High-voltage interlocking detection method and system of new energy automobile and storage medium

Abstract

The invention provides a high-voltage interlocking detection method and system for a new energy automobile and a storage medium, and relates to the technical field of new energy automobiles, and the method comprises the steps: carrying out the initial configuration of the parameters of a PWM signal; driving environment parameters of the new energy automobile are obtained; dynamically adjusting the initially configured PWM signal based on the driving environment parameters to correct the parameters of the PWM signal; inputting the adjusted PWM signal into a high-voltage loop of the new energy automobile; acquiring a sampling signal generated by the high-voltage loop based on the adjusted PWM signal; and identifying whether the new energy vehicle has a high-voltage interlocking fault based on the comparison of the adjusted PWM signal and the sampling signal. According to the method, on the basis that the hardware design of an existing controller is not changed and the cost is not increased, the adaptive capacity and the anti-interference capacity of the high-voltage interlocking detection method to complex working conditions are improved by additionally arranging the dynamic adjustment logic of PWM signals.

Description

Technical Field

[0001] This disclosure pertains to the field of new energy vehicle technology, specifically relating to a high-voltage interlock detection method, system, and storage medium for new energy vehicles. Background Technology

[0002] High-voltage interlock detection technology is a safety detection technology used in new energy vehicles to detect the integrity and continuity of high-voltage circuits using low-voltage signals. This technology detects all components connected to the high-voltage circuit, identifies faults such as open circuits, and promptly cuts off high-voltage power to ensure vehicle safety.

[0003] The development of high-voltage interlock detection technology has mainly gone through two stages. The first stage adopted a DC detection scheme, which has drawbacks such as limited diagnostic modes and poor anti-interference capabilities. The second stage adopted a PWM signal detection scheme based on a fixed-period duty cycle, which improved the reliability and anti-interference capabilities of high-voltage interlock detection.

[0004] Among related technologies, the PWM signal detection scheme based on fixed period duty cycle still has the following defects: First, the adaptive capability is limited, and changes in ambient temperature and humidity will have a significant impact on the detection accuracy, lacking a dynamic adjustment mechanism for PWM; Second, the anti-interference capability is poor, and the complex electromagnetic environment on new energy vehicles makes this scheme prone to false alarms in strong interference environments. Summary of the Invention

[0005] This disclosure provides a high-voltage interlock detection method, system, and storage medium for new energy vehicles, aiming to at least partially solve the technical problems of poor environmental adaptability and anti-interference capability of related technologies.

[0006] At least one embodiment of this disclosure provides a high-voltage interlock detection method for new energy vehicles, including: The parameters of the PWM signal are initialized and configured, including frequency, duty cycle and task period; Obtain driving environment parameters for new energy vehicles; The PWM signal after initial configuration is dynamically adjusted based on the driving environment parameters to correct its parameters; The adjusted PWM signal is input into the high-voltage circuit of the new energy vehicle; Obtain the sampling signal generated by the high-voltage circuit based on the adjusted PWM signal; and, The system identifies whether the new energy vehicle has a high-voltage interlock fault by comparing the adjusted PWM signal with the sampled signal.

[0007] The above solution offers the following technical advantages: It proposes a high-voltage interlock detection method based on dynamic PWM signals. Without altering the existing controller hardware design or increasing costs, it adds dynamic adjustment logic to the PWM signal. Based on real-time changes in driving environment parameters, it dynamically and adaptively optimizes parameters such as the frequency, duty cycle, and task cycle of the PWM signal, thereby achieving dynamic high-voltage interlock detection and ensuring its stability. The solution outputs the dynamically optimized PWM signal to the high-voltage circuit, allowing for real-time optimization and adjustment of the high-voltage interlock detection strategy according to the current driving environment of the new energy vehicle, effectively improving the anti-interference performance and vehicle operational stability. This solution is adaptable to diverse environmental conditions, enhancing the anti-interference capability of high-voltage interlock detection technology and significantly improving the adaptability of new energy vehicles to complex operating conditions.

[0008] The method provided in at least one embodiment of this disclosure further includes: Upon receiving the power-on self-test command, a control command is generated to initialize and configure the parameters of the PWM signal, thereby initiating the high-voltage interlock detection of the new energy vehicle.

[0009] The above solution has the following technical effects: after receiving the power-on self-test command from the high-voltage circuit, the system will immediately trigger the high-voltage interlock detection to ensure the operational stability of new energy vehicles.

[0010] In at least one embodiment of the method provided in this disclosure, the driving environment parameters include the high-voltage circuit temperature, and the step of dynamically adjusting the PWM signal after initialization configuration based on the driving environment parameters includes: In response to the high-voltage circuit temperature exceeding a preset first temperature threshold, the frequency of the PWM signal is reduced; and, In response to the high-voltage circuit temperature being lower than a preset second temperature threshold, the duty cycle of the PWM signal is increased; Wherein, the first temperature threshold is greater than the second temperature threshold.

[0011] The above solution has the following technical effects: When the high-voltage circuit is detected to be at a high temperature, the frequency of the PWM signal is reduced to decrease the switching losses of the power devices. When the high-voltage circuit is detected to be at a low temperature, the duty cycle of the PWM signal is increased to compensate for the signal attenuation caused by the increased line impedance due to the low temperature.

