CN114132203A - Fill electric pile control system based on humiture intelligent regulation - Google Patents
Fill electric pile control system based on humiture intelligent regulation 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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- 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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- Power Engineering (AREA)
- Transportation (AREA)
- Mechanical Engineering (AREA)
- Charge And Discharge Circuits For Batteries Or The Like (AREA)
Abstract
The application discloses fill electric pile control system based on humiture intelligent regulation includes: the device comprises a power supply module, a power supply real-time data measuring unit, a processor module, a display module, an environmental data detection module and a power supply compensation module; 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. One or more technical solutions provided by the present disclosure 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 the learning simulation of big data is carried out by adopting a neural network model mode 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, especially, relate to a fill electric pile control system based on humiture intelligent regulation.
Background
With the current state, the construction work of charging automobiles is greatly promoted, the popularization of charging piles is in the process of continuously improving distribution, but considering that the areas of nationwide areas are overlarge and the climate differences are very obvious, a self-adjusting charging system is needed for different temperature and humidity environments of different areas at present, and the large-area construction of the charging piles is realized.
Disclosure of Invention
In order to solve the technical problem, 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 fill electric pile control system based on humiture intelligent regulation can include:
the power supply module is used for supplying power to the charging hole of the charging pile;
the power supply real-time data measuring unit is connected with the power supply module in a one-way mode and acquires circuit data of the power supply module;
the processor module is used for acquiring the electric data of the power supply real-time data measuring unit and then performing secondary processing;
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 supply compensation module is connected with the power supply module and is connected with the environmental data detection module;
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.
Furthermore, the power supply real-time data measuring unit comprises a voltage measuring module and a current measuring module which are mutually independent to detect; the voltage measurement module is used for acquiring real-time voltage data in the charging process; the current measuring 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 with 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 for detection; 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 data content of the humidity in the box body and the humidity difference between the inside and the outside of the box body to the processor module.
Furthermore, a modeling unit is arranged in the processor module and 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 using a neural network model to form a compensation model; the modeling unit takes the humidity as target data to construct circuit abnormity control models under different humidities.
Furthermore, 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 a driving pulse 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 cancels the harmonic current, and eliminates power harmonic waves.
Further, the system further comprises:
the detection module is used for acquiring parameter information of the detected electric automobile, detecting the running state of the charging pile and performing exception handling when the condition that the charging pile runs abnormally is acquired;
the detection module is connected with a circuit abnormity control model in the modeling unit.
Furthermore, a communication module is arranged in the charging pile; and data interaction is formed between the adjacent charging piles through the communication module.
Further, under the interaction of the communication modules, the data models in the modeling unit take the preset area range as a unit, independent data modeling is carried out, and all model data are transmitted to the master control terminal.
Furthermore, charging piles are all provided with unique FRID tags.
One or more technical solutions provided by the present disclosure 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 the learning simulation of big data is carried out by adopting a neural network model mode 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 present application or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a block diagram of a system provided in an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some, but not all, embodiments of the present application. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
It will be understood that the terms "comprises" and/or "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 present application herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. As used in the specification of the present application 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 this specification and the appended claims refers to and includes any and all possible combinations of one or more of the associated listed items.
As used in this specification and the appended claims, the term "if" may be interpreted contextually as "when", "upon" or "in response to a determination" or "in response to a detection". Similarly, the phrase "if it is determined" or "if a [ described condition or event ] is detected" may be interpreted contextually to mean "upon determining" or "in response to determining" or "upon detecting [ described condition or event ]" or "in response to detecting [ described condition or event ]".
The embodiment of the application provides a fill electric pile control system based on humiture intelligent regulation, entire system includes power supply module, power real-time data measurement unit, processor module, display module, environmental data detection module and power compensation module. The power supply compensation module is connected with the power supply module and is connected with the environmental data detection module; the environmental 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. 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 a driving pulse 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 cancels the harmonic current, and eliminates power harmonic waves.
In the whole system module, the power supply module is used for supplying power to the charging hole of the charging pile.
The power supply real-time data measuring unit is unidirectionally connected with the power supply module 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 detected independently; the voltage measurement module is used for acquiring real-time voltage data in the charging process; the current measuring 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, the operation independence is ensured, the later maintenance and replacement are convenient, and the acquisition circuits of the two modules do not interfere.
And the display module is connected with the processor module and is used for displaying the circuit data in the charging process and receiving the operation instruction. The whole display module basically serves as a visual display position for charging state feedback, and receives some simpler operation instructions, such as common instructions for starting charging, pausing, 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 for detection; 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 data content of the humidity in the box body and the humidity difference between the inside and the outside of the box body to the processor module.
