Dual-frequency charging and discharging resonance-based waterproof false triggering system and method for vehicle exterior handle

Abstract

The application discloses a dual-frequency charging and discharging resonance-based waterproof false triggering system and method for an outside handle of a vehicle, and relates to the technical field of automobile electronics.The electrode array formed by the capacitor detection electrode is arranged on the inner side of the outside handle of the vehicle to form a capacitive sensor for the outside handle of the vehicle; in an interference-free environment, the high-frequency and low-frequency mutual-capacitance reference values are collected, and the compensation parameter library is established in association with the parameters of the shell of the outside handle of the vehicle; the proximity signal is detected by using the self-capacitance channel of the electrode array, the high-frequency and low-frequency mutual-capacitance signals are collected, and the high-frequency and low-frequency mutual-capacitance signals are preprocessed; the high-frequency and low-frequency mutual-capacitance signals after the preprocessing are corrected by calling the compensation parameter library, the mutual-capacitance increment and the change slope of the high-frequency and low-frequency mutual-capacitance signals are calculated; and the human body touch and the water interference are distinguished by analyzing the high-frequency and low-frequency signals based on the mutual-capacitance increment and the change slope.

Description

Technical Field

[0001] This invention relates to the field of automotive electronics technology, specifically to a waterproof accidental triggering system and method for vehicle exterior door handles based on dual-frequency charge-discharge resonance. Background Technology

[0002] In the process of automotive intelligence development, capacitive touch switches for exterior door handles have been widely used due to their ease of operation, but traditional technology has obvious drawbacks.

[0003] While self-capacitance detection is simple in design, it cannot distinguish between human body and water. In scenarios such as rain or car washing, both conductive liquids and human body will change the self-capacitance signal of the electrodes, making it easy to cause false triggering due to water adhesion. Mutual capacitance detection has better anti-interference than self-capacitance, but traditional single-frequency mutual capacitance solutions still cannot effectively distinguish between human touch and liquid splash, and are sensitive to the thickness of the covering. In existing technologies, some touch devices use specific electrode structures and high-frequency signals to detect mutual capacitance changes to distinguish trigger sources, but they still have shortcomings in terms of adaptability to the curved surfaces of car handles and anti-interference in automotive-grade environments.

[0004] Therefore, there is an urgent need for a waterproof accidental triggering system and method for vehicle exterior handles based on dual-frequency charging and discharging resonance to solve the above problems. Summary of the Invention

[0005] The purpose of this invention is to provide a waterproof accidental triggering system and method for vehicle exterior handles based on dual-frequency charging and discharging resonance, so as to solve the problems raised in the prior art.

[0006] To achieve the above objectives, the present invention provides the following technical solution: a method for waterproofing accidental triggering of vehicle exterior handles based on dual-frequency charge-discharge resonance, the method comprising the following steps:

[0007] An electrode array consisting of capacitance detection electrodes is arranged on the inside of the vehicle's exterior handle to form an exterior handle capacitance sensor.

[0008] Furthermore, the electrode array is made of copper foil, and the electrodes are rectangular in shape, arranged in two rows and N columns on the substrate, where N is an integer ≥2. The specific value needs to be determined in combination with the "sensor length" and "cover thickness" to ensure that the electrode array can completely cover the vehicle's exterior handle area. In two adjacent columns of electrodes, the two electrodes on the same side are connected to form the emitter and receiver, respectively, and the emitter and receiver are alternately distributed to cover the vehicle's exterior handle area. The substrate with the electrode array is fixed to the inside of the plastic shell of the vehicle's exterior handle by an adhesive bonding process, and the cavity between the substrate and the plastic shell is filled with potting compound.

[0009] The capacitive sensor consists of a handle cover on the outside of the handlebar, a capacitive switch, and a handlebar base. The capacitive switch is embedded in the handlebar base, and the handle cover covers the outside to form the handlebar body.

[0010] The capacitive switch consists of a wiring harness, silicone plug, printed circuit board assembly, and housing on the circuit side. The capacitive switch is connected to the printed circuit board assembly encapsulated inside the housing via the wiring harness, and the gap where the wiring harness enters the housing is sealed with a silicone plug.

[0011] In an interference-free environment, the S200 collects high-frequency and low-frequency mutual capacitance reference values ​​and establishes a compensation parameter library by associating them with the parameters of the vehicle's external handle shell.

[0012] Furthermore, the specific steps of S200 are as follows:

[0013] In the initial state where the S201 external handle capacitive sensor is assembled but not yet installed on the vehicle, and the handle is in an environment free from interfering media, and in an environment where there is no contact or proximity to human bodies, liquids (such as water), metals, or other media that may affect the capacitive signal, a dual-frequency detection method is used. In high-frequency mode, a preset high-frequency charging and discharging pulse is emitted to the electrode array at a frequency fH. The mutual capacitance structure formed by the emitter and receiver in the electrode array generates a change in the mutual capacitance signal. The mutual capacitance signal is continuously collected, and the number of samplings reaches the effective sample size M. After the collection is completed, the average value of the collected mutual capacitance signal is calculated using a mean calculation method. The obtained mean value is used as the high-frequency mutual capacitance value and as the high-frequency reference value C. Hbase In low-frequency mode, using a preset low-frequency frequency fL, the transmission, acquisition, and averaging processes from high-frequency mode are reused to obtain the low-frequency mutual capacitance value as the low-frequency reference value C. Lbase ;

[0014] S202 collected the dielectric constant ε, structural thickness d, and electrode array layout parameters P of the outer handle capacitive sensor housing material. Several housing samples of varying thicknesses were prepared, and the high-frequency mutual capacitance C was collected for each thickness condition. H (d) and low-frequency mutual capacitance value C L (d), and with reference thickness d0 corresponding to the mutual compatibility value C H (d0), C L Using (d0) as the reference, calculate the high-frequency mutual capacitance deviation ΔC. H (d) and low-frequency mutual capacitance deviation ΔC L (d), the calculation formulas are as follows:

[0015] ;

[0016] By simulating temperature changes, the high-frequency mutual capacitance value and low-frequency mutual capacitance value C under different dielectric constants ε were measured. H (ε) and C L (ε), and with reference dielectric constant ε0 corresponding to mutual capacitance value C. H (ε0), C L Using (ε0) as a reference, calculate the mutual capacitance deviation ΔC caused by the change in dielectric constant. H (ε) and ΔCL (ε), its calculation formula is:

[0017] ;

[0018] Adjust the electrode array layout parameters P. Electrode array layout parameters P is a set of parameters describing the arrangement characteristics of rectangular copper foil electrodes on the substrate. These mainly include physical arrangement parameters such as the number of electrodes (the specific value of N), the spacing between adjacent electrodes, the length and width dimensions of the electrodes, the row and column spacing, and the alternating distribution interval of the emitter and receiver electrodes. Measure the corresponding high-frequency mutual capacitance value C. H (P), C L (P), and based on the high-frequency mutual capacitance value and low-frequency mutual capacitance value C corresponding to the baseline layout parameter P0. H (P0) and C L Using (P0) as a reference, calculate the mutual capacitance deviation ΔC. H (P) and ΔC L (P), its calculation formula is:

[0019] ;

[0020] The correlation between dielectric constant ε, structural thickness d, electrode array layout parameter P and mutual capacitance deviation is integrated to establish a "dielectric property-structural parameter-capacitance deviation" compensation model, which is expressed in the form of a mapping table. The compensation model and the set of deviation parameters are stored in the compensation database to form a compensation parameter library.

