New energy vehicle button sensitivity tolerance test method and system

Abstract

The application relates to the technical field of test and measurement technology, and discloses a new energy automobile key sensitivity tolerance test method and system, which comprises the following steps: a central control unit in an integrated test system is used to receive a test instruction of a new energy automobile key, an environment simulation cabin and a six-degree-of-freedom motion platform in the integrated test system are driven by the central control unit to reach an environment sub-scene and a dynamic sub-scene set by a composite test scene; under the environment sub-scene and the dynamic sub-scene, a touch operation sequence of a bionic mechanical test arm in the integrated test system is generated to be executed on a to-be-tested key; test multi-source data of the to-be-tested key in the touch operation sequence is acquired to analyze a scene-performance relationship of the to-be-tested key; a trigger success rate and a performance degradation curve of the to-be-tested key under different composite test scenes are analyzed to generate a sensitivity tolerance test report of the to-be-tested key. The application can improve the test accuracy of the sensitivity tolerance of the new energy automobile key under different scenes.

Description

Technical Field

[0001] This invention relates to a method and system for testing the sensitivity tolerance of buttons in new energy vehicles, belonging to the field of testing and measurement technology. Background Technology

[0002] The button sensitivity endurance test for new energy vehicles is a comprehensive test that systematically evaluates the response performance and mechanical durability of physical or touch buttons in long-term, variable environments by simulating real-world usage scenarios and extreme conditions. Its core significance lies in its transcendence of traditional mechanical reliability focused on "unbreakable by pressing," directly addressing the interactive quality and user safety of the smart cockpit. It not only ensures accurate and clear button response throughout their entire lifecycle but also prevents accidental touches and malfunctions caused by environmental interference or component aging, thereby guaranteeing the intuitiveness and reliability of human-machine interaction during driving, as well as the end-user's driving confidence and brand experience. This test serves as a crucial quality bridge connecting sophisticated hardware, intelligent software, and user experience, possessing indispensable engineering value for enhancing the technological sophistication and safety redundancy of new energy vehicles.

[0003] Traditional button sensitivity tolerance testing for new energy vehicles typically employs a static environment with a single robotic arm repeatedly pressing the buttons, focusing only on the failure points of the button's physical structure and the conduction of basic electrical signals. This traditional method presents a highly idealized testing scenario, completely detached from the actual dynamic driving conditions of a vehicle. Furthermore, its testing dimension is singular, using only the number of failed presses as the endpoint. It fails to quantitatively assess the button's response accuracy, system feedback latency, and the gradual degradation of user experience under different complex scenarios, resulting in inaccurate button sensitivity tolerance testing for new energy vehicles. Summary of the Invention

[0004] This invention provides a method and system for testing the sensitivity tolerance of buttons in new energy vehicles. Its main purpose is to improve the accuracy of testing the sensitivity tolerance of buttons in new energy vehicles under different scenarios.

[0005] To achieve the above objectives, the present invention provides a method for testing the sensitivity tolerance of buttons in new energy vehicles, comprising:

[0006] The central control unit in the integrated testing system receives test commands from the buttons of new energy vehicles. The test commands include the button identifier, the number of test cycles, and the composite test scenario. The central control unit is used to drive the environmental simulation chamber and the six-degree-of-freedom motion platform in the integrated test system to achieve the environmental sub-scenes and dynamic sub-scenes set in the composite test scenario. In the environmental sub-scene and dynamic sub-scene, based on the button identifier under test, the number of test cycles, and the interaction parameters of the composite test scene, a sequence of touch operations performed by the bionic mechanical test arm on the button under test in the integrated test system is generated. Acquire test multi-source data of the button under test in the touch operation sequence to analyze the scenario-performance relationship of the button under test; Based on the scenario-performance relationship, the trigger success rate and performance degradation curve of the button under test under different composite test scenarios are analyzed to generate a sensitivity tolerance test report for the button under test.

[0007] Optionally, the scenario-performance relationship of the button under test is analyzed, including: Mark the test time window corresponding to a single test event for the button under test; Based on the multi-source test data corresponding to the button under test, the ambient temperature, vibration acceleration, real-time pressing force and response delay of the button under test in the test time window are analyzed respectively. Based on the ambient temperature and the vibration acceleration, the scene-performance coupling influence factor of the button under test is calculated using the following formula:

[0008] in, Indicates the button to be tested is at the 1st digit. Scenario-performance coupling influencing factors within a test time window. Indicates the button to be tested is at the 1st digit. The average ambient temperature over the test time window. This indicates the reference ambient temperature of the button under test. This indicates the weighting coefficient for the influence of the temperature of the button being tested. Indicates the button to be tested is at the 1st digit. The root mean square value of vibration acceleration for each test time window. This represents the weighting coefficient for the vibration influence of the button under test. This represents the reference vibration acceleration of the button under test; The performance degradation index of the button under test is calculated based on the real-time pressing force and the response delay. By combining the scenario-performance coupling influencing factor and the performance degradation index, the scenario-performance relationship of the button under test is analyzed.

[0009] Optionally, the performance degradation index of the button under test is calculated based on the real-time pressing force and the response delay, including: The peak pressure of the button under test is marked in real time within the test time window corresponding to the button under test. Based on the response latency and the peak pressure, the performance degradation index of the button under test is calculated using the following formula:

[0010] in, Indicates the button to be tested is at the 1st digit. Performance degradation index for each test time window Indicates the button to be tested is at the 1st digit. Response latency for each test time window, This represents the baseline response delay of the button under test. This represents the response delay weighting coefficient of the button under test. Indicates the button to be tested is at the 1st digit. Peak pressure intensity within each test time window This indicates the reference pressing force of the button under test. This represents the pressure weighting coefficient of the button being tested.

