CN114132203B - Charging pile control system based on intelligent temperature and humidity adjustment - Google Patents
Charging pile control system based on intelligent temperature and humidity adjustment Download PDFInfo
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- 238000013499 data model Methods 0.000 claims abstract description 7
- 238000003062 neural network model Methods 0.000 claims abstract description 6
- 238000005259 measurement Methods 0.000 claims description 22
- 238000004891 communication Methods 0.000 claims description 9
- 230000005856 abnormality Effects 0.000 claims description 7
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Classifications
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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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- 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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- Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Transportation (AREA)
- Mechanical Engineering (AREA)
- Charge And Discharge Circuits For Batteries Or The Like (AREA)
Abstract
The application discloses a charging pile control system based on intelligent temperature and humidity regulation, which comprises: the system comprises a power supply module, a power real-time data measuring unit, a processor module, a display module, an environment data detecting module and a power compensation module; the environment data detection module is used for acquiring temperature data and humidity data, and controlling the power compensation module to compensate the power supply module according to the compensation data model built in the processor module. The technical scheme provided by the self please have at least the following technical effects or advantages: the system can realize compensation according to the influence of the temperature and the humidity of different areas on the power supply efficiency in the actual use process, and adopts a neural network model mode to carry out the learning simulation of big data so as to improve the compensation precision in the actual use.
Description
Technical Field
The application relates to the technical field of power supply systems, in particular to a charging pile control system based on intelligent temperature and humidity adjustment.
Background
Along with the construction work of the charging automobiles which is strongly propelled by the present country, the popularization of the charging piles is in the process of continuously improving the distribution, but considering the wide range of operators in the national territory and the obvious climate difference, a charging system with self-adjustment is required for realizing the construction of the charging piles in a large area aiming at different temperature and humidity environments in different areas at present.
Disclosure of Invention
In order to solve the technical problems, the embodiment of the application provides a charging pile control system based on intelligent temperature and humidity adjustment.
The embodiment of the application provides a charging pile control system based on intelligent temperature and humidity adjustment, which can comprise the following steps:
the power supply module is used for charging Kong Gongdian of the charging pile;
the power supply real-time data measuring unit is connected with the power supply module in one way and acquires circuit data of the power supply real-time data measuring unit;
the processor module is used for carrying out secondary processing after acquiring the electric data of the power supply real-time data measurement unit;
the display module is connected with the processor module and used for displaying circuit data in the charging process and receiving an operation instruction;
the environment data detection module is used for detecting environment data inside and/or outside the charging pile box body and transmitting the data to the processor module;
the power compensation module is connected with the power supply module and the environment data detection module;
the environment data detection module is used for acquiring temperature data and humidity data, and controlling the power compensation module to compensate the power supply module according to the compensation data model built in the processor module.
Further, the power supply real-time data measurement unit comprises a voltage measurement module and a current measurement module which are mutually independently detected; the voltage measurement module is used for acquiring real-time voltage data in the charging process; the current measurement module is used for acquiring real-time current data in the charging process.
Further, a clock module is arranged in the processor module; the clock module is used for storing real-time clock data and forming a data stream taking a time axis as a coordinate with the data transmitted by the power supply real-time data measuring unit.
Further, the environment data detection module comprises a temperature detection module and a humidity detection module which are mutually independent to detect; the temperature detection module acquires temperature data inside and outside the charging pile, and the humidity detection module acquires humidity data inside and outside the charging pile;
the temperature detection module transmits the temperature data to the processor module according to the external temperature of the box body and the data content of the internal and external temperature difference of the box body;
the humidity detection module transmits the humidity in the box body and the data content of the humidity difference between the inside and the outside of the box body to the processor module.
Further, a modeling unit is arranged in the processor module and is used for receiving data transmitted by the temperature detection module, the humidity detection module and the power supply real-time data measurement unit; the modeling unit takes the temperature as target data, constructs current compensation models at different temperatures, and trains by utilizing the neural network model to form a compensation model; the modeling unit uses humidity as target data to construct a circuit abnormality control model under different humidity.