[0021] By integrating the above parameters with the mutual capacitance deviation, a mapping table that can be directly queried is formed, enabling the sensor to quickly call the corresponding deviation value in actual work, correct the mutual capacitance signal deviation caused by changes in shell thickness, temperature-induced dielectric constant fluctuations, layout differences, etc., and ensure that the detection accuracy of high-frequency and low-frequency mutual capacitance signals is consistent under different environmental and structural conditions.

[0022] The S300 uses the self-capacitive channel of the electrode array to detect proximity signals, collect high and low frequency mutual capacitance signals, and preprocess the high and low frequency mutual capacitance signals.

[0023] Furthermore, the specific steps for S300 are as follows:

[0024] S301 uses the self-capacitive channel of the electrode array to apply a weak electrical signal to the electrode and periodically monitors the change in the capacitance value of the electrode itself. When the signal change detected by the self-capacitive channel exceeds the preset threshold, the signal change exceeding the preset threshold is used as a trigger condition to switch the external handle capacitance sensor from low power mode to fast scanning mode.

[0025] After the S302 enters the fast scan mode, the external handle capacitive sensor alternately outputs high-frequency and low-frequency charging and discharging pulses. These pulses are emitted into the surrounding space through the transmitter in the electrode array, forming an alternating electric field between the transmitter and receiver. When an external medium enters the area of ​​the electric field, the mutual capacitance signal between the transmitter and receiver changes. Through the signal sampling circuit, the corresponding high-frequency mutual capacitance signal and low-frequency mutual capacitance signal are collected in real time in sync with the pulse output.

[0026] S304 uses median filtering to process the acquired high-frequency and low-frequency mutual capacitance signals, and employs an infinite impulse response filtering algorithm to smooth the mutual capacitance signals that have undergone preliminary median filtering.

[0027] S400 calls the compensation parameter library to correct the preprocessed high and low frequency mutual capacitance signals and calculates the mutual capacitance increment and change slope of the high and low frequency mutual capacitance signals.

[0028] Furthermore, the specific steps for S400 are as follows:

[0029] S401 matches the high-frequency and low-frequency mutual capacitance signals, which have undergone median filtering and infinite impulse response filtering algorithms, with the corresponding deviation data in the compensation parameter library. Then, it corrects the filtered high-frequency and low-frequency mutual capacitance signals according to the "dielectric properties-structural parameters-capacitance deviation" compensation model, obtaining the corrected high-frequency mutual capacitance signal C. H (t) and low-frequency mutual capacitance signal C L (t);

[0030] S402 is based on the compensated and corrected high-frequency mutual capacitance signal C. H (t) and low-frequency mutual capacitance signal C L (t), combined with the high-frequency mutual capacitance reference value C Hbase and low-frequency mutual capacitance reference value C Lbase Calculate the high-frequency mutual capacitance increment ΔC respectively. H (t) and low-frequency mutual capacitance increment ΔC L (t), its calculation formula is:

[0031] ;

[0032] Simultaneously calculate the high-frequency mutual capacitance signal C. H (t) and low-frequency mutual capacitance signal C L The slope of the change in (t) k H (t) and k L (t), the calculation formula is:

[0033] ,

[0034] Where Δt represents the time interval between adjacent sampling times, and t-Δt represents the sampling time preceding the current time t;

[0035] By compensating and incrementally calculating the filtered high-frequency and low-frequency mutual capacitance signals, the signal accuracy and reliability of the system are effectively improved. This processing can not only dynamically adapt to environmental changes and enhance the ability to distinguish between human touch and water interference, but also improve the accuracy of trigger judgment by calculating the increment and change slope, avoiding false triggering and missed identification. In addition, the real-time adjustment of the compensation model ensures the stability of the system in complex environments and the response speed after long-term use, thereby greatly optimizing the overall performance of the vehicle exterior handle waterproof false triggering system.

[0036] Based on mutual capacitance increment and change slope, the S500 distinguishes between human touch and water interference by analyzing high-frequency and low-frequency signals.

[0037] Furthermore, the specific steps for the S500 are as follows:

[0038] S501 Analysis of Low-Frequency Mutual Capacitance Increment ΔC L (t), based on the characteristic that water and the human body will cause capacitance changes at low frequencies because their dielectric constants are higher than those of air, determine whether a high dielectric medium exists, when ΔC L When (t)≥C, where C is the threshold for significant low-frequency changes, it is determined that a high dielectric medium exists.

[0039] S502 uses high-frequency mutual capacitance increment ΔC H (t) and the slope of change k H (t) Analysis of high-frequency response differences: when ΔC H (t) is a positive value and falls within the preset high-frequency positive increment range of the human body [A1, A2], where A1 and A2 are positive thresholds based on human touch sample statistics, and k H If the absolute value of (t) is less than or equal to the human touch slope threshold K1, it is initially determined to be a human touch feature; when ΔC H (t) is a negative value and falls within the preset negative increment range of high-frequency water [B1, B2], where B1 and B2 are negative thresholds based on water interference sample statistics, and k H If the absolute value of (t) is greater than or equal to the water disturbance slope threshold K2, it is initially determined to be a water disturbance feature.