[0012] In at least one embodiment of the method provided in this disclosure, the driving environment parameters include the humidity between high-voltage circuit devices, and the dynamic adjustment of the PWM signal after initialization configuration based on the driving environment parameters includes: In response to the humidity threshold between the high-voltage circuit devices, this method can achieve the self-adaptation of high-voltage interlock detection technology under different environmental conditions, and improve the anti-interference capability of high-voltage interlock detection technology. When the humidity threshold exceeds the preset value, an intermittent signal enhancement strategy is activated. The intermittent signal enhancement strategy is configured to send a specific pulse with an amplitude exceeding a set value through the PWM signal every N PWM cycles, so that the insulation leakage current in the new energy vehicle returns to the preset safe range, where N is a positive integer.

[0013] The above solution has the following technical effects: when the humidity between high-voltage circuit components exceeds the limit, an intermittent signal enhancement method is implemented, and a high-amplitude pulse is sent every N PWM cycles to overcome the possible influence of insulation leakage current.

[0014] In at least one embodiment of the method provided in this disclosure, the driving environment parameters include electromagnetic interference intensity, and the step of dynamically adjusting the PWM signal after initialization configuration based on the driving environment parameters includes: The current interference level is determined based on the electromagnetic interference intensity; and, The frequency and duty cycle of the PWM signal are adjusted based on the interference level.

[0015] The above solution has the following technical effects: when strong electromagnetic interference is detected in environments such as charging stations, the frequency and duty cycle of the PWM signal are automatically adjusted to improve the anti-interference capability of the sampling signal.

[0016] In at least one embodiment of the method provided in this disclosure, the interference level includes a first level, a second level, and a third level where the interference intensity increases sequentially, and adjusting the frequency and duty cycle of the PWM signal based on the interference level includes: In response to the interference level being Level 1, the frequency of the PWM signal is controlled to maintain the reference frequency, and the duty cycle of the PWM signal is controlled to be constant at 50%. In response to the interference level being level two, the frequency of the PWM signal is increased to a first frequency different from the reference frequency, and the duty cycle of the PWM signal is controlled to fluctuate sinusoidally; and, In response to the interference level being level three, the frequency of the PWM signal is increased to a second frequency different from the reference frequency and the first frequency, and the duty cycle of the PWM signal is controlled to fluctuate according to a sine law. The reference frequency, the first frequency, and the second frequency increase sequentially.

[0017] The above scheme has the following technical effects: when the duty cycle changes according to a sinusoidal law, the spectrum of the PWM signal will concentrate towards the reference frequency, significantly reducing the amplitude of higher harmonics and reducing the harmonic spectrum width, thus achieving a balance between anti-interference capability and signal reliability.

[0018] In at least one embodiment of the method provided in this disclosure, the step of identifying whether a high-voltage interlock fault exists in the new energy vehicle based on the comparison between the adjusted PWM signal and the sampled signal includes: The adjusted PWM signal is compared with the sampled signal to obtain the parameter deviation between the adjusted PWM signal and the sampled signal; and, In response to the parameter deviation exceeding the preset error range for several consecutive PWM cycles, it is determined that the new energy vehicle has a high-voltage interlock fault, where M is a positive integer greater than or equal to 2.

[0019] The above solution has the following technical effects: by monitoring the deviation for M consecutive cycles, misjudgments caused by instantaneous interference can be effectively avoided, the accuracy and reliability of fault detection can be improved, and the safety of the high-voltage system of new energy vehicles can be ensured.

[0020] In at least one embodiment of the method provided in this disclosure, when dynamically adjusting the parameters of the PWM signal after initialization configuration, the parameters of the PWM signal are adjusted sequentially according to a preset priority order of driving environment parameters, wherein the priority order of the driving environment parameters is configured such that the priority of high-voltage circuit temperature, humidity between high-voltage circuit devices, and electromagnetic interference intensity decreases sequentially; and the method further includes: Obtain the operating parameters of the new energy vehicle; When the new energy vehicle is identified to be under a sudden load change condition based on the aforementioned operating parameters, the frequency of the adjusted PWM signal is increased; and... When the new energy vehicle is identified as being in charging mode based on the operating parameters, the adjusted PWM signal is set to a fixed frequency and a fixed duty cycle.

[0021] The above solution has the following technical effects: it can adjust the high-voltage interlock detection method in real time according to the vehicle's operating environment and working conditions, improve the anti-interference ability of the detection and the stability of vehicle operation, and enhance the adaptability of new energy vehicles to complex working conditions.

[0022] At least one embodiment of this disclosure also provides a high-voltage interlock detection system for new energy vehicles, including: The acquisition unit is configured to acquire various current state parameters of the transmission. The preprocessing unit is configured to initialize the parameters of the PWM signal, including frequency, duty cycle, and task period. The first acquisition unit is configured to acquire driving environment parameters of new energy vehicles; The PWM signal adaptive unit is configured to dynamically adjust the PWM signal after initialization based on the driving environment parameters, so as to correct its parameters, and input the adjusted PWM signal into the high-voltage circuit of the new energy vehicle. The second acquisition unit is configured to acquire the sampling signal generated by the high-voltage circuit based on the adjusted PWM signal; The fault detection unit is configured to identify whether the new energy vehicle has a high-voltage interlock fault based on the comparison between the adjusted PWM signal and the sampled signal.

[0023] At least one embodiment of this disclosure also provides a storage medium storing a program or instructions, wherein the program or instructions, when executed by a processor, implement the steps of the method provided in any embodiment of this disclosure.

