and path topology based on a set refresh frequency.

8. The intelligent protection system for DC charging piles based on new energy vehicles according to claim 7, characterized in that, When selecting a charging pile, the selection module traverses the rendering colors of each tile representing a charging pile in the charging pile distribution and path topology, and selects the charging pile with the lowest level of busyness among the charging piles corresponding to the tile with the rendering color indicating idleness. After the selection module selects a charging pile, the interaction module further determines the corresponding block in the charging pile distribution and path topology, extracts the path from the entrance gate of any charging pile deployment area to the corresponding block of the selected charging pile, and provides feedback to the vehicle owner who allows the vehicle to pass through the gate. The interactive module extracts the path, i.e. the path to the charging station. When providing feedback to the vehicle owner who is releasing the vehicle at the gate, the vehicle's central control display screen or the vehicle owner's mobile computer device is used as the feedback target. The vehicle owner reads the path on the vehicle's central control display screen or mobile computer device.

9. The intelligent protection system for DC charging piles based on new energy vehicles according to claim 1, characterized in that, The receiving module is interconnected with an analysis module and a weighting module via a wireless network. The weighting module is interconnected with a storage module via a wireless network. The storage module is interconnected with a collection module and an upload module via a wireless network. The receiving module is interconnected with a construction module via a wireless network. The construction module is interconnected with a selection module and an interaction module via a wireless network.

10. A method for intelligent protection of DC charging piles based on new energy vehicles, wherein the method is an implementation method of the intelligent protection system for DC charging piles based on new energy vehicles as described in any one of claims 1-9, characterized in that, Includes the following steps: Step 1: Upload historical operating parameters of the charging pile, collect current operating parameters of the charging pile in real time, and analyze the differences between historical and current operating parameters of the charging pile; Step 11: Setting and applying the logic for analyzing the differences between historical and current operating parameters of charging piles; Step 2: Store the historical and current operating parameters of the charging pile, and decide on the iteration of the stored operating parameters based on the differences between the historical and current operating parameters. Step 21: Setting and applying the iterative operation decision logic of the stored historical and current operating parameters of the charging pile; Step 3: Set up the charging pile operation busyness analysis logic, and analyze the historical operation busyness and current operation busyness of the charging pile based on the analysis logic; Step 4: Obtain the historical and current operational busyness analysis results of the charging piles, and output the operational busyness of the charging piles by weighting the two sets of analysis results; Step 41: Setting and applying the weighted output logic; Step 5: Construct the charging pile distribution and path topology, and provide recommended charging piles for vehicles entering the entrance gate of the charging pile deployment area based on the charging pile operation level; Step 51: Setting and applying the recommended charging station selection logic; Step 6: Extract the arrival path corresponding to the recommended charging station from the charging station distribution and path topology, and send the arrival path and recommended charging station together to the car owner.

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