[0011] Optionally, the environmental simulation chamber and six-degree-of-freedom motion platform in the integrated test system are driven by the central control unit to achieve the environmental sub-scenes and dynamic sub-scenes set in the composite test scenario, including: Based on the environmental parameters of the composite test scenario, a first control command is generated for the environmental simulation chamber to drive the environmental simulation chamber to reach the environmental sub-scenario. Based on the dynamic parameters of the composite test scenario, a second control command is generated for the six-degree-of-freedom motion platform to drive the six-degree-of-freedom motion platform to reach the dynamic sub-scenario.

[0012] Optionally, based on the environmental parameters of the composite test scenario, a first control command for the environmental simulation chamber is generated, including: Receive first feedback data from the environmental simulation chamber, wherein the first feedback data characterizes the real-time environmental state inside the environmental simulation chamber; The first feedback data and the environmental parameters are compared using the central control unit corresponding to the environmental simulation chamber to obtain a first comparison result; Based on the first comparison result, the first control command for the environmental simulation cabin is generated.

[0013] Optionally, based on the dynamic parameters of the composite test scenario, a second control command for the six-degree-of-freedom motion platform is generated, including: Receive second feedback data from the six-degree-of-freedom motion platform, wherein the second feedback data characterizes the real-time motion state of the six-degree-of-freedom motion platform; The second feedback data and the environmental parameters are compared using the central control unit corresponding to the six-degree-of-freedom motion platform to obtain a second comparison result; Based on the second comparison result, a second control command is generated for the six-degree-of-freedom motion platform.

[0014] Optionally, in the environmental sub-scene and dynamic sub-scene, based on the identifier of the button under test, the number of test cycles, and the interaction parameters of the composite test scene, a sequence of touch operations performed by the bionic mechanical test arm on the button under test in the integrated test system is generated, including: Based on the identifier of the key to be tested, query the preset key information database to obtain the operation type of the key to be tested; Based on the interaction parameters, the basic touch actions of the button under test are constructed; Based on the operation type, the basic touch action is adaptively adjusted to obtain the adjusted touch action; The adjusted touch action is repeated a specified number of times through the test loop to generate a touch operation sequence executed by the button under test.

[0015] Optionally, the basic touch action is a single operation command that includes at least one of the following parameters: pressing pressure, pressing speed, pressing angle, holding time, and withdrawal waiting time.

[0016] Optionally, based on the scenario-performance relationship, the trigger success rate and performance degradation curve of the button under test under different composite test scenarios are analyzed, including: Set the effective trigger criteria for the button under test to determine the trigger success rate of the button under test in different composite test scenarios; Extract the performance degradation index sequence of the scenario-performance relationship; Based on the scenario-performance relationship, a scenario label is assigned to each data point in the performance degradation index sequence; Using the scene labels, the performance degradation curves of the button under test are constructed under different composite test scenarios.

[0017] To address the aforementioned problems, this invention also provides a button sensitivity tolerance testing system for new energy vehicles, the system comprising: The test instruction acquisition module is used to receive test instructions from the buttons of new energy vehicles using the central control unit in the integrated test system. The test instructions include the button identifier, the number of test cycles, and the composite test scenario. The test scenario construction module is used to drive the environment simulation chamber and the six-degree-of-freedom motion platform in the integrated test system through the central control unit to achieve the environmental sub-scenario and dynamic sub-scenario set by the composite test scenario. The touch operation determination module is used to generate a sequence of touch operations performed by the bionic mechanical test arm on the button under test in the integrated test system, based on the button identifier under test, the number of test cycles, and the interaction parameters of the composite test scenario, in the environmental sub-scene and dynamic sub-scene. The scenario-performance analysis module is used to acquire test multi-source data of the button under test in the touch operation sequence, so as to analyze the scenario-performance relationship of the button under test; The test report generation module is used to analyze the trigger success rate and performance degradation curve of the button under test under different composite test scenarios based on the scenario-performance relationship, so as to generate a sensitivity tolerance test report of the button under test.

[0018] First, this invention constructs a highly realistic composite testing environment by integrating an environmental simulation chamber, a six-degree-of-freedom motion platform, and a bionic mechanical testing arm. This achieves precise coupled control of temperature, vibration, and operational interaction, solving the problem that traditional single-dimensional testing cannot accurately reflect the complex operating conditions of new energy vehicles. By utilizing multi-source test data for in-depth analysis of scenario-performance coupling influencing factors, it can quantify the dynamic impact of environmental stress on button performance. By generating trigger success rate and performance degradation curves, this invention can not only intuitively evaluate the sensitivity tolerance and lifespan trend of buttons under different extreme scenarios, but also provide accurate data support for product design and optimization, thereby effectively improving the reliability and user experience of in-vehicle buttons and reducing after-sales risks. Therefore, this invention can improve the testing accuracy of the sensitivity tolerance of new energy vehicle buttons under different scenarios. Attached Figure Description

[0019] Figure 1 This is a flowchart illustrating a method for testing the sensitivity tolerance of buttons in new energy vehicles, provided in an embodiment of the present invention. Figure 2 This is a schematic diagram of a module for implementing the button sensitivity tolerance test method for new energy vehicles according to an embodiment of the present invention; Figure 3 A schematic diagram of a computer device based on a method for testing the sensitivity tolerance of buttons in new energy vehicles, provided in an embodiment of the present invention; The objectives, features, and advantages of this invention will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0020] It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.