[0024] It should be understood that the above general description and the following detailed description are exemplary and explanatory only, and are not intended to limit this disclosure. Attached Figure Description

[0025] To more clearly illustrate the technical solutions in the embodiments of this disclosure, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of this disclosure. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0026] Figure 1 A flowchart of a high-voltage interlock detection method for new energy vehicles provided in at least one embodiment of this disclosure; Figure 2 A high-voltage interlock detection circuit architecture diagram for a new energy vehicle provided in at least one embodiment of this disclosure; Figure 3 A flowchart illustrating a temperature-based PWM signal adjustment scheme provided for at least one embodiment of this disclosure; Figure 4 A flowchart illustrating a humidity-based PWM signal adjustment scheme provided for at least one embodiment of this disclosure; Figure 5 A flowchart illustrating a PWM signal adjustment scheme based on electromagnetic interference provided for at least one embodiment of this disclosure; Figure 6 A flowchart of a fault diagnosis scheme provided in at least one embodiment of this disclosure; Figure 7 Example flowchart of a high-voltage interlock detection method for new energy vehicles provided for at least one embodiment of this disclosure; Figure 8 A structural block diagram of a high-voltage interlock detection system for new energy vehicles provided in at least one embodiment of this disclosure; Figure 9 A schematic diagram illustrating the composition of a program product provided for at least one embodiment of this disclosure.

[0027] Figure label: 1- First high-voltage component; 2- Second high-voltage component; 3- Third high-voltage component; 4- Fourth high-voltage component; 5- Battery management system; 10- High-voltage interlock detection system for new energy vehicles; 11- Preprocessing unit; 12- First acquisition unit; 13- PWM signal adaptive unit; 14- Second acquisition unit; 15- Fault detection unit; 21- Processor; 22- Memory; 23- Input device; 24- Output device; HVIL+- Adjusted PWM signal; HVIL— - Sampling signal. Detailed Implementation

[0028] The present disclosure will now be described in further detail with reference to the accompanying drawings and embodiments. It should be particularly noted that the following embodiments are for illustrative purposes only and do not limit the scope of the disclosure. Similarly, the following embodiments are only some, not all, embodiments of the present disclosure, and all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this disclosure.

[0029] The terms "first," "second," and "third" used in the embodiments of this disclosure are for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of indicated technical features. Therefore, a feature defined as "first," "second," and "third" may explicitly or implicitly include at least one of that feature.

[0030] In the description of this disclosure, "multiple" means at least two, such as two or three, unless otherwise expressly and specifically limited.

[0031] In this disclosure, the terms "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., refer to a specific feature, structure, material, or characteristic described in connection with that embodiment or example, which is included in at least one embodiment or example of this disclosure. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples. Moreover, without contradiction, those skilled in the art can combine and integrate the different embodiments or examples described in this specification, as well as the features of different embodiments or examples.

[0032] The terms “comprising” and “having”, and any variations thereof, used in this disclosure are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or device that includes a series of steps or units is not limited to the steps or units listed, but may optionally include steps or units not listed, or may optionally include other steps or components inherent to such processes, methods, products, or devices.

[0033] The term "battery management system" in this disclosure is abbreviated as BMS.

[0034] The term "pulse width modulation" in the embodiments of this disclosure is abbreviated as PWM.

[0035] The term "high voltage interlock detection method" in this disclosure, abbreviated as HVIL detection method, refers to a safety detection method that uses a low-voltage PWM signal to detect the integrity and continuity of a vehicle's high-voltage circuit.

[0036] Figure 1 This document presents a flowchart illustrating a high-voltage interlock detection method for new energy vehicles, provided in at least one embodiment of this disclosure. This method can be applied to the controllers of new energy vehicles, including but not limited to battery management systems (BMS). Figure 1 As shown, the method may include the following steps S10-S60.

[0037] Step S10: Initialize and configure the parameters of the PWM signal, including frequency, duty cycle and task period.

[0038] Step S20: Obtain the driving environment parameters of the new energy vehicle.

[0039] Step S30: Dynamically adjust the PWM signal after initial configuration based on driving environment parameters to correct its parameters.

[0040] Step S40: Input the adjusted PWM signal into the high-voltage circuit of the new energy vehicle.

[0041] Step S50: Obtain the sampling signal generated by the high-voltage circuit based on the adjusted PWM signal.

[0042] Step S60: Identify whether the new energy vehicle has a high-voltage interlock fault based on the comparison between the adjusted PWM signal and the sampled signal.

[0043] It should be noted that in the above scheme, the adjusted PWM signal serves as the detection signal for the high-voltage circuit of the new energy vehicle. The core of the above scheme lies in the dynamic adaptive adjustment of the PWM signal involved in steps S20-S30. The frequency, duty cycle, task period, and other parameters, such as amplitude, of the PWM signal are optimized in real time through an adaptive method to adapt to different environmental conditions and system states.

[0044] During implementation, waveforms of the high-voltage interlock pins of the controller can be acquired using PWM signal acquisition devices such as oscilloscopes. When the vehicle travels to different environments, the waveforms of the acquired sampling signals can be observed to change with the different driving environment parameters.

[0045] The high-voltage interlock detection circuit for new energy vehicles involved in the above scheme is as follows: Figure 2 As shown, the high-voltage circuit of a new energy vehicle is equipped with multiple high-voltage components connected in series. Each component may include multiple different devices, such as... Figure 2 As shown, the high-voltage circuit includes a first high-voltage component 1, a second high-voltage component 2, a third high-voltage component 3, and a fourth high-voltage component 4 connected in series. The PWM signal adaptive unit in the battery management system 5 inputs the adjusted PWM signal HVIL+ into the high-voltage circuit and obtains the sampling signal HVIL- at the end of the high-voltage circuit as the input signal of the fault detection unit to realize steps S10-S60.