[0040] S503 verifies the stability of the preliminary judgment result by continuously monitoring for Q sampling periods. If ΔC H (t) remains in the interval [A1,A2], k H (t) The absolute value is consistently less than or equal to K1, and ΔC L (t) Continuously conforms to the low-frequency characteristics of a high-dielectric dielectric: ΔC LIf (t)≥C, then human touch is confirmed; continuously monitor for P sampling periods, if ΔC H (t) remains in the interval [B1, B2], k H (t) The absolute value is always greater than or equal to K2, and ΔC L If (t) is consistently greater than or equal to C, then water interference is confirmed;

[0041] S504 confirms human touch, and the high-frequency mutual capacitance increment ΔC H (t) is greater than 0 and greater than the first preset threshold, i.e., ΔC H When (t)≥A1, the unlock or lock command for the exterior handle is triggered; when water interference is confirmed, and the high-frequency mutual capacitance increment ΔC H (t) is less than 0 and less than the second preset threshold, i.e., ΔC H When (t)≤B2, no operation is triggered;

[0042] By accurately analyzing the increment and slope of low-frequency and high-frequency mutual capacitance signals, the system effectively distinguishes between human touch and water interference. These steps improve the system's adaptability to environmental changes, enhance its robustness and anti-interference capabilities, and ensure stability and accuracy in different environments. By continuously monitoring the stability of the signals, the system can reduce the probability of false recognition, optimize the real-time performance and accuracy of trigger judgment, and ultimately improve the user experience. This ensures that the operation of the vehicle's external handle is accurate during normal use, while effectively avoiding false triggering caused by water interference.

[0043] To better realize the method of waterproof false triggering of vehicle handle based on dual-frequency charging and discharging resonance, a waterproof false triggering system for vehicle handle based on dual-frequency charging and discharging resonance is also proposed. The system includes a capacitor detection electrode array layout module, a compensation parameter library establishment module, a mutual capacitance signal acquisition and preprocessing module, a mutual capacitance signal compensation and incremental calculation module, and a touch and water interference judgment module.

[0044] The capacitance detection electrode array layout module is used to arrange a rectangular electrode array made of copper foil in two rows and N columns inside the plastic shell of the vehicle handle. The electrodes are fixed by an adhesive process and the cavity is sealed with potting compound to form a capacitance sensor.

[0045] The compensation parameter library establishment module is used to collect the dielectric constant, structural thickness and electrode array layout parameters of the sensor shell, establish a compensation model of "dielectric properties-structural parameters-capacitance deviation", and store the deviation parameters to form a compensation parameter library;

[0046] The mutual capacitance signal acquisition and preprocessing module is used to acquire high-frequency and low-frequency mutual capacitance signals through an electrode array, and to perform median filtering and infinite impulse response filtering on the signals.

[0047] The mutual capacitance signal acquisition and preprocessing module includes a signal acquisition unit and a signal filtering unit;

[0048] The signal acquisition unit is used to alternately output high-frequency and low-frequency charging and discharging pulses through the electrode array, and to acquire the corresponding high-frequency mutual capacitance signal and low-frequency mutual capacitance signal in real time;

[0049] The signal filtering unit is used to perform median filtering and infinite impulse response filtering on the acquired mutual capacitance signal to remove noise and extract smooth signals;

[0050] The mutual capacitance signal compensation and increment calculation module is used to correct the preprocessed mutual capacitance signal based on the compensation parameter library, and to calculate the high-frequency and low-frequency mutual capacitance increments and their change slopes.

[0051] The touch and water interference determination module is used to determine human touch or water interference based on the high-frequency mutual capacitance increment and its slope, and accordingly trigger or suppress the unlocking and locking operations of the vehicle's exterior handles.

[0052] The touch and water interference determination module includes a low-frequency signal analysis unit and a high-frequency signal determination unit;

[0053] The low-frequency signal analysis unit is used to analyze low-frequency mutual capacitance increments and determine whether they conform to the response characteristics of high dielectric constant media.

[0054] The high-frequency signal determination unit is used to distinguish between human touch and water interference based on the high-frequency mutual capacitance increment and its stability, and outputs the final determination result.

[0055] Compared with the prior art, the beneficial effects of the present invention are:

[0056] 1. By adopting dual-frequency charging and discharging resonance technology and utilizing the characteristic differences between high-frequency and low-frequency mutual capacitance signals, high-precision differentiation between human touch and water interference is achieved, effectively preventing the accidental triggering of waterproofing on the vehicle's exterior handle.

[0057] 2. A compensation parameter library containing electrode array layout parameters, shell dielectric constant, and structural thickness was established. Combined with real-time signal compensation and dynamic threshold adjustment, the system's adaptability to environmental changes and detection stability were improved.

[0058] 3. The use of a self-capacitive channel enables proximity detection and fast mode switching in low-power mode, reducing system energy consumption, extending sensor lifespan, while ensuring response speed and sensitivity, and improving overall system performance. Attached Figure Description

[0059] Figure 1 This is a schematic diagram of the structure of the capacitive sensor for the vehicle exterior handle in the present invention, which is a method for waterproofing accidental triggering of vehicle exterior handles based on dual-frequency charge-discharge resonance.

[0060] Figure 2This is a schematic diagram of the structure of the waterproof accidental triggering system for vehicle exterior handles based on dual-frequency charge-discharge resonance of the present invention;

[0061] Figure 3 This is a schematic diagram of an embodiment of the method for preventing accidental triggering of vehicle exterior handles based on dual-frequency charging and discharging resonance of the present invention;

[0062] Figure 4 This is a comparison diagram of the high-frequency mutual capacitance signal characteristics under different working conditions in the vehicle external handle anti-false triggering method based on dual-frequency charging and discharging resonance of the present invention. Detailed Implementation

[0063] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0064] Example: Figures 1-4 As shown, this invention provides a technical solution for a method to prevent accidental triggering of waterproofing on vehicle exterior door handles based on dual-frequency charging and discharging resonance. The method includes the following steps:

[0065] An electrode array consisting of capacitance detection electrodes is arranged on the inside of the vehicle's exterior handle to form an exterior handle capacitance sensor.

[0066] Furthermore, the electrode array is made of copper foil, and the electrodes are rectangular in shape, arranged in two rows and N columns on the substrate. The "substrate" on which the electrode array is arranged is an FR4 circuit board. The electrode array (copper foil rectangular electrodes) is directly arranged on this circuit board, forming the core sensing structure of the capacitive sensor, providing stable carrier support for the electrodes. N is an integer ≥2, and the specific value needs to be determined in combination with the "sensor length" and "cover thickness" to ensure that the electrode array can completely cover the area of ​​the vehicle's exterior handle. In two adjacent columns of electrodes, the two electrodes on the same side are connected to form the emitter and receiver, respectively, and the emitter and receiver are alternately distributed to cover the area of ​​the vehicle's exterior handle. The substrate on which the electrode array is arranged is fixed to the inside of the plastic shell of the vehicle's exterior handle by an adhesive bonding process, and the cavity between the substrate and the plastic shell is filled with potting compound.

