A wireless charging guidance system and method for electric vehicles

Abstract

The present invention discloses a wireless charging guidance system and method for electric vehicles, and relates to the technical field of charging guidance systems. When charging starts, a calculation module calculates an initial charging time according to the remaining power of an electric bicycle. When charging starts, a monitoring module monitors multi-source data that affects the charging time of the electric bicycle in real time. After receiving the multi-source data, an analysis module comprehensively analyzes the multi-source data and establishes a correction coefficient. A prediction module corrects the initial charging time by the correction coefficient to obtain a predicted charging time. A warning module compares the correction coefficient with a warning threshold, and determines whether the electric bicycle still supports wireless charging according to the comparison result. When the electric bicycle is wirelessly charged, the guidance system can comprehensively analyze the factors that affect the charging speed and predict the charging time of the electric bicycle, thereby avoiding excessive waiting or continuous round trips by users, and avoiding long stay times of electric bicycles, thereby effectively improving the resource utilization efficiency of charging stations.

Description

Technical Field

[0001] The present invention relates to the technical field of charging guidance systems, and in particular to a wireless charging guidance system and method for electric vehicles. Background Art

[0002] Electric bicycles, also known as electric bicycles (e-bikes for short), are a type of transportation that combines bicycle and electric motor technology. They are designed to provide a more convenient, efficient, and environmentally friendly way of traveling while reducing pollution to the environment.

[0003] Traditional electric bicycle charging usually requires removing the battery from the bicycle and then connecting it to a charger for charging. This process can be cumbersome, especially in outdoor situations where there are no charging facilities. To solve this problem, manufacturers have begun to explore a more convenient charging method - wireless charging. Riders do not need to carry charging cables or remove the battery, making charging more convenient and faster.

[0004] The prior art has the following deficiencies:

[0005] The existing guidance system usually calculates the approximate charging time of the electric bicycle based on the remaining power of the electric bicycle when the electric bicycle is wirelessly charging. However, when the electric bicycle is wirelessly charging, it will be affected by other factors, which will cause the charging speed to change, and then the charging time to change. Since the guidance system does not take the influencing factors into consideration when charging, the estimated charging time has a large error, which will not only cause the user to wait too long or have to return to pick up the vehicle later, but also cause the electric bicycle to stay too long, affecting the resource utilization efficiency of the charging station. Summary of the invention

[0006] The object of the present invention is to provide a wireless charging guidance system and method for electric vehicles to solve the deficiencies in the background technology.

[0007] In order to achieve the above-mentioned object, the present invention provides the following technical solutions: a wireless charging guidance system for electric vehicles, comprising a sensing module, a computing module, a monitoring module, an analyzing module, a predicting module, a warning module and a user interface module;

[0008] Sensing module: used to receive the power signal sent from the charging pad and transmit the power to the battery, wake up the initial calculation module and the monitoring module after charging starts;

[0009] Calculation module: calculates the initial charging time according to the remaining power of the electric bicycle;

[0010] Monitoring module: real-time monitoring of multi-source data that affects the charging time of electric bicycles;

[0011] Analysis module: after receiving multi-source data, comprehensively analyze the multi-source data and establish correction coefficients;

[0012] Prediction module: The predicted charging time is obtained by correcting the initial charging time with the correction coefficient;

[0013] Warning module: compares the correction coefficient with the warning threshold, and determines whether the electric bicycle still supports wireless charging based on the comparison result;

[0014] User interface module: displays the predicted charging time information and the judgment results of the warning module to the user.

[0015] Preferably, the monitoring module monitors in real time the multi-source data that affects the charging time of the electric bicycle, the multi-source data including device parameters and environmental parameters, the device parameters including the battery status index and the charging device power, and the environmental parameters including the electromagnetic interference degree and the temperature and humidity fluctuation coefficient.

[0016] Preferably, after receiving the battery state index, charging device power, electromagnetic interference, and temperature and humidity floating coefficient, the analysis module comprehensively calculates the battery state index, charging device power, electromagnetic interference, and temperature and humidity floating coefficient to obtain the correction coefficient xzs, and the calculation expression is:

[0017]

[0018] Wherein, dcg is the electromagnetic interference degree, wsf is the temperature and humidity fluctuation coefficient, dcz is the battery state index, cdg is the charging equipment power, α, β, γ, δ are the proportional coefficients of the electromagnetic interference degree, the temperature and humidity fluctuation coefficient, the battery state index, and the charging equipment power, respectively, and α, β, γ, δ are all greater than 0.