[0021] This application provides a method for testing the sensitivity tolerance of buttons on new energy vehicles. The executing entity of this method includes, but is not limited to, at least one electronic device that can be configured to execute the method provided in this application, such as a server or a terminal. In other words, the method for testing the sensitivity tolerance of buttons on new energy vehicles can be executed by software or hardware installed on a terminal device or a server device. The server includes, but is not limited to, a single server, a server cluster, a cloud server, or a cloud server cluster.

[0022] Reference Figure 1 The diagram shown is a flowchart illustrating a method for testing the sensitivity tolerance of buttons on new energy vehicles according to an embodiment of the present invention. In this embodiment, the method for testing the sensitivity tolerance of buttons on new energy vehicles includes: S1. Receive test instructions from the buttons of new energy vehicles using the central control unit in the integrated test system. The test instructions include the button identifier to be tested, the number of test cycles, and the composite test scenario.

[0023] This invention utilizes a central control unit in an integrated testing system to receive test commands from new energy vehicle buttons, enabling test cases to be defined, stored, and reused. This ensures consistency and comparability of tests performed by different batches and personnel. The integrated testing system refers to a comprehensive testing platform used to verify the reliability and performance of components or subsystems of new energy vehicles in near-real-world usage environments. It includes a central control unit, an environmental simulation chamber, a six-degree-of-freedom motion platform, a bionic mechanical test arm, and a multi-source data acquisition system. The central control unit is a high-performance industrial computer used to send synchronous or asynchronous control commands to all subsystems, including the environmental simulation chamber, motion platform, and mechanical arm, ensuring their coordinated operation. The new energy vehicle buttons are physical or virtual input buttons installed inside the new energy vehicle for human-machine interaction by the driver or passengers. The button identifier is a code used to uniquely identify and locate the target button. The number of test cycles refers to the total number of times the button under test is required to repeatedly execute the entire touch operation sequence in a complete test task. The composite test scenario is a comprehensive test environment composed of multiple environmental sub-scenarios, used to simulate complex driving conditions in the real world.

[0024] S2. The central control unit drives the environmental simulation chamber and the six-degree-of-freedom motion platform in the integrated test system to achieve the environmental sub-scene and dynamic sub-scene set in the composite test scenario.

[0025] This invention utilizes the central control unit to drive the environmental simulation chamber and six-degree-of-freedom motion platform in the integrated test system to achieve the environmental sub-scenes and dynamic sub-scenes set in the composite test scenario. It couples environmental stress with mechanical dynamic stress, which can reproduce the real working environment of the vehicle under extreme composite scenarios such as bumpy hot mountain roads and icy winter roads, and can more effectively expose the potential failure modes generated under complex interactions.

[0026] In detail, the method of using the central control unit to drive the environmental simulation chamber and the six-degree-of-freedom motion platform in the integrated test system to achieve the environmental sub-scenes and dynamic sub-scenes set in the composite test scenario includes: Based on the environmental parameters of the composite test scenario, a first control command is generated for the environmental simulation chamber to drive the environmental simulation chamber to reach the environmental sub-scenario. Based on the dynamic parameters of the composite test scenario, a second control command is generated for the six-degree-of-freedom motion platform to drive the six-degree-of-freedom motion platform to reach the dynamic sub-scenario.

[0027] The environmental parameters refer to the set of physical quantities used to define and quantify the specific climatic conditions that the environmental simulation chamber needs to create, including temperature, relative humidity, air pressure, light intensity, salt spray concentration, etc. The environmental simulation chamber refers to a container that can automatically adjust and stabilize its internal climatic conditions according to the instructions of the central control unit to simulate various natural environments. The first control instruction refers to a digital command used to guide how to adjust the internal environment to achieve the environmental parameters, for example, "set the target temperature value to +85 degrees Celsius". The environmental sub-scene refers to a stable or changing environmental state that is successfully achieved and maintained according to the environmental parameters. The dynamic parameters refer to the set of physical quantities used to define and quantify the specific motion state that the six-degree-of-freedom motion platform needs to simulate, including vibration spectrum, vibration acceleration, impact waveform, tilt angle, angular velocity, etc. The six-degree-of-freedom motion platform refers to a mechanical device that can simulate the arbitrary movement of an object in three-dimensional space. The second control instruction refers to a digital command used to guide how its actuators move to reproduce the dynamic parameters. The dynamic sub-scene refers to a stable or changing motion state scene that is successfully reproduced according to the dynamic parameters.

[0028] Further, generating the first control command for the environment simulation chamber based on the environmental parameters of the composite test scenario includes: Receive first feedback data from the environmental simulation chamber, wherein the first feedback data characterizes the real-time environmental state inside the environmental simulation chamber; The first feedback data and the environmental parameters are compared using the central control unit corresponding to the environmental simulation chamber to obtain a first comparison result; Based on the first comparison result, the first control command for the environmental simulation cabin is generated.

[0029] The first feedback data refers to the raw data stream that is collected in real time by sensors installed inside the environmental simulation chamber and transmitted back to the central control unit, representing the current actual environmental conditions inside the chamber. The real-time environmental state refers to the objective physical conditions of the environmental simulation chamber at a certain moment, directly described by the first feedback data. The comparison result refers to the difference obtained by comparing the real-time environmental state with the environmental parameters.