[0067] The capacitive sensor consists of a handle cover on the outside of the handlebar, a capacitive switch, and a handlebar base. The capacitive switch is embedded in the handlebar base, and the handle cover covers the outside to form the handlebar body.

[0068] The capacitive switch consists of a wiring harness, silicone plug, printed circuit board assembly, and housing on the circuit side. The capacitive switch is connected to the printed circuit board assembly encapsulated inside the housing via the wiring harness, and the gap where the wiring harness enters the housing is sealed with a silicone plug.

[0069] In an interference-free environment, the S200 collects high-frequency and low-frequency mutual capacitance reference values ​​and establishes a compensation parameter library by associating them with the parameters of the vehicle's external handle shell.

[0070] Furthermore, the specific steps of S200 are as follows:

[0071] In the initial state where the S201 external handle capacitive sensor is assembled but not yet installed on the vehicle, and the handle is in an environment free from interfering media, and in an environment where there is no contact or proximity to human bodies, liquids (such as water), metals, or other media that may affect the capacitive signal, a dual-frequency detection method is used. In high-frequency mode, a preset high-frequency charging and discharging pulse is emitted to the electrode array at a frequency fH. The mutual capacitance structure formed by the emitter and receiver in the electrode array generates a change in the mutual capacitance signal. The mutual capacitance signal is continuously collected, and the number of samplings reaches the effective sample size M. After the collection is completed, the average value of the collected mutual capacitance signal is calculated using a mean calculation method. The obtained mean value is used as the high-frequency mutual capacitance value and as the high-frequency reference value C. Hbase In low-frequency mode, using a preset low-frequency frequency fL, the transmission, acquisition, and averaging processes from high-frequency mode are reused to obtain the low-frequency mutual capacitance value as the low-frequency reference value C. Lbase ;

[0072] S202 collected the dielectric constant ε, structural thickness d, and electrode array layout parameters P of the outer handle capacitive sensor housing material. Several housing samples of varying thicknesses were prepared, and the high-frequency mutual capacitance C was collected for each thickness condition. H (d) and low-frequency mutual capacitance value C L (d), and with reference thickness d0 corresponding to the mutual compatibility value C H (d0), C L Using (d0) as the reference, calculate the high-frequency mutual capacitance deviation ΔC. H (d) and low-frequency mutual capacitance deviation ΔC L (d), the calculation formulas are as follows:

[0073] ;

[0074] By simulating temperature changes, the high-frequency mutual capacitance value and low-frequency mutual capacitance value C under different dielectric constants ε were measured. H (ε) and C L (ε), and with reference dielectric constant ε0 corresponding to mutual capacitance value C. H (ε0), C L Using (ε0) as a reference, calculate the mutual capacitance deviation ΔC caused by the change in dielectric constant. H (ε) and ΔC L (ε), its calculation formula is:

[0075] ;

[0076] Adjust the electrode array layout parameters P. Electrode array layout parameters P is a set of parameters describing the arrangement characteristics of rectangular copper foil electrodes on the substrate. These mainly include physical arrangement parameters such as the number of electrodes (the specific value of N), the spacing between adjacent electrodes, the length and width dimensions of the electrodes, the row and column spacing, and the alternating distribution interval of the emitter and receiver electrodes. Measure the corresponding high-frequency mutual capacitance value C. H (P), C L (P), and based on the high-frequency mutual capacitance value and low-frequency mutual capacitance value C corresponding to the baseline layout parameter P0. H (P0) and C L Using (P0) as a reference, calculate the mutual capacitance deviation ΔC. H (P) and ΔC L (P), its calculation formula is:

[0077] ;

[0078] The correlation between dielectric constant ε, structural thickness d, electrode array layout parameter P and mutual capacitance deviation is integrated to establish a "dielectric property-structural parameter-capacitance deviation" compensation model, which is expressed in the form of a mapping table. The compensation model and the set of deviation parameters are stored in the compensation database to form a compensation parameter library.

[0079] By integrating the above parameters with the mutual capacitance deviation, a mapping table that can be directly queried is formed, enabling the sensor to quickly call the corresponding deviation value in actual work, correct the mutual capacitance signal deviation caused by changes in shell thickness, temperature-induced dielectric constant fluctuations, layout differences, etc., and ensure that the detection accuracy of high-frequency and low-frequency mutual capacitance signals is consistent under different environmental and structural conditions.

[0080] The S300 uses the self-capacitive channel of the electrode array to detect proximity signals, collect high and low frequency mutual capacitance signals, and preprocess the high and low frequency mutual capacitance signals.

[0081] Furthermore, the specific steps for S300 are as follows:

[0082] S301 uses the self-capacitive channel of the electrode array to apply a weak electrical signal to the electrode and periodically monitors the change in the capacitance value of the electrode itself. When the signal change detected by the self-capacitive channel exceeds the preset threshold, the signal change exceeding the preset threshold is used as a trigger condition to switch the external handle capacitance sensor from low power mode to fast scanning mode.

[0083] After the S302 enters the fast scan mode, the external handle capacitive sensor alternately outputs high-frequency and low-frequency charging and discharging pulses. These pulses are emitted into the surrounding space through the transmitter in the electrode array, forming an alternating electric field between the transmitter and receiver. When an external medium enters the area of ​​the electric field, the mutual capacitance signal between the transmitter and receiver changes. Through the signal sampling circuit, the corresponding high-frequency mutual capacitance signal and low-frequency mutual capacitance signal are collected in real time in sync with the pulse output.

[0084] S304 uses median filtering to process the acquired high-frequency and low-frequency mutual capacitance signals, and employs an infinite impulse response filtering algorithm to smooth the mutual capacitance signals that have undergone preliminary median filtering.

[0085] S400 calls the compensation parameter library to correct the preprocessed high and low frequency mutual capacitance signals and calculates the mutual capacitance increment and change slope of the high and low frequency mutual capacitance signals.