[0046] In the above scheme, the initialization configuration in step S10 includes setting the frequency, duty cycle, and task period of the PWM signal to their respective reference values. This disclosure does not limit the initialization configuration scheme in step S10. In practical applications, the reference values ​​for frequency, duty cycle, and task period can be flexibly set according to the vehicle model parameters, the load characteristics of the high-voltage circuit, and the safety requirements under different operating conditions. The reference value for the duty cycle can be matched based on the rated operating voltage of the high-voltage circuit to ensure the power supply stability of the high-voltage components in the initial state; the reference value for the task period needs to be set in conjunction with the computing power of the vehicle controller to avoid excessive processor load due to a too short period, or affecting the real-time performance of fault detection due to a too long period.

[0047] When the system executes step S10, it can select a suitable initialization configuration scheme according to different vehicle models, high-voltage circuits, and safety requirements under different operating conditions.

[0048] In the above scheme, this disclosure does not limit the type of driving environment parameters in step S20 or the method of obtaining them. In practical application scenarios, driving environment parameters can cover various types such as temperature, humidity, and electromagnetic interference intensity. These parameters can be detected in real time by relevant sensor signal acquisition units. Specifically, the high-voltage circuit temperature can be acquired in real time by a temperature sensor installed near the high-voltage circuit to monitor the impact of the high-voltage circuit temperature on the insulation performance of the high-voltage components; the humidity between high-voltage circuit components can be obtained using an on-board humidity sensor to avoid the risk of leakage in high-humidity environments; and the electromagnetic interference intensity can be quantitatively analyzed by a dedicated electromagnetic compatibility detection module to prevent strong electromagnetic environments from interfering with PWM signal transmission and sampling accuracy.

[0049] When the system executes step S20, it can select the appropriate type of driving environment parameters and their acquisition scheme according to different driving scenarios.

[0050] In the above scheme, this disclosure does not limit the dynamic adjustment scheme of the PWM signal in step S30. In practical application scenarios, in addition to the scheme described in the following embodiments, adaptive adjustment can also be made in combination with the real-time load current and voltage fluctuation of the high-voltage circuit. For example, when the load current suddenly increases, the system can automatically increase the carrier frequency of the PWM signal to enhance the anti-interference capability of the signal and ensure the response speed of the high-voltage interlock circuit; while under stable operating conditions with small voltage fluctuations, the carrier frequency can be appropriately reduced to reduce unnecessary power consumption. In addition, machine learning algorithms can be introduced to establish PWM signal parameter optimization models under different operating conditions through the analysis of historical fault data, realize the autonomous evolution of the dynamic adjustment strategy, and further improve the accuracy and reliability of high-voltage interlock detection.

[0051] When executing step S30, the system can select a suitable dynamic adjustment scheme for the PWM signal according to different driving scenarios. The PWM signal output to the high-voltage circuit is dynamically adjusted based on changes in driving environment parameters detected in real time by relevant sensor signal acquisition units.

[0052] Through steps S10-S60, a high-voltage interlock detection method based on dynamic PWM signals is proposed. Without altering the existing controller hardware design or increasing costs, this method adds dynamic adjustment logic to the PWM signal. Based on real-time changes in driving environment parameters, it dynamically and adaptively optimizes parameters such as the frequency, duty cycle, and task cycle of the PWM signal, thereby achieving dynamic high-voltage interlock detection and ensuring its stability. The scheme outputs the dynamically and adaptively optimized PWM signal to the high-voltage circuit. It can optimize and adjust the high-voltage interlock detection strategy in real time according to the current driving environment of the new energy vehicle, effectively improving the anti-interference performance and vehicle operational stability of the detection process. This scheme can adapt to diverse environmental conditions, enhance the anti-interference capability of high-voltage interlock detection technology, and thus significantly improve the adaptability of new energy vehicles to complex operating conditions.

[0053] Some embodiments of this disclosure also provide systems, storage media, and program products corresponding to the methods described above.

[0054] The method provided in at least one embodiment of this disclosure is applicable to any existing application scenario of new energy vehicles. For example, for pure electric passenger vehicles, this method can monitor the connection status of the high-voltage circuit at any time and promptly detect interlocking anomalies caused by problems such as aging wiring harnesses and loose plugs. For hybrid vehicles, it can adapt to the complex operating conditions of engine and motor working together, ensuring stable transmission of high-voltage interlocking signals during power mode switching and avoiding misjudgments caused by instantaneous current changes. Meanwhile, in the commercial vehicle sector, this method uses dynamic PWM signal parameters to adapt to system characteristics under different loads and road conditions, providing continuous and reliable technical support for the safe operation of vehicles.

[0055] Figure 3 A flowchart illustrating a temperature-based PWM signal adjustment scheme provided for at least one embodiment of this disclosure. Figure 1 Based on this, in order to ensure the adaptability of the high-voltage interlock detection method to different temperatures, the driving environment parameters obtained in step S20 include the high-voltage circuit temperature, and as follows: Figure 3 As shown, step S30 is further refined into the following sub-steps S301-S302.

[0056] Sub-step S301: In response to the high voltage circuit temperature being higher than the preset first temperature threshold (also known as the high temperature threshold), reduce the frequency of the PWM signal.

[0057] Sub-step S302: In response to the high voltage circuit temperature being lower than the preset second temperature threshold (also known as the low temperature threshold), increase the duty cycle of the PWM signal.

[0058] Wherein, the first temperature threshold is greater than the second temperature threshold. Sub-step S301 aims to reduce the frequency of the PWM signal when the high-voltage circuit is at a high temperature, so as to reduce the switching losses of the power devices. Sub-step S302 aims to increase the duty cycle of the PWM signal when the high-voltage circuit is at a low temperature, so as to compensate for the signal attenuation caused by the increase in line impedance due to the low temperature.

[0059] Figure 4 A flowchart illustrating a humidity-based PWM signal adjustment scheme provided for at least one embodiment of this disclosure. Figure 1 or Figure 3 Based on this, in order to ensure the adaptability of the high-voltage interlock detection method to different humidity levels, the operating environment parameters obtained in step S20 include the humidity between high-voltage circuit components, and such as... Figure 4 As shown, step S30 is further refined to include the following sub-step S303.

[0060] Sub-step S303: In response to the humidity between high-voltage circuit devices exceeding the preset humidity threshold, an intermittent signal enhancement strategy is activated. The intermittent signal enhancement strategy is configured to send a specific pulse (also known as a high-amplitude pulse) with an amplitude exceeding the set value through the PWM signal every N PWM cycles, so that the insulation leakage current in the new energy vehicle returns to the preset safe range, where N is a positive integer.

[0061] Sub-step S303 aims to implement an intermittent signal enhancement method when the humidity between high-voltage circuit devices exceeds the limit, sending a high-amplitude pulse every N PWM cycles to overcome the possible influence of insulation leakage current.

[0062] Figure 5 A flowchart illustrating a PWM signal adjustment scheme based on electromagnetic interference provided for at least one embodiment of this disclosure. Figure 1 , Figure 3 or Figure 4 Based on this, to ensure the adaptability of the high-voltage interlock detection method to different electromagnetic interference environments, the driving environment parameters obtained in step S20 include electromagnetic interference intensity. Electromagnetic interference intensity can be obtained through the following methods: adding a current / voltage ripple sensor to the high-voltage circuit at the hardware level or capturing the signal noise amplitude through AD sampling; analyzing the frequency domain characteristics of the signal at the software level to separate interference frequency components, such as high-frequency spikes, and quantifying the electromagnetic interference intensity. Figure 5 As shown, step S30 is further refined into sub-steps S304-S305.

[0063] Sub-step S304: Determine the current interference level based on the electromagnetic interference intensity.

[0064] Sub-step S305: Adjust the frequency and duty cycle of the PWM signal based on the interference level.

[0065] Sub-steps S304-S305 aim to automatically adjust the frequency and duty cycle of the PWM signal when strong electromagnetic interference is detected in environments such as charging stations, in order to improve the anti-interference capability of the sampling signal.

[0066] In some embodiments, Figure 5 Based on this, the interference levels in step S304 include a first level (also known as low interference), a second level (also known as medium interference), and a third level (also known as high interference) with increasing interference levels. Furthermore, sub-step S305 is refined to include sub-steps S305a to S305c.

[0067] Sub-step S305a: In response to the interference level being the first level, the frequency of the control PWM signal is kept at the reference frequency, and the duty cycle of the control PWM signal is kept constant at 50%.

[0068] Sub-step S305b: In response to the interference level being the second level, the frequency of the control PWM signal is increased to a first frequency different from the reference frequency, and the duty cycle of the control PWM signal is controlled to fluctuate according to a sine law.

[0069] Sub-step S305c: In response to the interference level being the third level, the frequency of the control PWM signal is increased to a second frequency different from the reference frequency and the first frequency, and the duty cycle of the control PWM signal is controlled to fluctuate according to a sine law.

[0070] It should be noted that the above scheme does not limit the period of the PWM signal involved in sub-steps S305a-S305c. The period can generally be a fixed value, such as 2 seconds or other times. If the period changes randomly, the receiver needs to track the frequency in real time, increasing algorithm complexity and making it more susceptible to noise interference. In strong interference scenarios, a graded dynamic period can also improve anti-interference capability, but this requires increasing the synchronization mechanism and algorithm complexity.

[0071] The reference frequency, first frequency, and second frequency increase sequentially. When the duty cycle changes sinusoidally, the spectrum of the PWM signal concentrates towards the reference frequency, significantly reducing the amplitude of higher harmonics and decreasing the harmonic spectrum width, thus achieving a balance between anti-interference capability and signal reliability.

[0072] As an exemplary implementation, the reference frequency is 1kHz, the first frequency is 3kHz, the second frequency is 5kHz, and the duty cycle with sinusoidal fluctuation is 45%~55%. This ensures that the frequency of the PWM signal remains at 1kHz and the duty cycle is static at 50% when there is low interference, the frequency of the PWM signal increases to 3kHz and the duty cycle fluctuates sinusoidally (45%~55%) when there is medium interference, and the frequency of the PWM signal increases to 5kHz and the duty cycle fluctuates sinusoidally (45%~55%) when there is high interference.

[0073] Figure 6 A flowchart illustrating a fault diagnosis scheme provided in at least one embodiment of this disclosure. Figure 1 , Figure 3 , Figure 4 or Figure 5 Based on this, in order to avoid misjudgment, such as Figure 6 As shown, step S60 is further refined into the following sub-steps S601-S602.

[0074] Sub-step S601: Compare the adjusted PWM signal with the sampled signal to obtain the parameter deviation between the adjusted PWM signal and the sampled signal.

[0075] Sub-step S602: In response to the parameter deviation exceeding the preset error range within M PWM cycles, it is determined that the new energy vehicle has a high-voltage interlock fault, where M is a positive integer greater than or equal to 2.

[0076] These parameter deviations include, but are not limited to, signal frequency deviation, duty cycle deviation, and phase deviation. By monitoring deviations for M consecutive cycles, misjudgments caused by transient interference can be effectively avoided, improving the accuracy and reliability of fault detection and ensuring the safety of high-voltage systems in new energy vehicles.

[0077] The specific implementation process of the above scheme may include: 1) issuing the adjusted PWM signal, 2) signal acquisition and filtering, 3) real-time error calculation, and 4) fault confirmation.

[0078] High-voltage interlock fault diagnosis is performed based on whether the deviation between the adjusted PWM signal output by the high-voltage interlock detection system in the controller and the real-time sampled signal meets the error range. The integrity of the high-voltage circuit is determined by real-time monitoring of the dynamic characteristics (frequency or duty cycle) of the acquired PWM signal and the deviation from the output PWM signal. If the acquired signal exceeds the error range for two consecutive cycles, a fault can be identified.

[0079] In some embodiments, Figure 1 , Figure 3 or Figure 4 Based on this, when dynamically adjusting the parameters of the PWM signal after initialization configuration, the parameters of the PWM signal are adjusted sequentially according to the preset priority order of the driving environment parameters. The priority order of the driving environment parameters is configured such that the priority of high voltage circuit temperature, humidity between high voltage circuit devices and electromagnetic interference intensity decreases sequentially, for example, steps S301-S305 are executed sequentially.

[0080] In some embodiments, Figures 1-6 In order to ensure the operational stability of new energy vehicles, the method further includes the following step S01.

[0081] Step S01: Upon receiving the power-on self-test command, generate a control command for initializing and configuring the parameters of the PWM signal to initiate the high-voltage interlock detection of the new energy vehicle.

[0082] Step S01 can be placed before step S10 as a pre-processing step for high-voltage interlock detection. Upon receiving the power-on self-test command from the high-voltage circuit, the system will immediately trigger high-voltage interlock detection. The algorithm in steps S10-S30 will dynamically configure the parameters of the PWM signal to ensure that the parameters of the PWM signal match the current high-voltage system status of the vehicle, thereby improving the adaptability of new energy vehicles to complex environments and ensuring operational stability.

[0083] In some embodiments, Figures 1-6 In order to improve the adaptability of new energy vehicles to different operating conditions, the method further includes the following steps S31-S33.

[0084] Step S31: Obtain the operating parameters of the new energy vehicle.

[0085] Step S32: Based on the operating condition parameters, when the new energy vehicle is in a sudden load change condition, increase the frequency of the adjusted PWM signal.

[0086] Step S33: When the new energy vehicle is in charging mode based on the operating condition parameters, set the adjusted PWM signal to a fixed frequency and a fixed duty cycle.

[0087] Steps S31-S33 can be positioned between steps S30 and S40. When a sudden load change is detected in the vehicle, such as rapid acceleration or deceleration, the frequency of the PWM signal adjusted in step S30 is dynamically increased to ensure system real-time performance. When the new energy vehicle is detected to be in charging mode, a PWM signal with a fixed frequency duty cycle is used to meet the communication requirements of the charging pile. Steps S31-S33 achieve a first-level adjustment based on driving environment parameters followed by a second-level adjustment based on operating condition parameters to obtain the final adjusted PWM signal.

[0088] The above solution adjusts the high-voltage interlock detection method in real time according to the vehicle's operating environment and working conditions, improving the detection's anti-interference ability and vehicle operation stability, and enhancing the adaptability of new energy vehicles to complex working conditions.

[0089] As an exemplary implementation, the operating parameters include, but are not limited to, the torque command change rate d of the motor controller. T / d t When d T / d tFrequency adjustment is triggered when the preset rate of change threshold is exceeded. The frequency adjustment adopts a graded adjustment mechanism, which is divided into 3 levels according to the severity of load change. The frequency adjustment range is 3~10 kHz to cover normal and extreme operating conditions.

[0090] Step S32 is further refined into the following sub-steps S321-323.

[0091] Sub-step S321: Responding to the rate of change d of the torque command from the motor controller T / d t Between 200 and 500 Nm / s, the frequency of the adjusted PWM signal is then adjusted back to 3kHz.

[0092] Sub-step S322: Response to the rate of change d of the torque command from the motor controller T / d t Between 500 and 800 Nm / s, the frequency of the adjusted PWM signal is adjusted again to 5kHz.

[0093] Sub-step S323: Response to the rate of change d of the torque command from the motor controller T / d t If the speed is greater than 800 Nm / s, adjust the frequency of the adjusted PWM signal to 10kHz.

[0094] Step S33 is further refined to include: when the new energy vehicle is identified as being in charging mode based on operating condition parameters, the frequency of the adjusted PWM signal is adjusted to 1kHz, and the duty cycle is adjusted to a fixed value between 10% and 90%. For example, when the vehicle is detected to be in charging mode, a PWM signal with a fixed frequency of 1kHz and a duty cycle of 50% can be used.

[0095] Figure 7 A flowchart illustrating an example of a high-voltage interlock detection method for new energy vehicles provided in at least one embodiment of this disclosure. Figure 7 As shown, the method includes the following steps: 1) Power-on self-test, initialize the PWM signal frequency to the reference frequency of 1kHz, duty cycle of 50%, and task cycle of 10ms; 2) Perform temperature compensation and humidity adaptation, detect the high-voltage circuit temperature, and adjust the parameters of the PWM signal according to the high-voltage circuit temperature. When a high temperature is detected, such as a high-voltage circuit temperature >50℃, reduce the frequency of the PWM signal to reduce the switching loss of power devices. When a low temperature is detected, such as a high-voltage circuit temperature <-20℃, increase the duty cycle of the PWM signal to compensate for the signal attenuation caused by the increase in line impedance due to low temperature. Also, when the humidity between high-voltage circuit devices exceeds the limit, implement an intermittent signal enhancement mode, sending a high-amplitude pulse every 10 PWM cycles to overcome the possible influence of insulation leakage current. 3) Adjustments are made for strong electromagnetic interference environments. When strong electromagnetic interference is detected in environments such as charging stations, the frequency of the PWM signal is automatically increased to improve the anti-interference capability of the detection signal. The program detects the environmental interference intensity every 100ms, classifies the interference level according to the interference intensity, and adjusts the frequency of the PWM signal from 1kHz to 5kHz. The duty cycle changes according to a sine law (45% to 55%), with a period of 2 seconds.

[0096] 4) Adaptive operation under other working conditions: When a sudden load change is detected, such as rapid acceleration or deceleration of the vehicle, the frequency of the PWM signal is dynamically increased to ensure real-time performance; when the vehicle is detected to be in charging mode, a PWM signal with a fixed frequency duty cycle is used to match the communication requirements of the charging pile. 5) Perform fault detection and diagnose high-voltage interlock faults based on whether the adjusted PWM signal and the sampled signal meet the error range.

[0097] The above-mentioned solution ensures the safety and reliability of the high-voltage system in new energy vehicles.

[0098] Figure 8 This is a structural block diagram of a high-voltage interlock detection system for new energy vehicles provided in at least one embodiment of this disclosure. Figure 8 As shown, the high-voltage interlock detection system 10 for new energy vehicles includes a preprocessing unit 11, a first acquisition unit 12, a PWM signal adaptive unit 13, a second acquisition unit 14, and a fault detection unit 15.

[0099] The preprocessing unit 11 is configured to initialize the parameters of the PWM signal, including the frequency, duty cycle, and task period.

[0100] The first acquisition unit 12 is configured to acquire driving environment parameters of new energy vehicles.

[0101] The PWM signal adaptive unit 13 is configured to dynamically adjust the PWM signal after initialization based on driving environment parameters, so as to correct its parameters and input the adjusted PWM signal into the high-voltage circuit of the new energy vehicle.

[0102] The second acquisition unit 14 is configured to acquire the sampling signal generated by the high-voltage circuit based on the adjusted PWM signal.

[0103] The fault detection unit 15 is configured to identify whether a new energy vehicle has a high-voltage interlock fault based on the comparison between the adjusted PWM signal and the sampled signal.

[0104] The specific execution methods of each unit in the above system embodiments have been described in detail in the embodiments related to the method, and will not be elaborated here.

[0105] In some embodiments, Figure 8 Based on this, the first acquisition unit 12 and the second acquisition unit 14 can be implemented by corresponding sensors, and the preprocessing unit 11, the PWM signal adaptive unit 13 and the fault detection unit 15 can be implemented by a controller or control module with corresponding programs.

[0106] This disclosure also provides a storage medium storing a program or instructions that, when executed by a processor, implement the steps of the method embodiments described above.

[0107] This disclosure also provides a program product, such as... Figure 9 As shown, the program product includes one or more processors 21 and memory 22. Figure 9 Take a processor 21 as an example.

[0108] The controller may also include an input device 23 and an output device 24.

[0109] The processor 21, memory 22, input device 23, and output device 24 can be connected via a bus or other means. Figure 9 Taking the example of a connection between China and Israel via a bus.

[0110] The processor 21 can be a central processing unit (CPU), or it can be other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or combinations of the above types of chips. The general-purpose processor can be a microprocessor or any conventional processor.

[0111] The memory 22, as a non-transitory computer-readable storage medium, can be used to store non-transitory software programs, non-transitory computer-executable programs, and modules, such as the program instructions / modules corresponding to the methods in the embodiments of this disclosure. The processor 21 executes various functional applications and data processing of the server by running the non-transitory software programs, instructions, and modules stored in the memory 22, thereby implementing the steps of the above-described method embodiments.

[0112] The memory 22 may include a program storage area and a data storage area. The program storage area may store the operating system and applications required for at least one function; the data storage area may store data created by the use of the processing device operated by the server. Furthermore, the memory 22 may include high-speed random access memory and may also include non-transitory memory, such as at least one disk storage device, flash memory device, or other non-transitory solid-state storage device. In some embodiments, the memory 22 may optionally include memory remotely located relative to the processor 21, and these remote memories may be connected to a network connection device via a network. Examples of such networks include, but are not limited to, the Internet, intranets, local area networks, mobile communication networks, and combinations thereof.

[0113] Input device 23 can receive input digital or character information, and generate key signal inputs related to driver settings and function control of the server's processing unit. Output device 24 may include display devices such as a display screen.

[0114] One or more modules are stored in memory 22, and when executed by one or more processors 21, they perform actions such as... Figure 1 The method shown.

[0115] Those skilled in the art will understand that all or part of the processes in the above method embodiments can be implemented by a computer program instructing related hardware. The program can be stored in a computer-readable storage medium, and when executed, it can include the processes described in the above method embodiments. The storage medium can be a magnetic disk, optical disk, read-only memory (ROM), random access memory (RAM), flash memory (FM), hard disk drive (HDD), or solid-state drive (SSD), etc.; the storage medium can also include combinations of the above types of memory.

[0116] Although embodiments of the present disclosure have been described in conjunction with the accompanying drawings, those skilled in the art can make various modifications and variations without departing from the spirit and scope of the present disclosure, and such modifications and variations all fall within the scope defined by the appended claims.

