DC charging pile intelligent protection system and method based on new energy vehicle

Abstract

The invention relates to the technical field of new energy vehicles, in particular to a DC charging pile intelligent protection system and method based on a new energy vehicle, and the system comprises a monitoring layer, an analysis layer, and a recommendation layer. The historical operation parameters of the charging pile are uploaded through the monitoring layer, the monitoring layer monitors the current operation parameters of the charging pile in real time, the historical operation parameters of the charging pile and the current operation parameters of the charging pile are stored in a distinguished mode, and the difference of the two sets of parameters stored in the distinguished mode is recognized. The busy degree of the charging pile is identified, and based on the busy degree of the charging pile, the recommended charging pile and the charging path are provided for the automobile when the automobile drives into the charging field where the charging pile is located, so that a certain guiding effect is provided for the charging pile in the charging field, and the problem of unbalanced use frequency of the charging pile is mainly solved; and the condition that the use frequency of individual charging piles is extremely high or extremely low is avoided.

Description

Technical Field

[0001] The present invention relates to the technical field of new energy vehicles, and in particular to an intelligent protection system and method for a DC charging pile based on new energy vehicles. Background Art

[0002] A DC charging pile is a charging device that provides DC power for electric vehicles. It is generally connected to the AC power grid and can be used as a power supplement for non-onboard electric vehicles. It can output DC power with continuously regulated voltage and current to achieve fast charging requirements.

[0003] The invention patent with application number 201710634303.2 discloses a DC charging pile intelligent charging system, which is characterized by: including a main control chip, a card reader, a DC insulation detection module, a human-computer interaction module, a signal conversion module, a DC charging gun, a current transformer, a surge protector, a charging module, a fast fuse, a DC contactor, a DC current shunt, an aluminum shell resistor, a miniature circuit breaker QF11, an intermediate relay KM2, an intermediate relay KM3, an intermediate relay KM5, an intermediate relay KM6, an intermediate relay K7, an intermediate relay KM8, a switching power supply 1, and a switching power supply 2; the intermediate relays KM2, 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 the RS232 serial port, connected to the insulation detection module, the human-computer interaction module and the signal conversion module via the RS485 serial port, and connected to the vehicle battery management system via the CAN communication port; the main control chip is also connected to the external network; the signal conversion module is connected to the charging module via the CAN communication port; the current transformer is connected to the peripheral power grid, and a three-phase four-wire intelligent power meter is also connected to it; a surge protector is also connected between the current transformer and the peripheral power grid.

[0004] The application aims to solve the problem that "the existing electric vehicle charging pile system has a simple structure and a low level of intelligence. On the one hand, it is unable to intelligently detect the connection status of the power supply when the electric vehicle starts charging, causing some users to waste time resources without knowing it; on the other hand, during the charging process of the electric vehicle, once the power supply fails such as overvoltage, undervoltage or overcurrent, it will affect the service life of the electric vehicle power supply. At the same time, when the charging pile fails and cannot be used, the management personnel need to conduct regular manual inspections and controls, which will directly cause the charging pile to be unable to supply power normally during this period, affecting the quality of use for users."

[0005] However, the fault maintenance related technologies for the daily operation of DC charging piles have gradually become complete. However, due to the different distribution locations of DC charging piles in the charging field, when choosing charging piles for charging, charging owners tend to choose charging piles in individual or local areas, which leads to large differences in the frequency of use of each charging pile, further affecting the service life and failure rate of each charging pile in the charging field.

[0006] To this end, we proposed 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 prior art, the present invention provides an intelligent protection system and method for a DC charging pile based on new energy vehicles, which solves the technical problems raised in the above-mentioned background technology.

[0008] To achieve the above objectives, the present invention is implemented through the following technical solutions:

[0009] In the first aspect, a DC charging pile intelligent protection system based on new energy vehicles includes: a monitoring layer, an analysis layer and a recommendation layer;

[0010] The historical operating parameters of the charging pile are uploaded through the monitoring layer. The monitoring layer monitors the current operating parameters of the charging pile in real time, distinguishes and stores the historical operating parameters of the charging pile and the current operating parameters of the charging pile, and identifies the differences between the two sets of distinguished and stored parameters. The analysis layer synchronously receives the historical operating parameters of the charging pile and the current operating parameters of the charging pile stored in the monitoring layer, analyzes the historical operation busyness of the charging pile and the current operation busyness. The recommendation layer further receives the analysis results of the charging pile busyness, constructs the charging pile distribution and path topology, and feeds back the recommended charging pile and the corresponding charging pile arrival path to the car owner when the entrance gate of the charging pile deployment area allows the vehicle to enter.