[0030] Further, the step of generating the second control command for the six-degree-of-freedom motion platform based on the dynamic parameters of the composite test scenario includes: Receive second feedback data from the six-degree-of-freedom motion platform, wherein the second feedback data characterizes the real-time motion state of the six-degree-of-freedom motion platform; The second feedback data and the environmental parameters are compared using the central control unit corresponding to the six-degree-of-freedom motion platform to obtain a second comparison result; Based on the second comparison result, a second control command is generated for the six-degree-of-freedom motion platform.

[0031] The second feedback data refers to the raw data stream that is collected in real time by sensors installed on the six-degree-of-freedom motion platform and transmitted back to the central control unit, representing the current actual motion state of the platform. The real-time motion state refers to the objective motion posture of the six-degree-of-freedom motion platform at a certain moment, which is directly described by the second feedback data. The second comparison result refers to the difference obtained by the central control unit after comparing the real-time motion state with the dynamic parameters.

[0032] S3. In the environmental sub-scene and dynamic sub-scene, based on the button identifier under test, the number of test cycles, and the interaction parameters of the composite test scene, generate the touch operation sequence to be performed by the bionic mechanical test arm on the button under test in the integrated test system.

[0033] In the aforementioned environmental and dynamic sub-scenes, this invention generates a sequence of touch operations performed by the bionic mechanical test arm on the button under test in the integrated testing system, based on the button identifier, the number of test cycles, and the interaction parameters of the composite test scenario. This sequence can accurately control interaction parameters such as pressing pressure, speed, angle, and dwell time, transforming the vague user feel into quantifiable physical operations. This ensures that the touch actions in each test are highly consistent, eliminates the randomness and errors of human operation, and guarantees the objectivity of the test results.

[0034] Specifically, in the environmental sub-scene and dynamic sub-scene, based on the identifier of the button under test, the number of test cycles, and the interaction parameters of the composite test scenario, a sequence of touch operations performed by the bionic mechanical test arm on the button under test in the integrated test system is generated, including: Based on the identifier of the key to be tested, query the preset key information database to obtain the operation type of the key to be tested; Based on the interaction parameters, the basic touch actions of the button under test are constructed; Based on the operation type, the basic touch action is adaptively adjusted to obtain the adjusted touch action; The adjusted touch action is repeated a specified number of times through the test loop to generate a touch operation sequence executed by the button under test.

[0035] The key information database refers to a structured data set that is pre-established and stored in the central control unit or its accessible database. The operation type refers to a classification label used to describe the basic physical interaction mode of the key under test. The basic touch action refers to a single, indivisible operation instruction that contains specific physical parameters. For example, for a press-type key, the basic touch action may be: press down with a force of 5N, a vertical angle of 90 degrees, and a speed of 10mm / s, hold for 0.5 seconds, then quickly withdraw at a speed of 20mm / s and wait for 1 second. The adjusted touch action refers to the final action instruction that has been adaptively optimized and modified based on the characteristics of the operation type on the basis of the basic touch action. The touch operation sequence refers to a complete test script formed by arranging one or more adjusted touch actions according to a preset logic and order and repeating them a specified number of times.

[0036] Furthermore, the basic touch action is a single operation command that includes at least one of the following parameters: pressing pressure, pressing speed, pressing angle, holding time, and withdrawal waiting time.

[0037] Specifically, the adaptive adjustment of the basic touch action according to the operation type to obtain the adjusted touch action includes: When the operation type is a press, the execution trajectory and contact posture of the basic touch action are optimized. The optimization includes: adjusting the uniform motion to an S-shaped acceleration and deceleration curve motion, adjusting the contact angle according to the curvature of the button surface, or adding multi-point pressing at different positions in a single action. When the operation type is rotational, the rotation speed and force application method of the basic touch action are optimized. The optimization includes: adjusting the uniform rotation to a variable speed rotation that includes acceleration and deceleration phases, superimposing a pressing force perpendicular to the rotation plane during the rotation process, or adding an action of hitting the limit block at the end of the rotation path. When the operation type is sliding, the sliding speed and pressure distribution of the basic touch action are optimized. The optimization includes: adjusting the uniform sliding to a non-uniform motion that simulates the start and stop process of a human hand, forming a pressure gradient change on the sliding path, or including multiple different sliding paths. When the operation type is toggle, the swing trajectory and force feedback of the basic touch action are optimized. The optimization includes: adjusting the ideal arc trajectory to a composite trajectory that includes a tangential component, adding a reverse force feedback action that simulates rebound force or damping, or simulating the angle overshoot phenomenon when toggling to the target gear.

[0038] S4. Obtain test multi-source data of the button under test in the touch operation sequence to analyze the scenario-performance relationship of the button under test.

[0039] This invention acquires multi-source test data of the button under test in the touch operation sequence, so as to analyze the scene-performance relationship of the button under test and use it as a basis for subsequent performance defect localization.

[0040] In detail, the analysis of the scenario-performance relationship of the button under test includes: Mark the test time window corresponding to a single test event for the button under test; Based on the multi-source test data corresponding to the button under test, the ambient temperature, vibration acceleration, real-time pressing force and response delay of the button under test in the test time window are analyzed respectively. Based on the ambient temperature and the vibration acceleration, the scene-performance coupling influence factor of the button under test is calculated using the following formula:

[0041] in, Indicates the button to be tested is at the 1st digit. Scenario-performance coupling influencing factors within a test time window. Indicates the button to be tested is at the 1st digit. The average ambient temperature over the test time window. This indicates the reference ambient temperature of the button under test. This indicates the weighting coefficient for the influence of the temperature of the button being tested. Indicates the button to be tested is at the 1st digit. The root mean square value of vibration acceleration for each test time window. This represents the weighting coefficient for the vibration influence of the button under test. This represents the reference vibration acceleration of the button under test; The performance degradation index of the button under test is calculated based on the real-time pressing force and the response delay. By combining the scenario-performance coupling influencing factor and the performance degradation index, the scenario-performance relationship of the button under test is analyzed.

