CN110401191A - Charging pile for electric vehicle service logic consistency analysis method based on sequential logic - Google Patents
Charging pile for electric vehicle service logic consistency analysis method based on sequential logic Download PDFInfo
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- CN110401191A CN110401191A CN201910690107.6A CN201910690107A CN110401191A CN 110401191 A CN110401191 A CN 110401191A CN 201910690107 A CN201910690107 A CN 201910690107A CN 110401191 A CN110401191 A CN 110401191A
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L53/00—Methods of charging batteries, specially adapted for electric vehicles; Charging stations or on-board charging equipment therefor; Exchange of energy storage elements in electric vehicles
- B60L53/60—Monitoring or controlling charging stations
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L53/00—Methods of charging batteries, specially adapted for electric vehicles; Charging stations or on-board charging equipment therefor; Exchange of energy storage elements in electric vehicles
- B60L53/60—Monitoring or controlling charging stations
- B60L53/64—Optimising energy costs, e.g. responding to electricity rates
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/008—Circuit arrangements for ac mains or ac distribution networks involving trading of energy or energy transmission rights
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T10/00—Road transport of goods or passengers
- Y02T10/60—Other road transportation technologies with climate change mitigation effect
- Y02T10/70—Energy storage systems for electromobility, e.g. batteries
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T10/00—Road transport of goods or passengers
- Y02T10/60—Other road transportation technologies with climate change mitigation effect
- Y02T10/7072—Electromobility specific charging systems or methods for batteries, ultracapacitors, supercapacitors or double-layer capacitors
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T90/00—Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
- Y02T90/10—Technologies relating to charging of electric vehicles
- Y02T90/12—Electric charging stations
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T90/00—Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
- Y02T90/10—Technologies relating to charging of electric vehicles
- Y02T90/16—Information or communication technologies improving the operation of electric vehicles
- Y02T90/167—Systems integrating technologies related to power network operation and communication or information technologies for supporting the interoperability of electric or hybrid vehicles, i.e. smartgrids as interface for battery charging of electric vehicles [EV] or hybrid vehicles [HEV]
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S30/00—Systems supporting specific end-user applications in the sector of transportation
- Y04S30/10—Systems supporting the interoperability of electric or hybrid vehicles
- Y04S30/12—Remote or cooperative charging
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- Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Transportation (AREA)
- Mechanical Engineering (AREA)
- Charge And Discharge Circuits For Batteries Or The Like (AREA)
- Electric Propulsion And Braking For Vehicles (AREA)
Abstract
The charging pile for electric vehicle service logic consistency analysis method based on sequential logic that the invention discloses a kind of, for the security risk of electric automobile charging pile monitoring system data transmission procedure, the data reliability verifying method of server end is proposed, the malicious attack for causing power grid to carry out wrong adjustment by error of transmission charge parameter is effectively defendd.This method mainly carries out sequential correlation to charging pile feedback data and users' mobile end feedback data, joint verification is carried out to multi-modal data, to judge whether data exception caused by there is hacker attacks, the service logic consistency safety detection to charging pile monitoring system based on sequential logic is realized.
Description
Technical field
The invention belongs to smart grid security fields, are related to a kind of analysis side for charging pile for electric vehicle electric power terminal
Method more particularly to a kind of charging pile for electric vehicle service logic consistency analysis method based on sequential logic.
Background technique
The charge mode of electric car mainly includes quick charge, normal charge and replacement three kinds of modes of battery pack.It is multi-purpose
Family charging pile is generally used in parking lot primarily directed to conventional charge mode.Influence of the electric car charging to power grid is main
Have two o'clock: (1) in densely populated urban area, electricity consumption is had certain limitations, and centralized charging is carried out to electric car, to whole
A power grid is a bigger load, needs to consider in extensive charging the coulomb balance of electric power.(2) for electricity consumption end
The more part of load, can generate certain harmonic wave for electrical alternations and influence between three-phase, large-scale charging pile accesses power grid
It is bigger dynamic pollution for entire power grid.The above two o'clock explanation, it is necessary to the data feedback of charging pile charging is obtained,
To effectively be adjusted to power grid distribution.
