CN116260254A - Wireless state of charge monitored control system - Google Patents
Wireless state of charge monitored control system Download PDFInfo
- Publication number
- CN116260254A CN116260254A CN202310411421.2A CN202310411421A CN116260254A CN 116260254 A CN116260254 A CN 116260254A CN 202310411421 A CN202310411421 A CN 202310411421A CN 116260254 A CN116260254 A CN 116260254A
- Authority
- CN
- China
- Prior art keywords
- charging
- wireless charging
- wireless
- data
- power
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J50/00—Circuit arrangements or systems for wireless supply or distribution of electric power
- H02J50/10—Circuit arrangements or systems for wireless supply or distribution of electric power using inductive coupling
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J50/00—Circuit arrangements or systems for wireless supply or distribution of electric power
- H02J50/80—Circuit arrangements or systems for wireless supply or distribution of electric power involving the exchange of data, concerning supply or distribution of electric power, between transmitting devices and receiving devices
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J7/00—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
- H02J7/00032—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries characterised by data exchange
- H02J7/00036—Charger exchanging data with battery
-
- 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
- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B40/00—Technologies aiming at improving the efficiency of home appliances, e.g. induction cooking or efficient technologies for refrigerators, freezers or dish washers
Landscapes
- Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Computer Networks & Wireless Communication (AREA)
- Charge And Discharge Circuits For Batteries Or The Like (AREA)
Abstract
The invention discloses a wireless charging state monitoring system, relates to the technical field of wireless charging, and solves the technical problems that the wireless charging state cannot be estimated and influence elements in abnormal wireless charging state cannot be identified in the prior art, so that wireless charging efficiency is influenced; the method comprises the steps of pre-detecting when wireless charging is started, judging whether each function module related to wireless charging and the wireless charging position are normal, and entering a charging detection process and a charging control process after the function module and the wireless charging position are normal; identifying a wireless charging state in a charging detection process, and determining an influence element; the method can accurately identify the influence factors of each stage, thereby realizing timely and efficient early warning; according to the invention, a plurality of curve segments are intercepted from a charging abnormal curve corresponding to the mobile equipment based on a set period and electric quantity data, and the curve segments are compared with the change trend of a data curve, so that influence factors are identified; the invention can effectively early warn the influence factors and improve the wireless charging efficiency.
Description
Technical Field
The invention belongs to the field of wireless charging, relates to a real-time monitoring technology of a wireless charging state, and particularly relates to a wireless charging state monitoring system.
Background
Wireless charging, also known as inductive charging or non-contact inductive charging, utilizes near field induction technology to deliver energy from a power supply device to a powered device. The wireless charging technology has wide application at the present stage, but has obvious defects, slow charging efficiency and severe requirements on the charging environment, so that how to accurately monitor the wireless charging state is an urgent problem.
The prior art (published patent application CN107707041 a) discloses a wireless charging state remote display system and method, which are used for transmitting charging data monitored by wireless charging state to power supply equipment, and transmitting the charging data to a mobile terminal of a user for display, so as to realize remote monitoring display of the wireless charging state. In the prior art, when the wireless charging state is monitored, charging data is used as a main reference quantity of the wireless charging state, a user cannot accurately evaluate the wireless charging state, and cannot identify an influence element corresponding to the abnormal wireless charging state, so that the wireless charging state is monitored inaccurately, and the wireless charging efficiency is influenced; therefore, a wireless state of charge monitoring system is needed.
Disclosure of Invention
The present invention aims to solve at least one of the technical problems existing in the prior art; therefore, the invention provides a wireless charging state monitoring system, which is used for solving the technical problems that in the prior art, when wireless charging monitoring is carried out, the wireless charging state cannot be evaluated, and influence elements in an abnormal wireless charging state cannot be identified, so that the wireless charging state monitoring is inaccurate, and the wireless charging efficiency is influenced.