Further, the power supply compensation module comprises a current operation circuit and a compensation current generation circuit; the current operation circuit obtains current data in the current measurement module, converts an analog current signal into a digital signal, sends the digital signal into a high-speed digital signal processor to process the signal, separates harmonic waves from fundamental waves, sends driving pulses to the compensation current generation circuit in a pulse width modulation signal mode, drives the IGBT or IPM power module to generate compensation current with the same amplitude and opposite polarity as the harmonic current, compensates or counteracts the harmonic current, and eliminates electric power harmonic waves.
Further, the system further comprises:
the detection module is used for acquiring parameter information of the detected electric automobile and detecting the running state of the charging pile, and carrying out exception handling when the abnormal running condition of the charging pile is acquired;
the detection module is connected with the circuit abnormality control model in the modeling unit.
Further, a communication module is arranged in the charging pile; and the adjacent charging piles form data interaction through a communication module.
Further, under the interaction of the communication module, the data model in the modeling unit takes the preset area range as a unit to perform independent data modeling, and all model data are transmitted to the master control terminal.
Further, the charging posts are each provided with a unique FRID tag.
The technical scheme provided by the self please have at least the following technical effects or advantages: the system can realize compensation according to the influence of the temperature and the humidity of different areas on the power supply efficiency in the actual use process, and adopts a neural network model mode to carry out the learning simulation of big data so as to improve the compensation precision in the actual use.
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In order to more clearly illustrate the embodiments of the application or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the application, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a system block diagram provided in an embodiment of the present application.
Description of the embodiments
The following description of the embodiments of the present application will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are some, but not all embodiments of the application. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
It should be understood that the terms "comprises" and "comprising," when used in this specification and the appended claims, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
It is also to be understood that the terminology used in the description of the application herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. As used in this specification and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.
It should be further understood that the term "and/or" as used in the present specification and the appended claims refers to any and all possible combinations of one or more of the associated listed items, and includes such combinations.
As used in this specification and the appended claims, the term "if" may be interpreted as "when..once" or "in response to a determination" or "in response to detection" depending on the context. Similarly, the phrase "if a determination" or "if a [ described condition or event ] is detected" may be interpreted in the context of meaning "upon determination" or "in response to determination" or "upon detection of a [ described condition or event ]" or "in response to detection of a [ described condition or event ]".
The embodiment of the application provides a charging pile control system based on intelligent temperature and humidity adjustment. The power compensation module is connected with the power supply module and the environment data detection module; the environment data detection module is used for acquiring temperature data and humidity data, and controlling the power compensation module to compensate the power supply module according to the compensation data model built in the processor module. The power supply compensation module comprises a current operation circuit and a compensation current generation circuit; the current operation circuit obtains current data in the current measurement module, converts an analog current signal into a digital signal, sends the digital signal into a high-speed digital signal processor to process the signal, separates harmonic waves from fundamental waves, sends driving pulses to the compensation current generation circuit in a pulse width modulation signal mode, drives the IGBT or IPM power module to generate compensation current with the same amplitude and opposite polarity as the harmonic current, compensates or counteracts the harmonic current, and eliminates electric power harmonic waves.
In the whole system module, the power supply module is used for charging Kong Gongdian to the charging pile.
The power supply real-time data measuring unit is connected with the power supply module in one way to acquire circuit data of the power supply real-time data measuring unit, and specifically comprises a voltage measuring module and a current measuring module which are mutually independently detected; the voltage measurement module is used for acquiring real-time voltage data in the charging process; the current measurement module is used for acquiring real-time current data in the charging process. The two types of modules adopt different sensors to acquire corresponding type data, the whole data acquisition process is one-way closed, firstly, the operation independence is guaranteed, secondly, the later maintenance and replacement are convenient, and the acquisition circuits of the two modules do not interfere with each other.
The display module is connected with the processor module and used for displaying circuit data in the charging process and receiving the operation instruction. The whole display module is basically a visual display position serving as a charging state feedback, and receives some simpler operation instructions, such as common instructions of starting charging, suspending, charging and the like.
The environment data detection module is used for detecting environment data inside and/or outside the charging pile box body and transmitting the data to the processor module; the environment data detection module comprises a temperature detection module and a humidity detection module which are mutually independent to detect; the temperature detection module acquires temperature data inside and outside the charging pile, and the humidity detection module acquires humidity data inside and outside the charging pile;
the temperature detection module transmits the temperature data to the processor module according to the external temperature of the box body and the data content of the internal and external temperature difference of the box body; the humidity detection module transmits the humidity in the box body and the data content of the humidity difference between the inside and the outside of the box body to the processor module.