[0019] Preferably, the prediction module corrects the initial charging time by using a correction coefficient to obtain the predicted charging time, comprising the following steps:

[0020] The initial charging time is marked as cs d , the initial charging time is corrected by the correction coefficient to obtain the predicted charging time, and the calculation expression is:

[0021]

[0022] In the formula, cs d is the initial charging time, yc d To predict charging time.

[0023] Preferably, after the warning module obtains the correction coefficient xzs value, it compares the correction coefficient xzs value with the warning threshold. If the correction coefficient xzs value is greater than the warning threshold, it is judged that the electric bicycle does not support wireless charging. If the correction coefficient xzs value is less than or equal to the warning threshold, it is judged that the electric bicycle supports wireless charging.

[0024] Preferably, the calculation expression of the electromagnetic interference degree is:

[0025]

[0026] Where E is the electric field strength, H is the magnetic field strength, and d is the distance.

[0027] Preferably, the calculation expression of the temperature and humidity floating coefficient is:

[0028]

[0029] Where wd s To monitor the ambient temperature in real time, Sd s To monitor the ambient humidity in real time, wd min ~wd max is the ambient stable temperature range, sd min ~sd max It is the stable humidity range of the environment.

[0030] Preferably, the calculation expression of the battery state index is:

[0031]

[0032] Where dcy is the current voltage of the battery, dyn is the minimum operating voltage of the battery, and dyx is the rated voltage of the battery.

[0033] Preferably, the calculation expression of the charging device power is:

[0034] cdg=dyz*dlz

[0035] Where dyz refers to the voltage provided by the charging device, and dlz refers to the current flowing through the charging device.

[0036] The present invention also provides a wireless charging guidance method for an electric vehicle, the guidance method comprising the following steps:

[0037] S1: When charging starts, the initial charging time is calculated based on the remaining power of the electric bicycle;

[0038] S2: Real-time monitoring of multi-source data that affect the charging time of electric bicycles;

[0039] S3: After receiving the multi-source data, the processing end comprehensively analyzes the multi-source data and establishes the correction coefficient;

[0040] S4: Correcting the initial charging time by the correction coefficient to obtain the predicted charging time;

[0041] S5: comparing the correction coefficient with the warning threshold, and judging whether the electric bicycle still supports wireless charging according to the comparison result;

[0042] S6: The predicted charging time information and the charging result are displayed to the user.

[0043] In the above technical solution, the technical effects and advantages provided by the present invention are:

[0044] 1. The present invention calculates the initial charging time according to the remaining power of the electric bicycle by the calculation module when charging starts. The monitoring module monitors the multi-source data that affects the charging time of the electric bicycle in real time when charging starts. After receiving the multi-source data, the analysis module comprehensively analyzes the multi-source data and establishes a correction coefficient. The prediction module corrects the initial charging time by the correction coefficient to obtain the predicted charging time. The warning module compares the correction coefficient with the warning threshold and determines whether the electric bicycle still supports wireless charging according to the comparison result. When the electric bicycle is wirelessly charged, the guidance system can comprehensively analyze the factors affecting the charging speed and predict the charging time of the electric bicycle, thereby avoiding excessive waiting or continuous round trips for users and avoiding long stay time of the electric bicycle, thereby effectively improving the resource utilization efficiency of the charging station. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present invention. For ordinary technicians in this field, other drawings can also be obtained based on these drawings.

[0046] Figure 1 It is a system module diagram of the present invention. DETAILED DESCRIPTION

[0047] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are 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] Example 1: Please refer to Figure 1As shown, the wireless charging guidance system for electric vehicles described in this embodiment includes a sensing module, a computing module, a monitoring module, an analyzing module, a predicting module, a warning module and a user interface module;

[0049] Induction module: located at the bottom of the battery or other designated location of the bicycle, it is used to receive the power signal sent from the charging pad and transmit the power to the battery. The induction module includes a receiving coil and a battery management unit. After charging starts, it wakes up the initial calculation module and the monitoring module.