[0086] Furthermore, the specific steps for S400 are as follows:

[0087] S401 matches the high-frequency and low-frequency mutual capacitance signals, which have undergone median filtering and infinite impulse response filtering algorithms, with the corresponding deviation data in the compensation parameter library. Then, it corrects the filtered high-frequency and low-frequency mutual capacitance signals according to the "dielectric properties-structural parameters-capacitance deviation" compensation model, obtaining the corrected high-frequency mutual capacitance signal C. H (t) and low-frequency mutual capacitance signal C L (t);

[0088] S402 is based on the compensated and corrected high-frequency mutual capacitance signal C. H (t) and low-frequency mutual capacitance signal C L (t), combined with the high-frequency mutual capacitance reference value C Hbase and low-frequency mutual capacitance reference value C Lbase Calculate the high-frequency mutual capacitance increment ΔC respectively. H (t) and low-frequency mutual capacitance increment ΔC L (t), its calculation formula is:

[0089] ;

[0090] Simultaneously calculate the high-frequency mutual capacitance signal C. H (t) and low-frequency mutual capacitance signal C L The slope of the change in (t) k H (t) and k L (t), the calculation formula is:

[0091] ,

[0092] Where Δt represents the time interval between adjacent sampling times, and t-Δt represents the sampling time preceding the current time t;

[0093] By compensating and incrementally calculating the filtered high-frequency and low-frequency mutual capacitance signals, the signal accuracy and reliability of the system are effectively improved. This processing can not only dynamically adapt to environmental changes and enhance the ability to distinguish between human touch and water interference, but also improve the accuracy of trigger judgment by calculating the increment and change slope, avoiding false triggering and missed identification. In addition, the real-time adjustment of the compensation model ensures the stability of the system in complex environments and the response speed after long-term use, thereby greatly optimizing the overall performance of the vehicle exterior handle waterproof false triggering system.

[0094] Based on mutual capacitance increment and change slope, the S500 distinguishes between human touch and water interference by analyzing high-frequency and low-frequency signals.

[0095] Furthermore, the specific steps for the S500 are as follows:

[0096] S501 Analysis of Low-Frequency Mutual Capacitance Increment ΔC L (t), based on the characteristic that water and the human body will cause capacitance changes at low frequencies because their dielectric constants are higher than those of air, determine whether a high dielectric medium exists, when ΔC L When (t)≥C, where C is the threshold for significant low-frequency changes, it is determined that a high dielectric medium exists.

[0097] S502 uses high-frequency mutual capacitance increment ΔC H (t) and the slope of change k H (t) Analysis of high-frequency response differences: when ΔC H (t) is a positive value and falls within the preset high-frequency positive increment range of the human body [A1, A2], where A1 and A2 are positive thresholds based on human touch sample statistics, and k H If the absolute value of (t) is less than or equal to the human touch slope threshold K1, it is initially determined to be a human touch feature; when ΔC H (t) is a negative value and falls within the preset high-frequency negative increment range of water [B1, B2], where B1 and B2 are negative thresholds based on water interference sample statistics, and k H If the absolute value of (t) is greater than or equal to the water disturbance slope threshold K2, it is initially determined to be a water disturbance feature.

[0098] like Figure 4 As shown, by collecting several sets of human touch samples, the high-frequency mutual capacitance increment ΔC was statistically analyzed. H Given the distribution interval of (t), determine [A1, A2] (A1, A2 can be set to positive, 0, or negative values) and the slope threshold K1, when ΔC H (t) is in [A1,A2] and |ΔC HWhen (t)|≥15pF, the human touch detection logic is triggered;

[0099] Data modeling of scenarios such as high-volume rinsing from a faucet, water splashing, and car washing; at high frequencies, the ΔC value of water due to the skin effect. H (t) is usually negative, but the sample covers special scenarios (such as thin water film and electrode coupling deviation), so [B1,B2] (B1 and B2 can be set to positive, 0 or negative) and slope threshold K2 are determined.

[0100] Low-frequency threshold C: Based on the characteristic that the dielectric constants of water and the human body (ε_water≈80@1kHz, ε_human body≈40-50@1kHz) are much higher than those of air (ε_air≈1), the low-frequency mutual capacitance increment ΔC is set. L (t)≥50pF is used as the threshold for significant change;

[0101] S503 verifies the stability of the preliminary judgment result by continuously monitoring for Q sampling periods. If ΔC H (t) remains in the interval [A1,A2], k H (t) The absolute value is consistently less than or equal to K1, and ΔC L (t) Continuously conforms to the low-frequency characteristics of a high-dielectric dielectric: ΔC L If (t)≥C, then human touch is confirmed; continuously monitor for P sampling periods, if ΔC H (t) remains in the interval [B1, B2], k H (t) The absolute value is always greater than or equal to K2, and ΔC L If (t) is consistently greater than or equal to C, then water interference is confirmed;

[0102] S504 confirms human touch, and the high-frequency mutual capacitance increment ΔC H (t) is greater than 0 and greater than the first preset threshold, i.e., ΔC H When (t)≥A1, the unlock or lock command for the exterior handle is triggered; when water interference is confirmed, and the high-frequency mutual capacitance increment ΔC H (t) is less than 0 and less than the second preset threshold, i.e., ΔC H When (t)≤B2, no operation is triggered;

[0103] By accurately analyzing the increment and slope of low-frequency and high-frequency mutual capacitance signals, the system effectively distinguishes between human touch and water interference. These steps improve the system's adaptability to environmental changes, enhance its robustness and anti-interference capabilities, and ensure stability and accuracy in different environments. By continuously monitoring the stability of the signals, the system can reduce the probability of false recognition, optimize the real-time performance and accuracy of trigger judgment, and ultimately improve the user experience. This ensures that the operation of the vehicle's external handle is accurate during normal use, while effectively avoiding false triggering caused by water interference.

[0104] To better realize the method of waterproof false triggering of vehicle handle based on dual-frequency charging and discharging resonance, a waterproof false triggering system for vehicle handle based on dual-frequency charging and discharging resonance is also proposed. The system includes a capacitor detection electrode array layout module, a compensation parameter library establishment module, a mutual capacitance signal acquisition and preprocessing module, a mutual capacitance signal compensation and incremental calculation module, and a touch and water interference judgment module.

[0105] The capacitance detection electrode array layout module is used to arrange a rectangular electrode array made of copper foil in two rows and N columns inside the plastic shell of the vehicle handle. The electrodes are fixed by an adhesive process and the cavity is sealed with potting compound to form a capacitance sensor.

[0106] The compensation parameter library establishment module is used to collect the dielectric constant, structural thickness and electrode array layout parameters of the sensor shell, establish a compensation model of "dielectric properties-structural parameters-capacitance deviation", and store the deviation parameters to form a compensation parameter library;

[0107] The mutual capacitance signal acquisition and preprocessing module is used to acquire high-frequency and low-frequency mutual capacitance signals through an electrode array, and to perform median filtering and infinite impulse response filtering on the signals.

