CN116853055B - Charging station group control system and control method based on cloud platform - Google Patents
Charging station group control system and control method based on cloud platform Download PDFInfo
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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
- B60L53/62—Monitoring or controlling charging stations in response to charging parameters, e.g. current, voltage or electrical charge
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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
- B60L2260/00—Operating Modes
- B60L2260/40—Control modes
- B60L2260/44—Control modes by parameter estimation
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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
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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
- Y02T10/7072—Electromobility specific charging systems or methods for batteries, ultracapacitors, supercapacitors or double-layer capacitors
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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
- 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
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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
- 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
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Abstract
The invention discloses a charging station group control system and a control method based on a cloud platform, which relate to the technical field of charging station group control and solve the problems that only the originally set parameters are adopted for charging, the overall charging efficiency of the whole group control is influenced, the electric fluctuation of partial charging ports is caused, and the electric numerical value is influenced.
Description
Technical Field
The invention relates to the technical field of charging station group control, in particular to a charging station group control system and a charging station group control method based on a cloud platform.
Background
The charging station is a novel environment-friendly charger, and can be used for rapidly charging electric vehicles, mobile phones and the like.
The embodiment of the invention with the patent publication number of CN110126666B provides a charging station group control system and a control method based on a cloud platform, wherein the control method of a charging station comprises the following steps: the charging station background control comprises three parts, namely a charging station background control part, a flexible charging pile part and a charging pile part, wherein the charging station background control part adopts a grid selection method to carry out charging scheduling on the charging station; the flexible charging pile dynamically distributes power in the charging station; the charging pile completes charging and man-machine interaction of the electric automobile; the charging station group control system includes: the charging station comprises a power supply and distribution module, a monitoring module, a charging module and a charging station management platform; the charging module consists of a charging background control unit, a flexible charging pile unit and a charging pile unit, and the embodiment of the invention provides a cloud platform-based charging station group control system and a control method.
The traditional charging mode is a sufficient distribution battery, a plurality of charging piles are connected below the distribution battery, and one charging pile is connected with one charging potential; the group control is to integrate charging from a high-voltage power distribution cabinet to a transformer to low-voltage power distribution to PD0 and the like, and only one charging plug is needed on site.
If the electric automobile charges in the electricity utilization peak period, the superimposed pressure is generated on the power grid, the power grid possibly exceeds the load, but the original charging mode only adopts the original set parameters to charge, so that the overall charging efficiency of the whole group control is affected, the power fluctuation of part of charging ports is caused, and the power value is affected.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides a charging station group control system and a control method based on a cloud platform, which solve the problems that the whole charging efficiency of the whole group control is affected and the electric power value is affected due to the fact that the electric power fluctuation of a part of charging ports is caused by charging by only adopting originally set parameters.
In order to achieve the above purpose, the invention is realized by the following technical scheme: a cloud platform-based charging station group control system, comprising:
the charging end monitoring unit monitors the number of the charging ports in different areas and transmits the monitored number of the charging ports to the group control management system;
the starting unit in the group control management system confirms the monitored use number, directly generates a starting signal when the use number is more than or equal to 2, and transmits the generated starting signal into the waveform construction unit;
the waveform construction unit defines a group of monitoring periods, confirms the charging parameters of a plurality of different charging ports in the area, and constructs the charging waveforms of the different charging ports according to the time trend and the charging parameters, and the specific mode is as follows:
defining a group of monitoring periods T, wherein T is a preset value, confirming charging parameters of different charging ports at different time points, taking a time line as a transverse coordinate axis, taking the charging parameters as a vertical coordinate axis, and constructing a two-dimensional coordinate system;
filling charging parameters of different time points into the two-dimensional coordinate system corresponding to different two-dimensional coordinate systems, constructing corresponding charging waveform diagrams, marking the charging waveform diagrams of different charging ports by adopting distinguishing marks, and transmitting the charging waveform diagrams after marking to the adaptation parameter confirmation unit;
the adaptive parameter confirmation unit is used for receiving the marked charging waveform diagram, confirming the standard charging index from different charging waveform diagrams in the marked charging waveform diagram, and transmitting a plurality of confirmed groups of adaptive charging indexes into the control unit, wherein the specific mode is as follows:
from the marked groups of charging waveform diagrams, confirming trend values among different points in each group of charging waveform diagrams, and marking the trend values as K i Wherein i represents different trend values;
by H t =K i -K i-1 Obtaining the difference H between different trend values t Wherein t represents different differences and i.gtoreq.2, the difference H t Comparing with a preset value Y1, wherein Y1 is a preset value, when H t When Y1 is less than or equal to, the corresponding waveform section is marked as a stable section, otherwise, no treatment is carried out;
in a plurality of groups of stable segments of the same charging waveform diagram, a group of stable segments with the maximum length value is confirmed, and a plurality of groups of adaptive charging indexes appearing in the stable segments are subjected to mean value processing to obtain the standard charging indexes of the charging waveform diagram;
then adopting the same mode to confirm the standard charging indexes of other charging waveform diagrams and transmitting the standard charging indexes into the control unit;
the control unit selects the minimum value from a plurality of groups of standard charging indexes according to the standard charging indexes of the confirmed charging waveform chart, takes the selected minimum value as a control parameter, and takes the confirmed control parameter as the working parameter of the total charging port;
the real-time adjusting unit is used for adjusting the working parameters confirmed in the control unit in real time, wherein the adjusted range is set with a corresponding floating value, the floating value is +F, and F is a preset value;
the waveform monitoring unit is used for monitoring the charging parameters generated by each different charging object below the total charging port in real time, constructing charging waveforms belonging to different charging objects according to the charging parameters monitored in real time, and transmitting the constructed charging waveforms into the self-adaptive analysis unit.