[0050] Receiving coil: The receiving coil is one of the core components of the induction module; it is usually composed of one or more turns of coils, designed to effectively receive electromagnetic energy from the charging pad; the receiving coil is located at the bottom of the electric bicycle or other designated locations to ensure the efficiency of the charging process;

[0051] Battery Management Unit (BMS): The battery management unit is another important component of the sensing module; it is an intelligent controller that monitors and manages the status of the battery, including the battery's charge, voltage, temperature, and health. The BMS is responsible for transmitting the received power to the battery and ensuring the safety of the charging process and the battery's life.

[0052] Rectification and regulation circuit: The induction module usually also includes a rectification and regulation circuit to convert the AC power received from the receiving coil into DC power and adjust the voltage and current to suit the needs of the battery; this ensures that the charging can meet the charging characteristics and requirements of the battery;

[0053] The working principle of the sensing module is as follows:

[0054] When the e-bike is parked next to a charging pad or base station, the receiving coil starts to receive electromagnetic signals from the charging device;

[0055] The received electromagnetic signal induces a current in the receiving coil, which is converted into DC power by the rectification and conditioning circuits;

[0056] The battery management unit monitors the status and needs of the battery and transfers power to the battery for charging;

[0057] The BMS ensures that the charging process is safe and efficient while monitoring the battery's parameters to prevent problems such as overcharging or overheating.

[0058] Calculation module: When charging starts, the initial charging time is calculated based on the remaining power of the electric bicycle, and the initial charging time information is sent to the prediction module;

[0059] Measuring the remaining power: First, the remaining power of the electric bicycle battery needs to be measured; this can be achieved through a battery management system (BMS) or other battery status monitoring device; usually, the remaining power of the battery is expressed in kilowatt-hours (kWh);

[0060] Determine the power of the charging equipment to be used, usually expressed in kilowatts (kW); this can be the power rating of the charging pad or charging station.

[0061] Calculate the initial charging time: Divide the remaining power by the power of the charging device to get the initial charging time in hours.

[0062] For example, if the remaining power of the electric bicycle is 2kWh, and the power of the charging equipment is 1kW, then the initial charging time will be 2 hours (2kWh / 1kW=2 hours).

[0063] Monitoring module: When charging starts, it monitors the multi-source data that affects the charging time of the electric bicycle in real time, and sends the multi-source data to the analysis module after pre-processing;

[0064] Analysis module: after receiving multi-source data, it comprehensively analyzes the multi-source data and establishes correction coefficients, which are sent to the prediction module and the warning module;

[0065] Prediction module: After correcting the initial charging time by the correction coefficient, the predicted charging time is obtained, and the predicted charging time information is sent to the user interface module;

[0066] Warning module: compares the correction coefficient with the warning threshold, determines whether the electric bicycle still supports wireless charging based on the comparison result, and sends the judgment result to the user interface module;

[0067] User interface module: displays the predicted charging time information and the judgment result of the warning module to the user. The user interface module includes the display on the charging pile and the user's mobile phone app;

[0068] Real-time charging status: Users can monitor the charging status of the electric bicycle at any time through the mobile app, including information such as battery power, charging speed and remaining charging time;

[0069] Remote control: Users can start or stop the charging of the e-bike or set a charging schedule through the mobile app; this is very useful for charging at a specific time or avoiding overcharging;

[0070] Alerts and notifications: If there is a charging problem or other warning situation, the mobile app can send a notification to the user and provide suggestions or solutions;

[0071] History and reports: Users can view charging history to understand past charging conditions, including charging time, charging consumption, and charging efficiency;

[0072] User support and help: Mobile apps can also provide user support and help features, allowing users to ask questions or request help.