Charging pile charges the initial stage, generally current-limiting charge is carried out using optimal charge multiplying power, in this stage, due to electricity
The electromotive force in pond is low, although the charging voltage of battery is not high, the charging current of battery also can be very big, needs to carry out charging current
Limitation.With the continuity of charging voltage, cell emf constantly rises, and the charging voltage of battery also constantly rises.When battery electricity
When pressure reaches the best charging voltage of permission, constant-voltage charge is kept.This stage, since cell emf constantly rises, and it is electric
Cell voltage remains unchanged, so the charging current of battery declines in hyperbola trend, until being reduced to 0.In actual charging process
In, it can stop charging when charging current is less than 0.015CA.Specific charging process is as shown in Figure 1.
Existing electric automobile charging pile monitoring system structure is usually as shown in Fig. 2, charging pile transfers data to backstage clothes
Business device, users' mobile end transfer data to database server, and it is logical that data are carried out between background server and database server
Letter.At charging pile end, retrievable charge parameter has voltage, electric current and power parameter.Voltage parameter mainly include voltage out-of-limit,
Sensitivity index and stability margin index.Charge power parameter includes complex power, power factor, and power factor is to influence electrically to set
The key of spare electrical efficiency, power factor is small to illustrate that most of electric energy is depleted, therefore effective to active power and reactive power
Monitoring, and power factor can be improved to the power coordination of its being allocated property, reduces power grid electric energy loss, improve electric energy benefit
With rate.The retrievable data of users' mobile end have the data such as charging time, the charging pile number of connection, charging expense.
The safe design of electric automobile charging pile monitoring system is primarily present in data transmission procedure, due to charging pile and
Users' mobile end is often in outer network environment, and there are high security risk, especially electric car charging process feedbacks
Charge parameter is maliciously tampered, and will lead to power grid and carries out wrong adjustment, it is therefore necessary to improve the safety of this link to mention
The security mechanism of high system.
Summary of the invention
The communication links of electric automobile charging pile monitoring system are highly susceptible to malicious attack, cause server control terminal can
The charge data feedback of mistake can be obtained, the present invention is directed to pass through a kind of charging pile for electric vehicle service logic based on sequential logic
Consistency analysis technology, to verify the correctness of feedback data, to effectively be adjusted according to the data to power grid distribution.
The charging pile for electric vehicle service logic consistency analysis method based on sequential logic that the present invention provides a kind of, for
The security risk of electric automobile charging pile monitoring system data transmission procedure proposes the data reliability authentication of server end
Method, effectively defence lead to the malicious attack of the wrong adjustment of power grid progress by error of transmission charge parameter.This method is mainly pair
Charging pile feedback data and users' mobile end feedback data carry out sequential correlation, carry out joint verification to multi-modal data, thus
Judge whether data exception caused by there is hacker attacks, realizes the service logic to charging pile monitoring system based on sequential logic
Consistency safety detection.
This method is specific as follows:
Step 1: data acquisition being carried out to charging pile for electric vehicle terminal and users' mobile end data, the acquisition of charging pile terminal is filled
Electric stake number, time and charge parameter, charge parameter includes voltage, electric current and power parameter, when users' mobile end obtains charging
Between, connection charging pile number, charging expense;The real-time electricity consumption electricity price of charging pile is obtained from database;
Step 2: the data of each index of acquisition are pre-processed, concrete mode is as follows:
Step 2.1: the data of all same physical meanings being converted into the numerical value under uniform units, such as 20 when time 12
15 stopwatches are divided to be shown as 122015, voltage is all shown as being in V, and electric current is expressed as unit of A, and power is expressed as with kW
For unit, the time is as unit of hour h;
Step 2.2: preliminary reasonability judgement, including non-empty and numerical value reasonability, non-empty, that is, parameter values are carried out to data
It cannot be sky, the numerical value reasonability i.e. index value size should reject obvious abnormal data in the reasonable scope.