The self-adaptive analysis unit monitors a plurality of groups of charging waveforms, confirms the optimal minimum value and maximum value of the charging parameters according to the specific trend of the plurality of charging waveforms, and transmits the confirmed minimum value and maximum value of the charging parameters to the standard interval confirmation unit, wherein the specific mode is as follows:
confirming a plurality of groups of charging waveforms, confirming ascending stages and descending stages in the charging waveforms, performing identification processing, and performing next processing after the plurality of groups of charging waveforms are processed;
confirming waveform segments in the ascending phase at the same time phase from among a plurality of groups of charging waveforms, confirming end point values of two end points of the waveform segments from among the confirmed waveform segments, and confirming minimum charging parameter values and maximum charging parameter values from among the two end point values;
and transmitting the confirmed minimum value and maximum value of the charging parameters to the standard interval confirmation unit.
Preferably, the standard interval confirmation unit constructs a standard interval according to the confirmed minimum value and maximum value of the charging parameters, directly transmits the standard interval to the control unit, and the control unit randomly adopts the corresponding charging parameters in the standard interval to charge according to the standard interval, and simultaneously transmits the standard interval to the external display unit to directly display.
Preferably, a control method of a charging station group control system based on a cloud platform comprises the following steps:
step one, monitoring the number of charging ports in different areas, and directly generating a starting signal when the number of the charging ports is more than or equal to 2;
step two, confirming charging parameters of a plurality of different charging ports in the area according to the starting signal, constructing charging waveforms of the different charging ports according to the time trend and the charging parameters, and transmitting the constructed charging waveforms into the adaptive parameter confirming unit;
step three, receiving the marked charging waveform diagram, and confirming the standard charging index from different charging waveform diagrams in the marked charging waveform diagram;
selecting the minimum value from a plurality of groups of standard charging indexes according to the standard charging indexes of the confirmed charging waveform chart, taking the selected minimum value as a control parameter, and taking the confirmed control parameter as the working parameter of the total charging port;
fifthly, real-time adjustment is carried out on the working parameters confirmed in the control unit, real-time monitoring is carried out on the charging parameters generated by each different charging object below the total charging port, and charging waveforms belonging to different charging objects are constructed according to the charging parameters monitored in real time;
step six, monitoring a plurality of groups of charging waveforms, confirming the optimal minimum value and maximum value of the charging parameters according to the specific trend of the plurality of charging waveforms, transmitting the confirmed minimum value and maximum value of the charging parameters to a standard interval confirming unit, and randomly adopting the corresponding charging parameters in the standard interval to charge by the control unit according to the standard interval.
Advantageous effects
The invention provides a charging station group control system and a charging station group control method based on a cloud platform. Compared with the prior art, the method has the following beneficial effects:
according to the invention, charging waveforms of different charging ports are constructed according to time trend and charging parameters, standard charging indexes are confirmed from different charging waveform diagrams, then a minimum value is selected, the selected minimum value is taken as a control parameter, the confirmed working parameters in a control unit are adjusted in real time, the charging parameters generated by each different charging object below the total charging port are monitored in real time, and charging waveforms belonging to different charging objects are constructed according to the charging parameters monitored in real time; monitoring a plurality of groups of charging waveforms, confirming the optimal minimum value and the maximum value of the charging parameters according to the specific trend of the plurality of charging waveforms, transmitting the confirmed minimum value and maximum value of the charging parameters into a standard interval confirming unit, and randomly adopting corresponding charging parameters in the standard interval to charge according to the standard interval by a control unit.