[0073] In the present application, when charging starts, the calculation module calculates the initial charging time according to the remaining power of the electric bicycle. When charging starts, the monitoring module monitors the multi-source data that affects the charging time of the electric bicycle in real time. After receiving the multi-source data, the analysis module comprehensively analyzes the multi-source data and establishes a correction coefficient. The prediction module corrects the initial charging time by the correction coefficient to obtain the predicted charging time. The warning module compares the correction coefficient with the warning threshold, and determines whether the electric bicycle still supports wireless charging based on the comparison result. When the electric bicycle is wirelessly charged, the guidance system can comprehensively analyze the factors affecting the charging speed and predict the charging time of the electric bicycle, thereby avoiding users from waiting too much or continuously going back and forth, and can avoid the electric bicycle from staying too long, effectively improving the resource utilization efficiency of the charging station.

[0074] Embodiment 2: When charging starts, the monitoring module monitors in real time the multi-source data that affects the charging time of the electric bicycle;

[0075] Among them, multi-source data includes device parameters and environmental parameters. Device parameters include battery status index and charging device power. Environmental parameters include electromagnetic interference degree and temperature and humidity fluctuation coefficient.

[0076] After receiving the multi-source data, the analysis module comprehensively analyzes the multi-source data and establishes the correction coefficient, including the following steps:

[0077] After receiving the battery status index, charging equipment power, electromagnetic interference, and temperature and humidity floating coefficient, the analysis module calculates the battery status index, charging equipment power, electromagnetic interference, and temperature and humidity floating coefficient to obtain the correction coefficient xzs. The calculation expression is:

[0078]

[0079] Wherein, dcg is the electromagnetic interference degree, wsf is the temperature and humidity fluctuation coefficient, dcz is the battery state index, cdg is the charging equipment power, α, β, γ, δ are the proportional coefficients of the electromagnetic interference degree, the temperature and humidity fluctuation coefficient, the battery state index, and the charging equipment power, respectively, and α, β, γ, δ are all greater than 0.

[0080] In this application:

[0081] The calculation expression of electromagnetic interference degree is:

[0082]

[0083] Where E is the electric field strength, H is the magnetic field strength, and d is the distance;

[0084] The greater the electromagnetic interference, the more interference there is in the electromagnetic wave transmission in the wireless charging system, thus affecting the energy transmission efficiency and speed. Specifically:

[0085] 1) Signal weakening and loss: Electromagnetic interference can cause the electromagnetic wave signal in the wireless charging system to be weakened or completely lost; this means that the power transmission signal between the charging device and the electric bicycle may not be transmitted normally, resulting in interruption or reduction of energy transmission;

[0086] 2) Reduced transmission power: Electromagnetic interference can reduce the transmission power, that is, the amount of energy transmitted by electromagnetic waves to the battery of the electric bicycle; this will lead to slower charging because the electric bicycle will take longer to accumulate enough energy;

[0087] 3) Reduced charging efficiency: Electromagnetic interference can also lead to incomplete energy transmission; some energy may be scattered, absorbed or dissipated instead of being transmitted to the battery of the electric bicycle; this will lead to reduced charging efficiency and require more energy to complete charging;

[0088] 4) Stability issues: Electromagnetic interference may cause instability in the charging system; discontinuity or interruption of energy transmission may cause the charging process to become unreliable, requiring additional monitoring and control to solve the problem;

[0089] 5) Safety hazards: Electromagnetic interference may cause safety issues such as battery overheating or battery damage because the transmitted energy is not controlled or cannot adapt to the battery's needs.

[0090] The calculation expression of temperature and humidity floating coefficient is:

[0091]

[0092] Where wd s To monitor the ambient temperature in real time, Sd s To monitor the ambient humidity in real time, wd min ~wd max is the ambient stable temperature range, sd min ~sd max The humidity range is stable for the environment;

[0093] The larger the temperature and humidity fluctuation coefficient, the greater the impact of the current temperature and humidity conditions on the wireless charging speed. Specifically:

[0094] 1) High temperature environment:

[0095] Degraded battery performance: In high temperature environments, battery performance generally degrades; the internal resistance of the battery increases and the battery capacity may decrease, which can cause the battery charging speed to decrease;

[0096] Thermal runaway risk: Excessively high temperatures may cause the battery to overheat, thus reducing the charging speed to avoid further exacerbating the battery temperature problem;

[0097] Reduced battery life: Frequent charging at high temperatures may shorten the life of the battery, so the charging system usually adjusts the charging speed to reduce thermal stress on the battery;

[0098] 2) Low temperature environment:

[0099] Reduced battery reaction speed: In a low temperature environment, the battery chemical reaction rate slows down and the battery's internal resistance increases; this causes the battery to charge slower at low temperatures because the battery cannot absorb energy effectively;

[0100] Reduced battery capacity: Cold temperatures reduce the available capacity of your battery. The battery may charge faster, but it will hold less energy.