In long-term charge-discharge tests for the charging stake, the applicant found that the temperature influence is generally relatively large during the actual charging efficiency of the entire ac charging stake, and is substantially independent of the change in ambient humidity. However, the humidity change has an effect on the durability of the case, and particularly, there is a problem that the service life is short in places where the humidity change is large. Thus, under the influence of the factors described above, the processor module builds two models for different data, respectively, as will be described specifically below.
And the processor module is used for acquiring the data of the environment data detection module and feeding back the data to the power compensation module. In addition, a clock module is arranged in the processor module; the clock module is used for storing real-time clock data and forming a data stream taking a time axis as a coordinate with the data transmitted by the power supply real-time data measuring unit. The whole power supply real-time data measuring unit is only used for measuring data, does not have any processing function, all the processing functions are located in the processor module, and the processor module performs time stamp adding processing on the data through the clock module in the first step of receiving all the data.
The processor module is provided with a modeling unit which is used for receiving data transmitted by the temperature detection module, the humidity detection module and the power supply real-time data measurement unit; the modeling unit takes the temperature as target data, constructs current compensation models at different temperatures, and trains by utilizing the neural network model to form a compensation model; the modeling unit uses humidity as target data to construct a circuit abnormality control model under different humidity.
In the application, the humidity monitoring is mainly used for acquiring the abnormal condition of the whole circuit, the influence of the humidity has small influence on the charging efficiency, but the thought of the influence of the humidity on the charging efficiency is not abandoned, and under the whole topological network, the conditions of different humidity and the same temperature are subjected to independent data monitoring analysis. In the current technology, humidity is generally lost to the durability of the case, so that some influence on the charging efficiency may be generated or abnormality of the circuit may be caused. Of course, other abnormal factors, such as conventional factors including the battery temperature exceeding a temperature threshold, the battery input current exceeding a current threshold, and the battery power exceeding a threshold, are added to the overall circuit abnormal control model.
For the current compensation model, in actual compensation, the charging current is firstly measured according to the amount of the required charging power, which is generally a standard in practice, and then the actual charging current is used for compensation according to the training result of the neural network. Under the neural network model, the electric quantity value charged according to actual needs is directly compensated by the model, and real-time measurement and calculation are carried out without repeated dynamic measurement, so that the workload of a processor is huge.
The detection module is used for acquiring the parameter information of the detected electric automobile and detecting the running state of the charging pile, and carrying out exception handling when the abnormal running condition of the charging pile is acquired.
In an embodiment of the present application, the battery abnormality includes the battery temperature exceeding a temperature threshold, the battery input current being greater than a current threshold, and the battery charge exceeding a threshold.
The detection module is connected with the circuit abnormality control model in the modeling unit.
In the actual use process, the same type of charging pile foundation is laid and built in a large area in a network layout mode, in order to adapt to the existing large data network, a topology network of the whole city or even the whole country is formed, communication modules are arranged in the charging piles, under the interaction of the communication modules, the data model in the modeling unit takes a preset area range as a unit, independent data modeling is carried out, and all model data are transmitted to a general control terminal. The adjacent charging piles form data interaction through the communication module, and the data of the corresponding area are specially responsible for by arranging the master control center in the proper area and are stored in the whole database to form big data, so that the compensation model can be trained with higher precision. In the whole big data network, a unique FRID label is arranged in the charging pile so as to realize distinction.
The preferred embodiments of the present application have been described in detail above, but the present application is not limited to the specific details of the above embodiments, and various equivalent changes (such as number, shape, position, etc.) may be made to the technical solution of the present application within the scope of the technical concept of the present application, and these equivalent changes all belong to the protection of the present application.
