Non-contact energy transmission system radial position offset amplitude identification method and system

Abstract

The invention provides a non-contact energy transmission system radial position offset amplitude identification method and system, and the method comprises the steps: fitting a load voltage and a horizontal offset function according to a calibrated load voltage grade, carrying out the interpolation processing according to a load voltage value of a real-time system, and obtaining a horizontal displacement offset scale, the method comprises the following steps: S1, calibrating a load voltage reference value VO-0 of a system when centers of a transmitting end antenna and a receiving end antenna are aligned; s2, in the system operation process, the actual value VO of load voltage is monitored in real time, the load voltage ratio KV is calculated, and KV = (VO-0-VO) / VO-0; and S3, according to the load voltage ratio KV, based on a preset mapping relation between the load voltage ratio and the horizontal position offset, the current radial horizontal position offset is determined through calculation.

Description

Technical Field

[0001] This invention relates to the field of contactless power transmission, and more specifically, to a method and system for identifying the radial position offset amplitude of a contactless energy transmission system. Background Technology

[0002] Non-contact power transfer technology, as a safe and convenient power supply solution, has been widely used in many fields such as consumer electronics, smart homes, electric vehicles, and industrial robots. This technology achieves contactless power transfer through electromagnetic field coupling, and one of the core determinants of its system performance is the relative position between the transmitting and receiving antennas.

[0003] In practical applications, radial horizontal misalignment between antennas is a frequent and unavoidable phenomenon due to installation errors, mechanical vibrations, or inaccurate placement. This misalignment alters the mutual inductance between the two coils, leading to a decrease in the system coupling coefficient, changes in reflection impedance, and ultimately, a severe deterioration in system transmission efficiency and output power. Therefore, rapid and accurate identification of the horizontal misalignment between antennas is a crucial prerequisite for secondary position adjustments, optimization of system transmission performance, and improvement of user experience.

[0004] Currently, there are several methods for detecting antenna misalignment, but all have certain limitations. For example, methods that directly measure position using optical or magnetic field sensors require additional sensor arrays and signal conditioning circuits, which not only increases the complexity and hardware cost of the system, but also makes the measurement accuracy susceptible to environmental interference, and the reliability is difficult to guarantee in complex industrial or outdoor scenarios.

[0005] Another mainstream approach is based on circuit parameter identification, such as the wireless charging misalignment correction method described in patent application CN202311799549.7. This method determines alignment by detecting the coupling coefficient between the primary and secondary coils in the circuit. Specifically, it involves constructing a specific detection circuit containing the primary coil, resistors R1 and R2, capacitor C1, and the secondary coil, resistor R3, and capacitor C2. By measuring parameters such as supply voltage and current, the mutual inductance value M is calculated using a formula. The coupling coefficient is then derived and compared with the actual set coupling coefficient to drive the servo motor for correction.

[0006] However, such parameter-based identification methods have at least the following inherent drawbacks: 1. Complex additional detection networks, such as resistors and capacitors with specific connections, need to be designed specifically for the detection purpose, which significantly increases the number of components, circuit board area and overall cost of the system; 2. The identification process relies on the real-time calculation of mutual inductance M and coupling coefficient k, which involves complex number operations and places high demands on the processor's computing power, thus affecting the system's response speed. 3. The calculation accuracy is highly dependent on the accuracy of the circuit model and is easily affected by component parameter tolerances, temperature drift and external electromagnetic noise. Under light load or dynamic load conditions, the measurement signal-to-noise ratio is low and the identification reliability decreases. 4. Such methods can usually only make binary alignment judgments of "yes / no" or guide iterative search for alignment points, but cannot directly and quantitatively output specific horizontal misalignment scales, which limits their use in advanced application scenarios that require precise position feedback. Summary of the Invention

[0007] The purpose of this invention is to provide a method and system for identifying the radial position offset amplitude of a non-contact energy transmission system, which can overcome the above-mentioned defects. The method should have the characteristics of simple system structure, low identification cost, fast response speed, and the ability to achieve quantitative and high-precision offset identification, thereby providing a more direct and reliable basis for intelligent control and performance optimization of the system.