[0101] Reduced charging efficiency: Because batteries charge more slowly at low temperatures, the charging system may need to invest more energy to achieve the same charge level, reducing charging efficiency;

[0102] 3) High humidity environment:

[0103] Electromagnetic wave transmission: In a high humidity environment, there may be more water vapor in the air, which can increase the propagation loss of electromagnetic waves; high humidity will lead to increased absorption of electromagnetic waves, thereby reducing the transmission distance and efficiency of electrical energy;

[0104] Signal interference: High humidity may increase the scattering and multipath propagation of electromagnetic signals, which may cause signal interference and affect communication and energy transmission between charging devices;

[0105] 4) Low humidity environment:

[0106] Battery Moisture Retention: Lithium-ion batteries are sensitive to humidity. Extremely low humidity may cause the battery to lose water and dry out, negatively affecting battery performance and reducing charging speed.

[0107] The calculation expression of the battery status index is:

[0108]

[0109] In the formula, dcy is the current voltage value of the battery, dyn is the minimum operating voltage of the battery, and dyx is the rated voltage of the battery;

[0110] A larger battery status index improves the battery charging efficiency and speed, because a larger battery status value indicates a higher charge level of the battery, and the current and voltage during charging can be more fully utilized.

[0111] The calculation expression of charging equipment power is:

[0112] cdg=dyz*dlz

[0113] In the formula, dyz refers to the voltage provided by the charging device, and dlz refers to the current flowing through the charging device. The greater the power of the charging device, the faster the energy transmission speed provided by the charging device. Therefore, the energy can be transmitted to the battery of the electric bicycle faster, thereby improving the charging speed. Compared with charging devices with lower power, charging devices with higher power can provide more energy in the same time, so the charging process can be completed faster, and the energy transmission efficiency of the charging device will usually increase accordingly. Higher power means that more energy can be effectively transmitted to the battery of the electric bicycle, reducing energy loss and waste. Therefore, charging devices with higher power can improve the charging efficiency, so that more energy can be charged into the battery of the electric bicycle, reducing energy waste.

[0114] The prediction module corrects the initial charging time by using the correction coefficient to obtain the predicted charging time, including the following steps:

[0115] The initial charging time is marked as cs d , the initial charging time is corrected by the correction coefficient to obtain the predicted charging time, and the calculation expression is:

[0116]

[0117] In the formula, cs d is the initial charging time, yc d To predict charging time.

[0118] The warning module compares the correction coefficient with the warning threshold, and determines whether the electric bicycle still supports wireless charging based on the comparison result, including the following steps:

[0119] After the warning module obtains the correction coefficient xzs value, it compares the correction coefficient xzs value with the warning threshold. If the correction coefficient xzs value is greater than the warning threshold, it is determined that the electric bicycle does not support wireless charging. If the correction coefficient xzs value is less than or equal to the warning threshold, it is determined that the electric bicycle supports wireless charging.

[0120] When it is determined that the electric bicycle does not support wireless charging, it means that the charging pile cannot charge the electric bicycle or the charging speed is too slow. The user needs to replace other charging piles or charge again.

[0121] Embodiment 3: This embodiment describes a wireless charging guidance method for an electric vehicle, the guidance method comprising the following steps:

[0122] When charging starts, the initial charging time is calculated based on the remaining power of the electric bicycle, and the multi-source data that affects the charging time of the electric bicycle is monitored in real time. After the processing end receives the multi-source data, it comprehensively analyzes the multi-source data and establishes a correction coefficient. The initial charging time is corrected by the correction coefficient to obtain the predicted charging time. The correction coefficient is compared with the warning threshold. Based on the comparison result, it is determined whether the electric bicycle still supports wireless charging. The predicted charging time information and the warning module judgment result are displayed to the user.