In a long-term charge and discharge test for the charging pile, the applicant finds that in the actual charging efficiency process of the whole alternating-current charging pile, the influence of temperature is large under general conditions, and the influence is basically irrelevant to the change of environmental humidity. But the change of humidity is influential to the durability of the box body, and especially in the place with large humidity change, the problem of short service life obviously exists. Thus, under the influence of the above-mentioned factors, the processor module constructs two models for different data, respectively, as will be described specifically below.
And the processor module is used for acquiring the electric data of the power supply real-time data measuring unit and then performing secondary processing to obtain the electric data of the power supply real-time data measuring unit as a core part in the system, and the processor module is also used for acquiring the data of the environmental data detecting module and feeding the data back to the power supply compensation module. 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 with 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 used for measuring data only and does not have any processing function, all the processing functions are located in the processor module, and the first step of receiving all the data by the processor module is to perform timestamp adding processing on the data through the clock module.
The processor module is internally 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 using a neural network model to form a compensation model; the modeling unit takes the humidity as target data to construct circuit abnormity control models under different humidities.
In this application, the control to humidity is mainly used for obtaining the unusual condition of whole circuit, and the influence of humidity is less to charging efficiency, does not give up the thinking that humidity influences charging efficiency in this application simultaneously, under whole topological network, has solitary data monitoring analysis to the condition of different humidity and same temperature. In the current technology, humidity is generally a certain loss to the durability of the case, and thus some influence on the charging efficiency may be generated or an abnormality of the circuit may be caused. Of course, other abnormal factors, such as the battery temperature exceeding the threshold, the battery input current being greater than the threshold, and the battery power exceeding the threshold, may also be added to the entire circuit abnormality control model.
For the current compensation model, in the actual compensation, the charging current is measured according to the amount of the required charging amount, which generally has a standard in practice, and then compensation is performed according to the training result of the neural network according to the actual charging current. Under the neural network model, the model is relied on to directly compensate according to the actually required charged electric quantity value, and the real-time measurement and calculation are not needed through repeated dynamic measurement, so that the workload of the processor is very huge.
The detection module is used for acquiring parameter information for detecting the electric automobile, detecting the running state of the charging pile and performing exception handling when the condition that the charging pile runs abnormally is acquired.
In an embodiment of the present invention, the battery abnormality includes a battery temperature exceeding a threshold temperature, a battery input current being greater than a threshold current, and a battery charge exceeding a threshold.
The detection module is connected with a circuit abnormity control model in the modeling unit.
In the actual use process, the same charging pile is basically laid and built in a large area in a network layout mode, a topological network of the whole city or even the whole country is formed in order to adapt to the existing large data network, a communication module is arranged in the charging pile, and under the interaction of the communication module, a data model in a modeling unit takes a preset area range as a unit, independent data modeling is carried out, and all model data are transmitted to a master control terminal. The adjacent charging piles form data interaction through the communication module, a master control center is arranged in a proper area, the master control center is specially responsible for data of the corresponding area, and the data 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, charging piles are all provided with unique FRID labels to realize the difference.
Although the preferred embodiments of the present invention have been described in detail, the present invention is not limited to the details of the foregoing embodiments, and various equivalent changes (such as number, shape, position, etc.) may be made to the technical solution of the present invention within the technical spirit of the present invention, and the equivalents are protected by the present invention.
Claims (10)
1. The utility model provides a fill electric pile control system based on humiture intelligent regulation which characterized in that includes:
the power supply module is used for supplying power to the charging hole of the charging pile;
the power supply real-time data measuring unit is connected with the power supply module in a one-way mode and acquires circuit data of the power supply module;
the processor module is used for acquiring the electric data of the power supply real-time data measuring unit and then performing secondary processing;
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 supply compensation module is connected with the power supply module and is connected with the environmental data detection module;
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 regulation of claim 1, wherein the power supply real-time data measuring unit comprises a voltage measuring module and a current measuring module which are independently detected; the voltage measurement module is used for acquiring real-time voltage data in the charging process; the current measuring 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 regulation of 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 with 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 regulation of claim 1, wherein the environment 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 data content of the humidity in the box body and the humidity difference between the inside and the outside of the box body to the processor module.
5. The charging pile built-in self-adjusting system based on temperature and humidity as claimed in claim 1, wherein a modeling unit is arranged in the processor module and 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 temperature as target data, constructs current compensation models at different temperatures, and trains by using a neural network model to form a compensation model; the modeling unit takes humidity as target data to construct circuit abnormity control models under different humidities.
6. The charging pile control system based on intelligent temperature and humidity regulation of claim 1, wherein 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 cancels the harmonic current, and eliminates power harmonic waves.
7. The charging pile control system based on intelligent temperature and humidity regulation of claim 1, wherein the system further comprises:
the detection module is used for acquiring parameter information of the detected electric automobile, detecting the running state of the charging pile and performing exception handling when the condition that the charging pile runs abnormally is acquired;
the detection module is connected with a circuit abnormity control model in the modeling unit.