[0011] The analysis layer includes a receiving module, an analyzing module and a weighting module, the receiving module is used to receive the historical operating parameters and current operating parameters of the charging pile stored in the monitoring storage, the analyzing module is used to traverse the historical operating parameters and current operating parameters of the charging pile received in the receiving module, and analyze the historical operating busyness and current operating busyness of the charging pile based on the historical operating parameters and current operating parameters of the charging pile, and the weighting module is used to receive the historical operating busyness and current operating busyness of the charging pile analyzed in the analyzing module, and output the charging pile operating busyness based on the historical operating busyness and current operating busyness of the charging pile;

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

[0013]

[0014] Where OCC(α) is the busyness of the charging pile α; u is the total amount of charging tasks performed by the charging pile; T v is the running time of the vth charging task; P v is the charging amount of the vth charging task; θ(v,v+1) is the voltage fluctuation value in the voltage fluctuation spectrum in the vth charging task and the v+1th charging task; δ is a constant; U c Monitor the voltage of group c in the vth charging task; U c+1 Monitor the voltage of the c+1th group in the vth charging task; U y The voltage of the yth group in the v+1th charging task is monitored; U y+1 Monitor the voltage for the y+1th group in the v+1th charging task;

[0015] in, Table pair The average, Table pair The average, Table pair The larger the OCC(α) value of the operation busyness of the charging pile α, the busier the charging pile α is. Conversely, the less busy the charging pile α is. Based on the above logic, the historical operation busyness and current operation busyness of each charging pile are calculated.

[0016] Furthermore, the monitoring layer includes an upload module, a collection module and a storage module, the upload module is used to upload the historical operating parameters of the charging pile, the collection module is used to collect the 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 collected in real time by the collection module, and distinguish and store the historical operating parameters of the charging pile and the current operating parameters;

[0017] Among them, the charging pile operating parameters include: the number of charging tasks executed, the charging time of each charging task of the charging pile, the charging amount of each charging task of the charging pile, and the voltage fluctuation spectrum of each charging task of the charging pile. The historical operating parameters of the charging pile uploaded in the upload module are the operating parameters generated within the time threshold of 00:00:00 to 23:59:59 on the previous day of the system operation stage. The current operating parameters of the charging pile collected in the collection module are the current operating parameters of the charging pile as of the end of the collection module stage on the day of the system operation stage.

[0018] Furthermore, the acquisition module runs synchronously with the gate at the entrance of the charging pile deployment area. Each time the gate at the entrance of the charging pile deployment area releases a vehicle, the acquisition module runs once.

[0019] The charging piles are provided with several groups, and the corresponding operating parameters of the charging piles in the several groups are marked with the charging pile numbers. The monitoring layer is provided with an operating reset cycle, and the operating reset cycle is twenty-four hours. Before the end of each operating reset cycle, the difference identification between the historical operating parameters of the charging pile and the current operating parameters is performed once, and based on the difference identification result, it is decided whether 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 are backed up;

[0020] Among them, if the decision result is yes, the current operating parameters of the charging pile stored in the interval of the charging pile current operating parameters in the storage module are backed up, and after the monitoring layer is reset, the backed-up current operating parameters of the charging pile are placed in the interval of the charging pile historical operating parameters originally stored in the storage module; if the decision result is no, the interval of the charging pile historical operating parameters stored in the storage module is excluded from the reset operation of the monitoring layer.

[0021] Furthermore, the difference recognition logic between the historical operating parameters and the current operating parameters of the charging pile is expressed as:

[0022]

[0023] Where: DIFF(h,c) is the difference between the historical operating parameters of the charging pile and the current operating parameters; q h The number of times the charging task is 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 time stamp of the difference recognition phase is 00:00:00 on the current day; m h T is the accumulated charging amount of the charging task in the historical operating parameters of the charging pile; h The cumulative charging time of the charging task in the historical operating parameters of the charging pile; m c T is the accumulated charging amount of the charging task in the current operating parameters of the charging pile; c The cumulative charging time of the charging task in the current operating parameters of the charging pile; sim(f h ,f c ) is the comprehensive similarity of the voltage fluctuation spectrum of each charging task corresponding to the historical operating parameters of the charging pile and the current operating parameters; γ is the adjustment coefficient;

[0024] Among them, the adjustment coefficient γ∈[1.2), if the difference between the historical operating parameters of the charging pile and the current operating parameters DIFF(h,c)≤5%, the decision result is no, and if the difference between the historical operating parameters of the charging pile and the current operating parameters DIFF(h,c)>5%, the decision result is yes.

[0025] Furthermore, the comprehensive similarity sim(f h ,f c ) is obtained by the following formula:

[0026]

[0027] Where: n h is the collection of voltage fluctuation spectra in the historical operating parameters of the charging pile; n c is the collection of voltage fluctuation spectrum in the current operating parameters of the charging pile; U(MAX) i is the maximum voltage value in the voltage fluctuation spectrum of the i-th group; U(MAX) j is the maximum voltage value in the voltage fluctuation spectrum of the jth group; U(MIN) i is the minimum voltage value in the voltage fluctuation spectrum of the i-th group; U(MIN) j is the minimum voltage value in the voltage fluctuation spectrum of the jth group; is the average voltage value in the voltage fluctuation spectrum of the i-th group; is the average voltage value in the voltage fluctuation spectrum of the jth group; ε is the correction;

[0028] Among them, the corrected ε takes a value of 1 or -1. In the fraction where the corrected ε is located, if the numerator is less than or equal to the denominator, the corrected ε takes a value of 1; if the numerator is greater than the denominator, the corrected ε takes a value of -1. The voltage fluctuation spectrum corresponds to each completed and ongoing charging task in the historical operating parameters and current operating parameters of the charging pile.

