A wireless charging test method and system based on Internet of Vehicles

Abstract

The present invention belongs to the field of charging test technology, and specifically is a method and system for wireless charging test based on vehicle networking, wherein the system includes a vehicle networking wireless communication module, a shielded darkroom verification module, a test instruction execution module, a vehicle-mounted wireless charging module, a wireless charging monitoring module and a wireless charging test evaluation module; the present invention uses the shielded darkroom verification module to perform test condition consistency analysis on an electromagnetic wave shielding darkroom before a vehicle wireless charging test, and when a high-matching signal for darkroom conditions is generated, based on the test instruction, enables a ground wireless charging device to start wireless charging of the vehicle, the wireless charging monitoring module monitors the vehicle's wireless charging test process, and the wireless charging test evaluation module comprehensively analyzes the test performance of the corresponding wireless charging test process based on the collected wireless charging monitoring data and accurately feeds back the vehicle's wireless charging performance status, so as to facilitate subsequent reasonable corresponding wireless charging improvement measures for the vehicle.

Description

Technical Field

[0001] The present invention relates to the technical field of charging test, and in particular to a method and system for testing wireless charging based on an Internet of Vehicles. Background Art

[0002] Wireless charging refers to the technology that uses electromagnetic induction, radio waves, magnetic field resonance and other principles to achieve the transmission and reception of electrical energy. This technology enables electrical devices to obtain electrical energy without physical contact. With the rapid development of new energy vehicles, wireless charging technology, as an efficient and convenient charging method, is increasingly widely used in the field of new energy vehicles.

[0003] Currently, wireless charging tests are mainly conducted by parking the vehicle in an electromagnetic wave shielding darkroom. However, it is difficult to reasonably analyze the test condition preparation status in the electromagnetic wave shielding darkroom before the wireless charging test and to promptly issue warnings when the test conditions are judged to be poorly prepared. It is also impossible to effectively monitor the corresponding wireless charging process of the vehicle and achieve a gradual and progressive accurate evaluation of the wireless charging performance, resulting in a low level of intelligence.

[0004] In view of the above technical defects, a solution is now proposed. Summary of the invention

[0005] The purpose of the present invention is to provide a wireless charging test method and system based on the Internet of Vehicles, which solves the problems of the prior art that it is difficult to reasonably analyze the test condition preparation status in the electromagnetic wave shielding darkroom before the wireless charging test and to give a timely warning when it is judged that the test conditions are not well prepared, and it is impossible to effectively monitor the corresponding wireless charging process of the vehicle and realize the gradual and progressive accurate evaluation of the wireless charging performance, and the low level of intelligence.

[0006] To achieve the above object, the present invention provides the following technical solutions:

[0007] A wireless charging test system based on the Internet of Vehicles, including an Internet of Vehicles wireless communication module, a shielded darkroom calibration module, a test instruction execution module, an on-board wireless charging module, a wireless charging monitoring module and a wireless charging test evaluation module;

[0008] When conducting a wireless charging test on a vehicle, park the vehicle in an electromagnetic wave shielding darkroom and ensure that the vehicle and the ground wireless charging device are in the correct relative position. The vehicle networking wireless communication module uses wireless communication technology to connect the vehicle with the ground wireless charging device and the test control terminal.

[0009] The shielded darkroom verification module is used to generate a darkroom condition high match signal or a darkroom condition low match signal by performing a test condition match analysis on the electromagnetic wave shielded darkroom before conducting a wireless charging test on the vehicle, and send the darkroom condition high match signal or the darkroom condition low match signal to the test control terminal via the vehicle networking wireless communication module;

[0010] When generating a high-matching signal under darkroom conditions, the tester issues a test command through the test control terminal, and the vehicle networking wireless communication module transmits the test command to the test command execution module. The test command execution module enables the ground wireless charging device to wirelessly charge the vehicle based on the test command, and the vehicle-mounted wireless charging module receives the electric energy sent by the ground wireless charging device and converts it.

[0011] The wireless charging monitoring module monitors the wireless charging test process of the vehicle, collects relevant data of the wireless charging test process, and sends the collected data to the wireless charging test evaluation module; the wireless charging test evaluation module analyzes the test performance of the corresponding wireless charging test process, generates a wireless charging test qualified signal or a wireless charging test abnormal signal through analysis, and sends the wireless charging test qualified signal or the wireless charging test abnormal signal to the test control terminal via the Internet of Vehicles wireless communication module.

[0012] Furthermore, the specific analysis process of the test condition consistency analysis includes:

[0013] Conducting a shielding effectiveness test on the electromagnetic wave shielding darkroom to collect shielding effectiveness values ​​under different frequency ranges, and numerically comparing the shielding effectiveness value under the corresponding frequency range with the corresponding preset shielding effectiveness threshold value; if the shielding effectiveness value exceeds the corresponding preset shielding effectiveness threshold value, it is judged that the electromagnetic wave shielding capability of the electromagnetic wave shielding darkroom under the corresponding frequency range meets the requirements; if the shielding effectiveness value does not exceed the corresponding preset shielding effectiveness threshold value, it is judged that the electromagnetic wave shielding capability of the electromagnetic wave shielding darkroom under the corresponding frequency range does not meet the requirements;