8. The intelligent temperature and humidity regulation-based charging pile control system according to claim 1, wherein a communication module is arranged in the charging pile; and data interaction is formed between the adjacent charging piles through the communication module.
9. The charging pile control system based on intelligent temperature and humidity regulation of claim 1, wherein under the interaction of the communication modules, independent data modeling is performed on a data model in a modeling unit by taking a preset area range as a unit, and all model data are transmitted to a master control terminal.
10. The intelligent temperature and humidity regulation-based charging pile control system according to claim 1, wherein each charging pile is provided with a unique FRID tag.
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Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
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 |
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 |
Citations (26)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
KR20000002336A (en) * | 1998-06-18 | 2000-01-15 | 윤종용 | Constant power charging circuit of portable electronic device with temperature compensation circuit |
CN1510814A (en) * | 2002-12-24 | 2004-07-07 | ������������ʽ���� | Charger and charging method |
US20060125449A1 (en) * | 2004-12-10 | 2006-06-15 | Xantrex Technology Inc. | Duty cycle controller for high power factor battery charger |
TH84397A (en) * | 2006-10-02 | 2007-05-03 | นางดารานีย์ วัจนะวุฒิวงศ์ | Systems and methods for providing loading |
JP2007129392A (en) * | 2005-11-02 | 2007-05-24 | Matsushita Electric Ind Co Ltd | Mobile terminal device |
JP2009259754A (en) * | 2007-05-28 | 2009-11-05 | Honda Motor Co Ltd | Electric power supply system |
US20100172168A1 (en) * | 2007-05-25 | 2010-07-08 | Access Business Group International Llc | Power system |
CN201947034U (en) * | 2011-03-11 | 2011-08-24 | 威海天力电源科技有限公司 | Temperature-adaptive charger |
JP2012010546A (en) * | 2010-06-28 | 2012-01-12 | Equos Research Co Ltd | Non-contact power transmission system, non-contact power transmission device and impedance adjusting method |
US20120112705A1 (en) * | 2010-11-10 | 2012-05-10 | Richtek Technology Corporation, R.O.C. | Charger circuit |
CN105210257A (en) * | 2013-03-15 | 2015-12-30 | 睿能创意公司 | Modular system for collection and distribution of electric storage devices |
CN105667328A (en) * | 2016-01-04 | 2016-06-15 | 莆田市云驰新能源汽车研究院有限公司 | Wireless charging method for electric automobile |
CN107128178A (en) * | 2017-04-05 | 2017-09-05 | 中通客车控股股份有限公司 | A kind of electric motor coach charge protection system and method |
CN107171640A (en) * | 2017-06-08 | 2017-09-15 | 苏州艾特博斯智能设备有限公司 | A kind of photovoltaic module monitoring device and photovoltaic generating system |
CN107615632A (en) * | 2015-07-24 | 2018-01-19 | 三菱电机株式会社 | Power-converting device |
CN108032757A (en) * | 2017-12-14 | 2018-05-15 | 谷新运 | A kind of automobile quick charge device that can inhibit charging noise |
CN207440671U (en) * | 2017-10-13 | 2018-06-01 | 国网江西省电力公司检修分公司 | A kind of intelligent electronic device of substation |
CN108551204A (en) * | 2018-06-21 | 2018-09-18 | 威胜信息技术股份有限公司 | Solar charging electric control circuit, charge control method and its solar communications terminal |
CN208046269U (en) * | 2018-03-29 | 2018-11-02 | 江苏超电新能源科技发展有限公司 | A kind of intelligent charging spot |
CN108879875A (en) * | 2018-08-07 | 2018-11-23 | 宁波智果科技咨询服务有限公司 | A kind of charging pile system of battery charge state charge control |
CN108879811A (en) * | 2018-03-15 | 2018-11-23 | 杭州奥能电源设备有限公司 | Multiple-unit power module control method, controller and direct current quick charge stake |
US20190241087A1 (en) * | 2018-02-06 | 2019-08-08 | Witricity Corporation | Thermal Feedback for Power Transfer Optimization |
CN110143140A (en) * | 2019-05-14 | 2019-08-20 | 杭州电力设备制造有限公司 | A kind of anticreep intelligent charging spot |
CN110249502A (en) * | 2017-02-10 | 2019-09-17 | 苹果公司 | The wireless charging system negotiated with starting |