[0029] Furthermore, during the operation phase of the weighted module, the weighted output result of the busyness of the charging pile is:

[0030] OCC(α)′=OCC(α) h ×ω 1 +OCC(α) c ×ω 2 ;

[0031] Where: OCC(α)′ is the busyness of the charging pile; OCC(α) h OCC(α) is the historical operation busyness of the charging pile; c The current busyness of the charging pile; 1 ,ω 2 is the weight;

[0032] Among them, the weight ω 1 ,ω 2 The sum is 1, and the weight ω 1 ,ω 2 The value is defined by the system user, and 1Always less than ω 2 , weight ω 1 ,ω 2 The initial default setting values ​​are 0.4, 0.6.

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

[0034] Among them, when constructing the charging pile distribution and path topology, the construction module connects the road location information in the charging pile deployment area to construct a road topology representing the charging pile deployment area, further represents the charging pile with a specified shape block, and then places the block representing the charging pile into the road topology in the charging pile deployment area based on the charging pile location information, so as 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 based on two different colors to distinguish between occupied and idle charging piles, and the charging pile distribution and path topology refresh the rendering color of the blocks representing the charging piles in the charging pile distribution and path topology based on the set refresh frequency.

[0035] Furthermore, when selecting a charging pile, the selection module traverses the rendering colors of the blocks representing the charging piles in the distribution of the charging piles and the path topology, and selects the charging pile with the least busyness among the charging piles corresponding to the blocks representing the rendering colors of the idle ones as the selection target;

[0036] After the selection module selects a charging pile, the interaction module further determines the corresponding block of the selected charging pile 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 in the charging pile distribution and path topology, and provides feedback to the owner of the vehicle released by the gate;

[0037] Among them, the interactive module extracts the path, that is, the arrival path of the charging pile. When giving feedback to the owner of the vehicle released by the gate, the vehicle's central control display screen or the mobile computer device owned by the owner is used as the feedback target, and the owner reads the path on the vehicle's central control display screen or mobile computer device.

[0038] Furthermore, the receiving module is interactively connected to the analysis module and the weighting module via a wireless network, the weighting module is interactively connected to the storage module via a wireless network, the storage module is interactively connected to the collection module and the upload module via a wireless network, the receiving module is interactively connected to the construction module via a wireless network, and the construction module is interactively connected to the selection module and the interaction module via a wireless network.

[0039] In a second aspect, a DC charging pile intelligent protection method based on a new energy vehicle comprises the following steps:

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

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

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

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

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

[0045] Step 4: Obtain the analysis results of the historical operation busyness and current operation busyness of the charging pile, and output the operation busyness of the charging pile based on the weighted analysis results of the two groups;

[0046] Step 41: Setting and applying 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 busyness;

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

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

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

[0051] Beneficial effects:

[0052] The present invention provides a DC charging pile intelligent protection system and method based on new energy vehicles. During operation, the system identifies the busyness of the charging pile by combining and analyzing the historical operating parameters and current operating parameters of the charging pile. Based on the busyness of the charging pile, when the car enters the charging field where the charging pile is located, the system provides the car with recommended charging piles and charging paths, thereby providing a certain guidance effect for the charging piles in the charging field, and mainly solves the problem of uneven use frequency of the charging piles, avoiding the situation where the use frequency of individual charging piles is extremely high or extremely low, based on which a protection effect at the healthy use level is brought to the charging piles, and based on the execution of the steps in the method, further provides operation logic support for the operation of the above system, ensures the stable application of the technical solution composed of the system and method, and serves the daily use and protection of the charging piles. BRIEF DESCRIPTION OF THE DRAWINGS

[0053] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the prior art descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention, and for ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0054] Figure 1 It is a structural schematic diagram of an intelligent protection system for DC charging piles based on new energy vehicles;

[0055] Figure 2 A schematic diagram of a flow chart of an intelligent protection method for a DC charging pile based on new energy vehicles;

[0056] Figure 3 A schematic diagram showing a charging pile block in the charging pile distribution and path topology in the present invention;

[0057] Figure 4 It is a schematic diagram of the road topology within the charging pile deployment area in the charging pile distribution and path topology in the present invention. DETAILED DESCRIPTION

[0058] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution 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 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.

[0059] The present invention will be further described below in conjunction with the embodiments.