[0008] The embodiments of the present invention are implemented as follows: A method for identifying the radial position offset amplitude of a non-contact energy transfer system includes the following steps: S1: When the centers of the transmitting antenna and the receiving antenna are aligned, calibrate the load voltage reference value V of the system. O -0; S2: During system operation, monitor the actual load voltage V in real time. O And calculate the load voltage ratio K V K V =(V O -0-V O ) / V O -0; S3: Based on the load voltage ratio K V Based on the preset mapping relationship between load voltage ratio and horizontal position offset, the current radial horizontal position offset is determined by calculation.

[0009] In a preferred embodiment of the present invention, a calibration step is included before step S1: Under system operating conditions, a series of known radial horizontal position offsets δ are obtained in advance. i and the corresponding measured load voltage V Oi Calculate the load voltage ratio K under each offset. Vi =(V O -0 -V Oi ) / V O -0; Based on dataset { (δ i , K Vi Establish the load voltage ratio K. V The mapping relationship model between the radial horizontal position offset δ and the radial horizontal position offset δ.

[0010] In a preferred embodiment of the present invention, the method for establishing the mapping relationship model in the calibration step is as follows: using the least squares method to model the dataset {(δ)} i , K Vi Curve fitting is performed to obtain the load voltage ratio K. V The fitting function relationship with the radial horizontal position offset δ is δ = f(K V ).

[0011] In a preferred embodiment of the present invention, after obtaining the fitting function, the method further includes the step of: generating the load voltage ratio K using linear interpolation or cubic spline interpolation within the domain of the fitting function. V Interpolation lookup table with radial horizontal position offset δ.

[0012] In a preferred embodiment of the present invention, the specific method of S3 is as follows: the load voltage ratio K calculated in real time is used as the load voltage ratio. V The current radial horizontal position offset δ is obtained by searching in the interpolation lookup table or by linear interpolation.

[0013] In a preferred embodiment of the present invention, during the calibration step, the known radial horizontal position offset δ i The setting is based on the radius R of the transmitting or receiving antenna, including 0, 0.1R, 0.2R, 0.3R, 0.4R, and 0.5R.

[0014] In a preferred embodiment of the present invention, a verification step is also included: When the identified radial horizontal position offset δ is greater than a preset threshold, the position adjustment mechanism is triggered; After adjusting the position, monitor the actual load voltage V again. O ', and calculate the adjusted load voltage ratio K V If the adjusted load voltage is higher than K V If the difference between 1 and 0 is within the allowable error range, then the position offset identification and adjustment are deemed valid.

[0015] This invention also provides a radial position offset amplitude identification system for a non-contact energy transfer system, used to implement the identification method described in any of the foregoing claims, comprising: The transmitting end, including the transmitting antenna; The receiving end includes the receiving antenna and the load; A voltage detection circuit is used to detect the voltage across the load. The control unit, which is communicatively connected to the voltage detection circuit, is configured to perform the following operations: Storage load voltage reference value V O -0; Receive the actual load voltage V sent by the voltage detection circuit O ; Calculate the load voltage ratio K V ; According to the preset mapping relationship, by K V The radial horizontal position offset δ is calculated.

[0016] In a preferred embodiment of the present invention, the system further includes a position adjustment mechanism connected to the control unit, and the control unit is further configured to: when the calculated radial horizontal position offset δ exceeds a set threshold, control the position adjustment mechanism to operate so as to reduce the radial horizontal position offset between the transmitting antenna and the receiving antenna.

[0017] This invention also provides a computer-readable storage medium storing a computer program thereon, which, when executed by a processor, implements the steps of the radial position offset amplitude identification method for a non-contact energy transfer system as described in any of the preceding claims.

[0018] The beneficial effects of the embodiments of the present invention are: 1. This invention discovers a strong correlation between the load voltage, the final output state of the system, and the position offset, bypassing the tedious theoretical calculations and parameter identification process, and eliminating the dependence on complex circuit models, making the identification principle more direct and reliable. 2. Only the general voltage detection circuit that the system itself usually has is required. There is no need to change the main circuit topology or add expensive or complex sensors and excitation sources. This achieves seamless integration, simplifies the hardware circuit, and significantly reduces the system cost, size and design difficulty. 3. The invention utilizes pre-calibration and table lookup / interpolation, requiring only one division operation and one lookup / simple interpolation during the real-time identification phase, resulting in extremely high computational efficiency and faster response speed. Simultaneously, load voltage is one of the most stable and easily measurable macroscopic physical quantities in the system, with a high signal-to-noise ratio. Using it as an identification parameter leads to higher basic measurement accuracy and more stable and reliable results. Furthermore, the invention employs a verification step, allowing for verification of the effectiveness of the adjustment after identification and adjustment by re-measuring the load voltage ratio, forming a closed loop of identification-adjustment-verification, significantly improving the reliability and intelligence level of the entire system. Attached Figure Description