Step 3: according to the service period and service logic of charging pile, to the multi-modal number of charging pile terminal and user terminal
According to processing is associated, the charging pile charging process analysis of a certain number is specifically included:
Step 3.1: the time t0 and current time t started to charge by user terminal judges present charge state;If t0
=0, electric car constant-current charge process is 0-t1, constant voltage charging phase t1-T, if t < t1, is in constant-current charging phase, then
Charging current I should be constant current I0, charging voltage U=U0+ (U1-U0) * t/t1, and wherein U0 is initiation of charge voltage, and U1 is
The constant voltage of constant voltage charging phase;If t1 < t < T, it is in constant voltage charging phase, then charging voltage U=U1, charging current can roots
The attenuation curve that approximation or utilization index curve approximation substitution electric current are obtained according to charging curve, substitutes into after obtaining expression formula
To the charging current of t moment.
Step 3.2: the charging after obtaining charging voltage U and charging current I at this time by user terminal, with charging pile terminal
Parameter compares, if charging voltage is U ', charging current I ' in the feedback data that charging pile terminal obtains, threshold epsilon is arranged1
And ε2, it can be set according to voltage and current fluctuation situation when charging normal, if | U '-U | < ε1And | I '-I | < ε2, then charging voltage
There is reasonability with charging current data;If | U '-U | > ε1, then charging voltage data may be maliciously tampered, and need to repeat
Step 3.1 and step 3.2 are verified, if | I '-I | > ε2, then charging current data may be maliciously tampered, and need to repeat
Step 3.1 and step 3.2 are verified.If not knowing its reasonability after multiple authentication still, data source holding is not believed
Appoint.
Step 3.3: the electricity of this time charging consuming is calculated in electricity consumption electricity price when by the user terminal charging electricity charge and charging
It can W;
Step 3.4: obtain charging pile charging process in charge power and time data, by charge power about the time into
Row integral obtains the power output W ' of charging pile, and threshold epsilon is arranged3, it can be set according to history charge data, if | W '-W | < ε3,
Then charge power data have reasonability, if | W '-W | > ε3, then charge power data may be maliciously tampered, and need to repeat
Step 3.3 and step 3.4 are verified;If not knowing its reasonability after multiple authentication still, data source holding is not believed
Appoint.
Step 3.5: when charging pile no user is charged, charging pile charging output power and charging current should be 0, no
Then, charging pile charging output power may be maliciously tampered with charging current, cope with the data source and keep distrusting.
Above-mentioned steps 3 are analyzed some charging pile charging process, calculate cost and communications cost to reduce,
Charging pile progress analysis detection can be randomly choosed in all charging piles can trust if not detecting malicious attack
The data that charging pile terminal returns, and power grid distribution is effectively adjusted according to the data;If detecting malicious attack,
Corresponding data source is kept distrusting, adjustment power grid ignores the partial data when distributing, and exports the data source equipment.
The beneficial effects of the present invention are:
The present invention is directed to the security hidden trouble of electric automobile charging pile monitoring system communication links, when proposing that one kind is based on
The charging pile for electric vehicle service logic consistency analysis method of sequence logic, this method can effectively defend to distort charging pile and feed back to fill
The malicious attack of electrical parameter.It is multi-modal by the charge information progress for feeding back charge parameter and users' mobile end feedback to charging pile
Data aggregate analysis, and can be by multiple data origin verify data reliability, this method, which can monitor feedback data, whether there is
A possibility that being tampered exports monitoring result, abnormal if it exists, then output abnormality equipment and abnormal index simultaneously.
Detailed description of the invention
Fig. 1 is charging pile for electric vehicle charging curve schematic diagram;
Fig. 2 is electric automobile charging pile monitoring system;
Fig. 3 is the charging pile for electric vehicle service logic consistency analysis flow chart based on sequential logic.
Specific embodiment
The method of the present invention is described further with reference to the accompanying drawing.
Charging pile for electric vehicle service logic consistency analysis method based on sequential logic of the invention, as shown in figure 3, tool
Body is as follows:
Step 1: data acquisition being carried out to charging pile for electric vehicle terminal and users' mobile end data, the acquisition of charging pile terminal is filled
Electric stake number, time and charge parameter, charge parameter includes voltage, electric current and power parameter, when users' mobile end obtains charging
Between, connection charging pile number, charging expense;The real-time electricity consumption electricity price of charging pile is obtained from database;
Step 2: the data of each index of acquisition are pre-processed, concrete mode is as follows:
Step 2.1: the data of all same physical meanings being converted into the numerical value under uniform units, such as 20 when time 12
15 stopwatches are divided to be shown as 122015, voltage is all shown as being in V, and electric current is expressed as unit of A, and power is expressed as with kW
For unit, the time is as unit of hour h;
Step 2.2: preliminary reasonability judgement, including non-empty and numerical value reasonability, non-empty, that is, parameter values are carried out to data
It cannot be sky, the numerical value reasonability i.e. index value size should reject obvious abnormal data in the reasonable scope.
