Wireless Charging System for Electric Smart Lock

By monitoring the output power of the charging transmitter and the power of the energy storage unit in the wireless charging system of the smart lock in real time and evaluating the charging efficiency, the problem of inability to monitor the charging efficiency in real time in the prior art is solved, and the effect and stability of wireless charging are improved.

CN114709936BActive Publication Date: 2025-06-17ANHUI HUASHENG ENERGY INTERNET RES INST CO LTD
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Patent Information

Application Number
CN202210350772.2
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2022-04-02
Publication Date
2025-06-17
Estimated Expiration
2042-04-02

AI Technical Summary

Technical Problem

The prior art cannot monitor the charging efficiency in real time during the wireless charging of smart locks, resulting in poor charging effect.

Method used

The output power of the charging transmitter is obtained in real time through the control module, and the charging efficiency is evaluated in combination with the power of the energy storage unit, real-time monitoring and optimization of wireless charging efficiency is achieved.

Benefits of technology

It improves the effect of wireless charging, ensures the efficiency and stability of the charging process, and is suitable for application scenarios with different needs.

✦ Generated by Eureka AI based on patent content.

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Abstract

The present invention discloses a wireless charging system for an intelligent power lock, which relates to the technical field of wireless charging. It solves the technical problem in the prior art that during the wireless charging of the intelligent lock, only the switch of the wireless charging is controlled, and the efficiency of the wireless charging cannot be monitored in real time, resulting in poor wireless charging effect. The present invention determines whether the conditions for wireless charging are met, and during the wireless charging of the intelligent lock body, the control module evaluates the charging efficiency according to the output power of the charging transmitter, either according to the output power or by combining the output power with the power of the energy storage unit. On the basis of ensuring the conditions for wireless charging, the wireless charging efficiency is monitored in real time, thereby improving the wireless charging effect. The present invention can evaluate the charging efficiency according to the output power of the charging transmitter, and the evaluation process is simple. It can also evaluate the charging efficiency by combining the power of the energy storage unit and an artificial intelligence model, etc., with high evaluation accuracy, making the application scope of the present invention wider and capable of adapting to different requirements.
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Description

Technical Field

[0001] The present invention belongs to the field of wireless charging, relates to the wireless charging technology of an electric intelligent lock, and specifically is a wireless charging system for an electric intelligent lock. Background Art

[0002] Most intelligent locks adopt an active design, that is, a power supply is configured for each intelligent lock, and the power supply needs to be replaced regularly. This is not only cumbersome in operation but also not environmentally friendly. Moreover, the electric intelligent lock is small in size and not suitable for setting a power supply. Therefore, there is a need for an intelligent lock with wireless charging.

[0003] The prior art (a patent for invention with the publication number of CN111371194A) discloses a wireless charging intelligent lock system. By optimizing the structure of the intelligent lock body and setting a wireless charging device, the charging of the intelligent lock body becomes more convenient and fast. During the process of wirelessly charging the intelligent lock in the prior art, only the switch of wireless charging is controlled, and the efficiency of wireless charging cannot be monitored in real time, resulting in poor wireless charging effect. Therefore, there is an urgent need for a wireless charging system for an electric intelligent lock. Summary of the Invention

[0004] The present invention aims to solve at least one of the technical problems existing in the prior art. For this purpose, the present invention provides a wireless charging system for an electric intelligent lock, which is used to solve the technical problem that in the process of wirelessly charging an intelligent lock in the prior art, only the switch of wireless charging is controlled, and the efficiency of wireless charging cannot be monitored in real time, resulting in poor wireless charging effect.

[0005] The present invention determines whether the conditions for wireless charging are met, and during the process of wirelessly charging the intelligent lock body, the control module evaluates the charging efficiency according to the output power of the charging transmitting end, either according to the output power or by combining the output power with the power of the energy storage unit. On the basis of ensuring the conditions for wireless charging, the wireless charging efficiency is monitored in real time, thereby improving the wireless charging effect.

[0006] To achieve the above object, the first aspect of the present invention provides a wireless charging system for an electric intelligent lock, including an intelligent lock body, a charging transmitting end cooperating with the charging receiving end inside the intelligent lock body, and a monitoring module for monitoring the wireless charging of the intelligent lock body;

[0007] The charging transmitting end includes a controller one, an induction coil one, a voltage regulator, a driver, and a sensor, and the charging receiving end includes a controller two, an induction coil two, a rectifying circuit, and an energy storage unit; wherein, the induction coil one and the induction coil two cooperate with each other, and data interaction is carried out between the controller one and the controller two;

[0008] During the wireless charging process of the intelligent lock body, the control module obtains the output power of the charging transmitter in real time through a sensor, analyzes the output power to obtain the charging efficiency, or evaluates the charging efficiency in combination with the power of the energy storage unit.

[0009] Preferably, the charging transmitter is arranged in the intelligent key supporting the intelligent lock body;

[0010] The intelligent key is built with a Bluetooth communication unit and conducts data interaction with the intelligent terminal through the Bluetooth communication unit; among them, the intelligent terminal includes a smart phone or a computer.

[0011] Preferably, a power supply unit is arranged in the intelligent key, and the power supply unit works in coordination with the charging transmitter; among them, the power supply unit is charged in a wired manner.

[0012] Preferably, before wirelessly charging the intelligent lock body, a charging signal is generated according to the power of the energy storage unit;

[0013] After receiving the charging signal, the intelligent key detects the power supply unit and starts wireless charging according to the detection result.

[0014] Preferably, the control module evaluates the charging efficiency according to the output power of the charging transmitter, including:

[0015] Obtain the output power of the charging transmitter in real time;

[0016] When the output power is within the preset range, obtain the mean square deviation of the output power within the set period;

[0017] When the mean square deviation is less than the variance threshold, it is determined that the wireless charging efficiency is normal; among them, the variance threshold is set according to experience.

[0018] Preferably, the control module evaluates the charging efficiency according to the power of the energy storage unit and the output power of the charging transmitter, including:

[0019] Obtain the power mean value of the output power of the charging transmitter per unit time and the power increase value of the energy storage unit; among them, the unit time includes one second, one minute, and a quarter of an hour;

[0020] Obtain the corresponding standard power increase value according to the power mean value and the power-electricity curve; among them, the power-electricity curve is established according to the characteristics of wireless charging and empirical data;

[0021] When the absolute value of the difference between the standard power increase value and the power increase value is less than the corresponding difference threshold, it is determined that the charging efficiency is normal; among them, the difference threshold is set according to actual experience.

[0022] Preferably, combining the power mean value with an efficiency evaluation model to evaluate the charging efficiency includes:

[0023] Obtain the power mean value and the environmental data where the intelligent lock body is located; wherein, the environmental data includes temperature and humidity;

[0024] Integrate and input the power mean value and the environmental data into the efficiency evaluation model to obtain the corresponding standard power increment; wherein, the efficiency evaluation model is established based on an artificial intelligence model;

[0025] Compare the standard power increment with the power increment to determine whether the charging efficiency is abnormal.

[0026] Preferably, establishing an efficiency evaluation model based on an artificial intelligence model includes:

[0027] Obtain standard training data; wherein, the standard training data is obtained in a laboratory, and the standard training data includes temperature, humidity, the power mean value per unit time, and the corresponding standard power increment;

[0028] Train the constructed artificial intelligence model with the standard training data, mark the trained artificial intelligence model as a state evaluation model, and store the state evaluation model in the control system.

[0029] Compared with the prior art, the beneficial effects of the present invention are:

[0030] 1. The present invention determines whether the wireless charging condition is met, and during the wireless charging process of the intelligent lock body, the control module evaluates the charging efficiency according to the output power of the charging transmitting end, or evaluates the charging efficiency by combining the output power with the power of the energy storage unit. On the basis of ensuring the wireless charging condition, the wireless charging efficiency is monitored in real time, thereby improving the wireless charging effect.

[0031] 2. The present invention can evaluate the charging efficiency according to the output power of the charging transmitting end, and the evaluation process is simple. It can also evaluate the charging efficiency by combining the power of the energy storage unit and the artificial intelligence model, etc., with high evaluation accuracy, making the application scope of the present invention wider and capable of adapting to different requirements. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for the description of the embodiments or the prior art. Obviously, the following drawings are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings.

[0033] Figure 1 It is a schematic structural diagram of the charging transmitting end and the charging receiving end of the present invention.

[0034] Figure 2 This is a schematic diagram of the working steps of the present invention. Specific embodiments

[0035] The technical solutions of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of them. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative work belong to the scope of protection of the present invention.

[0036] The prior art (a patent for invention with the publication number CN111371194A) discloses a wireless charging intelligent lock system. By optimizing the structure of the intelligent lock body and setting a wireless charging device, the charging of the intelligent lock body becomes more convenient and fast. During the wireless charging process of the intelligent lock in the prior art, only the switch of the wireless charging is controlled to determine whether to perform wireless charging, and the efficiency of the wireless charging cannot be monitored in real time, resulting in poor wireless charging effect.

[0037] The present invention determines whether the conditions for wireless charging are met, and during the wireless charging process of the intelligent lock body, the control module evaluates the charging efficiency according to the output power of the charging transmitting end, either according to the output power or by combining the output power with the power of the energy storage unit. On the basis of ensuring the conditions for wireless charging, the wireless charging efficiency is monitored in real time, thereby improving the wireless charging effect.

[0038] Please refer to Figure 1 - Figure 2 , an embodiment of the first aspect of the present application provides a wireless charging system for a power intelligent lock, including an intelligent lock body, a charging transmitting end cooperating with the charging receiving end inside the intelligent lock body, and a monitoring module for monitoring the wireless charging of the intelligent lock body;

[0039] The charging transmitting end includes a controller one, an induction coil one, a voltage regulator, a driver, and a sensor, and the charging receiving end includes a controller two, an induction coil two, a rectifying circuit, and an energy storage unit; wherein, the induction coil one and the induction coil two cooperate with each other, and data interaction is carried out between the controller one and the controller two;

[0040] During the wireless charging process of the intelligent lock body, the control module obtains the output power of the charging transmitting end in real time through the sensor, analyzes the output power to obtain the charging efficiency, or evaluates the charging efficiency in combination with the power of the energy storage unit.

[0041] In the present application, the charging transmitting end and the charging receiving end cooperate to complete the work of wireless charging. The induction coil one and the induction coil two cooperate with each other to generate an induction current to complete the wireless charging. It can be understood that data interaction can be carried out between the controller one and the controller two to complete the transmission of relevant data.

[0042] The sensors in this application mainly include current sensors and voltage sensors. In some other preferred embodiments, the sensors may further include temperature sensors, humidity sensors, and other sensors required during wireless charging.

[0043] Wireless charging in this application uses a magnetic field as the charging medium and the principle of electromagnetic induction as the basic principle. After obtaining electrical energy (power supply unit) at the charging transmitting end, the required DC voltage is obtained through voltage conversion. Then, this DC voltage directly enters the corresponding inverter to complete high-frequency inverter conversion. The converted high-frequency alternating current can directly flow into the air gap of the primary winding through the action of the feedback control signal and the compensation circuit, thereby generating a high-frequency alternating magnetic flux to complete wireless charging.

[0044] The wireless charging of this application uses the LC series resonance circuit of BQ500212A, the voltage and current detection circuit of INA199A1DCKR, and the RC delay circuit, etc. to invert the input current, generating a high-frequency alternating magnetic field of at least 100 kHz on the primary side at the charging transmitting end. At the BQ51013BRHLR receiver, due to the mutual coupling of the primary and secondary coils in the magnetic field, the power is transmitted from the charging transmitting end to the charging receiving end, thereby generating a corresponding induced current in the secondary coil, converting the magnetic field energy into electrical field energy, and then rectifying it. The receiving chip emits a DC voltage of 5V, and the receiving end controls the power size transmitted by sending a feedback signal to the charging transmitting end.

[0045] In this application, a power supply unit is provided in the smart key, and the power supply unit works in cooperation with the charging transmitting end; among them, the power supply unit is charged by a wired method.

[0046] Specifically, the power supply unit can be a lithium battery. The lithium battery provides electrical energy for the wireless charging system to ensure that the charging transmitting end and the charging receiving end can complete wireless charging, and the lithium battery is charged by a wired method.

[0047] In this application, before wirelessly charging the smart lock body, a charging signal is generated according to the power of the energy storage unit;

[0048] After the smart key receives the charging signal, it detects the power supply unit and starts wireless charging according to the detection result.

[0049] Before performing wireless charging, it is necessary to detect the power in the energy storage unit. When the power of the energy storage unit cannot meet the operation of the smart lock body or is lower than the set power threshold, a charging signal can be generated.

[0050] After the smart key receives the charging signal, it is also necessary to detect the power supply unit to ensure that the electrical energy of the power supply unit can complete wireless charging. It should be noted that the detection of the power supply unit should be carried out regularly to avoid insufficient electrical energy of the power supply unit when wireless charging is required.

[0051] In a preferred embodiment, the control module evaluates the charging efficiency according to the output power of the charging transmitter, including:

[0052] Obtain the output power of the charging transmitter in real time;

[0053] When the output power is within the preset range, obtain the mean square deviation of the output power within the set period;

[0054] When the mean square deviation is less than the variance threshold, it is determined that the wireless charging efficiency is normal.

[0055] In this embodiment, the real-time output power is determined to be normal by comparing the output power of the charging transmitter with the preset range. When the real-time output power is normal, the mean square deviation of the output power within the set period is obtained for further verification.

[0056] The following is an example to illustrate this embodiment:

[0057] Suppose the preset range is [4.5, 5.5], unit W, and the set period is one minute;

[0058] When the real-time collected output power is not within the preset range, it is determined that the output power is abnormal; when the output power is within the preset range, the mean square deviation of the output power within one minute is obtained, and the charging efficiency is evaluated by comparing the mean square deviation with the variance threshold.

[0059] It should be noted that during the process of wireless charging, due to the consideration of protecting the energy storage unit, the charging efficiency is different in different stages. Therefore, in this embodiment, when determining the charging efficiency, the stable state of the output power of the charging transmitter should be selected, rather than the stage where the output power changes suddenly, to ensure accurate evaluation of the charging efficiency. It can be understood that the variance thresholds corresponding to different stages are different, so the variance threshold needs to be set according to experience.

[0060] In a preferred embodiment, the control module evaluates the charging efficiency according to the output powers of the energy storage unit and the charging transmitter, including:

[0061] Obtain the power mean value of the output power of the charging transmitter per unit time, and the power increment of the energy storage unit;

[0062] Obtain the corresponding standard power increment according to the power mean value and the power-electricity curve;

[0063] When the absolute value of the difference between the standard power increment and the actual power increment is less than the corresponding difference threshold, it is determined that the charging efficiency is normal.

[0064] In this embodiment, the charging efficiency is evaluated from the mapping relationship between the charging transmitter and the charging receiver. The power increment of the energy storage unit, that is, the standard power increment, is predicted according to the output power of the charging transmitter per unit time, and then compared with the actual power increment of the energy storage unit to evaluate the charging efficiency.

[0065] The power-electricity curve in this embodiment is established based on the characteristics of wireless charging and empirical data; the characteristics of wireless charging refer to that during the wireless charging process, the output power does not change linearly, and the power increment does not change linearly either, so the power-electricity curve can be established in segments.

[0066] The empirical data is the average power per unit time and the corresponding power increment of the energy storage unit obtained by simulation in the laboratory under standard conditions. The independent variable and the dependent variable in the empirical data are determined, and then the power-electricity curve can be obtained by combining the parameter fitting method; the standard conditions refer to that the temperature, humidity, etc. meet the normal working environment of the intelligent lock body.

[0067] In some other preferred embodiments, a look-up table representing the corresponding relationship between the average power per unit time (which can also include the corresponding environmental data) and the power increment can be established according to the empirical data, and the corresponding standard power increment can be obtained by interpolation.

[0068] In a preferred embodiment, the average power is combined with the efficiency evaluation model to evaluate the charging efficiency, including:

[0069] Obtain the average power and the environmental data where the intelligent lock body is located;

[0070] Integrate the average power and the environmental data and input them into the efficiency evaluation model to obtain the corresponding standard power increment;

[0071] Compare the standard power increment with the power increment to determine whether the charging efficiency is abnormal.

[0072] Based on the above embodiment, this embodiment takes into account the influence of environmental data (temperature, humidity, etc.) on the wireless charging process. The environmental data in this embodiment can be obtained through corresponding sensors or set manually; in this embodiment, the average power per unit time and the environmental data are concatenated to form the input data of the efficiency evaluation model.

[0073] In a specific embodiment, an efficiency evaluation model is established based on an artificial intelligence model, including:

[0074] Obtain standard training data;

[0075] Train the constructed artificial intelligence model with standard training data, mark the trained artificial intelligence model as a state evaluation model, and store the state evaluation model in the control system.

[0076] In this embodiment, the standard training data is obtained in the laboratory, and the standard training data includes temperature, humidity, the average power per unit time, and the corresponding standard power increment. Make full use of the non-linear fitting ability of the artificial intelligence model to obtain the corresponding standard power increment.

[0077] The artificial intelligence model includes a deep convolutional neural network model, an RBF neural network model, etc. The efficiency evaluation model needs to be updated regularly (the standard training data will be updated in a timely manner) and stored in the control system.

[0078] It should be noted that the data generated during the wireless charging process of this application is sent to the intelligent terminal through the Bluetooth communication unit.

[0079] The working principle of the present invention:

[0080] Before wirelessly charging the intelligent lock body, generate a charging signal according to the power of the energy storage unit; after the intelligent key receives the charging signal, detect the power supply unit and start wireless charging according to the detection result.

[0081] During the wireless charging process of the intelligent lock body, the control module obtains the output power of the charging transmitter in real time through the sensor, analyzes the output power to obtain the charging efficiency, or evaluates the charging efficiency in combination with the power of the energy storage unit.

[0082] The above embodiments are only used to illustrate the technical method of the present invention and not to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical method of the present invention can be modified or equivalently replaced without departing from the spirit and scope of the technical method of the present invention.

Claims

1. The wireless charging system for an electric intelligent lock includes an intelligent lock body, a charging transmitter that cooperates with the charging receiver inside the intelligent lock body, and a monitoring module for monitoring the wireless charging of the intelligent lock body, and is characterized in that: The charging transmitter includes a first controller, a first induction coil, a voltage regulator, a driver, and a sensor, and the charging receiver includes a second controller, a second induction coil, a rectification circuit, and an energy storage unit; wherein, the first induction coil and the second induction coil cooperate with each other, and data interaction occurs between the first controller and the second controller; During the wireless charging process of the intelligent lock body, the control module obtains the output power of the charging transmitter in real time through the sensor, and evaluates the charging efficiency in combination with the power of the energy storage unit; The control module evaluates the charging efficiency according to the output power of the energy storage unit and the charging transmitter, including: Obtaining the power mean value of the output power of the charging transmitter per unit time, and the power increment of the energy storage unit; wherein, the unit time includes one second, one minute, and a quarter of an hour; Obtaining the corresponding standard power increment according to the power mean value and the power-electricity curve; wherein, the power-electricity curve is established according to the characteristics of wireless charging and empirical data; When the absolute value of the difference between the standard power increment and the power increment is less than the corresponding difference threshold, it is determined that the charging efficiency is normal; wherein, the difference threshold is set according to actual experience; Combining the power mean value with the efficiency evaluation model to evaluate the charging efficiency, including: Obtaining the power mean value and the environmental data where the intelligent lock body is located; wherein, the environmental data includes temperature and humidity; Integrating the power mean value and the environmental data and inputting them into the efficiency evaluation model to obtain the corresponding standard power increment; wherein, the efficiency evaluation model is established based on an artificial intelligence model; Comparing the standard power increment with the power increment to determine whether the charging efficiency is abnormal.

2. The wireless charging system for an electric intelligent lock according to claim 1, characterized in that The charging transmitter is arranged in the intelligent key supporting the intelligent lock body; The intelligent key is built-in with a Bluetooth communication unit, and data interaction is carried out with the intelligent terminal through the Bluetooth communication unit; wherein, the intelligent terminal includes a smart phone or a computer.

3. The wireless charging system for an electric intelligent lock according to claim 2, characterized in that A power supply unit is arranged in the intelligent key, and the power supply unit works in cooperation with the charging transmitter; wherein, the power supply unit is charged by a wired method.

4. The wireless charging system for an electric intelligent lock according to claim 3, characterized in that Before wirelessly charging the intelligent lock body, a charging signal is generated according to the power of the energy storage unit; After the intelligent key receives the charging signal, it detects the power supply unit and starts wireless charging according to the detection result.

5. The wireless charging system for an electric intelligent lock according to claim 1, characterized in that Establishing an efficiency evaluation model based on an artificial intelligence model, including: Obtaining standard training data; wherein, the standard training data is obtained in the laboratory, and the standard training data includes temperature, humidity, the power mean value per unit time, and the corresponding standard power increment; Training the constructed artificial intelligence model with the standard training data, marking the trained artificial intelligence model as the state evaluation model, and storing the state evaluation model in the control system.

Citation Information

Patent Citations

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    CN111371194A

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    CN106451803A