Drawings
Fig. 1 is a schematic diagram of a principle frame of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Example 1
Referring to fig. 1, the present application provides a charging station group control system based on a cloud platform, which includes a charging end monitoring unit, a group control management system and a display unit, wherein the charging station monitoring unit is electrically connected with an input end of the group control management system, and the group control management system is electrically connected with an input end of the display unit;
the group control management system comprises a starting unit, a waveform construction unit, an adaptive parameter confirmation unit, a control unit, a waveform monitoring unit, a real-time adjustment unit, an adaptive analysis unit and a standard interval confirmation unit, wherein the starting unit is electrically connected with the input end of the waveform construction unit, the waveform construction unit is electrically connected with the input end of the adaptive parameter confirmation unit, the adaptive parameter confirmation unit is electrically connected with the input end of the control unit, the output ends of the control unit, the waveform monitoring unit, the adaptive analysis unit and the standard interval confirmation unit are sequentially and electrically connected with the input end of the control unit, the output end of the adaptive analysis unit is electrically connected with the input end of the real-time adjustment unit, the real-time adjustment unit is in bidirectional connection with the control unit, and the standard interval confirmation unit is electrically connected with the input end of the display unit;
the charging end monitoring unit monitors the number of the charging ports in different areas and transmits the monitored number of the charging ports to the group control management system;
the method comprises the steps that a starting unit in the group control management system confirms the monitored use number, when the use number is more than or equal to 2, a starting signal is directly generated, and the generated starting signal is transmitted to a waveform building unit, and specifically, the method aims to solve the group control problem, when the use number of charging ports is single, group control processing is not needed, and when the corresponding use number is more than or equal to 2, group control processing can be carried out, and group control management is carried out at the same time;
the waveform construction unit defines a group of monitoring periods, confirms charging parameters of a plurality of different charging ports in the area, constructs charging waveforms of the different charging ports according to time trend and the charging parameters, and transmits the constructed charging waveforms to the adaptive parameter confirmation unit, wherein the specific mode for constructing the charging waveforms is as follows:
defining a group of monitoring periods T, wherein T is a preset value, the specific value of the monitoring periods T is determined by an operator according to experience, the value of T is generally 5min, charging parameters of different charging ports at different time points are confirmed, a time line is used as a transverse coordinate axis, the charging parameters are used as a vertical coordinate axis, and a two-dimensional coordinate system is constructed;
and filling charging parameters of different time points into the two-dimensional coordinate system corresponding to different two-dimensional coordinate systems by different charging ports, constructing corresponding charging waveform diagrams, marking the charging waveform diagrams of different charging ports by adopting distinguishing marks, and transmitting the charging waveform diagrams after marking to the adaptation parameter confirmation unit.
The adaptive parameter confirmation unit is used for receiving the marked charging waveform diagram, confirming the standard charging index from different charging waveform diagrams in the marked charging waveform diagram, and transmitting a plurality of confirmed groups of adaptive charging indexes into the control unit, wherein the specific mode for confirming the standard charging index is as follows:
from the marked groups of charging waveform diagrams, confirming trend values among different points in each group of charging waveform diagrams, and marking the trend values as K i Wherein i represents different trend values;
by H t =K i -K i-1 Obtaining the difference H between different trend values t Wherein t represents different differences and i.gtoreq.2, the difference H t Comparing with a preset value Y1, wherein Y1 is a preset value, the specific value is determined by an operator according to experience, and when H t When Y1 is less than or equal to, the corresponding waveform section is marked as a stable section, otherwise, no treatment is carried out;
in a plurality of groups of stable segments of the same charging waveform diagram, a group of stable segments with the maximum length value is confirmed, and a plurality of groups of adaptive charging indexes appearing in the stable segments are subjected to mean value processing to obtain the standard charging indexes of the charging waveform diagram;
and then, in the same way, the standard charging indexes of other charging waveform diagrams are confirmed and transmitted into the control unit.
Specifically, in a set of charging waveform diagrams, some waveform sections are fluctuated, some waveform sections are stable, the waveform in a stable state can be confirmed by analyzing trend values, and is calibrated into the stable section, and then the most suitable charging parameters are obtained according to the charging parameters confirmed by the stable section.