[0042] In this context, a single test event refers to a complete and independent interactive operation performed by the bionic mechanical test arm on the button under test during continuous automated testing. The test time window refers to the data analysis interval formed by extending forward and backward from the single test event. The ambient temperature refers to the air temperature at the location of the button under test, provided by the environmental simulation chamber in the integrated testing system and collected in real time. The vibration acceleration refers to the vibration intensity experienced by the button under test, applied by the six-degree-of-freedom motion platform in the integrated testing system and collected in real time by an accelerometer. The real-time pressing force refers to the instantaneous force value perpendicular to the button surface, continuously collected at high frequency by a force sensor installed on the end effector of the bionic mechanical test arm during the pressing of the button. The response delay refers to the time from the fingertip of the bionic mechanical test arm to the input of the button. The time elapsed from the moment the button surface is touched and a preset trigger force is reached until the internal circuit of the button emits a valid trigger signal is defined as follows: The performance degradation index is a dimensionless value used to quantitatively evaluate the overall performance of the button under test in a single test event; the scenario-performance relationship is a mathematical model used to describe the quantitative relationship between changes in the composite test scenario and changes in the performance of the button under test; the reference ambient temperature is a preset ideal ambient temperature value used as a reference standard; the temperature influence weighting coefficient is a proportional coefficient used to quantify the degree of influence of ambient temperature changes on button performance; the vibration influence weighting coefficient is a proportional coefficient used to quantify the degree of influence of vibration acceleration changes on button performance; the reference vibration acceleration is a preset ideal vibration intensity value used as a reference standard; and the scenario-performance coupling influence factor is a factor used to quantitatively evaluate the performance degradation in a single test event. The dimensionless characteristic parameters that comprehensively affect the performance of the button under test within a test time window, considering the combined impact of external composite test scenarios.

[0043] Furthermore, the calculation of the performance degradation index of the button under test based on the real-time pressing pressure and the response delay includes: The peak pressure of the button under test is marked in real time within the test time window corresponding to the button under test. Based on the response latency and the peak pressure, the performance degradation index of the button under test is calculated using the following formula:

[0044] in, Indicates the button to be tested is at the 1st digit. Performance degradation index for each test time window Indicates the button to be tested is at the 1st digit. Response latency for each test time window, This represents the baseline response delay of the button under test. This represents the response delay weighting coefficient of the button under test. Indicates the button to be tested is at the 1st digit. Peak pressure intensity within each test time window This indicates the reference pressing force of the button under test. This represents the pressure weighting coefficient of the button being tested.

[0045] Wherein, the peak pressure intensity refers to the maximum value among all real-time pressure intensity data collected within the test time window corresponding to a single test event; the response latency weighting coefficient is a proportional coefficient used to balance the importance of response latency when calculating the performance degradation index; the pressure intensity weighting coefficient is a proportional coefficient used to balance the importance of peak pressure intensity when calculating the performance degradation index; the baseline response latency refers to a preset ideal response latency value used as a reference standard; the baseline pressure intensity is the standard pressure intensity value used as a reference standard; and the performance degradation index is a comprehensive quantitative evaluation index used to assess the pressure intensity of the button under test in the [test time window]. The dimensionless characteristic parameter that indicates the deviation of the actual performance from the ideal baseline state within a test time window.

[0046] Further, the analysis of the scene-performance relationship of the button under test by combining the scene-performance coupling influence factor and the performance degradation index includes: using the test time window as a benchmark, aligning the scene-performance coupling influence factor and the performance degradation index in time to construct a one-to-one corresponding feature data pair; wherein, the scene-performance coupling influence factor serves as a quantitative indicator of environmental severity, and the performance degradation index serves as a quantitative indicator of button performance status; in the feature data pair, analyzing the influence relationship between the numerical change of the scene-performance coupling influence factor and the numerical change of the performance degradation index, wherein the influence relationship includes: if the value of the scene-performance coupling influence factor fluctuates with the test time, and the value of the performance degradation index fluctuates in the same direction, then the button under test is determined to have environmental sensitivity characteristics; if the value of the scene-performance coupling influence factor remains stable or decreases, while the value of the performance degradation index continues to increase monotonically, then the button under test is determined to have mechanical fatigue characteristics; based on the influence relationship, the scene-performance relationship of the button under test is determined.

[0047] The feature data pair refers to a binary data combination consisting of the scene-performance coupling influence factor value and the performance degradation index value within the same test time window. The influence relationship refers to the causal relationship logic determined by comparing the differences in the trends of the two values ​​in the feature data pair over time, which is used to explain whether the performance degradation is driven by the external environment or by internal mechanical wear. The environmental sensitivity characteristic refers to the dynamic response characteristic that the performance of the button under test is highly dependent on the changes in the external composite test scene. When the environmental stress increases, the performance drops significantly, and when the environmental stress decreases, the performance recovers to some extent. The mechanical fatigue characteristic refers to the irreversible degradation characteristic that the performance of the button under test is mainly affected by the cumulative number of operations. Even if the external environmental stress remains stable or decreases, its performance still shows a continuous downward trend over the test time.