[0060] Embodiment 1:

[0061] The present embodiment is a DC charging pile intelligent protection system based on new energy vehicles, such as Figure 1 As shown, it includes: monitoring layer, analysis layer and recommendation layer;

[0062] The historical operating parameters of the charging pile are uploaded through the monitoring layer. The monitoring layer monitors the current operating parameters of the charging pile in real time, distinguishes and stores the historical operating parameters of the charging pile and the current operating parameters of the charging pile, and identifies the differences between the two sets of distinguished and stored parameters. The analysis layer synchronously receives the historical operating parameters of the charging pile and the current operating parameters of the charging pile stored in the monitoring layer, analyzes the historical operation busyness of the charging pile and the current operation busyness. The recommendation layer further receives the analysis results of the charging pile busyness, constructs the charging pile distribution and path topology, and feeds back the recommended charging pile and the corresponding charging pile arrival path to the car owner when the entrance gate of the charging pile deployment area allows the vehicle to enter.

[0063] The monitoring layer includes an upload module, a collection module and a storage module. The upload module is used to upload the historical operating parameters of the charging pile, the collection module is used to collect the 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 collected in real time by the collection module, and distinguish and store the historical operating parameters of the charging pile and the current operating parameters;

[0064] Among them, the charging pile operation parameters include: the number of charging tasks executed by the charging pile, the charging time of each charging task of the charging pile, the charging amount of each charging task of the charging pile, and the voltage fluctuation spectrum of each charging task of the charging pile. 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 previous day of the system operation stage. The current operation parameters of the charging pile collected in the collection module are the current operation parameters of the charging pile as of the end of the collection module stage on the day of the system operation stage.

[0065] The analysis layer includes a receiving module, an analysis module and a weighting module. The receiving module is used to receive the historical operation parameters and current operation parameters of the charging pile stored in the monitoring storage. The analysis module is used to traverse the historical operation parameters and current operation parameters of the charging pile received in the receiving module, and analyze the historical operation busyness and current operation busyness of the charging pile based on the historical operation parameters and current operation parameters of the charging pile. The weighting module is used to receive the historical operation busyness and current operation busyness of the charging pile analyzed in the analysis module, and weighted output the charging pile operation busyness based on the historical operation busyness and current operation busyness of the charging pile.

[0066] The analysis logic of the historical operation busyness and current operation busyness of the charging pile in the analysis module is expressed as:

[0067]

[0068] Where OCC(α) is the busyness of the charging pile α; u is the total amount of charging tasks performed by the charging pile; T v is the running time of the vth charging task; P v is the charging amount of the vth charging task; θ(v,v+1) is the voltage fluctuation value in the voltage fluctuation spectrum in the vth charging task and the v+1th charging task; δ is a constant; U c Monitor the voltage of group c in the vth charging task; U c+1 Monitor the voltage of the c+1th group in the vth charging task; U y The voltage of the yth group in the v+1th charging task is monitored; U y+1 Monitor the voltage for the y+1th group in the v+1th charging task;

[0069] in, Table pair The average, Table pair The average, Table pair The larger the OCC(α) value of the operation busyness of the charging pile α, the busier the charging pile α is. Conversely, the less busy the charging pile α is. Based on the above logic, the historical operation busyness and current operation 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 the location information of the charging piles and the location information of the roads in the distribution area of ​​the charging piles, and to construct the distribution and path topology of the charging piles based on the location information of the charging piles and the road location information in the deployment area of ​​the charging piles. The selection module is used to select the charging piles as the recommended charging piles for the vehicles currently released by the gate. The interaction module is used to receive the distribution and path topology of the charging piles in the construction module and the charging piles selected in the selection module, and to extract the path from the entrance gate of the charging pile deployment area to the selected charging pile in the distribution and path topology of the charging piles, and to feed back the extracted path to the owners of the vehicles released by the gate.

[0071] Among them, when constructing the charging pile distribution and path topology, the construction module connects the road location information in the charging pile deployment area to construct a road topology representing the charging pile deployment area, further represents the charging pile with a specified shape block, and then places the block representing the charging pile into the road topology in the charging pile deployment area based on the charging pile location information, that is, the charging pile distribution and path topology is obtained, and the blocks representing the charging piles in the charging pile distribution and path topology are rendered based on two different colors to distinguish between occupied and idle charging piles, and the charging pile distribution and path topology refresh the rendering color of the blocks representing the charging piles in the charging pile distribution and path topology based on the set refresh frequency;

[0072] The receiving module is interactively connected to the analysis module and the weighting module through a wireless network, the weighting module is interactively connected to the storage module through a wireless network, the storage module is interactively connected to the collection module and the upload module through a wireless network, the receiving module is interactively connected to the construction module through a wireless network, and the construction module is interactively connected to the selection module and the interaction module through a wireless network.