The control unit selects the minimum value from a plurality of groups of standard charging indexes according to the standard charging indexes of the confirmed charging waveform chart, takes the selected minimum value as a control parameter, takes the confirmed control parameter as the working parameter of the total charging port, directly replaces the plug-in unit, uses the same total charging port for charging, completely pauses the plurality of charging ports for use, uses the uniform total charging port for charging, and the working parameter of the total charging port is the confirmed control parameter;
specifically, in order to realize the group control effect, in the prior art, a mode of a total charging port is generally directly adopted for charging, and data analysis is not performed, so that part of charging ports cannot reach the charging requirement, and the charging efficiency is influenced;
the real-time adjusting unit is used for adjusting the working parameters confirmed in the control unit in real time, wherein the adjusted range is set with a corresponding floating value, the floating value is +F, F is a preset value, and the specific value is drawn up by an operator according to experience;
the waveform monitoring unit is used for monitoring the charging parameters generated by each different charging object below the total charging port in real time, constructing charging waveforms belonging to different charging objects according to the charging parameters monitored in real time, and transmitting the constructed charging waveforms into the self-adaptive analysis unit.
The self-adaptive analysis unit monitors a plurality of groups of charging waveforms, confirms the optimal minimum value and maximum value of the charging parameters according to the specific trend of the plurality of charging waveforms, and transmits the confirmed minimum value and maximum value of the charging parameters to the standard interval confirmation unit, wherein the specific mode for confirmation is as follows:
confirming a plurality of groups of charging waveforms, confirming ascending stages and descending stages in the charging waveforms, performing identification processing, and performing next processing after the plurality of groups of charging waveforms are processed;
confirming waveform segments in the rising phase at the same time phase from among a plurality of groups of charging waveforms, confirming end point values of two end points of the waveform segments from among the confirmed waveform segments, and confirming minimum value and maximum value of charging parameters from among the two end point values, wherein, specifically, assuming that two groups of waveforms exist, three groups of time points exist respectively: 0-2,2-4 and 4-6, the trend phase of the first waveform at three time points is: rising, falling and rising, wherein the trend phase of the second waveform at three time points is as follows: the time point of descending, descending and ascending is 4-6, then the waveform segments at the time point are extracted, and a plurality of groups of waveform segments can be also existed, and the waveform segment with the maximum endpoint value can be directly extracted, thus confirming that the waveforms are all in the same time stage of ascending;
and transmitting the confirmed minimum value and maximum value of the charging parameters to the standard interval confirmation unit.
The standard interval confirming unit constructs a standard interval according to the confirmed minimum value and maximum value of the charging parameters, and directly transmits the standard interval to the control unit, and the control unit randomly adopts the corresponding charging parameters in the standard interval to charge according to the standard interval, and simultaneously transmits the standard interval to the external display unit for direct display.
Example two
A control method of a charging station group control system based on a cloud platform comprises the following steps:
step one, monitoring the number of charging ports in different areas, and directly generating a starting signal when the number of the charging ports is more than or equal to 2;
step two, confirming charging parameters of a plurality of different charging ports in the area according to the starting signal, constructing charging waveforms of the different charging ports according to the time trend and the charging parameters, and transmitting the constructed charging waveforms into the adaptive parameter confirming unit;
step three, receiving the marked charging waveform diagram, and confirming the standard charging index from different charging waveform diagrams in the marked charging waveform diagram;
selecting the minimum value from a plurality of groups of standard charging indexes according to the standard charging indexes of the confirmed charging waveform chart, taking the selected minimum value as a control parameter, and taking the confirmed control parameter as the working parameter of the total charging port;
fifthly, real-time adjustment is carried out on the working parameters confirmed in the control unit, real-time monitoring is carried out on the charging parameters generated by each different charging object below the total charging port, and charging waveforms belonging to different charging objects are constructed according to the charging parameters monitored in real time;
step six, monitoring a plurality of groups of charging waveforms, confirming the optimal minimum value and maximum value of the charging parameters according to the specific trend of the plurality of charging waveforms, transmitting the confirmed minimum value and maximum value of the charging parameters into a standard interval confirming unit, and randomly adopting the corresponding charging parameters in the standard interval to charge by the control unit according to the standard interval.
Some of the data in the above formulas are numerical calculated by removing their dimensionality, and the contents not described in detail in the present specification are all well known in the prior art.