[0014] If the electromagnetic wave shielding capability of the electromagnetic wave shielding chamber meets the requirements in each frequency range to be tested, the shielding performance judgment symbol WP-1 is assigned; if there is a corresponding frequency range where the electromagnetic wave shielding capability does not meet the requirements, the corresponding frequency range is marked as an abnormal range, and the shielding abnormal detection value is obtained through analysis, and the shielding abnormal detection value is numerically compared with the preset shielding abnormal detection threshold. If the shielding abnormal detection value exceeds the preset shielding abnormal detection threshold, the shielding performance judgment symbol WP-2 is assigned; if the shielding abnormal detection value does not exceed the preset shielding abnormal detection threshold, the shielding performance judgment symbol WP-1 is assigned;

[0015] If the shielding performance judgment symbol WP-2 is assigned, a low match signal of darkroom conditions is generated; if the shielding performance judgment symbol WP-1 is assigned, a darkroom re-inspection analysis is performed.

[0016] Further, the analysis and acquisition method of shielding abnormal detection value is as follows:

[0017] The deviation value of the shielding effectiveness value of the corresponding abnormal range compared to the corresponding preset shielding effectiveness threshold is marked as a shielding effectiveness anomaly value; each group of frequency ranges is set in advance to correspond to a group of preset shielding influence weight values, and the product of the shielding effectiveness anomaly value of the corresponding abnormal range and the corresponding preset shielding influence weight value is marked as a shielding anomaly value, and the shielding anomaly values ​​of all abnormal ranges are summed up to obtain a shielding anomaly detection value.

[0018] Furthermore, the specific analysis process of the darkroom re-inspection analysis is as follows:

[0019] Obtaining the position where the potential difference detection is required in the electromagnetic wave shielding darkroom, measuring with a potentiometer to obtain several groups of potential difference data in the electromagnetic wave shielding darkroom, and calculating the average of all the potential difference data to obtain a potential difference detection value;

[0020] The temperature and humidity of several detection points in the electromagnetic wave shielding darkroom are collected, the temperatures of the several detection points are averaged to obtain the darkroom temperature value, and the deviation value of the darkroom temperature value compared with the preset darkroom temperature standard value is marked as the darkroom temperature test value, and the darkroom humidity test value is obtained in the same way;

[0021] The grounding resistance value of the electromagnetic wave shielding darkroom is collected, and the electromagnetic noise level inside the shielding darkroom is measured by an electromagnetic noise measuring instrument to obtain the electromagnetic noise value. The darkroom re-inspection value is obtained by numerically calculating the potential difference detection value, the darkroom room temperature inspection value, the darkroom humidity inspection value, the grounding resistance value and the electromagnetic noise value. The darkroom re-inspection value is numerically compared with the preset darkroom re-inspection threshold. If the darkroom re-inspection value exceeds the preset darkroom re-inspection threshold, a low-matching signal of the darkroom condition is generated; if the darkroom re-inspection value does not exceed the preset darkroom re-inspection threshold, a high-matching signal of the darkroom condition is generated.

[0022] Furthermore, the specific operation process of the wireless charging test evaluation module includes:

[0023] The real-time voltage, real-time current and real-time power of the corresponding wireless charging test process are collected, and the real-time voltage, real-time current and real-time power are numerically compared with the preset real-time voltage range, the preset real-time current range and the preset real-time power range respectively. If the real-time voltage, real-time current or real-time power is not within the corresponding preset range, it is determined that the corresponding wireless charging test process is in an abnormal power state;

[0024] The total duration of the corresponding wireless charging test process in the power abnormal state is obtained and marked as the power abnormal time value, and the single duration in the power abnormal state is numerically compared with the corresponding preset single duration threshold. If the single duration exceeds the corresponding preset single duration threshold, the corresponding single duration is marked as the power abnormal duration, and the number of power abnormal durations in the corresponding wireless charging test process is marked as the power abnormal value;

[0025] The power abnormality time with the largest value is marked as the power abnormality amplitude value, and the power abnormality measurement value is obtained by numerically calculating the power abnormality time value, the power abnormality value and the power abnormality amplitude value. The power abnormality measurement value is numerically compared with the preset power abnormality measurement threshold value. If the power abnormality measurement value exceeds the preset power abnormality measurement threshold value, a wireless charging test abnormal signal of the corresponding wireless charging test process is generated.

[0026] Furthermore, if the power abnormal measurement value does not exceed the preset power abnormal measurement threshold, several detection time periods are set in the corresponding wireless charging test process, the charging speed of the corresponding detection time period is collected, and the deviation value of the charging speed compared to the preset charging speed standard value is marked as the charging speed deviation value;

[0027] and collecting the ratio of the electric energy actually charged into the vehicle to the electric energy obtained from the power grid during the corresponding detection period and marking it as a point charging energy efficiency value, and numerically comparing the charging speed deviation value and the charging energy efficiency value with the preset charging speed deviation threshold and the preset charging energy efficiency threshold, respectively; if the charging speed deviation value exceeds the preset charging speed deviation threshold or the charging energy efficiency value does not exceed the preset charging energy efficiency threshold, the corresponding detection period is marked as a poor charging period;

[0028] The number of poor-charging time periods during the corresponding wireless charging test process is obtained and marked as a poor-charging detection value, and the charging speed deviation values ​​of all detection time periods during the corresponding wireless charging test process are averaged to obtain a charging speed analysis value, and the charging energy efficiency values ​​of all detection time periods during the corresponding wireless charging test process are averaged to obtain a charging energy analysis value;

[0029] The charging condition value is obtained by numerically calculating the poor charging detection value, the charging speed analysis value and the charging energy analysis value, and the charging condition value is numerically compared with the preset charging condition threshold. If the charging condition value exceeds the preset charging condition threshold, a wireless charging test abnormality signal is generated; if the charging condition value does not exceed the preset charging condition threshold, a wireless charging temperature risk analysis is performed on the corresponding wireless charging test process.