[0073] In this embodiment, the upload module runs to upload the historical operating parameters of the charging pile, the acquisition module synchronously and in real time acquires the current operating parameters of the charging pile, the storage module is post-operated to receive the historical operating parameters of the charging pile uploaded in the upload module and the current operating parameters of the charging pile acquired in real time in the acquisition module, and the historical operating parameters of the charging pile and the current operating parameters are distinguished and stored, and then the receiving module receives the historical operating parameters and the current operating parameters of the charging pile stored in the monitoring storage, the analysis module further traverses the historical operating parameters and the current operating parameters of the charging pile received in the receiving module, and analyzes the historical operating busyness and the current operating busyness of the charging pile based on the historical operating parameters and the current operating parameters of the charging pile, and the weighted module receives the analysis in the analysis module in real time. The historical operation busyness and current operation busyness of the charging pile are obtained, and the operation busyness of the charging pile is weighted and output based on the historical operation busyness and current operation busyness of the charging pile. Finally, the charging pile location information and the road location information in the charging pile distribution area are uploaded through the construction module. The charging pile distribution and path topology are constructed based on the charging pile location information and the road location information in the charging pile deployment area. The selection module selects the charging pile as the recommended charging pile for the vehicle currently released by the gate. The interaction module finally receives the charging pile distribution and path topology in the construction module and the charging pile selected in the selection module, and extracts the path from the entrance gate of the charging pile deployment area to the selected charging pile in the charging pile distribution and path topology, and feeds back the extracted path to the owner of the vehicle released by the gate.

[0074] Through the operation of the system in the above embodiment, the charging pile is provided with an intelligent protection effect of frequency balancing, ensuring that each charging pile in the charging field can provide more balanced service to the charging vehicle owner;

[0075] See also Figure 3 , Figure 4 As shown, the figure further shows the charging pile blocks and the road topology in the charging pile deployment area in the charging pile distribution and path topology. The charging pile blocks and the road topology in the charging pile deployment area are placed in the same axis network, and the charging pile distribution and path topology are obtained;

[0076] It should be noted that Figure 3 In the figure, the rendering state of the charging pile block is represented based on filling and unfilling, so as to better understand the charging pile distribution and path topology referred to in the technical solution in the above embodiment.

[0077] Embodiment 2:

[0078] In terms of specific implementation, based on Example 1, this example refers to Figure 1 A DC charging pile intelligent protection system based on new energy vehicles in Example 1 is further described in detail:

[0079] The acquisition module runs synchronously with the entrance gate of the charging pile deployment area. The acquisition module runs once each time the entrance gate of the charging pile deployment area releases a vehicle;

[0080] There are several groups of charging piles, and the corresponding operating parameters of the several groups of charging piles are marked with the charging pile numbers. An operating reset cycle is set in the monitoring layer, and the operating reset cycle is twenty-four hours. Before the end of each operating reset cycle, the difference identification between the historical operating parameters and the current operating parameters of the charging pile is performed once, and based on the difference identification result, it is decided whether 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 are backed up;

[0081] If the decision result is yes, 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 are backed up, and after the monitoring layer is reset, the backed-up current operating parameters of the charging pile are placed in the interval where the historical operating parameters of the charging pile are originally stored in the storage module; if the decision result is no, the interval where the historical operating parameters of the charging pile are stored in the storage module is excluded from the reset operation of the monitoring layer;

[0082] The difference recognition logic between the historical operating parameters and the current operating parameters of the charging pile is expressed as:

[0083]

[0084] Where: DIFF(h,c) is the difference between the historical operating parameters of the charging pile and the current operating parameters; q h The number of times the charging task is 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 time stamp of the difference recognition phase is 00:00:00 on the current day; m h T is the accumulated charging amount of the charging task in the historical operating parameters of the charging pile; h The cumulative charging time of the charging task in the historical operating parameters of the charging pile; m c T is the accumulated charging amount of the charging task in the current operating parameters of the charging pile; c The cumulative charging time of the charging task in the current operating parameters of the charging pile; sim(f h ,f c ) is the comprehensive similarity of the voltage fluctuation spectrum of each charging task corresponding to the historical operating parameters of the charging pile and the current operating parameters; γ is the adjustment coefficient;

[0085] Among them, the adjustment coefficient γ∈[1.2), if the difference between the historical operating parameters of the electric pile and the current operating parameters DIFF(h,c)≤5%, the decision result is no, and if the difference between the historical operating parameters of the electric pile and the current operating parameters DIFF(h,c)>5%, the decision result is yes;

[0086] The comprehensive similarity sim(f h ,f c ) is obtained by the following formula:

[0087]

[0088] Where: n h is the collection of voltage fluctuation spectra in the historical operating parameters of the charging pile; n c is the collection of voltage fluctuation spectrum in the current operating parameters of the charging pile; U(MAX) i is the maximum voltage value in the voltage fluctuation spectrum of the i-th group; U(MAX) j is the maximum voltage value in the voltage fluctuation spectrum of the jth group; U(MIN) i is the minimum voltage value in the voltage fluctuation spectrum of the i-th group; U(MIN) j is the minimum voltage value in the voltage fluctuation spectrum of the jth group; is the average voltage value in the voltage fluctuation spectrum of the i-th group; is the average voltage value in the voltage fluctuation spectrum of the jth group; ε is the correction;

[0089] Among them, the corrected ε takes the value of 1 or -1. In the fraction where the corrected ε is located, if the numerator is less than or equal to the denominator, the corrected ε takes the value of 1. If the numerator is greater than the denominator, the corrected ε takes the value of -1. The voltage fluctuation spectrum corresponds to each completed and ongoing charging task in the historical operating parameters and current operating parameters of the charging pile.