[0048] S5. Based on the scenario-performance relationship, analyze the trigger success rate and performance degradation curve of the button under test under different composite test scenarios to generate a sensitivity tolerance test report of the button under test.

[0049] Based on the scenario-performance relationship, this invention analyzes the trigger success rate and performance degradation curve of the button under test under different composite test scenarios, which can effectively generate a test report for the button under test.

[0050] In detail, based on the scenario-performance relationship, the analysis of the trigger success rate and performance degradation curve of the button under test under different composite test scenarios includes: Set the effective trigger criteria for the button under test to determine the trigger success rate of the button under test in different composite test scenarios; Extract the performance degradation index sequence of the scenario-performance relationship; Based on the scenario-performance relationship, a scenario label is assigned to each data point in the performance degradation index sequence; Using the scene labels, the performance degradation curves of the button under test are constructed under different composite test scenarios.

[0051] The effective trigger criterion refers to the criterion used to determine whether the button under test in a single test event has successfully completed a valid functional response. The trigger success rate refers to the percentage of successful triggers of the button under test in a specific composite test scenario out of the total number of tests. The performance degradation index sequence refers to a dataset composed of performance degradation indices calculated from all single test events, arranged in chronological order. The scenario label refers to an identifier attached to each data point in the performance degradation index sequence. The performance degradation curve refers to a curve drawn in a two-dimensional coordinate system with time as the horizontal axis and performance degradation index as the vertical axis.

[0052] Optionally, the step of labeling the scene tag for each data point in the performance degradation index sequence based on the scene-performance relationship includes: setting tag rules according to the scene-performance relationship: if a strong coupling relationship is determined, setting the current data point to correspond to an "environmentally sensitive tag"; if a weak coupling relationship is determined, setting the current data point to correspond to a "mechanical wear tag"; traversing each data point in the performance degradation index sequence, obtaining the scene-performance coupling influence factor value corresponding to the data point, and adding the corresponding scene tag to the data point according to the tag rules.

[0053] Optionally, constructing the performance degradation curve of the button under test under different composite test scenarios using the scenario labels includes: displaying the data points on the curve differently according to the scenario labels (for example, marking the data points of the "environmentally sensitive label" in red and the data points of the "mechanical wear label" in blue), thereby constructing a performance degradation curve that can intuitively reflect the causes of performance degradation under different composite scenarios.

[0054] Finally, the sensitivity tolerance test report generated by this invention can predict the effective lifespan of the button under test in specific usage scenarios. The sensitivity tolerance test report is a comprehensive technical document that fully evaluates the performance, reliability, and durability of the button under test under various combined testing scenarios.

[0055] First, this invention constructs a highly realistic composite testing environment by integrating an environmental simulation chamber, a six-degree-of-freedom motion platform, and a bionic mechanical testing arm. This achieves precise coupled control of temperature, vibration, and operational interaction, solving the problem that traditional single-dimensional testing cannot truly reflect the complex operating conditions of new energy vehicles. By utilizing multi-source test data for in-depth analysis of scenario-performance coupling influencing factors, it can quantify the dynamic impact of environmental stress on button performance. By generating trigger success rate and performance degradation curves, this invention can not only intuitively evaluate the sensitivity tolerance and lifespan trend of buttons under different extreme scenarios, but also provide precise data support for product design and optimization, thereby effectively improving the reliability and user experience of in-vehicle buttons and reducing after-sales risks.

[0056] like Figure 2 The diagram shown is a functional block diagram of the button sensitivity tolerance test system for new energy vehicles based on the present invention.

[0057] The button sensitivity tolerance testing system 200 for new energy vehicles described in this invention can be installed in electronic devices. Depending on the functions implemented, the system may include a test instruction acquisition module 201, a test scenario construction module 202, a touch operation determination module 203, a scenario-performance analysis module 204, and a test report generation module 205. The module described in this invention can also be called a unit, which refers to a series of computer program segments that can be executed by the processor of an electronic device and perform a fixed function, stored in the memory of the electronic device.

[0058] In this embodiment of the invention, the functions of each module / unit are as follows: The test instruction acquisition module 201 is used to receive test instructions from the buttons of new energy vehicles using the central control unit in the integrated test system. The test instructions include the button identifier to be tested, the number of test cycles, and the composite test scenario. The test scenario construction module 202 is used to drive the environment simulation chamber and the six-degree-of-freedom motion platform in the integrated test system using the central control unit to achieve the environmental sub-scenario and dynamic sub-scenario set by the composite test scenario. The touch operation determination module 203 is used to generate a sequence of touch operations performed by the bionic mechanical test arm on the button under test in the integrated test system, based on the button identifier under test, the number of test cycles, and the interaction parameters of the composite test scenario, in the environmental sub-scene and dynamic sub-scene. The scenario-performance analysis module 204 is used to acquire test multi-source data of the button under test in the touch operation sequence, so as to analyze the scenario-performance relationship of the button under test. The test report generation module 205 is used to analyze the trigger success rate and performance degradation curve of the button under test under different composite test scenarios based on the scenario-performance relationship, so as to generate a sensitivity tolerance test report of the button under test.

[0059] In detail, the modules in the new energy vehicle button sensitivity tolerance testing system 200 described in this embodiment of the invention adopt the same characteristics as described above during use. Figure 1 The same technical means are used as described in the method for testing the sensitivity tolerance of buttons in new energy vehicles, and can produce the same technical effect, so they will not be repeated here.