[0030] Furthermore, the specific analysis process of wireless charging temperature risk analysis is as follows:

[0031] During the wireless charging test, the temperature curve of the energy storage battery in the vehicle is obtained, and a rectangular coordinate system located in the first quadrant is established with time as the X-axis and temperature as the Y-axis. The temperature curve of the energy storage battery is placed in the rectangular coordinate system, and the initial endpoint of the temperature curve is located on the Y-axis;

[0032] In the rectangular coordinate system, a temperature ray is drawn parallel to the X-axis and the endpoint is located on the Y-axis. The area formed by the portion of the temperature curve above the temperature ray and the temperature ray is marked as the temperature over-range detection value. The temperature over-range detection value is numerically compared with the preset temperature over-range detection threshold. If the temperature over-range detection value exceeds the preset temperature over-range detection threshold, a wireless charging test abnormality signal is generated.

[0033] If the temperature over-zone detection value does not exceed the preset temperature over-zone detection threshold, several coordinate points are marked on the temperature curve, and the corresponding coordinate points are marked as analysis points, and the X-direction distances between two adjacent groups of analysis points are the same; the Y-direction distances between two adjacent groups of analysis points are collected and marked as increased detection values, and the increased detection values ​​are numerically compared with the preset increased detection threshold. If the increased detection value exceeds the preset increased detection threshold, the corresponding increased detection value is marked as an abnormal value increase;

[0034] The number of abnormal value increases is obtained and the ratio is calculated with the number of increased inspection values ​​to obtain the temperature increase abnormality value, and the temperature increase condition value is obtained by averaging the excess values ​​of all abnormal value increases compared with the preset increased inspection threshold value, and the wireless charging temperature risk coefficient is obtained by numerically calculating the temperature excess inspection value, the temperature increase abnormality value and the temperature increase condition value, and the wireless charging temperature risk coefficient is numerically compared with the preset wireless charging temperature risk coefficient threshold value. If the wireless charging temperature risk coefficient exceeds the preset wireless charging temperature risk coefficient threshold, a wireless charging test abnormality signal is generated; if the wireless charging temperature risk coefficient does not exceed the preset wireless charging temperature risk coefficient threshold, a wireless charging test qualified signal is generated.

[0035] Furthermore, the present invention also proposes a wireless charging test method based on the Internet of Vehicles, comprising the following steps:

[0036] Step 1: Park the vehicle in an electromagnetic wave shielding darkroom so that the vehicle and the ground wireless charging device are in the correct relative position;

[0037] Step 2: Performing a test condition consistency analysis on the electromagnetic wave shielding darkroom, and generating a darkroom condition high consistency signal or a darkroom condition low consistency signal through analysis;

[0038] Step 3: When a high-matching signal under darkroom conditions is generated, the tester issues a test instruction, and the test instruction execution module enables the ground wireless charging device to wirelessly charge the vehicle based on the test instruction, and the vehicle-mounted wireless charging module receives the electric energy sent by the ground wireless charging device and converts it;

[0039] Step 4: The wireless charging monitoring module monitors the wireless charging test process of the vehicle, collects relevant data of the wireless charging test process and sends it to the wireless charging test evaluation module;

[0040] Step 5: The wireless charging test evaluation module analyzes the test performance of the corresponding wireless charging test process to generate a wireless charging test qualified signal or a wireless charging test abnormal signal, and sends the wireless charging test qualified signal or the wireless charging test abnormal signal to the test control terminal.

[0041] Compared with the prior art, the present invention has the following beneficial effects:

[0042] 1. In the present invention, the electromagnetic wave shielding darkroom is analyzed for test condition consistency before the vehicle wireless charging test through the shielding darkroom verification module. When a high consistency signal of the darkroom condition is generated, the ground wireless charging device starts to wirelessly charge the vehicle. When a low consistency signal of the darkroom condition is generated, the tester is reminded to take corresponding improvement measures or replace the electromagnetic wave shielding darkroom, thereby ensuring the safety and stability of the vehicle wireless charging test process and significantly improving the accuracy of the wireless charging test results.