JP3224344U (en) * | 2019-07-10 | 2019-12-12 | 飛宏科技股▲ふん▼有限公司Phihong Technology Co., Ltd. | Intelligent charging device that manages battery charging with maximum AC / DC output |
CN111319490A (en) * | 2018-12-15 | 2020-06-23 | 上海协同科技股份有限公司 | Charging pile safety protection method based on temperature difference and charging control device thereof |
-
2020
- 2020-09-04 CN CN202010925562.2A patent/CN114132203B/en active Active
Patent Citations (26)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
KR20000002336A (en) * | 1998-06-18 | 2000-01-15 | 윤종용 | Constant power charging circuit of portable electronic device with temperature compensation circuit |
CN1510814A (en) * | 2002-12-24 | 2004-07-07 | ������������ʽ���� | Charger and charging method |
US20060125449A1 (en) * | 2004-12-10 | 2006-06-15 | Xantrex Technology Inc. | Duty cycle controller for high power factor battery charger |
JP2007129392A (en) * | 2005-11-02 | 2007-05-24 | Matsushita Electric Ind Co Ltd | Mobile terminal device |
TH84397A (en) * | 2006-10-02 | 2007-05-03 | นางดารานีย์ วัจนะวุฒิวงศ์ | Systems and methods for providing loading |
US20100172168A1 (en) * | 2007-05-25 | 2010-07-08 | Access Business Group International Llc | Power system |
JP2009259754A (en) * | 2007-05-28 | 2009-11-05 | Honda Motor Co Ltd | Electric power supply system |
JP2012010546A (en) * | 2010-06-28 | 2012-01-12 | Equos Research Co Ltd | Non-contact power transmission system, non-contact power transmission device and impedance adjusting method |
US20120112705A1 (en) * | 2010-11-10 | 2012-05-10 | Richtek Technology Corporation, R.O.C. | Charger circuit |
CN201947034U (en) * | 2011-03-11 | 2011-08-24 | 威海天力电源科技有限公司 | Temperature-adaptive charger |
CN105210257A (en) * | 2013-03-15 | 2015-12-30 | 睿能创意公司 | Modular system for collection and distribution of electric storage devices |
CN107615632A (en) * | 2015-07-24 | 2018-01-19 | 三菱电机株式会社 | Power-converting device |
CN105667328A (en) * | 2016-01-04 | 2016-06-15 | 莆田市云驰新能源汽车研究院有限公司 | Wireless charging method for electric automobile |
CN110249502A (en) * | 2017-02-10 | 2019-09-17 | 苹果公司 | The wireless charging system negotiated with starting |
CN107128178A (en) * | 2017-04-05 | 2017-09-05 | 中通客车控股股份有限公司 | A kind of electric motor coach charge protection system and method |
CN107171640A (en) * | 2017-06-08 | 2017-09-15 | 苏州艾特博斯智能设备有限公司 | A kind of photovoltaic module monitoring device and photovoltaic generating system |
CN207440671U (en) * | 2017-10-13 | 2018-06-01 | 国网江西省电力公司检修分公司 | A kind of intelligent electronic device of substation |
CN108032757A (en) * | 2017-12-14 | 2018-05-15 | 谷新运 | A kind of automobile quick charge device that can inhibit charging noise |
US20190241087A1 (en) * | 2018-02-06 | 2019-08-08 | Witricity Corporation | Thermal Feedback for Power Transfer Optimization |
CN108879811A (en) * | 2018-03-15 | 2018-11-23 | 杭州奥能电源设备有限公司 | Multiple-unit power module control method, controller and direct current quick charge stake |
CN208046269U (en) * | 2018-03-29 | 2018-11-02 | 江苏超电新能源科技发展有限公司 | A kind of intelligent charging spot |
CN108551204A (en) * | 2018-06-21 | 2018-09-18 | 威胜信息技术股份有限公司 | Solar charging electric control circuit, charge control method and its solar communications terminal |
CN108879875A (en) * | 2018-08-07 | 2018-11-23 | 宁波智果科技咨询服务有限公司 | A kind of charging pile system of battery charge state charge control |
CN111319490A (en) * | 2018-12-15 | 2020-06-23 | 上海协同科技股份有限公司 | Charging pile safety protection method based on temperature difference and charging control device thereof |
CN110143140A (en) * | 2019-05-14 | 2019-08-20 | 杭州电力设备制造有限公司 | A kind of anticreep intelligent charging spot |
JP3224344U (en) * | 2019-07-10 | 2019-12-12 | 飛宏科技股▲ふん▼有限公司Phihong Technology Co., Ltd. | Intelligent charging device that manages battery charging with maximum AC / DC output |
Non-Patent Citations (2)
Title |
---|
张黎辉: "温湿度对交流充电桩示值误差的影响", 《计测技术》, vol. 38, no. 04, pages 43 - 45 * |
赵希峰等: "《关键信息基础设施故障技术手册第1册机房(台站)部分》", vol. 1, 电子科技大学出版社, pages: 262 - 263 * |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
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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