[0060] In one embodiment, a computer device is provided, which may be a server or a client, and its internal structure diagram may be as follows: Figure 3As shown, the computer device includes a processor, memory, network interface, and database connected via a system bus. The processor provides computing and control capabilities. The memory includes non-volatile and / or volatile storage media and internal memory. The non-volatile storage media stores the operating system, computer programs, and database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The network interface is used to communicate with external clients via a network connection. When the computer program is executed by the processor, it implements functions or steps on the server or client side of a method for testing the sensitivity tolerance of buttons in new energy vehicles.

[0061] In one embodiment, a computer device is provided, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to perform the following steps: Real-time analysis of the spatiotemporal consistency and physical constraint violation of multimodal sensors under the current environmental slice is used to generate modal state vectors of multimodal sensors. The modal state vectors contain degradation labels that characterize the degradation type, degradation degree, and spatiotemporal confidence of each sensor mode. Based on the modal state vectors, a cognitive spatiotemporal twin of the UAV is constructed; The cognitive spatiotemporal twin is used as a differentiable world model of the UAV's reinforcement learning agent to generate the UAV's target execution actions under preset constraints. The target action is converted into a control command and driven to execute by the UAV. The residual value is obtained by performing residual analysis on the real perception observation data after execution and the inferred state of the cognitive spatiotemporal twin. When the residual value does not meet the preset residual threshold, the parameters of the cognitive spatiotemporal twin are adaptively calibrated online, and the process returns to the residual value calculation step. When the residual value meets the preset residual threshold, the intelligent decision report of the UAV is generated.

[0062] In one embodiment, a computer-readable storage medium is provided having a computer program stored thereon, the computer program performing the following steps when executed by a processor: Real-time analysis of the spatiotemporal consistency and physical constraint violation of multimodal sensors under the current environmental slice is used to generate modal state vectors of multimodal sensors. The modal state vectors contain degradation labels that characterize the degradation type, degradation degree, and spatiotemporal confidence of each sensor mode. Based on the modal state vectors, a cognitive spatiotemporal twin of the UAV is constructed; The cognitive spatiotemporal twin is used as a differentiable world model of the UAV's reinforcement learning agent to generate the UAV's target execution actions under preset constraints. The target action is converted into a control command and driven to execute by the UAV. The residual value is obtained by performing residual analysis on the real perception observation data after execution and the inferred state of the cognitive spatiotemporal twin. When the residual value does not meet the preset residual threshold, the parameters of the cognitive spatiotemporal twin are adaptively calibrated online, and the process returns to the residual value calculation step. When the residual value meets the preset residual threshold, the intelligent decision report of the UAV is generated.

[0063] It should be noted that the functions or steps that can be implemented by the computer-readable storage medium or computer device described above can be referred to the relevant descriptions on the server side and client side in the foregoing method embodiments. To avoid repetition, they will not be described one by one here.

[0064] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium. When executed, the computer program can include the processes of the embodiments of the above methods. Any references to memory, storage, databases, or other media used in the embodiments provided in this application can include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), dual data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), RAMbus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.

[0065] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the above-described division of functional units and modules is used as an example. In practical applications, the above functions can be assigned to different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above.

[0066] 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 present invention can be implemented in other specific forms without departing from the spirit or essential characteristics of the present invention.

[0067] Finally, it should be noted that in the above embodiments, each embodiment can be combined with each other or independent. Deleting any one of them will not affect the technical implementation of other embodiments. The above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention.

Claims

1. A method for testing the sensitivity tolerance of buttons in new energy vehicles, characterized in that, The method includes: The central control unit in the integrated testing system receives test commands from the buttons of new energy vehicles. The test commands include the button identifier, the number of test cycles, and the composite test scenario. The central control unit is used to drive the environmental simulation chamber and the six-degree-of-freedom motion platform in the integrated test system to achieve the environmental sub-scenes and dynamic sub-scenes set in the composite test scenario. In the environmental sub-scene and dynamic sub-scene, based on the button identifier under test, the number of test cycles, and the interaction parameters of the composite test scene, a sequence of touch operations performed by the bionic mechanical test arm on the button under test in the integrated test system is generated. Acquire test multi-source data of the button under test in the touch operation sequence to analyze the scenario-performance relationship of the button under test; Based on the scenario-performance relationship, the trigger success rate and performance degradation curve of the button under test under different composite test scenarios are analyzed to generate a sensitivity tolerance test report for the button under test.

2. The method for testing the sensitivity tolerance of buttons in new energy vehicles as described in claim 1, characterized in that, The analysis of the scenario-performance relationship of the button under test includes: Mark the test time window corresponding to a single test event for the button under test; Based on the multi-source test data corresponding to the button under test, the ambient temperature, vibration acceleration, real-time pressing force and response delay of the button under test in the test time window are analyzed respectively. Based on the ambient temperature and the vibration acceleration, the scene-performance coupling influence factor of the button under test is calculated using the following formula: in, Indicates the button to be tested is at the 1st digit. Scenario-performance coupling influencing factors within a test time window. Indicates the button to be tested is at the 1st digit. The average ambient temperature over the test time window. This indicates the reference ambient temperature of the button under test. This indicates the weighting coefficient for the temperature effect of the button being tested. Indicates the button to be tested is at the 1st digit. The root mean square value of vibration acceleration for each test time window. This represents the weighting coefficient for the vibration effect of the button under test. This represents the reference vibration acceleration of the button under test; The performance degradation index of the button under test is calculated based on the real-time pressing force and the response delay. By combining the scenario-performance coupling influencing factor and the performance degradation index, the scenario-performance relationship of the button under test is analyzed.