[0043] 2. In the present invention, the wireless charging test process of the vehicle is monitored by the wireless charging monitoring module, and the wireless charging test evaluation module performs a step-by-step and precise analysis of the test performance of the corresponding wireless charging test process based on the wireless charging monitoring data, thereby providing reasonable and accurate feedback on the wireless charging performance status of the vehicle, making it convenient for subsequent reasonable wireless charging improvement measures to be taken for the vehicle. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] In order to facilitate understanding by those skilled in the art, the present invention is further described below in conjunction with the accompanying drawings;

[0045] Figure 1 This is a system block diagram of Embodiment 1 of the present invention;

[0046] Figure 2 This is a flow chart of the method of Embodiment 2 of the present invention. DETAILED DESCRIPTION

[0047] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0048] Embodiment 1: Figure 1As shown, the present invention proposes a wireless charging test system based on the Internet of Vehicles, including an Internet of Vehicles wireless communication module, a shielded darkroom calibration module, a test instruction execution module, an on-board wireless charging module, a wireless charging monitoring module and a wireless charging test evaluation module;

[0049] When conducting a vehicle wireless charging test, park the vehicle in an electromagnetic wave shielding darkroom and ensure that the vehicle and the ground wireless charging device are in the correct relative position. The vehicle networking wireless communication module uses wireless communication technology to connect the vehicle with the ground wireless charging device and the test control terminal.

[0050] The shielded darkroom verification module is used to generate a darkroom condition high match signal or a darkroom condition low match signal by performing a test condition match analysis on the electromagnetic wave shielded darkroom before conducting a wireless charging test on the vehicle, and send the darkroom condition high match signal or the darkroom condition low match signal to the test control terminal via the vehicle networking wireless communication module;

[0051] When the test control terminal receives a low match signal of the darkroom condition, it issues an early warning to remind the tester to take corresponding improvement measures or replace the electromagnetic wave shielding darkroom for vehicle wireless charging test, which is not only conducive to ensuring the safety and stability of the vehicle wireless charging test process, but also can significantly improve the accuracy of the wireless charging test results; the specific operation process of the shielding darkroom verification module is as follows:

[0052] The shielding effectiveness test is carried out on the electromagnetic wave shielding darkroom to collect the shielding effectiveness values ​​in different frequency ranges. The larger the shielding effectiveness value is, the stronger the shielding performance of the electromagnetic wave shielding darkroom is in the corresponding frequency range. Generally speaking, the operating frequency of the wireless charging system may be between tens of kHz and several MHz, but it may also be extended to higher frequency bands. Therefore, the electromagnetic wave shielding darkroom should be able to provide effective shielding in the corresponding frequency band. For example, the shielding effectiveness value of the corresponding frequency range is: 14KHz~1MHz≥60dB, 1MHz~1000MHz≥90dB, etc.

[0053] The shielding effectiveness value in the corresponding frequency range is numerically compared with the corresponding preset shielding effectiveness threshold value. If the shielding effectiveness value exceeds the corresponding preset shielding effectiveness threshold value, it indicates that the shielding performance of the electromagnetic wave shielding darkroom in the corresponding frequency range is relatively strong, and it is judged that the electromagnetic wave shielding capability of the electromagnetic wave shielding darkroom in the corresponding frequency range meets the requirements; if the shielding effectiveness value does not exceed the corresponding preset shielding effectiveness threshold value, it indicates that the shielding performance of the electromagnetic wave shielding darkroom in the corresponding frequency range is relatively weak, and it is judged that the electromagnetic wave shielding capability of the electromagnetic wave shielding darkroom in the corresponding frequency range does not meet the requirements;

[0054] If the electromagnetic wave shielding capability of the electromagnetic wave shielding chamber in each frequency range to be tested meets the requirements, a shielding performance judgment symbol WP-1 is assigned; if there is a corresponding frequency range in which the electromagnetic wave shielding capability does not meet the requirements, the corresponding frequency range is marked as an abnormal range, and the deviation value of the shielding effectiveness value of the corresponding abnormal range compared to the corresponding preset shielding effectiveness threshold is marked as a shielding effectiveness abnormal value; each group of frequency ranges is set in advance to correspond to a group of preset shielding influence weight values, and it should be noted that the values ​​of the preset shielding influence weight values ​​are all positive numbers, and the more important the shielding performance in the corresponding frequency range is, the larger the value of the preset shielding influence weight value matching it is;

[0055] The product of the shielding effectiveness abnormal value of the corresponding abnormal range and the corresponding preset shielding influence weight value is marked as the shielding abnormal condition value, and the shielding abnormal condition values ​​of all abnormal ranges are summed up to obtain the shielding abnormal detection value; the shielding abnormal detection value is numerically compared with the preset shielding abnormal detection threshold value. If the shielding abnormal detection value exceeds the preset shielding abnormal detection threshold value, it indicates that the shielding performance of the electromagnetic wave shielding darkroom is generally poor, which is not conducive to wireless charging testing, and the shielding performance judgment symbol WP-2 is assigned; if the shielding abnormal detection value does not exceed the preset shielding abnormal detection threshold value, it indicates that the shielding performance of the electromagnetic wave shielding darkroom is generally good, and the shielding performance judgment symbol WP-1 is assigned;

[0056] If the shielding performance judgment symbol WP-2 is assigned, it indicates that the preparation conditions of the electromagnetic wave shielding darkroom are not good, and a darkroom condition low match signal is generated; if the shielding performance judgment symbol WP-1 is assigned, a darkroom re-inspection analysis is performed, specifically: the position where the potential difference detection needs to be performed in the electromagnetic wave shielding darkroom is obtained, and a potentiometer is used to measure to obtain several groups of potential difference data in the electromagnetic wave shielding darkroom, and all the potential difference data are averaged to obtain a potential difference detection value;