The above embodiments are only for illustrating the technical method of the present invention and not for limiting the same, and it should be understood by those skilled in the art that the technical method of the present invention may be modified or substituted without departing from the spirit and scope of the technical method of the present invention.
Claims (6)
1. A cloud platform-based charging station group control system, comprising:
the charging end monitoring unit monitors the number of the charging ports in different areas and transmits the monitored number of the charging ports to the group control management system;
the starting unit in the group control management system confirms the monitored use number, directly generates a starting signal when the use number is more than or equal to 2, and transmits the generated starting signal into the waveform construction unit;
the waveform construction unit is used for limiting a group of monitoring periods, confirming the charging parameters of a plurality of different charging ports in the area, constructing charging waveforms of the different charging ports according to the time trend and the charging parameters, and transmitting the constructed charging waveforms into the adaptive parameter confirmation unit;
the adaptive parameter confirmation unit is used for receiving the marked charging waveform diagram, confirming the standard charging indexes from different charging waveform diagrams in the marked charging waveform diagram, and transmitting the confirmed groups of adaptive charging indexes into the control unit;
the control unit selects the minimum value from a plurality of groups of standard charging indexes according to the standard charging indexes of the confirmed charging waveform chart, takes the selected minimum value as a control parameter, and takes the confirmed control parameter as the working parameter of the total charging port;
the real-time adjusting unit is used for adjusting the working parameters confirmed in the control unit in real time, wherein the adjusted range is set with a corresponding floating value, the floating value is +F, and F is a preset value;
the waveform monitoring unit is used for monitoring the charging parameters generated by each different charging object below the total charging port in real time, constructing charging waveforms belonging to different charging objects according to the charging parameters monitored in real time, and transmitting the constructed charging waveforms into the self-adaptive analysis unit;
the self-adaptive analysis unit monitors a plurality of groups of charging waveforms, confirms the optimal minimum value and maximum value of the charging parameters according to the specific trend of the plurality of charging waveforms, and transmits the confirmed minimum value and maximum value of the charging parameters to the standard interval confirmation unit.
2. The cloud platform-based charging station group control system according to claim 1, wherein the waveform construction unit constructs the charging waveform in the following specific manner:
defining a group of monitoring periods T, wherein T is a preset value, confirming charging parameters of different charging ports at different time points, taking a time line as a transverse coordinate axis, taking the charging parameters as a vertical coordinate axis, and constructing a two-dimensional coordinate system;
and filling charging parameters of different time points into the two-dimensional coordinate system corresponding to different two-dimensional coordinate systems by different charging ports, constructing corresponding charging waveform diagrams, marking the charging waveform diagrams of different charging ports by adopting distinguishing marks, and transmitting the charging waveform diagrams after marking to the adaptation parameter confirmation unit.
3. The cloud platform-based charging station group control system according to claim 2, wherein the adapting parameter confirmation unit confirms the standard charging index in the following specific manner:
from the marked groups of charging waveform diagrams, confirming trend values among different points in each group of charging waveform diagrams, and marking the trend values as K i Wherein i represents different trend values;
by H t =K i -K i-1 Obtaining the difference H between different trend values t Wherein t represents different differences and i.gtoreq.2, the difference H t Comparing with a preset value Y1, wherein Y1 is a preset value, when H t When Y1 is less than or equal to, the corresponding waveform section is marked as a stable section, otherwise, no treatment is carried out;
in a plurality of groups of stable segments of the same charging waveform diagram, a group of stable segments with the maximum length value is confirmed, and a plurality of groups of adaptive charging indexes appearing in the stable segments are subjected to mean value processing to obtain the standard charging indexes of the charging waveform diagram;
and then, in the same way, the standard charging indexes of other charging waveform diagrams are confirmed and transmitted into the control unit.
4. The cloud platform-based charging station group control system according to claim 3, wherein the specific manner of determining the optimal minimum value and maximum value of the charging parameters by the adaptive analysis unit is as follows:
confirming a plurality of groups of charging waveforms, confirming ascending stages and descending stages in the charging waveforms, performing identification processing, and performing next processing after the plurality of groups of charging waveforms are processed;
confirming waveform segments in the ascending phase at the same time phase from among a plurality of groups of charging waveforms, confirming end point values of two end points of the waveform segments from among the confirmed waveform segments, and confirming minimum charging parameter values and maximum charging parameter values from among the two end point values;
and transmitting the confirmed minimum value and maximum value of the charging parameters to the standard interval confirmation unit.