3. The method for testing the sensitivity tolerance of buttons in new energy vehicles as described in claim 2, characterized in that, The performance degradation index of the button under test is calculated based on the real-time pressing force and the response delay, including: The peak pressure of the button under test is marked in real time within the test time window corresponding to the button under test. Based on the response latency and the peak pressure, the performance degradation index of the button under test is calculated using the following formula: in, Indicates the button to be tested is at the 1st digit. Performance degradation index for each test time window Indicates the button to be tested is at the 1st digit. Response latency for each test time window, This represents the baseline response delay of the button under test. This represents the response delay weighting coefficient of the button under test. Indicates the button to be tested is at the 1st digit. Peak pressure intensity within each test time window This indicates the reference pressing force of the button under test. This represents the pressure weighting coefficient of the button being tested.

4. The method for testing the sensitivity tolerance of buttons in new energy vehicles as described in claim 1, characterized in that, The environmental simulation chamber and six-degree-of-freedom motion platform in the integrated test system are driven by the central control unit to achieve the environmental sub-scenes and dynamic sub-scenes set in the composite test scenario, including: Based on the environmental parameters of the composite test scenario, a first control command is generated for the environmental simulation chamber to drive the environmental simulation chamber to reach the environmental sub-scenario. Based on the dynamic parameters of the composite test scenario, a second control command is generated for the six-degree-of-freedom motion platform to drive the six-degree-of-freedom motion platform to reach the dynamic sub-scenario.

5. The method for testing the sensitivity tolerance of buttons in new energy vehicles as described in claim 4, characterized in that, Based on the environmental parameters of the composite test scenario, the first control command for the environmental simulation chamber is generated, including: Receive first feedback data from the environmental simulation chamber, wherein the first feedback data characterizes the real-time environmental state inside the environmental simulation chamber; The first feedback data and the environmental parameters are compared using the central control unit corresponding to the environmental simulation chamber to obtain a first comparison result; Based on the first comparison result, the first control command for the environmental simulation cabin is generated.

6. The method for testing the sensitivity tolerance of buttons in new energy vehicles as described in claim 4, characterized in that, Based on the dynamic parameters of the composite test scenario, a second control command is generated for the six-degree-of-freedom motion platform, including: Receive second feedback data from the six-degree-of-freedom motion platform, wherein the second feedback data characterizes the real-time motion state of the six-degree-of-freedom motion platform; The second feedback data and the environmental parameters are compared using the central control unit corresponding to the six-degree-of-freedom motion platform to obtain a second comparison result; Based on the second comparison result, a second control command is generated for the six-degree-of-freedom motion platform.

7. The method for testing the sensitivity tolerance of buttons in new energy vehicles as described in claim 1, characterized in that, In the environmental sub-scene and dynamic sub-scene, based on the identifier of the button under test, the number of test cycles, and the interaction parameters of the composite test scene, a sequence of touch operations performed by the bionic mechanical test arm on the button under test in the integrated test system is generated, including: Based on the identifier of the key to be tested, query the preset key information database to obtain the operation type of the key to be tested; Based on the interaction parameters, the basic touch actions of the button under test are constructed; Based on the operation type, the basic touch action is adaptively adjusted to obtain the adjusted touch action; The adjusted touch action is repeated a specified number of times through the test loop to generate a touch operation sequence executed by the button under test.

8. The method for testing the sensitivity tolerance of buttons in new energy vehicles as described in claim 7, characterized in that, The basic touch action is a single operation command that includes at least one of the following parameters: pressing pressure, pressing speed, pressing angle, holding time, and withdrawal waiting time.

9. The method for testing the sensitivity tolerance of buttons in new energy vehicles as described in claim 1, characterized in that, Based on the aforementioned scenario-performance relationship, the trigger success rate and performance degradation curve of the button under test are analyzed under different composite test scenarios, including: Set the effective trigger criteria for the button under test to determine the trigger success rate of the button under test in different composite test scenarios; Extract the performance degradation index sequence of the scenario-performance relationship; Based on the scenario-performance relationship, a scenario label is assigned to each data point in the performance degradation index sequence; Using the scene labels, the performance degradation curves of the button under test are constructed under different composite test scenarios.

10. A button sensitivity tolerance testing system for new energy vehicles, characterized in that, The system includes: The test instruction acquisition module is used to receive test instructions from the buttons of new energy vehicles using the central control unit in the integrated test system. The test instructions include the button identifier, the number of test cycles, and the composite test scenario. The test scenario construction module is used to drive the environment simulation chamber and the six-degree-of-freedom motion platform in the integrated test system through the central control unit to achieve the environmental sub-scenario and dynamic sub-scenario set by the composite test scenario. The touch operation determination module is used to generate a sequence of touch operations performed by the bionic mechanical test arm on the button under test in the integrated test system, based on the button identifier under test, the number of test cycles, and the interaction parameters of the composite test scenario, in the environmental sub-scene and dynamic sub-scene. The scenario-performance analysis module is used to acquire test multi-source data of the button under test in the touch operation sequence, so as to analyze the scenario-performance relationship of the button under test; The test report generation module is used to analyze the trigger success rate and performance degradation curve of the button under test under different composite test scenarios based on the scenario-performance relationship, so as to generate a sensitivity tolerance test report of the button under test.

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