[0057] The temperature and humidity of several detection points in the electromagnetic wave shielding darkroom are collected, the temperatures of the several detection points are averaged to obtain the darkroom temperature value, and the deviation value of the darkroom temperature value compared with the preset darkroom temperature standard value is marked as the darkroom temperature inspection value, and the darkroom humidity inspection value is obtained in the same way; the grounding resistance value of the electromagnetic wave shielding darkroom is collected, and the electromagnetic noise level inside the shielding darkroom is measured by an electromagnetic noise measuring instrument to obtain the electromagnetic noise value;

[0058] The potential difference detection value AP, the darkroom room temperature detection value AY, the darkroom humidity detection value AW, the grounding resistance value AD and the electromagnetic noise value AZ are numerically calculated by the formula AS=(b1*AP+b2*AY+b3*AW+b4*AD+b5*AZ) / 5 to obtain the darkroom re-test value AS; wherein b1, b2, b3, b4 and b5 are preset proportional coefficients with values ​​greater than zero, and the smaller the value of the darkroom re-test value AS is, the better the preparation conditions in the electromagnetic wave shielding room are, and the more conducive it is to the vehicle wireless charging test;

[0059] The darkroom re-inspection value AS is numerically compared with the preset darkroom re-inspection threshold. If the darkroom re-inspection value AS exceeds the preset darkroom re-inspection threshold, it indicates that the preparation conditions in the electromagnetic wave shielding room are poor, which is not conducive to the vehicle wireless charging test, and a darkroom condition low match signal is generated; if the darkroom re-inspection value AS does not exceed the preset darkroom re-inspection threshold, it indicates that the preparation conditions in the electromagnetic wave shielding room are good, which is conducive to the vehicle wireless charging test, and a darkroom condition high match signal is generated.

[0060] When generating a highly consistent signal under darkroom conditions, the tester issues a test command through the test control terminal (the test command includes parameter information such as charging time and charging power), and the Internet of Vehicles wireless communication module transmits the test command to the test command execution module. The test command execution module enables the ground wireless charging device to start wirelessly charging the vehicle based on the test command. The on-board wireless charging module receives the electric energy sent by the ground wireless charging device and converts it (i.e., converts it into electric energy that can be used by the vehicle), and the energy storage battery in the vehicle stores the electric energy.

[0061] In addition, the wireless charging monitoring module monitors the wireless charging test process of the vehicle, collects relevant data (voltage, current, power, etc.) of the wireless charging test process, and sends the collected data to the wireless charging test evaluation module; the wireless charging test evaluation module analyzes the test performance of the corresponding wireless charging test process, and generates a wireless charging test qualified signal or a wireless charging test abnormal signal through analysis;

[0062] The wireless charging test qualified signal or the wireless charging test abnormal signal is sent to the test control terminal through the wireless communication module of the Internet of Vehicles. When the test control terminal receives the wireless charging test abnormal signal, it issues a corresponding warning to remind the corresponding vehicle of poor wireless charging performance, which is convenient for timely investigation and analysis of the cause, and is conducive to the subsequent targeted wireless charging improvement measures for the vehicle, with a high degree of intelligence. The specific operation process of the wireless charging test evaluation module is as follows:

[0063] The real-time voltage, real-time current and real-time power of the corresponding wireless charging test process are collected, and the real-time voltage, real-time current and real-time power are numerically compared with the preset real-time voltage range, the preset real-time current range and the preset real-time power range respectively. If the real-time voltage, real-time current or real-time power is not within the corresponding preset range, it indicates that the current charging condition of the corresponding wireless charging test process is not good, and it is determined that the corresponding wireless charging test process is currently in an abnormal power state;

[0064] The total duration of the corresponding wireless charging test process in the power abnormal state is obtained and marked as the power abnormal time value, and the single duration of each power abnormal state is collected, and the single duration of the power abnormal state is compared with the corresponding preset single duration threshold. If the single duration exceeds the corresponding preset single duration threshold, the corresponding single duration is marked as the power abnormal duration, and the number of power abnormal durations in the corresponding wireless charging test process is marked as the power abnormal number value, and the power abnormal duration with the largest value is marked as the power abnormal amplitude value;

[0065] The power time difference value RM, the power number difference value RP and the power amplitude difference value RF are numerically calculated by the formula RN=np2*RP+(np1*RM+np3*RF) / 2 to obtain the power measurement difference value RN, wherein np1, np2 and np3 are preset proportional coefficients, and np2>np3>np1>0; and the larger the value of the power measurement difference value RN, the worse the charging performance of the corresponding wireless charging test process is.

[0066] The power abnormal measurement value RN is numerically compared with the preset power abnormal measurement threshold. If the power abnormal measurement value RN exceeds the preset power abnormal measurement threshold, it indicates that the charging performance of the corresponding wireless charging test process is initially poor, and a wireless charging test abnormal signal of the corresponding wireless charging test process is generated.