Step 3: according to the service period and service logic of charging pile, to the multi-modal number of charging pile terminal and user terminal
According to processing is associated, the charging pile charging process analysis of a certain number is specifically included:
Step 3.1: the time t0 and current time t started to charge by user terminal judges present charge state;If t0
=0, electric car constant-current charge process is 0-t1, constant voltage charging phase t1-T, if t < t1, is in constant-current charging phase, then
Charging current I should be constant current I0, charging voltage U=U0+ (U1-U0) * t/t1, and wherein U0 is initiation of charge voltage, and U1 is
The constant voltage of constant voltage charging phase;If t1 < t < T, it is in constant voltage charging phase, then charging voltage U=U1, charging current can roots
The attenuation curve that approximation or utilization index curve approximation substitution electric current are obtained according to charging curve, substitutes into after obtaining expression formula
To the charging current of t moment.
Step 3.2: the charging after obtaining charging voltage U and charging current I at this time by user terminal, with charging pile terminal
Parameter compares, if charging voltage is U ', charging current I ' in the feedback data that charging pile terminal obtains, threshold epsilon is arranged1
And ε2, it can be set according to voltage and current fluctuation situation when charging normal, if | U '-U | < ε1And | I '-I | < ε2, then charging voltage
There is reasonability with charging current data;If | U '-U | > ε1, then charging voltage data may be maliciously tampered, and need to repeat
Step 3.1 and step 3.2 are verified, if | I '-I | > ε2, then charging current data may be maliciously tampered, and need to repeat
Step 3.1 and step 3.2 are verified.If not knowing its reasonability after multiple authentication still, data source holding is not believed
Appoint.
Step 3.3: the electricity of this time charging consuming is calculated in electricity consumption electricity price when by the user terminal charging electricity charge and charging
It can W;
Step 3.4: obtain charging pile charging process in charge power and time data, by charge power about the time into
Row integral obtains the power output W ' of charging pile, and threshold epsilon is arranged3, it can be set according to history charge data, if | W '-W | < ε3,
Then charge power data have reasonability, if | W '-W | > ε3, then charge power data may be maliciously tampered, and need to repeat
Step 3.3 and step 3.4 are verified;If not knowing its reasonability after multiple authentication still, data source holding is not believed
Appoint.
Step 3.5: when charging pile no user is charged, charging pile charging output power and charging current should be 0, no
Then, charging pile charging output power may be maliciously tampered with charging current, cope with the data source and keep distrusting.
Above-mentioned steps 3 are analyzed some charging pile charging process, calculate cost and communications cost to reduce,
Charging pile progress analysis detection can be randomly choosed in all charging piles can trust if not detecting malicious attack
The data that charging pile terminal returns, and power grid distribution is effectively adjusted according to the data;If detecting malicious attack,
Corresponding data source is kept distrusting, adjustment power grid ignores the partial data when distributing, and exports the data source equipment.