In order to achieve the above object, a first aspect of the present invention provides a wireless charging status monitoring system, including a wireless charging module and a mobile device, where the wireless charging module wirelessly charges the mobile device, and the wireless charging module and the mobile device perform data interaction;
before wireless charging starts, the wireless charging module acquires electric quantity data and equipment information of the mobile equipment; simultaneously, pre-detection of wireless charging is carried out, and a charging detection process and a charging control process are carried out after the pre-detection is passed;
in the charging detection process, the wireless charging module acquires charging data in a set period; identifying whether the wireless charging state is normal based on the charging data; if yes, continuing to perform charging control, otherwise, identifying the influencing elements;
in the charging control process, a charging curve is matched according to equipment information, and the wireless charging state of the mobile equipment is monitored; and combining the charging curve and the electric quantity data to control the charging power of the wireless charging module.
Preferably, the wireless charging module comprises a controller, a conveying coil and a database, wherein the controller analyzes and pre-warns a charging detection process and a state, and the database is used for storing data;
the mobile device comprises a receiving coil, and wireless charging is realized based on electromagnetic induction technology and the cooperation of the receiving coil and the conveying coil; the mobile device comprises a mobile phone, a computer and intelligent wearing.
Preferably, before the wireless charging starts, the wireless charging module reads device information and electric quantity data of the mobile device, and pre-detects the wireless charging, including:
when the mobile equipment is in the identification range of the wireless charging module, reading equipment information of the mobile equipment; the device information comprises a device identifier and wireless charging power;
analyzing and matching the equipment information and starting a precharge process; and acquiring the pre-charging power of the mobile device in the pre-charging process, and judging whether the pre-detection is passed or not based on the pre-charging power and the electric quantity data.
Preferably, the wireless charging module judges whether the pre-detection is passed according to the pre-charging power obtained in the pre-charging process and the electric quantity data of the mobile device, and includes:
acquiring a charging curve corresponding to the mobile equipment from a database, extracting corresponding charging power from the charging curve in combination with the electric quantity data of the mobile equipment, and marking the charging power as standard charging power; wherein, the charging curve represents the relationship between the charging time and the charging power in the optimal charging state;
when the difference value between the pre-charging power and the standard charging power is smaller than the difference value threshold value, judging that the pre-charging power is normal, and passing pre-detection; otherwise, whether the precharge power is 0 is judged, if so, the wireless charging cannot be carried out, and if not, the wireless charging position is judged to be inaccurate.
Preferably, after the pre-detection is passed, a charging detection process and a charging control process are entered; in the charging detection process, the wireless charging module judges a wireless charging state according to charging data in a set period, and the wireless charging module comprises:
determining a set period, and acquiring charging data in the set period in a wireless charging process;
establishing a data curve based on the charging data, and judging that the wireless charging state is normal when the data curve is consistent with the charging curve in the corresponding set period; otherwise, judging that the wireless charging state is abnormal.
Preferably, when the wireless charging module identifies that the wireless charging state is abnormal, the data curve is compared with the change trend of the charging abnormal curve in the database; and
and identifying the influence elements according to the comparison result of the change trend, and generating an early warning signal based on the influence elements.
Preferably, the charging anomaly curves in the database are charging curves obtained by simulating wireless charging states of the mobile device in a plurality of influence factors.
Preferably, in the charging control process, the wireless charging module matches a charging curve from a database according to the equipment information; and
and carrying out electric quantity data interaction in real time, and controlling the charging power of the wireless charging module by combining a charging curve on the basis of the electric quantity data of the mobile equipment.
Compared with the prior art, the invention has the beneficial effects that:
1. the invention comprehensively considers the whole process of wireless charging, pre-detects when wireless charging starts, judges whether each function module and wireless charging position related to wireless charging are normal, and enters a charging detection process and a charging control process after the function module and the wireless charging position are normal; wireless charging states are identified during the charging detection process and influencing elements are determined. According to the invention, different judgment is carried out at different stages of wireless charging, so that the influence factors of each stage can be accurately identified, and further timely and efficient early warning is realized.
2. When the wireless charging state abnormality is determined, a plurality of curve segments are intercepted from a charging abnormality curve corresponding to the mobile equipment based on a set period and electric quantity data, and the curve segments are compared with the change trend of a data curve, so that influence factors are identified. The invention can effectively early warn the influence factors and improve the wireless charging efficiency.
Drawings
In order to more clearly illustrate the embodiments of the invention 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 invention, 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 schematic diagram of the working steps of the present invention.