[0123] The above formulas are all dimensionless and numerical calculations. The formula is a formula for the most recent real situation obtained by collecting a large amount of data and performing software simulation. The preset parameters in the formula are set by technicians in this field according to actual conditions.

[0124] The above embodiments can be implemented in whole or in part by software, hardware, firmware or any other combination. When implemented by software, the above embodiments can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions or computer programs. When the computer instructions or computer programs are loaded or executed on a computer, the process or function described in the embodiment of the present application is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions can be transmitted from one website site, computer, server or data center to another website site, computer, server or data center by wired or wireless (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server or data center that contains one or more available media sets. The available medium can be a magnetic medium (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium. The semiconductor medium can be a solid-state hard disk.

[0125] It should be understood that the term "and / or" in this article is only a description of the association relationship of associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. A and B can be singular or plural. In addition, the character " / " in this article generally indicates that the associated objects before and after are in an "or" relationship, but it may also indicate an "and / or" relationship. Please refer to the context for specific understanding.

[0126] In this application, "at least one" means one or more, and "more than one" means two or more. "At least one of the following" or similar expressions refers to any combination of these items, including any combination of single or plural items. For example, at least one of a, b, or c can be represented by: a, b, c, ab, ac, bc, or abc, where a, b, c can be single or multiple.

[0127] It should be understood that in the various embodiments of the present application, the size of the serial numbers of the above-mentioned processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0128] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0129] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0130] In the several embodiments provided in the present application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0131] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0132] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0133] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application can be essentially or partly embodied in the form of a software product that contributes to the prior art. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods described in each embodiment of the present application. The aforementioned storage medium includes: various media that can store program codes, such as USB flash drives, mobile hard disks, read-only memories (ROM), random access memories (RAM), magnetic disks or optical disks.

[0134] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. A wireless charging guidance system for electric vehicles, characterized in that: It includes a sensing module, a computing module, a monitoring module, an analysis module, a prediction module, a warning module and a user interface module; Sensing module: used to receive the power signal sent from the charging pad and transmit the power to the battery, wake up the initial calculation module and the monitoring module after charging starts; Calculation module: calculates the initial charging time according to the remaining power of the electric bicycle; Monitoring module: real-time monitoring of multi-source data that affects the charging time of electric bicycles; Analysis module: after receiving multi-source data, comprehensively analyze the multi-source data and establish correction coefficients; Prediction module: The predicted charging time is obtained by correcting the initial charging time with the correction coefficient; Warning module: compares the correction coefficient with the warning threshold, and determines whether the electric bicycle still supports wireless charging based on the comparison result; User interface module: displays the predicted charging time information and the judgment result of the warning module to the user; The monitoring module monitors in real time the multi-source data that affects the charging time of the electric bicycle, the multi-source data including device parameters and environmental parameters, the device parameters including the battery status index and the charging device power, and the environmental parameters including the electromagnetic interference degree and the temperature and humidity fluctuation coefficient; After receiving the battery status index, charging device power, electromagnetic interference, and temperature and humidity fluctuation coefficient, the analysis module comprehensively calculates the battery status index, charging device power, electromagnetic interference, and temperature and humidity fluctuation coefficient to obtain the correction coefficient. , the calculation expression is: ； In the formula, is the electromagnetic interference degree, is the temperature and humidity fluctuation coefficient, is the battery status index, is the charging device power, , , , They are electromagnetic interference degree, temperature and humidity fluctuation coefficient, battery status index, and proportional coefficient of charging equipment power, respectively. , , , Both are greater than 0.

2. A wireless charging guidance method using the wireless charging guidance system of claim 1, characterized in that: The boot method comprises the following steps: S1: When charging starts, the initial charging time is calculated based on the remaining power of the electric bicycle; S2: Real-time monitoring of multi-source data that affect the charging time of electric bicycles; S3: After receiving the multi-source data, the processing end comprehensively analyzes the multi-source data and establishes the correction coefficient; S4: Correcting the initial charging time by the correction coefficient to obtain the predicted charging time; S5: comparing the correction coefficient with the warning threshold, and judging whether the electric bicycle still supports wireless charging according to the comparison result; S6: The predicted charging time information and the charging result are displayed to the user.

Images