Claims (4)
1. a kind of charging pile for electric vehicle service logic consistency analysis method based on sequential logic, which is characterized in that this method
It is that sequential correlation is carried out to charging pile feedback data and users' mobile end feedback data, joint verification is carried out to multi-modal data,
To judge whether data exception caused by there is hacker attacks, the business to charging pile monitoring system based on sequential logic is realized
Logical consistency safety detection;It is specific as follows:
Step 1: data acquisition is carried out to charging pile for electric vehicle terminal and users' mobile end data;
Step 2: the data of each index of acquisition are pre-processed, concrete mode is as follows:
Step 2.1: the data of all same physical meanings are converted to the numerical value under uniform units;
Step 2.2: preliminary reasonability judgement, including non-empty and numerical value reasonability being carried out to data, non-empty, that is, parameter values cannot
For sky, the numerical value reasonability i.e. index value size should reject obvious abnormal data in the reasonable scope;
Step 3: according to the service period and service logic of charging pile, to the multi-modal data of charging pile terminal and user terminal into
Row association process specifically includes the charging pile charging process analysis of a certain number:
Step 3.1: the time t0 and current time t started to charge by user terminal judges present charge state;
Step 3.2: the charge parameter after obtaining charging voltage U and charging current I at this time by user terminal, with charging pile terminal
It compares, if charging voltage is U ', charging current I ' in the feedback data that charging pile terminal obtains, threshold epsilon is set1And ε2,
If | U '-U | < ε1And | I '-I | < ε2, then charging voltage and charging current data have reasonability;If | U '-U | > ε1, then charge electricity
Pressure data may be maliciously tampered, and need to repeat step 3.1 and step 3.2 is verified, if | I '-I | > ε2, then charge electricity
Flow data may be maliciously tampered, and need to repeat step 3.1 and step 3.2 is verified;If still uncertain after multiple authentication
Its reasonability then keeps distrusting to the data source;
Step 3.3: the electric energy W of this time charging consuming is calculated in electricity consumption electricity price when by the user terminal charging electricity charge and charging;
Step 3.4: obtaining the charge power and time data in charging pile charging process, charge power is accumulated about the time
Get the power output W ' of charging pile, threshold epsilon is set3If | W '-W | < ε3, then charge power data have reasonability, if |
W’-W|>ε3, then charge power data may be maliciously tampered, and need to repeat step 3.3 and step 3.4 is verified;If more
Its reasonability is not known after secondary verifying still, then the data source is kept distrusting;
Step 3.5: when charging pile no user is charged, charging pile charging output power and charging current should be 0, otherwise,
Charging pile charging output power may be maliciously tampered with charging current, cope with the data source and keep distrusting.
2. the charging pile for electric vehicle service logic consistency analysis method according to claim 1 based on sequential logic,
It being characterized in that, the data acquired in the step 1 include: that charging pile terminal obtains charging pile number, time and charge parameter,
Charge parameter includes voltage, electric current and power parameter, and users' mobile end obtains charging time, the charging pile number of connection, charging
Expense;The real-time electricity consumption electricity price of charging pile is obtained from database.
3. the charging pile for electric vehicle service logic consistency analysis method according to claim 1 based on sequential logic,
It is characterized in that, specific judgment method is as follows in step 3.1:
If t0=0, electric car constant-current charge process is 0-t1, constant voltage charging phase t1-T, if t < t1, is in constant-current charge
Stage, then charging current I should be constant current I0, charging voltage U=U0+ (U1-U0) * t/t1, and wherein U0 is initiation of charge electricity
Pressure, U1 are the constant voltage of constant voltage charging phase;If t1 < t < T, it is in constant voltage charging phase, then charging voltage U=U1, charging
Electric current can obtain the attenuation curve of approximation or utilization index curve approximation substitution electric current according to charging curve, obtain expression formula
The charging current of t moment is obtained afterwards.
4. the charging pile for electric vehicle service logic consistency analysis method according to claim 1 based on sequential logic,
It is characterized in that, analysis detection of the charging pile progress as described in step 3 can be randomly choosed in all charging piles, if not detecting
To malicious attack, then the data of charging pile terminal return can be trusted, and effectively adjusted to power grid distribution according to the data
It is whole;If detecting malicious attack, corresponding data source being kept distrusting, adjustment power grid ignores the partial data when distributing,
And export the data source equipment.
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CN111049830A (en) * | 2019-12-13 | 2020-04-21 | 重庆国翰能源发展有限公司 | Data information leakage prevention method for charging pile |
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CN113541317A (en) * | 2021-07-26 | 2021-10-22 | 国网吉林省电力有限公司 | Real-time remote monitoring method for mass charging piles |
CN117096877A (en) * | 2023-10-19 | 2023-11-21 | 国网山西省电力公司营销服务中心 | Multi-view-based regional dynamic electricity-carbon data electricity analysis method and system |
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