Detailed Description
The technical solutions of the present invention will be clearly and completely described in connection with the embodiments, and it is obvious that the described embodiments are only some embodiments of the present invention, 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.
Referring to fig. 1, an embodiment of a first aspect of the present invention provides a wireless charging status monitoring system, including a wireless charging module and a mobile device, where the wireless charging module wirelessly charges the mobile device, and the wireless charging module and the mobile device perform data interaction;
before wireless charging starts, the wireless charging module acquires electric quantity data and equipment information of the mobile equipment; simultaneously, pre-detection of wireless charging is carried out, and a charging detection process and a charging control process are carried out after the pre-detection is passed;
in the charging detection process, the wireless charging module acquires charging data in a set period; identifying whether the wireless charging state is normal based on the charging data; if yes, continuing to perform charging control, otherwise, identifying the influencing elements;
in the charging control process, a charging curve is matched according to equipment information, and the wireless charging state of the mobile equipment is monitored; and combining the charging curve and the electric quantity data to control the charging power of the wireless charging module.
In the prior art, when wireless charging monitoring is performed, whether wireless charging can be performed or not and whether wireless charging power change is consistent with a standard experiment state can be judged generally; once the wireless state abnormality is identified, specific influence elements cannot be identified, and the influence elements cannot be removed in time, so that the wireless charging state monitoring is inaccurate, and the wireless charging efficiency is influenced.
The invention comprehensively considers the whole process of wireless charging, pre-detects when wireless charging starts, judges whether each function module and wireless charging position related to wireless charging are normal, and enters a charging detection process and a charging control process after the function module and the wireless charging position are normal; wireless charging states are identified during the charging detection process and influencing elements are determined. According to the invention, different judgment is carried out at different stages of wireless charging, so that the influence factors of each stage can be accurately identified, and further timely and efficient early warning is realized.
The charging control process and the charging detection process are synchronously carried out, namely after the pre-detection is passed, the two links are started simultaneously. The charging control process is to control wireless charging power by combining the electric quantity data of the mobile equipment, so that the wireless charging power is ensured to be charged according to a corresponding charging curve under the normal condition of the wireless charging state. The charging detection process is to detect the actual charging power of the mobile device under the condition that the charging control process works well, and identify the influence elements so as to remove the influence elements in time.
The wireless charging module comprises a controller, a conveying coil and a database, wherein the controller analyzes and pre-warns the charging detection process and the state, and the database is used for storing data; the mobile device comprises a receiving coil, and wireless charging is realized based on electromagnetic induction technology and the cooperation of the receiving coil and a conveying coil.
When the mobile device enters the wireless charging area, the wireless charging module charges the mobile device based on the wireless charging technology. In the wireless charging process, the wireless charging module needs to identify whether the mobile device can be charged or not and accurately monitor the wireless charging process. The controller mainly performs data processing and performs data interaction with the mobile device and the database. The transmission coil and the receiving coil are the main execution links of wireless charging, namely, the processes of electricity generation and magnetism electricity generation are completed through the transmission coil and the receiving coil. The database can be a cloud server for storing various mobile device charging curves, or can be built in the controller for storing single mobile device charging curves. Short-range communication is performed between the mobile device and the wireless charging module (or the controller), namely, interaction of necessary data is realized through a short-range data interaction technology (such as RFID technology).
In a preferred embodiment, before the wireless charging starts, the wireless charging module reads device information and power data of the mobile device, and pre-detects the wireless charging, including:
when the mobile equipment is in the identification range of the wireless charging module, reading equipment information of the mobile equipment; analyzing and matching the equipment information and starting a precharge process; and acquiring the pre-charging power of the mobile device in the pre-charging process, and judging whether the pre-detection is passed or not based on the pre-charging power and the electric quantity data.
The device information in the embodiment mainly comprises a device identifier and wireless charging power, whether the wireless charging module can charge the mobile device or not is judged according to the device identifier, and the output of the conveying coil is adjusted according to the wireless charging power of the mobile device; the precharge is performed after the device information matching is successful.