5. The charging station group control system based on the cloud platform as claimed in claim 1, wherein the standard interval confirmation unit constructs a standard interval according to the confirmed minimum value and maximum value of the charging parameters, directly transmits the standard interval to the control unit, and the control unit randomly adopts the corresponding charging parameters in the standard interval to charge according to the standard interval, and simultaneously transmits the standard interval to the external display unit for direct display.
6. The control method of a cloud platform-based charging station group control system according to any one of claims 1 to 5, comprising the steps of:
step one, monitoring the number of charging ports in different areas, and directly generating a starting signal when the number of the charging ports is more than or equal to 2;
step two, confirming charging parameters of a plurality of different charging ports in the area according to the starting signal, constructing charging waveforms of the different charging ports according to the time trend and the charging parameters, and transmitting the constructed charging waveforms into the adaptive parameter confirming unit;
step three, receiving the marked charging waveform diagram, and confirming the standard charging index from different charging waveform diagrams in the marked charging waveform diagram;
selecting the minimum value from a plurality of groups of standard charging indexes according to the standard charging indexes of the confirmed charging waveform chart, taking the selected minimum value as a control parameter, and taking the confirmed control parameter as the working parameter of the total charging port;
fifthly, real-time adjustment is carried out on the working parameters confirmed in the control unit, real-time monitoring is carried out on the charging parameters generated by each different charging object below the total charging port, and charging waveforms belonging to different charging objects are constructed according to the charging parameters monitored in real time;
step six, monitoring a plurality of groups of charging waveforms, confirming the optimal minimum value and maximum value of the charging parameters according to the specific trend of the plurality of charging waveforms, transmitting the confirmed minimum value and maximum value of the charging parameters to a standard interval confirming unit, and randomly adopting the corresponding charging parameters in the standard interval to charge by the control unit according to the standard interval.
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Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110126666A (en) * | 2019-04-19 | 2019-08-16 | 武汉新能源汽车工业技术研究院有限公司 | A kind of charging station group control system and control method based on cloud platform |
CN111152681A (en) * | 2020-02-28 | 2020-05-15 | 重庆国翰能源发展有限公司 | Charging pile based on electric automobile charging cluster and server |
CN112147440A (en) * | 2020-09-18 | 2020-12-29 | 吉递(中国)能源科技有限公司 | Abnormal sensing and autonomous alarm system and method for intelligent charging socket |
KR20220032346A (en) * | 2020-09-07 | 2022-03-15 | (주)아이티공간 | Method for detecting the health index of a device through a cumulative waveform |
CN114498843A (en) * | 2022-02-07 | 2022-05-13 | 西安优储新能源科技有限公司 | Charging power adjustment method for distributed charging equipment group under user side power grid |
WO2022226866A1 (en) * | 2021-04-29 | 2022-11-03 | 浙江吉利控股集团有限公司 | Power control method for charging station, power control apparatus, and system |
CN116300835A (en) * | 2023-05-19 | 2023-06-23 | 深圳市磐锋精密技术有限公司 | Automatic detection equipment remote diagnosis system based on Internet |
Family Cites Families (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
TWI769685B (en) * | 2021-01-29 | 2022-07-01 | 拓連科技股份有限公司 | Charging management methods and systems for electric vehicle charging stations |
-
2023
- 2023-07-17 CN CN202310872653.8A patent/CN116853055B/en active Active
Patent Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110126666A (en) * | 2019-04-19 | 2019-08-16 | 武汉新能源汽车工业技术研究院有限公司 | A kind of charging station group control system and control method based on cloud platform |
CN111152681A (en) * | 2020-02-28 | 2020-05-15 | 重庆国翰能源发展有限公司 | Charging pile based on electric automobile charging cluster and server |
KR20220032346A (en) * | 2020-09-07 | 2022-03-15 | (주)아이티공간 | Method for detecting the health index of a device through a cumulative waveform |
CN112147440A (en) * | 2020-09-18 | 2020-12-29 | 吉递(中国)能源科技有限公司 | Abnormal sensing and autonomous alarm system and method for intelligent charging socket |
WO2022226866A1 (en) * | 2021-04-29 | 2022-11-03 | 浙江吉利控股集团有限公司 | Power control method for charging station, power control apparatus, and system |
CN114498843A (en) * | 2022-02-07 | 2022-05-13 | 西安优储新能源科技有限公司 | Charging power adjustment method for distributed charging equipment group under user side power grid |
CN116300835A (en) * | 2023-05-19 | 2023-06-23 | 深圳市磐锋精密技术有限公司 | Automatic detection equipment remote diagnosis system based on Internet |
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