[0090] In this embodiment, through the above-mentioned logical formula, the difference between the historical operating parameters and the current operating parameters of the charging pile and the calculation method of the comprehensive similarity of the pressure fluctuation spectrum are identified and assigned with a specified logical formula to ensure the stable and effective replacement of the historical operating parameters and the current operating parameters of the charging pile applied by the system operation.

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

[0092] OCC(α)′=OCC(α) h ×ω 1 +OCC(α) c ×ω 2 ;

[0093] Where: OCC(α)′ is the busyness of the charging pile; OCC(α) h OCC(α) is the historical operation busyness of the charging pile; c The current busyness of the charging pile; 1 ,ω 2 is the weight;

[0094] Among them, the weight ω 1 ,ω 2 The sum is 1, and the weight ω 1 ,ω 2 The value is defined by the system user, and 1 Always less than ω 2 , weight ω 1 ,ω 2 The initial default setting values ​​are 0.4, 0.6.

[0095] The above logic formula further defines the operation logic of the weighting module.

[0096] like Figure 1 As shown, when selecting a charging pile, the selection module traverses the rendering colors of the blocks representing the charging piles in the distribution of the charging piles and the path topology, and selects the charging pile with the least busyness among the charging piles corresponding to the blocks representing the idle rendering colors as the selection target;

[0097] After the selection module selects a charging pile, the interaction module further determines the corresponding block of the selected charging pile 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 in the charging pile distribution and path topology, and provides feedback to the owner of the vehicle released by the gate;

[0098] Among them, the interactive module extracts the path, that is, the arrival path of the charging pile. When giving feedback to the owner of the vehicle released by the gate, the vehicle's central control display screen or the mobile computer device owned by the owner is used as the feedback target, and the owner reads the path on the vehicle's central control display screen or mobile computer device.

[0099] Through the above settings, the system's recommendation layer is further provided with operating logic and data support to ensure that the system's recommendation layer stably outputs recommended charging piles and corresponding arrival paths.

[0100] Embodiment 3:

[0101] In terms of specific implementation, based on Example 1, this example refers to Figure 2 A DC charging pile intelligent protection system based on new energy vehicles in Example 1 is further described in detail:

[0102] A method for intelligent protection of a DC charging pile based on a new energy vehicle comprises the following steps:

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

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

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

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

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

[0108] Step 4: Obtain the analysis results of the historical operation busyness and current operation busyness of the charging pile, and output the operation busyness of the charging pile based on the weighted analysis results of the two groups;

[0109] Step 41: Setting and applying 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 busyness;

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

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

[0113] In summary, during operation, the system in the above embodiment identifies the busyness of the charging pile by combining and analyzing the historical operating parameters and current operating parameters of the charging pile, and then based on the busyness of the charging pile, provides the car with recommended charging piles and charging paths when the car enters the charging field where the charging pile is located, thereby providing a certain guidance effect for the charging piles in the charging field, and mainly solves the problem of uneven usage frequency of the charging piles, avoiding the situation where individual charging piles are used at extremely high or low frequencies, based on which a protection effect at the healthy use level is brought to the charging piles, and at the same time, based on the execution of the steps in the method, further provides operation logic support for the operation of the above system, ensuring the stable application of the technical solution composed of the system and method, and serving the daily use and protection of the charging piles.

[0114] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements 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 DC charging pile intelligent protection system based on new energy vehicles, characterized in that: include: Monitoring layer, analysis layer and recommendation layer; The historical operating parameters of the charging pile are uploaded through the monitoring layer. The monitoring layer monitors the current operating parameters of the charging pile in real time, distinguishes and stores the historical operating parameters of the charging pile and the current operating parameters of the charging pile, and identifies the differences between the two sets of distinguished and stored parameters. The analysis layer synchronously receives the historical operating parameters of the charging pile and the current operating parameters of the charging pile stored in the monitoring layer, analyzes the historical operation busyness of the charging pile and the current operation busyness. The recommendation layer further receives the analysis results of the charging pile busyness, constructs the charging pile distribution and path topology, and feeds back the recommended charging pile and the corresponding charging pile arrival path to the car owner when the entrance gate of the charging pile deployment area allows the vehicle to enter. The analysis layer includes a receiving module, an analyzing module and a weighting module, the receiving module is used to receive the historical operating parameters and current operating parameters of the charging pile stored in the monitoring storage, the analyzing module is used to traverse the historical operating parameters and current operating parameters of the charging pile received in the receiving module, and analyze the historical operating busyness and current operating busyness of the charging pile based on the historical operating parameters and current operating parameters of the charging pile, and the weighting module is used to receive the historical operating busyness and current operating busyness of the charging pile analyzed in the analyzing module, and output the charging pile operating busyness based on the historical operating busyness and current operating busyness of the charging pile; The analysis logic of the historical operation busyness and current operation busyness of the charging pile in the analysis module is expressed as follows: Where, OCC(α) is the busyness of the charging pile α; u is the total amount of charging tasks performed by the charging pile; T v is the running time of the vth charging task; P v is the charging amount of the vth charging task; θ(v,v+1) is the voltage fluctuation value in the voltage fluctuation spectrum in the vth charging task and the v+1th charging task; δ is a constant; U c Monitor the voltage of group c in the vth charging task; U c+1 Monitor the voltage of the c+1th group in the vth charging task; U y The voltage of the yth group in the v+1th charging task is monitored; U y+1 Monitor the voltage for the y+1th group in the v+1th charging task; in, Table pair The average, Table pair The average, Table pair The larger the OCC(α) value of the operation busyness of the charging pile α, the busier the charging pile α is. Conversely, the less busy the charging pile α is. Based on the above logic, the historical operation busyness and current operation busyness of each charging pile are calculated.