The pre-charging process in this embodiment specifically refers to briefly charging the mobile device, and then obtaining the charging power of the mobile device, that is, the pre-charging power. Then, the wireless charging module judges whether the pre-detection is passed or not according to the pre-charging power obtained in the pre-charging process and the electric quantity data of the mobile equipment, and the wireless charging module comprises the following steps:
acquiring a charging curve corresponding to the mobile equipment from a database, extracting corresponding charging power from the charging curve in combination with the electric quantity data of the mobile equipment, and marking the charging power as standard charging power; when the difference value between the pre-charging power and the standard charging power is smaller than the difference value threshold value, judging that the pre-charging power is normal, and passing pre-detection; otherwise, whether the precharge power is 0 is judged, if so, the wireless charging cannot be carried out, and if not, the wireless charging position is judged to be inaccurate.
When the battery is charged, in order to improve the service life of the battery, the battery is charged by different charging powers in the whole process. Therefore, the standard charging power is obtained by positioning in the charging curve according to the electric quantity data, and the charging curve represents the relationship between the charging time and the charging power in the optimal charging state, namely the change of the charging power and the charging time in the process of charging the battery to full charge under the condition of zero electric quantity, so that the corresponding standard charging power can be positioned according to the electric quantity data.
When the difference between the precharge power and the standard charge power is small, it is determined that the precharge power is normal, i.e., the precharge passes. If the precharge power is abnormal, judging whether the precharge power is 0; when the precharge power is 0, it indicates that the mobile device cannot be charged at all, in which case the controller, the transmission coil, the receiving coil, etc. are generally damaged; when the pre-charging power is not 0 and the standard charging power requirement is not met, the mobile equipment is judged to be placed in an unpaired position, and a position deviation prompt can be sent out. It is to be understood that the difference threshold is set based on circumstances or experience.
In a preferred embodiment, the charge detection process and the charge control process are entered after the pre-detection has passed; in the charging detection process, the wireless charging module judges the wireless charging state according to the charging data in the set period, and the wireless charging module comprises:
determining a set period, and acquiring charging data in the set period in a wireless charging process; establishing a data curve based on the charging data, and judging that the wireless charging state is normal when the data curve is consistent with the charging curve in the corresponding set period; otherwise, judging that the wireless charging state is abnormal.
The setting period may be set according to different charging phases, e.g. smaller at a position where the charging power changes faster, e.g. one minute, and larger at a position where the charging power changes slower, e.g. one minute. Judging whether the wireless charging state is normal according to whether the data curve of the mobile equipment in the set period is consistent with the charging curve of the corresponding position; and when the charging power average value of the data curve in the set period is obviously lower than the charging power average value of the charging curve in the corresponding interval, judging that the wireless charging state is abnormal. Of course, the data curve and the charging curve may also be analyzed mathematically, including in particular:
the charging curve is denoted as CF (t), and the data curve is denoted as SF (t); obtaining a curve evaluation coefficient QPX by the formula qpx= |≡ (CF (t) -SF (t))|; the integration interval is a time range of mapping a set period onto a charging curve; and when the curve evaluation coefficient is smaller than the corresponding set threshold value, judging that the wireless charging state is normal, otherwise, judging that the wireless charging state is abnormal.
In an alternative embodiment, when the wireless charging module identifies that the wireless charging state is abnormal, the data curve is compared with the change trend of the charging abnormal curve in the database; and identifying the influence element according to the comparison result of the change trend, and generating an early warning signal based on the influence element.
The charging anomaly curves obtained by the mobile equipment under the influence of various influence elements in the wireless charging simulation process are stored in the database, and the curve change trend comparison can be used for determining the influence of the influence elements. It should be understood that the influencing element refers to an environmental element that affects the wireless charging efficiency, such as temperature, humidity, magnetic field, and the like.
It should be noted that, when comparing the trend of curves, the position location should also be performed, that is, the set period is mapped into the charging curve and compared with the trend of corresponding curve segments in the charging curve. The mapping for the set period is illustrated:
the electric quantity data of the mobile equipment is 0.2, and the set period is 1 minute;
and calculating the corresponding time from 0 to 0.2 according to the charging curve corresponding to the mobile equipment, and marking the time as the mapping time, wherein a curve segment (charging curve) corresponding to the mapping time plus 1 minute can be used for evaluating the change trend of the data curve.