Claims (9)
1. Fill electric pile control system based on humiture intelligent regulation, its characterized in that includes:
the power supply module is used for charging Kong Gongdian of the charging pile;
the power supply real-time data measuring unit is connected with the power supply module in one way and acquires circuit data of the power supply real-time data measuring unit;
the processor module is used for carrying out secondary processing after acquiring the electric data of the power supply real-time data measurement unit;
the display module is connected with the processor module and used for displaying circuit data in the charging process and receiving an operation instruction;
the environment data detection module is used for detecting environment data inside and/or outside the charging pile box body and transmitting the data to the processor module;
the power compensation module is connected with the power supply module and the environment data detection module; the power supply compensation module comprises a current operation circuit and a compensation current generation circuit; the current operation circuit obtains current data in the current measurement module, converts an analog current signal into a digital signal, sends the digital signal into a high-speed digital signal processor to process the signal, separates harmonic waves from fundamental waves, sends driving pulses to the compensation current generation circuit in a pulse width modulation signal mode, drives the IGBT or IPM power module, generates compensation current with the same amplitude and opposite polarity as the harmonic current, compensates or counteracts the harmonic current, and eliminates power harmonic waves;
the environment data detection module is used for acquiring temperature data and humidity data, and controlling the power supply compensation module to compensate the power supply module according to a compensation data model built in the processor module.
2. The charging pile control system based on intelligent temperature and humidity adjustment according to claim 1, wherein the power supply real-time data measurement unit comprises a voltage measurement module and a current measurement module which are independently detected; the voltage measurement module is used for acquiring real-time voltage data in the charging process; the current measurement module is used for acquiring real-time current data in the charging process.
3. The charging pile control system based on intelligent temperature and humidity adjustment according to claim 1, wherein a clock module is arranged in the processor module; the clock module is used for storing real-time clock data and forming a data stream taking a time axis as a coordinate with the data transmitted by the power supply real-time data measuring unit.
4. The charging pile control system based on intelligent temperature and humidity adjustment according to claim 1, wherein the environmental data detection module comprises a temperature detection module and a humidity detection module which are independently detected; the temperature detection module acquires temperature data inside and outside the charging pile, and the humidity detection module acquires humidity data inside and outside the charging pile;
the temperature detection module transmits the temperature data to the processor module according to the data content of the temperature outside the box body and the temperature difference inside and outside the box body; the humidity detection module transmits the humidity in the box body and the data content of the humidity difference between the inside and the outside of the box body to the processor module.
5. The self-regulating system based on the temperature and the humidity, which is arranged in the processor module, is characterized in that the processor module is provided with a modeling unit for receiving data transmitted by the temperature detection module, the humidity detection module and the power supply real-time data measurement unit; the modeling unit takes the temperature as target data, constructs current compensation models at different temperatures, and trains by utilizing a neural network model to form a compensation model; the modeling unit uses humidity as target data to construct a circuit abnormity control model under different humidity.
6. The intelligent temperature and humidity adjustment-based charging pile control system according to claim 1, further comprising:
the detection module is used for acquiring parameter information of the detected electric automobile and detecting the running state of the charging pile, and carrying out exception handling when the abnormal running condition of the charging pile is acquired;
the detection module is connected with the circuit abnormality control model in the modeling unit.
7. The charging pile control system based on intelligent temperature and humidity adjustment according to claim 1, wherein a communication module is arranged in the charging pile; and the adjacent charging piles form data interaction through a communication module.
8. The charging pile control system based on intelligent temperature and humidity adjustment according to claim 7, wherein the data model in the modeling unit performs independent data modeling by taking a preset area range as a unit under the interaction of the communication module, and transmits all model data to a master control terminal.
9. The charging pile control system based on intelligent temperature and humidity adjustment according to claim 1, wherein unique FRID tags are arranged in the charging piles.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202010925562.2A CN114132203B (en) | 2020-09-04 | 2020-09-04 | Charging pile control system based on intelligent temperature and humidity adjustment |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202010925562.2A CN114132203B (en) | 2020-09-04 | 2020-09-04 | Charging pile control system based on intelligent temperature and humidity adjustment |
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| CN114132203A CN114132203A (en) | 2022-03-04 |
| CN114132203B true CN114132203B (en) | 2023-11-14 |
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| TWI819891B (en) * | 2022-11-11 | 2023-10-21 | 財團法人金屬工業研究發展中心 | Safety detection simulation system for charging pile, and detection method |
| CN116846085A (en) * | 2023-09-04 | 2023-10-03 | 山西绿柳科技有限公司 | Self-sensing monitoring intelligent distribution box control system |
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