[0108] The mutual capacitance signal acquisition and preprocessing module includes a signal acquisition unit and a signal filtering unit;

[0109] The signal acquisition unit is used to alternately output high-frequency and low-frequency charging and discharging pulses through the electrode array, and to acquire the corresponding high-frequency mutual capacitance signal and low-frequency mutual capacitance signal in real time;

[0110] The signal filtering unit is used to perform median filtering and infinite impulse response filtering on the acquired mutual capacitance signal to remove noise and extract smooth signals;

[0111] The mutual capacitance signal compensation and increment calculation module is used to correct the preprocessed mutual capacitance signal based on the compensation parameter library, and to calculate the high-frequency and low-frequency mutual capacitance increments and their change slopes.

[0112] The touch and water interference determination module is used to determine human touch or water interference based on the high-frequency mutual capacitance increment and its slope, and accordingly trigger or suppress the unlocking and locking operations of the vehicle's exterior handles.

[0113] The touch and water interference determination module includes a low-frequency signal analysis unit and a high-frequency signal determination unit;

[0114] The low-frequency signal analysis unit is used to analyze low-frequency mutual capacitance increments and determine whether they conform to the response characteristics of high dielectric constant media.

[0115] The high-frequency signal determination unit is used to distinguish between human touch and water interference based on the high-frequency mutual capacitance increment and its stability, and outputs the final determination result.

[0116] Example: An FR4 circuit board is used as the substrate. Rectangular electrodes made of copper foil are arranged in 2 rows and N columns (N=3, determined based on the handle length of approximately 60mm and the shell thickness of 2mm) on the substrate. The orange electrode is the emitter (TX) and the green electrode is the receiver (RX). Electrodes on the same side of adjacent columns are alternately connected to form TX / RX pairs (e.g., the TX in the first column corresponds to the RX in the second column, and the TX in the second column corresponds to the RX in the third column), completely covering the inner area of ​​the vehicle's exterior handle. The FR4 substrate is fixed to the inner side of the plastic shell of the vehicle's exterior handle using an adhesive bonding process. The cavity between the substrate and the shell is filled with potting compound, which not only stabilizes the electrode position but also reduces the interference of the external environment on the electric field.

[0117] Reference value acquisition: Under the initial state free from interference from people, water, metal, etc., charge and discharge pulses are alternately emitted to the electrode array at a high frequency fH (e.g., 1MHz) and a low frequency fL (e.g., 50kHz). After continuously acquiring 50 sets (effective sample size M) of mutual capacitance signals, the average value is taken to obtain the high-frequency reference value CH. base =180pF, Low-frequency reference value CL base =250pF;

[0118] For the outer shell thickness d, samples of 1.8 mm, 2.0 mm (reference thickness d0), and 2.2 mm were prepared, and the high-frequency deviation ΔC was measured. H (d) Low-frequency deviation ΔC for +4pF, 0, and -3pF respectively. L (d) are +6pF, 0, and -5pF, respectively;

[0119] Simulate the fluctuation of dielectric constant ε caused by temperature change, and measure the high-frequency deviation ΔC under different ε values. H (ε) ranges from -2pF to +2pF, with low-frequency deviation ΔC L (ε) ranges from -4pF to +3pF;

[0120] Adjust the electrode layout parameter P (e.g., adjacent spacing 2mm → 3mm → 4mm), and measure the high-frequency deviation ΔC. H (P) is +5pF, 0, -4pF, and the low-frequency deviation ΔC L (P) is +7pF, 0, -6pF;

[0121] By integrating the above-mentioned correlations between deviations and parameters, a compensation model in the form of a mapping table is formed and stored as a compensation parameter library;

[0122] Using the self-capacitive channel of the electrode array, the change in the capacitance of the electrode itself is monitored at a period of 20ms. When the detected signal change exceeds the threshold (e.g., 5pF, because the self-capacitive "has strong divergence ability and can identify the approach action"), the sensor is triggered to switch from low power mode to fast scanning mode (sampling period of 10ms).

[0123] In fast mode, high-frequency and low-frequency charging and discharging pulses are output alternately. An alternating electric field is formed by TX transmission and RX reception. When a human body or water enters the electric field region, the mutual capacitance signal changes, and high-frequency and low-frequency signals are collected synchronously (e.g., when a human body approaches, the initial high-frequency value is 190pF and the low-frequency value is 260pF; when a water droplet approaches, the high-frequency value is 170pF and the low-frequency value is 255pF).

[0124] First, median filtering is used to remove transient noise (such as outliers caused by electromagnetic interference), and then infinite impulse response filtering is used to smooth the signal. After processing, the high-frequency signal of the human body is 189pF and the low-frequency signal is 259pF; the high-frequency signal of the water droplet is 169pF and the low-frequency signal is 254pF.

[0125] The compensation parameter library is invoked, and combined with the current shell thickness of 2.0mm and the dielectric constant reference value, the filtered signal is corrected (if there is no deviation, it is directly used) to obtain the corrected high-frequency signal C. H (t) and low-frequency signal C L (t) (e.g., human body scene C) H (t) = 189pF, C L (t) = 259pF; Water droplet scenario C H (t)=169pFC L (t) = 254pF);

[0126] Increment and slope calculation:

[0127] High-frequency increment ΔC H (t)=C H (t)-C Hbase Low-frequency increment ΔC L (t)=C L (t)-C Lbase (Human body: ΔC) H =+9pF, ΔC L =+9pF; Water droplet: ΔC H =-11pF, ΔC L =+4pF);

[0128] slope k H (t), k L (t) is calculated according to the formula (Δt=10ms), human body k H ≈0.3pF / ms (smooth), water droplet k H ≈2.1pF / ms (intense);

[0129] Threshold setting: Based on the difference in dielectric properties between the human body and water, and combined with the principle of sample statistics, the high-frequency range for the human body is set as [A1,A2]=[12pF,25pF], with a slope K1=0.5pF / ms; the high-frequency range for water interference is set as [B1,B2]=[-18pF,-6pF], with a slope K2=2pF / ms; the low-frequency threshold C=40pF (because the low-frequency dielectric constants of both water and the human body are much higher than those of air).

[0130] Judgment process:

[0131] Human body ΔC L Increase to +50pF ≥ 40pF, water droplet ΔC L When the dielectric strength increases to +45pF or ≥40pF, a high dielectric dielectric is determined to be present.

[0132] Human body ΔC H =+15pF∈[12,25],k H =0.4pF / ms≤0.5, preliminary judgment of human body; water droplet ΔC H =-15pF∈[-18,-6],k H =2.2pF / ms≥2, preliminarily determined to be water interference;

[0133] Continuous monitoring of Q = 5 cycles (50ms) shows that the human body signal consistently matches the characteristics, confirming human touch; continuous monitoring of P = 3 cycles (30ms) shows that the water droplet signal consistently matches the characteristics, confirming water interference.