In an alternative embodiment, during the charging control process, the wireless charging module matches the charging curve from the database according to the device information; and carrying out electric quantity data interaction in real time, and controlling the charging power of the wireless charging module by combining a charging curve on the basis of the electric quantity data of the mobile equipment.
That is, in this embodiment, the power data of the mobile device needs to be continuously obtained to adjust the wireless charging power, so as to ensure efficient charging efficiency.
The partial data in the formula are all obtained by removing dimension and taking the numerical value for calculation, and the formula is a formula closest to the real situation obtained by simulating a large amount of collected data through software; the preset parameters and the preset threshold values in the formula are set by those skilled in the art according to actual conditions or are obtained through mass data simulation.
The working principle of the invention is as follows:
before wireless charging starts, the wireless charging module acquires electric quantity data and equipment information of the mobile equipment; and simultaneously, pre-detection of wireless charging is carried out, and a charging detection process and a charging control process are carried out after the pre-detection is passed.
In the charging detection process, the wireless charging module acquires charging data in a set period; identifying whether the wireless charging state is normal based on the charging data; if yes, the charge control is continued, and if not, the influence element is identified.
In the charging control process, a charging curve is matched according to equipment information, and the wireless charging state of the mobile equipment is monitored; and combining the charging curve and the electric quantity data to control the charging power of the wireless charging module.
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 (8)
1. The utility model provides a wireless state of charge monitored control system, includes wireless charging module and mobile device, and wireless charging module carries out wireless charging to mobile device, and wireless charging module carries out data interaction with mobile device, its characterized in that:
before wireless charging starts, the wireless charging module acquires electric quantity data and equipment information of the mobile equipment; simultaneously, pre-detection of wireless charging is carried out, and a charging detection process and a charging control process are carried out after the pre-detection is passed;
in the charging detection process, the wireless charging module acquires charging data in a set period; identifying whether the wireless charging state is normal based on the charging data; if yes, continuing to perform charging control, otherwise, identifying the influencing elements;
in the charging control process, a charging curve is matched according to equipment information, and the wireless charging state of the mobile equipment is monitored; and combining the charging curve and the electric quantity data to control the charging power of the wireless charging module.
2. The wireless charging status monitoring system of claim 1, wherein the wireless charging module comprises a controller, a delivery coil, and a database, wherein the controller analyzes and pre-warns of charging detection processes and status, and wherein the database is used for storing data;
the mobile device comprises a receiving coil, and wireless charging is realized based on electromagnetic induction technology and the cooperation of the receiving coil and the conveying coil; the mobile device comprises a mobile phone, a computer and intelligent wearing.
3. The wireless charging status monitoring system of claim 2, wherein the wireless charging module reads device information and power data of the mobile device and pre-detects wireless charging before wireless charging begins, comprising:
when the mobile equipment is in the identification range of the wireless charging module, reading equipment information of the mobile equipment; the device information comprises a device identifier and wireless charging power;
analyzing and matching the equipment information and starting a precharge process; and acquiring the pre-charging power of the mobile device in the pre-charging process, and judging whether the pre-detection is passed or not based on the pre-charging power and the electric quantity data.
4. The wireless charging status monitoring system according to claim 3, wherein the wireless charging module determines whether the pre-detection is passed according to the pre-charging power obtained in the pre-charging process and the power data of the mobile device, and comprises:
acquiring a charging curve corresponding to the mobile equipment from a database, extracting corresponding charging power from the charging curve in combination with the electric quantity data of the mobile equipment, and marking the charging power as standard charging power; wherein, the charging curve represents the relationship between the charging time and the charging power in the optimal charging state;
when the difference value between the pre-charging power and the standard charging power is smaller than the difference value threshold value, judging that the pre-charging power is normal, and passing pre-detection; otherwise, whether the precharge power is 0 is judged, if so, the wireless charging cannot be carried out, and if not, the wireless charging position is judged to be inaccurate.