[0117] Although embodiments of the present disclosure have been shown and described above, it is to be understood that the above embodiments are exemplary and should not be construed as limiting the present disclosure. Those skilled in the art can make changes, modifications, substitutions and variations to the above embodiments within the scope of the present disclosure.

Claims

1. A high-voltage interlock detection method for a new energy vehicle, characterized in that, The method comprises: initializing configuration of parameters of a PWM signal, wherein the parameters include frequency, duty cycle and task period; obtaining driving environment parameters of a new energy vehicle; dynamically adjusting the PWM signal after the initialization configuration based on the driving environment parameters to correct the parameters thereof; inputting the adjusted PWM signal into a high-voltage loop of the new energy vehicle; obtaining a sampling signal generated by the high-voltage loop based on the adjusted PWM signal; and comparing the adjusted PWM signal with the sampling signal to identify whether a high-voltage interlock fault exists in the new energy vehicle.

2. The method of claim 1, wherein, The method further comprises: when a power-on self-test instruction is received, generating a control instruction for initializing configuration of parameters of a PWM signal to start high-voltage interlock detection of the new energy vehicle.

3. The method according to claim 1 or 2, characterized in that, The driving environment parameters include high-voltage loop temperature, and the dynamically adjusting the PWM signal after the initialization configuration based on the driving environment parameters comprises: in response to the high-voltage loop temperature being higher than a preset first temperature threshold, reducing the frequency of the PWM signal; and in response to the high-voltage loop temperature being lower than a preset second temperature threshold, increasing the duty cycle of the PWM signal; wherein the first temperature threshold is greater than the second temperature threshold.

4. The method according to claim 1 or 2, characterized in that, The driving environment parameters include high-voltage loop device-to-device humidity, and the dynamically adjusting the PWM signal after the initialization configuration based on the driving environment parameters comprises: in response to the high-voltage loop device-to-device humidity exceeding a preset humidity threshold, starting an intermittent signal enhancement strategy, wherein the intermittent signal enhancement strategy is configured to send a specific pulse with an amplitude exceeding a set value through the PWM signal every N PWM periods, so that the insulation leakage current in the new energy vehicle returns to a preset safe range, and N is a positive integer.

5. The method according to claim 1 or 2, characterized in that, The driving environment parameters include electromagnetic interference intensity, and the dynamically adjusting the PWM signal after the initialization configuration based on the driving environment parameters comprises: determining a current interference level based on the electromagnetic interference intensity; and adjusting the frequency and the duty cycle of the PWM signal based on the interference level.

6. The method of claim 5, wherein, The interference level includes a first level, a second level and a third level in which the interference degree increases successively, and the adjusting the frequency and the duty cycle of the PWM signal based on the interference level comprises: in response to the interference level being the first level, controlling the frequency of the PWM signal to remain a reference frequency and controlling the duty cycle of the PWM signal to be constant at 50%; in response to the interference level being the second level, controlling the frequency of the PWM signal to increase to a first frequency different from the reference frequency and controlling the duty cycle of the PWM signal to fluctuate according to a sine law; and in response to the interference level being the third level, controlling the frequency of the PWM signal to increase to a second frequency different from the reference frequency and the first frequency and controlling the duty cycle of the PWM signal to fluctuate according to a sine law; wherein the reference frequency, the first frequency and the second frequency increase successively.

7. The method according to claim 1 or 2, characterized in that, The comparison of the adjusted PWM signal and the sampling signal identifies whether the new energy vehicle has a high-voltage interlock fault, including: The comparison of the adjusted PWM signal and the sampling signal obtains a parameter deviation of the adjusted PWM signal and the sampling signal; and In response to the parameter deviation exceeding a preset error range in M PWM cycles, it is determined that the new energy vehicle has a high-voltage interlock fault, wherein M is a positive integer greater than or equal to 2.

8. The method of claim 1 or 2, wherein, When the parameters of the PWM signal are dynamically adjusted after the initialization configuration, the parameters of the PWM signal are sequentially adjusted in a preset driving environment parameter priority order, wherein the driving environment parameter priority order is configured to have a priority of high-voltage loop temperature, high-voltage loop device inter-humidity, and electromagnetic interference intensity decreasing in turn; and the method further includes: Obtaining a working condition parameter of the new energy vehicle; When the new energy vehicle is in a load mutation working condition, the frequency of the adjusted PWM signal is increased based on the working condition parameter; and When the new energy vehicle is in a charging mode, the adjusted PWM signal is set to a fixed frequency and a fixed duty cycle based on the working condition parameter.

9. A high-voltage interlock detection system for a new energy vehicle, characterized in that, It includes: A preprocessing unit configured to initialize and configure parameters of a PWM signal, wherein the parameters include frequency, duty cycle, and task cycle; A first obtaining unit configured to obtain driving environment parameters of a new energy vehicle; A PWM signal adaptive unit configured to dynamically adjust the PWM signal after the initialization configuration based on the driving environment parameters to correct the parameters of the PWM signal, and input the adjusted PWM signal into a high-voltage loop of the new energy vehicle; A second obtaining unit configured to obtain a sampling signal generated by the high-voltage loop based on the adjusted PWM signal; and A fault detection unit configured to identify whether the new energy vehicle has a high-voltage interlock fault based on a comparison of the adjusted PWM signal and the sampling signal.

10. A storage medium, characterized by The storage medium stores programs or instructions, wherein the programs or instructions are executed by the processor to implement the steps of the method of any one of claims 1 to 8.

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