[0134] ΔC when touched by human body H =15pF≥12pF, trigger unlocking; ΔC during water interference H =-15pF≤-6pF, no operation is triggered.

[0135] It will be apparent to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the invention can be implemented in other specific forms without departing from its spirit or essential characteristics. Therefore, the embodiments should be considered in all respects as exemplary and non-limiting, and the scope of the invention is defined by the appended claims rather than the foregoing description. Thus, all variations falling within the meaning and scope of equivalents of the claims are intended to be included within the present invention. No reference numerals in the claims should be construed as limiting the scope of the claims.

Claims

1. A method for preventing accidental triggering of waterproof vehicle exterior handles based on dual-frequency charge-discharge resonance, characterized in that: The method includes the following steps: The S100 arranges an electrode array composed of capacitance detection electrodes on the inside of the vehicle's exterior handlebar to form an exterior handlebar capacitance sensor. In an interference-free environment, the S200 collects high-frequency and low-frequency mutual capacitance reference values ​​and establishes a compensation parameter library by associating them with the parameters of the vehicle's external handle shell. The specific steps of S200 are as follows: In the initial state where the capacitive sensor for the vehicle's external handlebars is assembled but not yet installed, and the handlebars are in an environment free of interference, the S201 uses a dual-frequency detection method. In high-frequency mode, it emits high-frequency charging and discharging pulses at a preset high-frequency frequency fH to the electrode array. This utilizes the mutual capacitance structure formed by the emitter and receiver in the electrode array to generate a change in the mutual capacitance signal. The mutual capacitance signal is continuously acquired, with the number of samplings reaching the effective sample size M. After acquisition, the average value of the acquired mutual capacitance signal is calculated using a mean value calculation method, and the obtained mean value is used as the high-frequency mutual capacitance value and the high-frequency reference value C. Hbase In low-frequency mode, using a preset low-frequency frequency fL, the transmission, acquisition, and averaging processes from high-frequency mode are reused to obtain the low-frequency mutual capacitance value as the low-frequency reference value C. Lbase ; S202 collected the dielectric constant ε, structural thickness d, and electrode array layout parameters P of the outer handle capacitive sensor housing material. Several housing samples of varying thicknesses were prepared, and the high-frequency mutual capacitance C was collected for each thickness condition. H (d) and low-frequency mutual capacitance value C L (d), and with reference thickness d0 corresponding to the mutual compatibility value C H (d0), C L Using (d0) as the reference, calculate the high-frequency mutual capacitance deviation ΔC. H (d) and low-frequency mutual capacitance deviation ΔC L (d), the calculation formulas are as follows: ； By simulating temperature changes, the high-frequency mutual capacitance value and low-frequency mutual capacitance value C under different dielectric constants ε were measured. H (ε) and C L (ε), and with reference dielectric constant ε0 corresponding to mutual capacitance value C. H (ε0), C L Using (ε0) as a reference, calculate the mutual capacitance deviation ΔC caused by the change in dielectric constant. H (ε) and ΔC L (ε), its calculation formula is: ； Adjust the electrode array layout parameter P, and measure the corresponding high-frequency mutual capacitance value and low-frequency mutual capacitance value C. H (P), C L (P), and based on the high-frequency mutual capacitance value and low-frequency mutual capacitance value C corresponding to the baseline layout parameter P0. H (P0) and C L Using (P0) as a reference, calculate the mutual capacitance deviation ΔC. H (P) and ΔC L (P), its calculation formula is: ； The correlation between dielectric constant ε, structural thickness d, electrode array layout parameter P and mutual capacitance deviation is integrated to establish a "dielectric property-structural parameter-capacitance deviation" compensation model, which is expressed in the form of a mapping table. The compensation model and the set of deviation parameters are stored in the compensation database to form a compensation parameter library. The S300 uses the self-capacitive channel of the electrode array to detect proximity signals, collect high and low frequency mutual capacitance signals, and preprocess the high and low frequency mutual capacitance signals. S400 calls the compensation parameter library to correct the preprocessed high and low frequency mutual capacitance signals and calculates the mutual capacitance increment and change slope of the high and low frequency mutual capacitance signals. Based on mutual capacitance increments and change slopes, the S500 distinguishes between human touch and water interference by analyzing high-frequency and low-frequency signals.

2. The method for waterproofing accidental triggering of vehicle exterior handles based on dual-frequency charge-discharge resonance according to claim 1, characterized in that: In S100: The electrodes in the electrode array are rectangular in shape and arranged in two rows and N columns on the substrate, where N is an integer ≥2. In two adjacent columns of electrodes, the two electrodes on the same side are connected to form an emitter and a receiver, respectively, and the emitter and receiver are alternately distributed to cover the area of ​​the vehicle handle. The substrate with the electrode array is fixed to the inside of the plastic shell of the vehicle handle by an adhesive bonding process, and the cavity between the substrate and the plastic shell is filled with potting compound. The capacitive sensor consists of a handle cover, a capacitive switch, and a handle base on the outside of the handle. The capacitive switch is embedded in the handle base, and the handle cover covers the outside to form the handle body. The capacitive switch consists of a wiring harness, a silicone plug, a printed circuit board assembly, and a housing on the circuit side. The capacitive switch is connected to the printed circuit board assembly encapsulated inside the housing via the wiring harness, and the gap where the wiring harness enters the housing is sealed with a silicone plug.

3. The method for waterproofing accidental triggering of vehicle exterior handles based on dual-frequency charge-discharge resonance according to claim 1, characterized in that: The specific steps of S300 are as follows: S301 uses the self-capacitive channel of the electrode array to apply a weak electrical signal to the electrode and periodically monitors the change in the capacitance value of the electrode itself. When the signal change detected by the self-capacitive channel exceeds the preset threshold, the signal change exceeding the preset threshold is used as a trigger condition to switch the external handle capacitance sensor from low power mode to fast scanning mode. After the S302 enters the fast scan mode, the external handle capacitive sensor alternately outputs high-frequency and low-frequency charging and discharging pulses. These pulses are emitted into the surrounding space through the transmitter in the electrode array, forming an alternating electric field between the transmitter and receiver. When an external medium enters the area of ​​the electric field, the mutual capacitance signal between the transmitter and receiver changes. Through the signal sampling circuit, the corresponding high-frequency mutual capacitance signal and low-frequency mutual capacitance signal are collected in real time in sync with the pulse output. The S304 uses median filtering to process the acquired high-frequency and low-frequency mutual capacitance signals, and employs an infinite impulse response filtering algorithm to smooth the mutual capacitance signals that have undergone preliminary median filtering.