[0067] Furthermore, if the power abnormal measurement value RN does not exceed the preset power abnormal measurement threshold, several detection periods are set during the corresponding wireless charging test process, the charging speed of the corresponding detection period is collected, and the deviation value of the charging speed compared to the preset charging speed standard value is marked as the charging speed deviation value;

[0068] and collecting the ratio of the electric energy actually charged into the vehicle to the electric energy obtained from the power grid during the corresponding detection period and marking it as a point charging energy efficiency value, and numerically comparing the charging speed deviation value and the charging energy efficiency value with the preset charging speed deviation threshold and the preset charging energy efficiency threshold, respectively; if the charging speed deviation value exceeds the preset charging speed deviation threshold or the charging energy efficiency value does not exceed the preset charging energy efficiency threshold, indicating that the wireless charging condition of the vehicle during the corresponding detection period is poor, the corresponding detection period is marked as a poor charging period;

[0069] The number of poor-charging time periods during the corresponding wireless charging test process is obtained and marked as a poor-charging detection value, and the charging speed deviation values ​​of all detection time periods during the corresponding wireless charging test process are averaged to obtain a charging speed analysis value, and the charging energy efficiency values ​​of all detection time periods during the corresponding wireless charging test process are averaged to obtain a charging energy analysis value;

[0070] By formula The charging condition value YM is obtained by numerically calculating the poor charging detection value YL, the charging speed analysis value YX and the charging energy analysis value YN; wherein hy1, hy2 and hy3 are preset proportional coefficients whose values ​​are greater than zero, and the larger the value of the charging condition value YM is, the more abnormal the charging condition of the corresponding wireless charging test process is;

[0071] Compare the charging condition value with the preset charging condition threshold, if the charging condition value exceeds the preset charging condition threshold, it indicates that the charging condition of the corresponding wireless charging test process is abnormal, then generate a wireless charging test abnormal signal;

[0072] If the charging condition value does not exceed the preset charging condition threshold, the corresponding wireless charging test process is subjected to wireless charging temperature risk analysis, specifically: during the wireless charging test process, the temperature curve of the energy storage battery in the vehicle is obtained, a rectangular coordinate system located in the first quadrant is established with time as the X-axis and temperature as the Y-axis, and the temperature curve of the energy storage battery is placed in the rectangular coordinate system, and the initial endpoint of the temperature curve is located on the Y-axis;

[0073] In a rectangular coordinate system, a temperature ray is drawn which is parallel to the X-axis and whose endpoint is located on the Y-axis, wherein the Y-axis coordinate value corresponding to the temperature ray represents a preset temperature judgment threshold, and the value of the preset temperature judgment threshold is a positive number;

[0074] The area formed by the portion of the temperature curve above the temperature ray and the temperature ray is marked as the temperature over-range detection value, and the temperature over-range detection value is numerically compared with the preset temperature over-range detection threshold. If the temperature over-range detection value exceeds the preset temperature over-range detection threshold, it indicates that the worse the temperature performance of the energy storage power supply during the corresponding wireless charging test, the higher the risk, and a wireless charging test abnormality signal is generated;

[0075] If the temperature over-zone detection value does not exceed the preset temperature over-zone detection threshold, several coordinate points are marked on the temperature curve, and the corresponding coordinate points are marked as analysis points, and the X-direction distances between two adjacent groups of analysis points are the same; the Y-direction distances between two adjacent groups of analysis points are collected and marked as increased detection values, and the increased detection values ​​are numerically compared with the preset increased detection threshold. If the increased detection value exceeds the preset increased detection threshold, indicating that the temperature rises faster within the corresponding interval time, the corresponding increased detection value is marked as an abnormal value increase;

[0076] The number of abnormal value increases is obtained and the ratio thereof is calculated with the number of increased inspection values ​​to obtain the temperature increase abnormality value, and the average of all abnormal value increases compared with the excess value of the preset increased inspection threshold is calculated to obtain the temperature increase condition value;

[0077] By formula The temperature over-range detection value CW, the temperature increase abnormality value CR and the temperature increase condition value CM are numerically calculated to obtain the wireless charging temperature risk coefficient CX; wherein rq1, rq2 and rq3 are preset proportional coefficients, rq2>rq3>rq1>0; and the larger the value of the wireless charging temperature risk coefficient CX, the more abnormal the battery temperature condition is during the wireless charging test process, and the greater the safety risk is;

[0078] The wireless charging temperature risk coefficient CX is numerically compared with the preset wireless charging temperature risk coefficient threshold. If the wireless charging temperature risk coefficient CX exceeds the preset wireless charging temperature risk coefficient threshold, it indicates that the battery temperature condition of the wireless charging test process is relatively abnormal and the safety risk is relatively large, then a wireless charging test abnormality signal is generated; if the wireless charging temperature risk coefficient CX does not exceed the preset wireless charging temperature risk coefficient threshold, it indicates that the battery temperature condition of the wireless charging test process is relatively normal and the safety risk is relatively small, then a wireless charging test qualified signal is generated.