5. A wireless charging status monitoring system according to claim 1 or 4, wherein the charging detection process and the charging control process are entered after the pre-detection is passed; in the charging detection process, the wireless charging module judges a wireless charging state according to charging data in a set period, and the wireless charging module comprises:
determining a set period, and acquiring charging data in the set period in a wireless charging process;
establishing a data curve based on the charging data, and judging that the wireless charging state is normal when the data curve is consistent with the charging curve in the corresponding set period; otherwise, judging that the wireless charging state is abnormal.
6. The wireless charging status monitoring system of claim 5, wherein when the wireless charging module identifies a wireless charging status anomaly, the data profile is compared with a trend of charging anomaly profiles in a database; and
and identifying the influence elements according to the comparison result of the change trend, and generating an early warning signal based on the influence elements.
7. The wireless state of charge monitoring system of claim 6, wherein the charge anomaly profile in the database is a charge profile that simulates wireless state of charge acquisition of a mobile device among a number of influencing factors.
8. The wireless charging status monitoring system of claim 6, wherein during the charging control process, the wireless charging module matches a charging profile from a database according to device information; and
and carrying out electric quantity data interaction in real time, and controlling the charging power of the wireless charging module by combining a charging curve on the basis of the electric quantity data of the mobile equipment.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310411421.2A CN116260254A (en) | 2023-04-18 | 2023-04-18 | Wireless state of charge monitored control system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310411421.2A CN116260254A (en) | 2023-04-18 | 2023-04-18 | Wireless state of charge monitored control system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN116260254A true CN116260254A (en) | 2023-06-13 |
Family
ID=86681018
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202310411421.2A Pending CN116260254A (en) | 2023-04-18 | 2023-04-18 | Wireless state of charge monitored control system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN116260254A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN118040856A (en) * | 2024-04-15 | 2024-05-14 | 深圳市方昕科技有限公司 | Wireless charging control method and device |
-
2023
- 2023-04-18 CN CN202310411421.2A patent/CN116260254A/en active Pending
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN118040856A (en) * | 2024-04-15 | 2024-05-14 | 深圳市方昕科技有限公司 | Wireless charging control method and device |
| CN118040856B (en) * | 2024-04-15 | 2024-06-25 | 深圳市方昕科技有限公司 | Wireless charging control method and device |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN105261079A (en) | Portable intelligent electric power inspection device | |
| CN111898669B (en) | Abnormal event early warning system of direct-current submerged arc furnace based on machine learning | |
| CN114889433A (en) | Thermal runaway alarm system and method for battery of electric vehicle | |
| CN116260254A (en) | Wireless state of charge monitored control system | |
| US10692302B2 (en) | Servicing schedule method based on prediction of degradation in electrified vehicles | |
| CN110988559A (en) | Online monitoring method for full life cycle of transformer substation direct current system based on Internet of things | |
| US20220399753A1 (en) | Systems and methods for automated detection of switch capacitor operation | |
| CN111142038A (en) | Storage battery health state assessment method and device | |
| CN114069856A (en) | Remote monitoring system and method for electric vehicle charging facility | |
| CN114966422A (en) | Real-time monitoring and early warning system based on power battery parameters | |
| CN113177646A (en) | Power distribution equipment online monitoring method and system based on self-adaptive edge proxy | |
| CN113644711B (en) | Management system for wireless charging of interactive mobile phone | |
| CN110906507A (en) | Air conditioner fault processing method and device | |
| CN115002166A (en) | Intelligent battery monitoring and leasing management system and method based on Internet of things | |
| CN114216558A (en) | Method and system for predicting remaining life of battery of wireless vibration sensor | |
| CN110646654A (en) | Electricity larceny prevention detection system | |
| CN116990619B (en) | Intelligent monitoring method of mine frequency conversion integrated machine | |
| CN112650068B (en) | Household fault detection method and device based on intelligent current sensor | |
| CN111948534B (en) | Generator state early warning method and system | |
| CN110912270B (en) | Distribution automation intelligence feeder terminal | |
| CN118202309A (en) | Method for operating a device in an IoT system | |
| CN109470984B (en) | Power protection distribution network fault studying and judging system with electronic sand table and studying and judging method thereof | |
| CN112560889A (en) | Power load identification method | |
| CN117955263B (en) | Wireless charging method and system for intelligent equipment | |
| CN117370115B (en) | IDC computer lab operation monitoring system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |