Anti-radiation system and method for wireless charging pile of electric bicycle

Abstract

The invention discloses an electric bicycle wireless charging pile anti-radiation system which comprises 1) a charging pile which comprises a fixed part and a lifting part; the fixing part comprises a bottom end shell and an automatic lifting mechanism arranged in the bottom end shell; a top end shell is arranged on the periphery of the lifting part, and a transmitting end coil and an alignment detection module are arranged in the top end shell; the alignment front end is matched with the alignment detection module and used for completing accurate alignment of a transmitting end coil and a receiving end coil of the electric bicycle; and the biological detection device is arranged on the charging pile or near the charging pile and is used for detecting whether living bodies such as people or animals exist in the short-distance range of the charging pile or not. According to the anti-radiation system and method for the wireless charging pile of the electric bicycle, the safety and the charging efficiency are improved, and electromagnetic radiation leakage is reduced.

Description

Technical Field

[0001] The invention relates to the field of wireless charging piles, and in particular to a radiation protection system and method for a wireless charging pile of an electric bicycle. Background Art

[0002] With the rapid development and popularization of wireless charging technology, the charging method of electric bicycles has gradually evolved towards a more convenient and efficient direction. As a charging method with great potential, wireless charging technology for electric bicycles has gradually attracted people's attention.

[0003] Wireless charging technology transfers energy through electromagnetic waves between the transmitter and the receiver, realizing the wireless transmission of electrical energy. In the field of electric bicycle charging, while wireless charging technology brings convenience, it also faces some technical challenges and safety issues.

[0004] Among them, the problem of electromagnetic radiation is an aspect that needs to be focused on in the wireless charging technology of electric bicycles. During the wireless charging process, energy is transferred between the transmitter and the receiver through electromagnetic waves. If the design is improper or the operation is wrong, it may cause electromagnetic radiation leakage, causing potential harm to humans, cats, dogs, poultry and the environment, and also reducing the efficiency of charging. Especially in the application scenario of wireless charging piles for electric bicycles, since the charging piles are usually set up in public places or residential areas, their electromagnetic radiation problems are more concerned.

[0005] Therefore, developing a wireless charging pile radiation protection system and method that can monitor the presence of organisms near the charging pile in real time and automatically adjust the charging status is of great significance for ensuring safety. Summary of the invention

[0006] The present invention proposes a radiation protection system and method for an electric bicycle wireless charging pile, aiming to solve the electromagnetic radiation and biological safety problems existing in the field of electric bicycle charging using wireless charging technology through precise alignment, real-time monitoring of biological presence and effective radiation control measures, thereby improving charging efficiency and safety of use.

[0007] The first object of the present invention is to provide an electric bicycle wireless charging pile radiation protection system, comprising:

[0008] 1) A charging pile, the charging pile comprising a fixed part and a lifting part; the fixed part comprises a bottom shell and an automatic lifting mechanism arranged therein; a top shell is arranged outside the lifting part, and a transmitting end coil and a positioning detection module are arranged inside the top shell;

[0009] 2) An alignment front end, which cooperates with the alignment detection module to complete the precise alignment of the transmitting end coil and the receiving end coil of the electric bicycle;

[0010] 3) A biological detection device is arranged on or near the charging pile to detect whether there are biological bodies such as humans or animals within a close range of the charging pile.

[0011] Preferably, the biological detection device includes an electromagnetic wave radar system, and / or a thermal induction radar system, and / or an ultrasonic system.

[0012] Preferably, the biological detection device is arranged at one or a combination of the following positions: inside the fixed part of the charging pile, on the surface of the lifting part of the charging pile, and on the ground around the charging pile.

[0013] The second object of the present invention is to provide an electric bicycle wireless charging pile radiation protection method, which is applied to the above-mentioned electric bicycle wireless charging pile radiation protection system, comprising the following steps:

[0014] 1) The electric vehicle enters the charging station;

[0015] 2) The alignment front end displays the alignment information of the transmitter coil of the charging pile and the receiver coil of the electric bicycle, and the user aligns the receiver coil with the transmitter coil;

[0016] 3) The biological detection device uses biological detection methods to determine whether there are biological organisms in the close range. If there are biological organisms, the automatic lifting mechanism of the charging pile will suspend work first;

[0017] 4) When the biological detection device detects that there is no living thing within the close range of the charging pile, the automatic lifting mechanism of the charging pile pushes the lifting part up according to the position of the receiving coil of the electric bicycle, driving the transmitting coil to the vicinity of the receiving coil;

[0018] 5) The charging pile reads the information of the electric bicycle and selects appropriate charging parameters for charging;

[0019] 6) During the charging process, biological detection is continuously performed within a close range through biological detection methods. When a biological entry is detected, the charging pile stops supplying power to the transmitting coil; when the biological leaves the close range of the charging pile, the charging pile continues to supply power to the transmitting coil;

[0020] 7) The charging station determines that the battery of the electric bicycle is fully charged and stops charging.

[0021] Preferably, the biological detection method comprises the following steps:

[0022] 1) Setting detection parameters of the biological detection device, wherein the detection parameters include detection resolution, micro-motion detection threshold, static duration and energy threshold value;

[0023] 2) receiving data collected by the biological detection device and performing pre-processing;

[0024] 3) extracting features from the preprocessed data, wherein the features include distance features, speed features, micro-motion features, and stationary duration features;

[0025] 4) Build and train classification models for biological detection;

[0026] 5) Use the trained model to perform real-time biological detection and judgment.

[0027] Preferably, the classification model is a support vector machine model, or a decision tree and random forest model, or a neural network model, or a K nearest neighbor model.

[0028] The electric bicycle wireless charging pile radiation protection system and method of the present invention have the following beneficial effects:

[0029] 1) Through the precise alignment of the transmitting end coil and the receiving end coil of the electric bicycle, the present invention can improve the efficiency and accuracy of wireless charging.

[0030] 2) Use biological detection devices to monitor in real time whether there are living organisms such as humans or animals in the close range of the charging pile. Once a living organism is detected, the charging pile will automatically suspend operation, effectively avoiding the potential harm of electromagnetic radiation to organisms and improving the safety of the charging process.

[0031] 3) The wireless charging pile system of the present invention adopts a variety of biological detection technologies and high-precision alignment technologies, which can accurately control the transmission path and range of electromagnetic waves, thereby significantly reducing the leakage of electromagnetic radiation. This helps to protect the health of organisms and also meets the requirements of environmental protection and sustainable development.

[0032] In summary, the electric bicycle wireless charging pile radiation protection system and method of the present invention improves safety and charging efficiency and reduces electromagnetic radiation leakage. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] Figure 1 This is a module block diagram of an electric bicycle wireless charging station radiation protection system according to an embodiment of the present invention. DETAILED DESCRIPTION

[0034] In order to further understand the present invention, the embodiments of the present invention are described below in conjunction with examples, but it should be understood that these descriptions are only for further illustrating the features and advantages of the present invention, rather than limiting the claims of the present invention.

[0035] Embodiment 1

[0036] The embodiment of the present invention provides an electric bicycle wireless charging pile radiation protection system, such as Figure 1As shown, it includes a charging pile and an alignment front end. The charging pile includes a fixed part and a lifting part, and the fixed part includes a bottom shell and an automatic lifting mechanism arranged in the bottom shell. The outer periphery of the lifting part is a top shell, and the top shell is provided with a transmitting end coil and an alignment detection module. The alignment front end can be an APP or a small program set on a mobile phone. The alignment detection module cooperates with the alignment front end to display the alignment of the transmitting end coil and the receiving end coil on the mobile phone interface, guide the user to fine-tune the position of the receiving end coil, complete the precise alignment of the transmitting end coil and the receiving end coil of the electric bicycle, improve the charging efficiency and reduce the radiation leakage.

[0037] The radiation protection system also includes a biological detection device, which is used to detect whether there are people, cats, dogs, poultry and other animals in the close range of the charging pile, so as to prevent the charging pile from generating electromagnetic radiation to people or animals.

[0038] The biological detection device includes an electromagnetic wave radar system, and / or a thermal induction radar system, and / or an ultrasonic system.

[0039] 1) Electromagnetic wave radar system. Electromagnetic wave radar is a high-precision, high-resolution detection technology suitable for detecting objects within a short distance. By emitting electromagnetic wave signals and receiving the reflected signals, the distance, speed, angle and other information of the object can be calculated. In the radiation protection of the wireless charging pile of electric bicycles, for example, a millimeter wave radar with a frequency of 24GHz can be used to detect whether there are people or animals near the charging pile.

[0040] 2) Thermal induction radar system. The infrared radiation of the target is used for detection and tracking. Since the body temperature of a person or animal is significantly different from that of the surrounding environment, thermal induction radar can be used for detection. A thermal induction radar is installed on the charging pile, and appropriate parameters or thresholds are set. When an animal is detected approaching and reaches or exceeds the threshold, the charging pile will act according to the predetermined procedure.

[0041] 3) Ultrasonic system, which detects the presence of living things by emitting ultrasonic waves and receiving the reflected signals. The accuracy of ultrasonic system is lower than that of electromagnetic wave radar system, but within a short distance, when applied to the radiation protection system of charging piles, the detection accuracy in distinguishing between stationary objects and moving objects can still meet the detection requirements.

[0042] In the embodiment of the present invention, a biological detection device is used to accurately and timely detect whether there is a biological body such as a person or an animal within a close range of the charging pile. The biological detection device can be set at the following positions:

[0043] 1) Inside the fixed part of the charging pile;

[0044] 2) The surface of the lifting part of the charging pile;

[0045] 3) The ground around the charging pile.

[0046] The setting of the biological detection device should ensure that the biological detection device has a wide detection range and is easily triggered by the user of the charging pile or the surrounding organisms. At the same time, the signal penetration ability needs to be considered, and the sturdy and durable design should be considered to cope with possible trampling or damage.

[0047] The embodiment of the present invention provides an electric bicycle wireless charging radiation protection system, which improves the charging efficiency and the safety of the system through precise alignment, biological detection and other technologies.

[0048] Embodiment 2.

[0049] An embodiment of the present invention provides a wireless charging radiation protection method for an electric bicycle, in the aforementioned wireless charging radiation protection system for an electric bicycle, comprising the following steps:

[0050] S1. The electric vehicle enters the charging station position.

[0051] S2. The alignment front end displays the alignment information of the transmitting coil of the charging pile and the receiving coil of the electric bicycle, and the user aligns the receiving coil with the transmitting coil.

[0052] S3. The biological detection device uses biological detection methods to determine whether there are any living organisms within a short distance. If there are living organisms, the automatic lifting mechanism of the charging pile will suspend work.

[0053] S4. When the biological detection device uses the biological detection method and detects that there is no living thing within the close range of the charging pile, the automatic lifting mechanism of the charging pile pushes the lifting part up according to the position of the receiving coil of the electric bicycle, driving the transmitting coil to the vicinity of the receiving coil.

[0054] S5. The charging pile reads the information of the electric bicycle and selects appropriate charging parameters for charging.

[0055] S6. During the charging process, the biological detection method is used to continuously perform biological detection within a close range. When a biological entry is detected, the charging pile stops supplying power to the transmitting coil. When the biological leaves the close range of the charging pile, the charging pile continues to supply power to the transmitting coil.

[0056] S7. The charging station determines that the battery of the electric bicycle is fully charged and stops charging.

[0057] The biological detection method of the embodiment of the present invention uses a biological detection device to determine whether there is a biological being within the close range of the charging pile, and outputs a Yes or No judgment. The biological detection method can be implemented by the following steps:

[0058] 1) Set the detection parameters of the biological detection device. These parameters include:

[0059] a) Detection resolution: It determines the minimum distance at which the biological detection device can distinguish between two adjacent targets. For example, when using millimeter wave radar, it usually has a higher detection resolution due to its high operating frequency. This high resolution enables the millimeter wave radar to more accurately identify information such as the location, speed and shape of the target object.

[0060] b) Micro-motion detection threshold, which refers to the minimum amplitude that can detect the slight movement of the target object. When the movement amplitude of the target object is smaller than this threshold, the biological detection device may not be able to accurately detect its movement. The purpose of setting the micro-motion detection threshold is to distinguish between stationary targets and slightly moving targets.

[0061] c) Stillness duration, which refers to the length of time that the biological detection device continues to consider the target object to be still after detecting that the target object is still. The stillness duration setting is used to determine whether the target object is truly still.

[0062] d) Energy threshold value, which refers to the minimum energy value used by the biodetection device to determine whether the signal is valid after receiving the signal. When the energy of the signal is less than this threshold, the biodetection device may consider the signal to be invalid or noise interference. By setting the energy threshold value reasonably, noise interference and invalid signals can be filtered out, thereby improving the detection performance and stability of the biodetection device.

[0063] It should be noted that specific parameters can also be set for specific biological detection devices. For example, for thermal sensing radar systems, temperature thresholds can also be set, because the body temperature of these organisms is usually significantly different from the surrounding environment. Once the temperature of the organism is detected to exceed the set threshold, the system can immediately determine that the organism has entered and trigger a safety mechanism, such as suspending the operation of the charging pile, thereby effectively avoiding potential harm to the organism caused by electromagnetic radiation.

[0064] 2) Receive data from the biological detection device and perform pre-processing.

[0065] Preprocessing includes data cleaning and data format conversion. Due to environmental interference, equipment operation and other reasons, some abnormal or invalid data may be generated. Before data analysis, these data need to be cleaned. In addition, for abnormal fluctuation data caused by sensor jitter or environmental interference, smoothing can be performed to improve data accuracy. After data cleaning, the raw data output by the biological detection device is converted into a format that is easy to analyze.

[0066] 3) Extract features from the preprocessed data. The features that can be extracted include:

[0067] a) Distance feature: Analyze the target distance information detected by the biological detection device to determine whether the target is within the set detection range.

[0068] b) Speed ​​characteristics: analyzing the target’s moving speed and distinguishing organisms from static or slow-moving objects in the environment.

[0069] c) Micro-motion features: extracting the target’s micro-motion information, such as breathing, heartbeat, etc., which is the key feature to distinguish between living and non-living objects.

[0070] d) Stillness duration feature: analyzing whether the target remains still for a period of time, which is useful for distinguishing organisms from static objects.

[0071] 4) Build and train models for biological detection.

[0072] According to the characteristics of the biological detection device data and the needs of biological detection, the appropriate algorithm is selected to build the model, such as classification algorithm, clustering algorithm, etc. Then, the model is trained using known biological and non-biological data so that the model can accurately identify the presence of organisms. Finally, the performance of the model is evaluated through cross-validation, accuracy and other indicators, and the model is optimized based on the evaluation results.

[0073] In the embodiment of the present invention, for biological detection, to confirm whether there are people or animals near the charging pile, the models that can be selected are:

[0074] a) Support Vector Machine (SVM) model: The advantage is that it performs well in high-dimensional space and can find the optimal hyperplane to separate data of different categories. It is suitable for situations where there are many data features and clear category boundaries. In biological detection, when the data has clear category boundaries and high feature dimensions, SVM can be an effective choice.

[0075] b) Decision tree and random forest models have the advantage that the model is easy to understand and can improve classification accuracy and robustness by combining multiple decision trees. They are suitable for situations where there are many data features and the model needs to be interpretable. In biological testing, the data features are complex and the model needs to be interpretable. Decision trees or random forests can be a suitable choice.

[0076] c) Neural network model, which can learn the feature representation and classification rules of data through training, is suitable for situations where the amount of data is large and the feature relationship is complex. In biological detection, the data has complex nonlinear relationships and the amount of data is large, and neural network is a powerful tool that can be used.

[0077] d) K-nearest neighbor (KNN) model has the advantages of simple algorithm, easy implementation, and no training phase. In biological detection, when the data volume and category boundaries are not clear, KNN is a good choice.

[0078] The specific settings of these algorithms are relatively mature technologies and will not be described in detail in the embodiments of the present invention.

[0079] 5) Use the trained model to perform real-time biological detection and judgment. Input the data collected by the biological detection device in real time into the trained model. The model predicts the input data and determines whether there is a living organism within the close range of the charging pile. Based on the prediction results of the model, the judgment result is output, such as "Yes-living organism exists" or "No-living organism does not exist".

[0080] The embodiment of the present invention provides a method for preventing radiation during wireless charging of an electric bicycle. By using a biological detection method, people and animals that enter the vicinity of a charging pile are judged to avoid electromagnetic radiation damage to them.

[0081] The above embodiments are only used to help understand the method and core idea of ​​the present invention. It should be noted that, for those skilled in the art, several improvements and modifications can be made to the present invention without departing from the principles of the present invention, and these improvements and modifications also fall within the scope of protection of the claims of the present invention.

Claims

1. An electric bicycle wireless charging pile radiation protection system, characterized in that: include: 1) A charging pile, the charging pile comprising a fixed part and a lifting part; the fixed part comprises a bottom shell and an automatic lifting mechanism arranged therein; a top shell is arranged outside the lifting part, and a transmitting end coil and a positioning detection module are arranged inside the top shell; 2) An alignment front end, which cooperates with the alignment detection module to complete the precise alignment of the transmitting end coil and the receiving end coil of the electric bicycle; 3) A biological detection device is arranged on or near the charging pile to detect whether there is a person or animal within a close range of the charging pile.

2. The electric bicycle wireless charging pile radiation protection system according to claim 1, characterized in that: The biological detection device includes an electromagnetic wave radar system, and / or a thermal induction radar system, and / or an ultrasonic system.

3. The electric bicycle wireless charging pile radiation protection system according to claim 1 or 2, characterized in that: The biological detection device is arranged at one or a combination of the following positions: inside the fixed part of the charging pile, on the surface of the lifting part of the charging pile, and on the ground around the charging pile.

4. A method for preventing radiation from wireless charging of an electric bicycle, applied to the anti-radiation system for wireless charging pile of an electric bicycle according to any one of claims 1 to 3, characterized in that: The following steps are involved: 1) The electric vehicle enters the charging station; 2) The alignment front end displays the alignment information of the transmitter coil of the charging pile and the receiver coil of the electric bicycle, and the user aligns the receiver coil with the transmitter coil; 3) The biological detection device uses biological detection methods to determine whether there are biological organisms in the close range. If there are biological organisms, the automatic lifting mechanism of the charging pile will suspend work first; 4) When the biological detection device detects that there is no living thing within the close range of the charging pile, the automatic lifting mechanism of the charging pile pushes the lifting part up according to the position of the receiving coil of the electric bicycle, driving the transmitting coil to the vicinity of the receiving coil; 5) The charging pile reads the information of the electric bicycle and selects appropriate charging parameters for charging; 6) During the charging process, biological detection is continuously performed within a close range through biological detection methods. When a biological entry is detected, the charging pile stops supplying power to the transmitting coil; when the biological leaves the close range of the charging pile, the charging pile continues to supply power to the transmitting coil; 7) The charging station determines that the battery of the electric bicycle is fully charged and stops charging.

5. The method for preventing radiation when wirelessly charging an electric bicycle according to claim 4, characterized in that: The biological detection method comprises the following steps: 1) Setting detection parameters of the biological detection device, wherein the detection parameters include detection resolution, micro-motion detection threshold, static duration and energy threshold value; 2) receiving data collected by the biological detection device and performing pre-processing; 3) extracting features from the data obtained by preprocessing, wherein the features include distance features, speed features, micro-motion features, and stationary duration features; 4) Build and train classification models for biological detection; 5) Use the trained model to perform real-time biological detection and judgment.

6. The method for preventing radiation when wirelessly charging an electric bicycle according to claim 4 or 5, characterized in that: The classification model is a support vector machine model, or a decision tree and random forest model, or a neural network model, or a K nearest neighbor model.

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