[0079] Embodiment 2: Figure 2 As shown, the difference between this embodiment and the first embodiment is that the present invention proposes a wireless charging test method based on the Internet of Vehicles, comprising the following steps:

[0080] Step 1: Park the vehicle in an electromagnetic wave shielding darkroom so that the vehicle and the ground wireless charging device are in the correct relative position;

[0081] Step 2: Performing a test condition consistency analysis on the electromagnetic wave shielding darkroom, and generating a darkroom condition high consistency signal or a darkroom condition low consistency signal through analysis;

[0082] Step 3: When a high-matching signal under darkroom conditions is generated, the tester issues a test instruction, and the test instruction execution module enables the ground wireless charging device to wirelessly charge the vehicle based on the test instruction, and the vehicle-mounted wireless charging module receives the electric energy sent by the ground wireless charging device and converts it;

[0083] Step 4: The wireless charging monitoring module monitors the wireless charging test process of the vehicle, collects relevant data of the wireless charging test process and sends it to the wireless charging test evaluation module;

[0084] Step 5: The wireless charging test evaluation module analyzes the test performance of the corresponding wireless charging test process to generate a wireless charging test qualified signal or a wireless charging test abnormal signal, and sends the wireless charging test qualified signal or the wireless charging test abnormal signal to the test control terminal.

[0085] The working principle of the present invention is as follows: when in use, the electromagnetic wave shielding darkroom is analyzed for test condition consistency before the vehicle wireless charging test through the shielding darkroom verification module to generate a darkroom condition high consistency signal or a darkroom condition low consistency signal. When the darkroom condition low consistency signal is generated, the test personnel are reminded to take corresponding improvement measures or replace the electromagnetic wave shielding darkroom, so as to ensure the safety and stability of the vehicle wireless charging test process, significantly improve the accuracy of the wireless charging test results, and when the darkroom condition high consistency signal is generated, the test instruction execution module enables the ground wireless charging device to start wireless charging of the vehicle based on the test instruction, the on-board wireless charging module receives the electric energy sent by the ground wireless charging device, the wireless charging monitoring module monitors the wireless charging test process of the vehicle to realize data collection, and the wireless charging test evaluation module analyzes the test performance of the corresponding wireless charging test process based on the collected wireless charging monitoring data to generate a wireless charging test qualified signal or a wireless charging test abnormal signal, which can comprehensively analyze and accurately feedback the wireless charging performance status of the vehicle, and facilitate the subsequent reasonable corresponding wireless charging improvement measures for the vehicle, and has a high degree of intelligence.

[0086] The above formulas are all dimensionless and numerical calculations. The formula is a formula obtained by collecting a large amount of data and performing software simulation to obtain the most recent real situation. The preset parameters in the formula are set by technicians in this field according to actual conditions. The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the contents of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that technicians in the relevant technical field can understand and use the present invention well. The present invention is only limited by the claims and their full scope and equivalents.

Claims

1. A wireless charging test system based on Internet of Vehicles, characterized in that: It includes a vehicle networking wireless communication module, a shielded darkroom calibration module, a test instruction execution module, an on-board wireless charging module, a wireless charging monitoring module and a wireless charging test evaluation module; When conducting a wireless charging test on a vehicle, park the vehicle in an electromagnetic wave shielding darkroom and ensure that the vehicle and the ground wireless charging device are in the correct relative position. The vehicle networking wireless communication module uses wireless communication technology to connect the vehicle with the ground wireless charging device and the test control terminal. The shielded darkroom verification module is used to generate a darkroom condition high match signal or a darkroom condition low match signal by performing a test condition match analysis on the electromagnetic wave shielded darkroom before conducting a wireless charging test on the vehicle, and send the darkroom condition high match signal or the darkroom condition low match signal to the test control terminal via the vehicle networking wireless communication module; When generating a high-matching signal under darkroom conditions, the tester issues a test command through the test control terminal, and the vehicle networking wireless communication module transmits the test command to the test command execution module. The test command execution module enables the ground wireless charging device to wirelessly charge the vehicle based on the test command, and the vehicle-mounted wireless charging module receives the electric energy sent by the ground wireless charging device and converts it. The wireless charging monitoring module monitors the wireless charging test process of the vehicle, collects relevant data of the wireless charging test process, and sends the collected data to the wireless charging test evaluation module; The wireless charging test evaluation module analyzes the test performance of the corresponding wireless charging test process, generates a wireless charging test pass signal or a wireless charging test abnormality signal through the analysis, and sends the wireless charging test pass signal or the wireless charging test abnormality signal to the test control terminal via the Internet of Vehicles wireless communication module.

2. According to claim 1, a wireless charging test system based on Internet of Vehicles is characterized in that: The specific analysis process of test condition consistency analysis includes: Conducting a shielding effectiveness test on the electromagnetic wave shielding darkroom to collect shielding effectiveness values ​​under different frequency ranges; if the shielding effectiveness value exceeds the corresponding preset shielding effectiveness threshold, it is judged that the electromagnetic wave shielding capability of the electromagnetic wave shielding darkroom under the corresponding frequency range meets the requirements; if the shielding effectiveness value does not exceed the corresponding preset shielding effectiveness threshold, it is judged that the electromagnetic wave shielding capability of the electromagnetic wave shielding darkroom under the corresponding frequency range does not meet the requirements; If the electromagnetic wave shielding capability of the electromagnetic wave shielding chamber meets the requirements in each frequency range to be tested, the shielding performance judgment symbol WP-1 is assigned; if there is a corresponding frequency range where the electromagnetic wave shielding capability does not meet the requirements, the corresponding frequency range is marked as an abnormal range, and the shielding abnormal detection value is obtained through analysis. If the shielding abnormal detection value exceeds the preset shielding abnormal detection threshold, the shielding performance judgment symbol WP-2 is assigned; if the shielding abnormal detection value does not exceed the preset shielding abnormal detection threshold, the shielding performance judgment symbol WP-1 is assigned; If the shielding performance judgment symbol WP-2 is assigned, a low match signal of darkroom conditions is generated; if the shielding performance judgment symbol WP-1 is assigned, a darkroom re-inspection analysis is performed.