4. The method for waterproofing accidental triggering of vehicle exterior handles based on dual-frequency charge-discharge resonance according to claim 3, characterized in that: The specific steps of S400 are as follows: S401 matches the high-frequency and low-frequency mutual capacitance signals, which have undergone median filtering and infinite impulse response filtering algorithms, with the corresponding deviation data in the compensation parameter library. Then, it corrects the filtered high-frequency and low-frequency mutual capacitance signals according to the "dielectric properties-structural parameters-capacitance deviation" compensation model, obtaining the corrected high-frequency mutual capacitance signal C. H (t) and low-frequency mutual capacitance signal C L (t); S402 is based on the compensated and corrected high-frequency mutual capacitance signal C. H (t) and low-frequency mutual capacitance signal C L (t), combined with the high-frequency mutual capacitance reference value C Hbase and low-frequency mutual capacitance reference value C Lbase Calculate the high-frequency mutual capacitance increment ΔC respectively. H (t) and low-frequency mutual capacitance increment ΔC L (t), its calculation formula is: ； Simultaneously calculate the high-frequency mutual capacitance signal C. H (t) and low-frequency mutual capacitance signal C L The slope of the change in (t) k H (t) and k L (t), the calculation formula is: ， Where Δt represents the time interval between adjacent sampling times, and t-Δt represents the sampling time preceding the current time t.

5. The method for waterproofing accidental triggering of vehicle exterior handles based on dual-frequency charge-discharge resonance according to claim 4, characterized in that: The specific steps of S500 are as follows: S501 Analysis of Low-Frequency Mutual Capacitance Increment ΔC L (t), based on the characteristic that water and the human body will cause significant capacitance changes at low frequencies because their dielectric constants are higher than those of air, determine whether a high dielectric medium exists, when ΔC L When (t)≥C, where C is the threshold for significant low-frequency changes, it is determined that a high dielectric medium exists. S502 uses high-frequency mutual capacitance increment ΔC H (t) and the slope of change k H (t) Analysis of high-frequency response differences: when ΔC H (t) is a positive value and falls within the preset high-frequency positive increment range of the human body [A1, A2], where A1 and A2 are positive thresholds based on human touch sample statistics, and k H If the absolute value of (t) is less than or equal to the human touch slope threshold K1, it is initially determined to be a human touch feature; when ΔC H (t) is a negative value and falls within the preset negative increment range of high-frequency water [B1, B2], where B1 and B2 are negative thresholds based on water interference sample statistics, and k H If the absolute value of (t) is greater than or equal to the water disturbance slope threshold K2, it is initially determined to be a water disturbance feature. S503 verifies the stability of the preliminary judgment result by continuously monitoring for Q sampling periods. If ΔC H (t) remains in the interval [A1,A2], k H (t) The absolute value is consistently less than or equal to K1, and ΔC L (t) Continuously conforms to the low-frequency characteristics of a high-dielectric dielectric: ΔC L If (t)≥C, then human touch is confirmed; If ΔC is continuously monitored for P sampling periods, H (t) remains in the interval [B1, B2], k H (t) The absolute value is always greater than or equal to K2, and ΔC L If (t) is consistently greater than or equal to C, then water interference is confirmed; S504 confirms human touch, and the high-frequency mutual capacitance increment ΔC H (t) is greater than 0 and greater than the first preset threshold, i.e., ΔC H When (t)≥A1, the unlock or lock command for the exterior handle is triggered; when water interference is confirmed, and the high-frequency mutual capacitance increment ΔC H (t) is less than 0 and less than the second preset threshold, i.e., ΔC H When (t)≤B2, no operation is triggered.

6. A vehicle exterior handle waterproofing false triggering system based on dual-frequency charge-discharge resonance, applied to the vehicle exterior handle waterproofing false triggering method based on dual-frequency charge-discharge resonance as described in any one of claims 1-5, characterized in that: The system includes a capacitance detection electrode array layout module, a compensation parameter library establishment module, a mutual capacitance signal acquisition and preprocessing module, a mutual capacitance signal compensation and incremental calculation module, and a touch and water interference determination module. The capacitance detection electrode array layout module is used to arrange a rectangular electrode array of copper foil material in two rows and N columns inside the plastic shell of the vehicle handle. The electrodes are fixed by an adhesive process and the cavity is sealed with potting glue to form a capacitance sensor. The compensation parameter library establishment module is used to collect the dielectric constant, structural thickness and electrode array layout parameters of the sensor shell, establish a "dielectric properties-structural parameters-capacitance deviation" compensation model, and store the deviation parameters to form a compensation parameter library; The mutual capacitance signal acquisition and preprocessing module is used to acquire high-frequency and low-frequency mutual capacitance signals through the electrode array, and to perform median filtering and infinite impulse response filtering on the signals. The mutual capacitance signal compensation and increment calculation module is used to correct the preprocessed mutual capacitance signal based on the compensation parameter library, and to calculate the high-frequency and low-frequency mutual capacitance increments and their change slopes. The touch and water interference determination module is used to determine human touch or water interference based on the high-frequency mutual capacitance increment and its slope, and accordingly trigger or suppress the unlocking and locking operations of the vehicle's exterior handle.

7. The waterproof accidental triggering system for vehicle exterior handles based on dual-frequency charge-discharge resonance according to claim 6, characterized in that: The mutual capacitance signal acquisition and preprocessing module includes a signal acquisition unit and a signal filtering unit; The signal acquisition unit is used to alternately output high-frequency and low-frequency charging and discharging pulses through the electrode array, and to acquire the corresponding high-frequency mutual capacitance signal and low-frequency mutual capacitance signal in real time. The signal filtering unit is used to perform median filtering and infinite impulse response filtering on the acquired mutual capacitance signal to remove noise and extract a smooth signal.

8. The waterproof accidental triggering system for vehicle exterior handles based on dual-frequency charge-discharge resonance according to claim 6, characterized in that: The touch and water interference determination module includes a low-frequency signal analysis unit and a high-frequency signal determination unit. The low-frequency signal analysis unit is used to analyze the low-frequency mutual capacitance increment and determine whether it conforms to the response characteristics of a high dielectric constant medium. The high-frequency signal determination unit is used to distinguish between human touch and water interference based on the high-frequency mutual capacitance increment and its stability, and output the final determination result.

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