2. According to claim 1, a DC charging pile intelligent protection system based on new energy vehicles is characterized in that: The monitoring layer includes an upload module, a collection module and a storage module. The upload module is used to upload the historical operating parameters of the charging pile, the collection module is used to collect the 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 collected in real time by the collection module, and distinguish and store the historical operating parameters of the charging pile and the current operating parameters; Among them, the charging pile operating parameters include: the number of charging tasks executed, the charging time of each charging task of the charging pile, the charging amount of each charging task of the charging pile, and the voltage fluctuation spectrum of each charging task of the charging pile. The historical operating parameters of the charging pile uploaded in the upload module are the operating parameters generated within the time threshold of 00:00:00 to 23:59:59 on the previous day of the system operation stage. The current operating parameters of the charging pile collected in the collection module are the current operating parameters of the charging pile as of the end of the collection module stage on the day of the system operation stage.

3. According to claim 1, a DC charging pile intelligent protection system based on new energy vehicles is characterized in that: The acquisition module runs synchronously with the entrance gate of the charging pile deployment area. Each time the entrance gate of the charging pile deployment area releases a vehicle, the acquisition module runs once; The charging piles are provided with several groups, and the corresponding operating parameters of the charging piles in the several groups are marked with the charging pile numbers. The monitoring layer is provided with an operating reset cycle, and the operating reset cycle is twenty-four hours. Before the end of each operating reset cycle, the difference identification between the historical operating parameters of the charging pile and the current operating parameters is performed once, and based on the difference identification result, it is decided whether 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 are backed up; Among them, if the decision result is yes, the current operating parameters of the charging pile stored in the interval of the charging pile current operating parameters in the storage module are backed up, and after the monitoring layer is reset, the backed-up current operating parameters of the charging pile are placed in the interval of the charging pile historical operating parameters originally stored in the storage module; if the decision result is no, the interval of the charging pile historical operating parameters stored in the storage module is excluded from the reset operation of the monitoring layer.

4. According to claim 3, a DC charging pile intelligent protection system based on new energy vehicles is characterized in that: The difference recognition logic between the historical operating parameters and the current operating parameters of the charging pile is expressed as: Where: DIFF(h,c) is the difference between the historical operating parameters of the charging pile and the current operating parameters; q h The number of times the charging task is 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 time stamp for the difference recognition phase is 00;00;00 of the current day; m h T is the accumulated charging amount of the charging task in the historical operating parameters of the charging pile; h The cumulative charging time of the charging task in the historical operating parameters of the charging pile; m c T is the accumulated charging amount of the charging task in the current operating parameters of the charging pile; c The cumulative charging time of the charging task in the current operating parameters of the charging pile; sim(f h ,f c ) is the comprehensive similarity of the voltage fluctuation spectrum of each charging task corresponding to the historical operating parameters of the charging pile and the current operating parameters; γ is the adjustment coefficient; Among them, the adjustment coefficient γ∈[1.2), if the difference between the historical operating parameters of the charging pile and the current operating parameters DIFF(h,c)≤5%, the decision result is no, and if the difference between the historical operating parameters of the charging pile and the current operating parameters DIFF(h,c)>5%, the decision result is yes.

5. According to claim 4, a DC charging pile intelligent protection system based on new energy vehicles is characterized in that: The comprehensive similarity sim(f) of the voltage fluctuation spectrum of the charging pile historical operating parameters and the current operating parameters corresponding to each charging task h ,f c ) is obtained by the following formula: Where: n h is the collection of voltage fluctuation spectra in the historical operating parameters of the charging pile; n c is the collection of voltage fluctuation spectrum in the current operating parameters of the charging pile; U(MAX) i is the maximum voltage value in the voltage fluctuation spectrum of the i-th group; U(MAX) j is the maximum voltage value in the voltage fluctuation spectrum of the jth group; U(MIN) i is the minimum voltage value in the voltage fluctuation spectrum of the i-th group; U(MIN) j is the minimum voltage value in the voltage fluctuation spectrum of the jth group; is the average voltage value in the voltage fluctuation spectrum of the i-th group; is the average voltage value in the voltage fluctuation spectrum of the jth group; ε is the correction; Among them, the corrected ε takes a value of 1 or -1. In the fraction where the corrected ε is located, if the numerator is less than or equal to the denominator, the corrected ε takes a value of 1; if the numerator is greater than the denominator, the corrected ε takes a value of -1. The voltage fluctuation spectrum corresponds to each completed and ongoing charging task in the historical operating parameters and current operating parameters of the charging pile.