[0019] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings used in the embodiments will be briefly introduced below. It should be understood that the following drawings only show some embodiments of the present invention and should not be regarded as a limitation on the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0020] Figure 1 This is a flowchart of a method for identifying the radial horizontal position offset amplitude of a non-contact energy transmission system according to an embodiment of the present invention. Figure 2 This is a flowchart of the calibration steps in an embodiment of the present invention; Figure 3 This is a schematic diagram of the resonant capacitor matrix according to an embodiment of the present invention; Figure 4 This is a schematic diagram of the radial position offset amplitude recognition system of the non-contact energy transmission system according to an embodiment of the present invention; Figure reference numerals: 001 - Switching chip; 002 - Resonant capacitor; 1-Transmitter; 2-Receiver; 3-Voltage detection circuit; 4-Control unit. Detailed Implementation

[0021] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. The components of the embodiments of the present invention described and shown in the accompanying drawings can generally be arranged and designed in various different configurations.

[0022] Therefore, the following detailed description of the embodiments of the invention provided in the accompanying drawings is not intended to limit the scope of the claimed invention, but merely to illustrate selected embodiments of the invention. All other embodiments obtained by those skilled in the art based on the embodiments of the invention without inventive effort are within the scope of protection of the invention.

[0023] It should be noted that similar labels and letters in the following figures indicate similar items. Therefore, once an item is defined in one figure, it does not need to be further defined and explained in subsequent figures.

[0024] Exemplary embodiments will now be described more fully with reference to the accompanying drawings. However, these exemplary embodiments can be implemented in many forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided to make this application more comprehensive and complete, and to fully convey the concept of the exemplary embodiments to those skilled in the art.

[0025] Furthermore, the described features, structures, or characteristics can be combined in any suitable manner in one or more embodiments. Numerous specific details are provided in the following description to give a thorough understanding of embodiments of this application. However, those skilled in the art will recognize that the technical solutions of this application can be practiced without one or more of the specific details, or other methods, components, apparatuses, steps, etc., can be employed. In other instances, well-known methods, apparatuses, implementations, or operations are not shown or described in detail to avoid obscuring various aspects of this application.

[0026] The block diagrams shown in the accompanying drawings are merely functional entities and do not necessarily correspond to physically independent entities. That is, these functional entities can be implemented in software, in one or more hardware modules or integrated circuits, or in different network and / or processor devices and / or microcontroller devices.

[0027] The flowcharts shown in the accompanying drawings are merely illustrative and do not necessarily include all content and operations / steps, nor do they necessarily have to be performed in the described order. For example, some operations / steps can be broken down, while others can be combined or partially combined; therefore, the actual execution order may change depending on the specific circumstances.

[0028] First Embodiment Currently, common offset detection methods mainly rely on position sensors or circuit parameter identification. However, these methods typically require complex peripheral circuits, sometimes even more complex than the main circuit for contactless power transmission. This not only increases the overall cost of the system but also poses challenges to the reliability and economy of the circuit. For example, parameter identification-based methods often indirectly determine offset by detecting changes in the inductance of the transmission antenna, but their detection accuracy is easily affected by component parameter drift and electromagnetic interference.

[0029] Unlike the aforementioned solutions, this embodiment proposes a novel identification mechanism based on system feedback voltage. This scheme directly utilizes the inherent load voltage parameters during system operation, achieving accurate identification by establishing a mapping relationship between these parameters and the position offset. This method offers three significant advantages: first, high identification accuracy, avoiding accumulated errors introduced by intermediate parameter calculations; second, fast identification response speed, achieving millisecond-level real-time judgment; and third, short identification latency, consuming almost no additional system timing. Furthermore, voltage detection circuits are technically mature, widely applicable, and inexpensive, far superior to sensor solutions requiring special calibration and installation.

[0030] Please see Figure 1 and Figure 2This embodiment provides a method for identifying the radial horizontal position offset amplitude of a non-contact energy transmission system. This method can accurately quantify the horizontal misalignment scale between the transmitting and receiving antennas. Based on this quantitative information, the system can trigger corresponding closed-loop control strategies, such as driving the actuator to perform secondary adjustments to the relative positions of the antennas, thereby fundamentally optimizing the magnetic field coupling state and effectively improving the system's transmission performance and energy efficiency. This low-cost, high-precision misalignment information acquisition method greatly enhances the perception and control capabilities of the system's operating status, laying the foundation for intelligent operation and maintenance of the system. The method specifically includes the following steps: S1: When the centers of the transmitting antenna and the receiving antenna are aligned, calibrate the load voltage reference value V of the system. O -0; S2: During system operation, monitor the actual load voltage V in real time. O And calculate the load voltage ratio K V K V = (V) O -0-V O ) / V O -0, identify the current load voltage value and calculate the load voltage proportionality coefficient; S3: Based on the load voltage ratio K V Based on the preset mapping relationship between load voltage ratio and horizontal position offset, a horizontal offset function is fitted, and the current radial horizontal position offset is determined by calculation.

[0031] The core of this scheme is state mapping rather than parameter identification. By solving for the parameters of complex circuit models, a direct and intuitive mapping relationship of physical quantities is established. Through steps S1 and S2, the real-time load voltage is converted into a load voltage ratio. This operation cleverly eliminates common-cause interference such as input voltage fluctuations and load changes, making K... V It becomes a pure characteristic value that primarily reflects the antenna coupling state.

[0032] The preset mapping relationship relied upon in step S3 is an empirical model, such as a fitted curve or lookup table, established through prior calibration. This model is directly related to the system's output characteristic K. V By bypassing all intermediate theoretical calculations, the spatial position offset, which is difficult to measure directly, is converted into the rate of change of an easily and accurately measured electrical parameter. This rate of change is then rapidly converted using a pre-calibrated mapping relationship, allowing the offset to be read directly.

[0033] Please see Figure 2 Before step S1, a calibration step must be performed first: S01: First, systematic data acquisition is performed. Under system operating conditions, such as specific input voltage, operating frequency, or nominal load, a series of known radial horizontal position offsets δ are obtained in advance. i and the corresponding measured load voltage V Oi Offset δ i The reference unit is usually the radius R of the transmitting or receiving antenna, for example, δ. i =[0, 0.1R, 0.2R, 0.3R, 0.4R, 0.5R]. At each fixed offset position δ i The system operates stably, and the corresponding load voltage V is accurately measured. Oi Multi-level differences serve as the overall basis for calibration, while single-level differences act as anchor points for determining the location of the calibration. Differences between single levels can be considered as confidence intervals.

[0034] S02: Next, perform data normalization and model building. Calculate the load voltage ratio K at each acquired data point to obtain the load voltage ratio K at each offset. Vi = (V) O -0- V Oi ) / V O -0; where V O -0 represents the load voltage reference value when the center is aligned (δ=0). Thus, a complete dataset { (δ i , K Vi This dataset describes the correspondence between the system output state and the physical position throughout the entire process from perfect alignment to severe misalignment.

[0035] S03: Based on dataset { (δ i , K Vi Establish the load voltage ratio K. V The mapping relationship model between the radial and horizontal position offset δ is established by using the least squares method to map the dataset { (δ) to the radial and horizontal position offset δ. i , K Vi Curve fitting is performed, and the fitting residual is less than 2%, to obtain the load voltage ratio K. V The fitting function relationship with the radial horizontal position offset δ is δ = f(K V This step minimizes the sum of squared residuals between the predicted value calculated by the function and the actual calibration value. This step transforms discrete data points into a continuous and reliable mathematical model, revealing the intrinsic functional relationship between the load voltage ratio and the position offset.

[0036] To avoid complex function calculations during real-time identification and further improve response speed, discretization sampling is performed within the domain of the fitted function after it is obtained. For example, within the domain of the fitted function, linear interpolation or cubic spline interpolation is used to generate the load voltage ratio K. V Interpolation lookup table with radial horizontal position offset δ.

[0037] Linear interpolation is highly efficient and performs well in regions where the relationship between offset and voltage ratio is approximately linear, such as within small offset ranges. Cubic spline interpolation provides smoother and more accurate curve approximation, especially in nonlinear regions with large rates of change, where it better maintains the accuracy of the fitted function itself. Different interpolation algorithms can be selected based on the specific circumstances.

[0038] Ultimately, this interpolation lookup table is pre-stored in the system's control unit. During real-time identification, the system only needs to use the calculated real-time K... V The corresponding radial horizontal position offset δ can be obtained instantly by quickly looking up the value in this table or by simple local interpolation, thus achieving millisecond-level, high-precision online identification.

[0039] To avoid mishandling of interference, a regression verification test can be set after a significant change. That is, when the load voltage fluctuation is determined to be greater than 5% of the load voltage reference, such a regression test can confirm whether the deviation has actually occurred or is due to signal interference.

[0040] In this embodiment, S3: based on the load voltage ratio K V Based on the preset mapping relationship between load voltage ratio and horizontal position offset, the current radial horizontal position offset is determined by calculation.

[0041] Obtain the real-time load voltage ratio K V Then, the core task of step S3 is to calculate the current radial horizontal position offset δ based on the preset mapping relationship. The specific implementation of this invention is as follows: The real-time calculated K... V The value is looked up and interpolated in the "load voltage ratio - position offset" interpolation lookup table pre-stored in the control unit.

[0042] It also includes a verification step: when the identified radial horizontal position offset δ is greater than a preset threshold, a position adjustment mechanism is triggered; after position adjustment, the actual load voltage V is monitored again. O ', and calculate the adjusted load voltage ratio K V If the adjusted load voltage is higher than K V If the difference between 1 and 0 is within the allowable error range, then the position offset identification and adjustment are deemed valid.

[0043] To ensure the reliability of the identification results, this invention integrates a self-verification system. After the system identifies an offset and triggers the position adjustment mechanism for compensation, the control unit will again monitor the actual load voltage value V. O ', and calculate the new load voltage ratio K V '. If the adjusted K V If the difference from the baseline value 1 returns to the preset tolerance range, such as 3%, it can be determined that the position recognition is accurate and the adjustment is effective. This mechanism can effectively eliminate misjudgments caused by instantaneous interference or other factors, forming a closed loop of "recognition-adjustment-verification", which significantly improves the intelligence and robustness of the entire system.

[0044] Second Embodiment In wireless power transfer systems, especially in high-power charging applications, the radial offset between the receiving and transmitting antennas is a key factor determining energy transfer efficiency and power level. While traditional position sensors such as Hall effect sensors and optical sensors can directly acquire position information for position offset detection, these solutions have significant drawbacks: they require complex sensor measurement, signal conditioning, and calibration circuits, leading to high hardware costs and increasing system complexity and potential for failure. Given that position detection is typically an auxiliary function in such systems, if its implementation cost and complexity exceed that of the main power circuit, it will severely compromise the system's economy and reliability.

[0045] Therefore, this embodiment aims to achieve the function of evaluating position offset based on the circuit topology or with only the addition of a very simple auxiliary circuit. The core circuit topology on which this embodiment is based is a reconfigurable resonant capacitor matrix, please refer to [link to relevant documentation]. Figure 3 The specific implementation method is as follows: A resonant capacitor matrix is ​​a large-scale array formed by splicing together multiple structurally identical unit matrices according to specific electrical connection rules. Each unit matrix is ​​electrically connected in an M x N array, forming an M x N matrix network. Here, M and N are both positive integers greater than or equal to 2. This design gives the matrix high scalability.

[0046] Each unit matrix is ​​a basic functional unit, its core consisting of four branches arranged in a rectangle and connected end-to-end to form a complete circuit loop. Each branch has a switching chip 001 and a resonant capacitor 002 connected in series. On one designated branch of the unit matrix, a matrix input port (IN) and a matrix output port (OUT) are simultaneously provided for signal input and output.

[0047] The scalable expansion of the resonant capacitor 002 matrix is ​​achieved through an efficient branch-sharing mechanism. Adjacent cell matrices are joined by sharing a branch containing the switch chip 001 and the resonant capacitor 002. This design enables seamless expansion of the circuit loop.

[0048] The preferred switching chip 001 is a MOSFET switching chip. Its fast switching speed, low on-resistance, and convenient control make it ideal for high-frequency switching operations to achieve rapid and accurate reconstruction of the matrix capacitance values. The resonant capacitor 002 is either a ceramic capacitor or a film capacitor. These two types of capacitors have excellent high-frequency characteristics, low parasitic inductance, high temperature stability, and long lifespan, ensuring that the resonant network operates at high efficiency and high stability.

[0049] The electromagnetic field generated by this structure exhibits a distinct axisymmetric central distribution characteristic in space. While this system is applicable to other axisymmetric central distribution structures, this ideal symmetrical coupling state is disrupted when the horizontally placed wireless power transmission system experiences radial horizontal displacement. Specifically, as the misalignment scale increases, the mutual inductance between antennas decreases, the central symmetry distribution characteristic of the magnetic field deteriorates, ultimately leading to changes in the system's output characteristics and causing regular fluctuations in the load voltage. Theoretical analysis and experimental verification both show that, under the same input voltage conditions, the system achieves optimal coupling when centrally aligned, at which point the load voltage reaches its highest value, which can be defined as the load voltage reference value. As the offset increases, the load voltage value exhibits a monotonically decreasing trend. Therefore, there is a definite negative correlation between the difference between the actual load voltage value and the reference value and the radial displacement δ of the antenna. This physical phenomenon provides a solid theoretical basis for this embodiment.

[0050] Specifically, this embodiment provides a radial position offset amplitude identification system for a non-contact energy transfer system, used to implement the identification method described in the first embodiment. Please refer to [link to relevant documentation]. Figure 4 It includes: Transmitter 1 includes the transmitter antenna and its driving circuit, which is responsible for generating an alternating electromagnetic field; Receiver 2 includes receiver 2 antenna and load, receives energy through electromagnetic induction and supplies power to the load; receiver 2 and transmitter 1 together constitute the main body of energy transmission. Voltage detection circuit 3 is used to detect the voltage across the load; it is directly connected in parallel across the load for real-time, high-precision voltage detection. This circuit can be implemented using a high-precision differential amplifier and analog-to-digital converter, ensuring voltage measurement accuracy better than 1%. Control unit 4, which is communicatively connected to voltage detection circuit 3, is implemented by microcontroller MCU and configured to perform the following operations: store load voltage reference value V O-0 and mapping relationship data; receive the actual load voltage V sent by voltage detection circuit 3. O ; Calculate the load voltage ratio K V According to the preset mapping relationship, K V The radial horizontal position offset δ is calculated.

[0051] Non-contact power transmission systems, especially wireless power transmission systems based on electromagnetic induction, can be essentially equivalent to controlled current sources. Under normal load conditions, the output current is basically linearly related to the output current. Based on the efficiency change mechanism of the transmission core, the change of load voltage can be calculated to increase the relationship between mutual inductance and output voltage.

[0052] The control unit 4 is further configured to: when the calculated radial horizontal position offset δ exceeds a set threshold, control the position adjustment mechanism to operate to reduce the radial horizontal position offset between the transmitting antenna 1 and the receiving antenna 2.

[0053] When the calculated δ exceeds this threshold, the control unit 4 immediately generates a drive signal to control the position adjustment mechanism to adjust the relative position of the transmitting end 1 and the receiving end 2 antennas by means of translation or rotation, thereby actively reducing or eliminating the radial horizontal position offset and restoring the system to a highly efficient coupling state.

[0054] This system achieves complete closed-loop control from state perception and intelligent decision-making to precise execution. It can not only monitor the position offset in real time, but also actively correct it, significantly improving the intelligence level and adaptability of the wireless power transmission system.

[0055] The system fits a load voltage and horizontal offset function based on the calibrated load voltage level, and then obtains the horizontal displacement scale by interpolation based on the real-time load voltage value of the system. It has the following characteristics: 1. High recognition accuracy, reaching at least 5% of the antenna radius; 2. Possesses a recognition and judgment mechanism; 3. The recognition design does not require additional position sensors, the system structure is simple, the recognition is real-time, no offline operation or calculation is needed, it has practical engineering applications, and its practical application value is quite obvious.

[0056] This invention also provides a computer-readable storage medium storing a computer program thereon, which, when executed by a processor, implements the steps of the radial position offset amplitude identification method for a non-contact energy transfer system as described in any of the preceding claims.

[0057] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of both. To clearly illustrate the interchangeability of hardware and software, the components and steps of the various examples have been generally described in terms of functionality in the foregoing description. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementations should not be considered beyond the scope of this invention.

[0058] In the several embodiments provided in this application, it should be understood that the disclosed apparatus and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative. For instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. In addition, the mutual coupling or direct coupling or communication connection shown or discussed may be indirect coupling or communication connection through some interfaces, devices or units, or may be electrical, mechanical or other forms of connection.

[0059] The units described as separate components may or may not be physically separate. As will be appreciated by those skilled in the art, the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of both. To clearly illustrate the interchangeability of hardware and software, the components and steps of the various examples have been generally described in terms of functionality in the foregoing description. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementations should not be considered beyond the scope of this invention.

[0060] Furthermore, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0061] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or grid device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0062] The specific embodiments described above further illustrate the purpose, technical solution, and beneficial effects of the present invention. It should be understood that the above description is only a specific embodiment of the present invention and is not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A method for identifying the radial position offset amplitude of a non-contact energy transfer system, characterized in that, comprising the following steps: S1 : calibrating the load voltage reference value V of the system when the transmitting end antenna and the receiving end antenna are centrally aligned O -0; S2: In the process of system running, real-time monitoring the actual value V of load voltage O , and calculating the load voltage ratio K V , wherein K V = (V O -0-V O ) / V O -0; S3: determining the current radial horizontal position offset based on the load voltage ratio K V , determining the current radial horizontal position offset based on the preset mapping relationship between the load voltage ratio and the horizontal position offset.

2. The method of claim 1, wherein Before step S1, further comprising a calibration step: Under the system working condition, a series of known radial horizontal position offsets δ are acquired in advance i and their corresponding measured load voltage values V Oi , the load voltage ratio K under each offset is calculated Vi = (V O -0 -V Oi ) / V O -0 Based on the dataset { (δ i , K Vi )}, a mapping relationship model between the load voltage ratio K V and the radial horizontal position offset δ is established.

3. The method of claim 2, wherein In the calibration step, the method for establishing the mapping relationship model is: adopting the least square method to perform curve fitting on the data set { (δ i , K Vi )} to obtain a fitting function relationship δ = f(K V ) between the load voltage ratio K V and the radial horizontal position offset δ.

4. The method of claim 3, wherein After obtaining the fitting function, a step of generating the load voltage ratio K within the definition domain of the fitting function by using linear interpolation method or cubic spline interpolation method is further included V and the interpolation query table of the radial horizontal position offset δ.

5. The method of claim 1, wherein the S3 is specifically: calculating the load voltage ratio K V finding or linearly interpolating in the interpolation lookup table to obtain the current radial horizontal position offset δ.

6. The method of claim 1, wherein the known radial level position offset δ is determined in the calibration step. i The reference unit is set as the radius R of the transmitting or receiving antenna, including 0, 0.1R, 0.2R, 0.3R, 0.4R, 0.5R.

7. The method of claim 1, further comprising a verification step: When the identified radial horizontal position offset δ is greater than a preset threshold, triggering a position adjustment mechanism; After the position adjustment, the actual load voltage value V is monitored again O and the adjusted load voltage ratio K is calculated V ; if the difference between the adjusted load voltage ratio K V and 1 is within the allowable error range, it is determined that the current position offset identification and adjustment is valid.

8. A system for identifying the radial position offset amplitude of a non-contact energy transfer system for implementing the method of identifying according to any one of claims 1 to 7, characterized in that comprising: a transmitting end comprising a transmitting end antenna; a receiving end comprising a receiving end antenna and a load; a voltage detection circuit for detecting the voltage across the load; a control unit in communication with the voltage detection circuit, configured to perform the following operations: storing the load voltage reference value V O -0; receiving the actual load voltage value V sent by the voltage detection circuit O ; Computing the load voltage ratio K V ; According to the preset mapping relationship, by K V The radial horizontal position offset δ is calculated.

9. The non-contact energy transfer system radial position offset magnitude identification system of claim 8, wherein, The system further comprises a position adjustment mechanism connected with the control unit, and the control unit is further configured to: when the calculated radial horizontal position offset δ exceeds a set threshold, control the position adjustment mechanism to act, so as to reduce the radial horizontal position offset between the transmitting end antenna and the receiving end antenna.

10. A computer-readable storage medium having stored thereon a computer program, characterized in that, The program is executed by the processor to realize the steps of the non-contact energy transmission system radial position offset amplitude identification method in any one of claims 1 to 7.

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