3. A wireless charging test system based on Internet of Vehicles according to claim 2, characterized in that: The analysis and acquisition method of shielding abnormal detection value is as follows: The deviation value of the shielding effectiveness value of the corresponding abnormal range compared to the corresponding preset shielding effectiveness threshold is marked as a shielding effectiveness anomaly value; each group of frequency ranges is set in advance to correspond to a group of preset shielding influence weight values, and the product of the shielding effectiveness anomaly value of the corresponding abnormal range and the corresponding preset shielding influence weight value is marked as a shielding anomaly value, and the shielding anomaly values ​​of all abnormal ranges are summed up to obtain a shielding anomaly detection value.

4. The wireless charging test system based on the Internet of Vehicles according to claim 2 is characterized in that: The specific analysis process of darkroom re-inspection analysis is as follows: The darkroom re-test value is obtained by numerically calculating the potential difference detection value, the darkroom temperature test value, the darkroom humidity test value, the grounding resistance value and the electromagnetic noise value. If the darkroom re-test value exceeds the preset darkroom re-test threshold, a darkroom condition low coincidence signal is generated. If the darkroom re-test value does not exceed the preset darkroom re-test threshold, a darkroom condition high match signal is generated.

5. The wireless charging test system based on the Internet of Vehicles according to claim 1 is characterized in that: The specific operation process of the wireless charging test evaluation module includes: The real-time voltage, real-time current and real-time power of the corresponding wireless charging test process are collected. If the real-time voltage, real-time current or real-time power is not within the corresponding preset range, it is determined that the corresponding wireless charging test process is in a power abnormality state; the total duration of the corresponding wireless charging test process in the power abnormality state is obtained and marked as a power abnormality time value, and the number of power abnormality durations in the corresponding wireless charging test process is marked as a power number abnormality value; The power abnormality time with the largest value is marked as the power abnormality amplitude value, and the power abnormality measurement value is obtained by numerically calculating the power abnormality time value, the power abnormality value and the power abnormality amplitude value. If the power abnormality measurement value exceeds the preset power abnormality measurement threshold, a wireless charging test abnormal signal of the corresponding wireless charging test process is generated.

6. The wireless charging test system based on the Internet of Vehicles according to claim 5 is characterized in that: If the power abnormality measurement value does not exceed the preset power abnormality measurement threshold, the charging condition value is obtained through analysis. If the charging condition value exceeds the preset charging condition threshold, a wireless charging test abnormality signal is generated; if the charging condition value does not exceed the preset charging condition threshold, the corresponding wireless charging test process will be subjected to wireless charging temperature risk analysis.

7. The wireless charging test system based on the Internet of Vehicles according to claim 6 is characterized in that: The analysis and acquisition method of charging condition value is as follows: During the corresponding wireless charging test process, several detection time periods are set, the number of poor charging time periods during the corresponding wireless charging test process is obtained and marked as poor charging detection values, and the charging speed deviation values ​​of all detection time periods during the corresponding wireless charging test process are averaged to obtain a charging speed analysis value, and the charging energy efficiency values ​​of all detection time periods during the corresponding wireless charging test process are averaged to obtain a charging energy analysis value; The charging condition value is obtained by numerically calculating the poor charging detection value, charging speed analysis value and charging energy analysis value.

8. The wireless charging test system based on the Internet of Vehicles according to claim 1 is characterized in that: The specific analysis process of wireless charging temperature risk analysis is as follows: The wireless charging temperature risk coefficient is obtained through analysis, and if the wireless charging temperature risk coefficient exceeds a preset wireless charging temperature risk coefficient threshold, a wireless charging test abnormality signal is generated; If the wireless charging temperature risk coefficient does not exceed the preset wireless charging temperature risk coefficient threshold, a wireless charging test pass signal is generated.

9. The wireless charging test system based on the Internet of Vehicles according to claim 8, characterized in that: The analysis and acquisition method of wireless charging temperature risk coefficient is as follows: During the wireless charging test, the temperature curve of the energy storage battery in the vehicle is obtained, and a rectangular coordinate system located in the first quadrant is established with time as the X-axis and temperature as the Y-axis. The temperature curve of the energy storage battery is placed in the rectangular coordinate system, and the initial endpoint of the temperature curve is located on the Y-axis; In the rectangular coordinate system, a temperature ray is drawn parallel to the X-axis and with its endpoint on the Y-axis. The area formed by the portion of the temperature curve above the temperature ray and the temperature ray is marked as the temperature over-range detection value. If the temperature over-range detection value exceeds the preset temperature over-range detection threshold, a wireless charging test abnormality signal is generated. If the temperature out-of-range detection value does not exceed the preset temperature out-of-range detection threshold, the wireless charging temperature risk coefficient is obtained by numerically calculating the temperature out-of-range detection value, the temperature increase abnormality value and the temperature increase condition value.

10. A wireless charging test method based on Internet of Vehicles, characterized in that: The method adopts the wireless charging test system based on the Internet of Vehicles as described in any one of claims 1-9.

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