6. According to claim 1, a DC charging pile intelligent protection system based on new energy vehicles is characterized in that: During the operation phase of the weighted module, the weighted output result of the busyness of the charging pile is: OCC(a)′=OCC(a) h ×ω1+OCC(a) c ×ω2; Where: OCC(α)′ is the busyness of the charging pile; OCC(α) h OCC(α) is the historical operation busyness of the charging pile; c is the current busyness of the charging pile; ω1 and ω2 are weights; Among them, the sum of weights ω1 and ω2 is 1, and the values ​​of weights ω1 and ω2 are customized by system users, and ω1 is always smaller than ω2. The initial default settings of weights ω1 and ω2 are 0.4 and 0.

6.

7. According to claim 1, a DC charging pile intelligent protection system based on new energy vehicles is characterized in that: The recommendation layer includes a construction module, a selection module and an interaction module. The construction module is used to upload the location information of the charging piles and the location information of the roads in the distribution area of ​​the charging piles, and to construct the distribution and path topology of the charging piles based on the location information of the charging piles and the location information of the roads in the deployment area of ​​the charging piles. The selection module is used to select the charging piles as the recommended charging piles for the vehicles currently released by the gate. The interaction module is used to receive the distribution and path topology of the charging piles in the construction module and the charging piles selected in the selection module, extract the path from the entrance gate of the charging pile deployment area to the selected charging pile in the distribution and path topology of the charging piles, and feed back the extracted path to the owner of the vehicle released by the gate. Among them, when constructing the charging pile distribution and path topology, the construction module connects the road location information in the charging pile deployment area to construct a road topology representing the charging pile deployment area, further represents the charging pile with a specified shape block, and then places the block representing the charging pile into the road topology in the charging pile deployment area based on the charging pile location information, so as 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 based on two different colors to distinguish between occupied and idle charging piles, and the charging pile distribution and path topology refresh the rendering color of the blocks representing the charging piles in the charging pile distribution and path topology based on the set refresh frequency.

8. The intelligent protection system for DC charging piles based on new energy vehicles according to claim 7 is characterized in that: When selecting a charging pile, the selection module traverses the rendering colors of the blocks representing the charging piles in the distribution of the charging piles and the path topology, and selects the charging pile with the least busyness among the charging piles corresponding to the blocks representing the rendering colors of the idle ones as the selection target; After the selection module selects a charging pile, the interaction module further determines the corresponding block of the selected charging pile 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 in the charging pile distribution and path topology, and provides feedback to the owner of the vehicle released by the gate; Among them, the interactive module extracts the path, that is, the arrival path of the charging pile. When giving feedback to the owner of the vehicle released by the gate, the vehicle's central control display screen or the mobile computer device owned by the owner is used as the feedback target, and the 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 is characterized in that: The receiving module is interactively connected to the analysis module and the weighting module via a wireless network, the weighting module is interactively connected to the storage module via a wireless network, the storage module is interactively connected to the collection module and the uploading module via a wireless network, the receiving module is interactively connected to the construction module via a wireless network, and the construction module is interactively connected to the selection module and the interaction module via a wireless network.

10. A method for intelligent protection of a DC charging pile based on a new energy vehicle, the method being an implementation method of an intelligent protection system for a DC charging pile based on a new energy vehicle as claimed in any one of claims 1 to 9, characterized in that: The following steps are involved: Step 1: Upload the historical operating parameters of the charging pile, collect the current operating parameters of the charging pile in real time, and analyze the differences between the historical operating parameters and the current operating parameters of the charging pile; Step 11: Setting and applying the logic for analyzing the difference between the historical operating parameters and the current operating parameters of the charging pile; Step 2: Store the historical operating parameters and current operating parameters of the charging pile, and decide on the iteration of the stored operating parameters based on the difference between the historical operating parameters and the current operating parameters of the charging pile; Step 21: Setting and applying the iterative operation decision logic of the stored charging pile historical operating parameters and current operating parameters; Step 3: Set the charging pile operation busyness analysis logic, and analyze the charging pile's historical operation busyness and current operation busyness based on the analysis logic; Step 4: Obtain the analysis results of the historical operation busyness and current operation busyness of the charging pile, and output the operation busyness of the charging pile based on the weighted analysis results of the two groups; Step 41: Setting and applying 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 busyness; Step 51: Setting and applying the recommended charging pile selection logic; Step 6: Extract the arrival path corresponding to the recommended charging pile from the charging pile distribution and path topology, and feedback the arrival path and the recommended charging pile to the car owner.

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