20 results about "Critical test" patented technology

The invention relates to the technical field of batteries, in particular to a battery performance test method and device, electronic equipment, a storage medium and a program product. Obtaining each first test frequency and first test data corresponding to each first test frequency, which are obtained after the target battery is subjected to charge-discharge cycle tests for preset times under a preset pre-tightening force working condition; based on the first test data corresponding to each first test frequency, predicting test data corresponding to a second test frequency of the target battery after the preset frequency, and generating preset test data; obtaining second test data obtained after the target battery is subjected to a second number of charge-discharge cycle tests; according to the preset test data and the second test data, determining that the second test frequency is the critical test frequency corresponding to the performance critical value of the target battery; the accuracy of the determined critical test times is ensured, whether the target battery meets the specification or not can be detected, calculation is convenient, and universality is high.

The invention provides a method, device and equipment for generating a test case based on a large language model, and the method comprises the steps: obtaining a test demand of the test case, analyzing the test demand, and obtaining the type, the application field, the business process and the first key test information of the test case; on the basis of the type of the test case, the application field, the business process and the first key test information, constructing a cue word for generating the test case; and based on the cue word, adopting a pre-trained large language model to generate a test case. According to the method and the device, the cue word is constructed by considering the application field and the business process to which the test case belongs, so that the large language model can construct the test case in combination with knowledge information of the application field and context constraints of related business processes, and the generated test case naturally conforms to system business logic and a state machine contract; and seamless embedding with the existing system is realized.

The invention discloses a hardware-in-the-loop automatic test method and system, and the method comprises the steps: receiving a technical specification document and a historical failure case library of a tested device, analyzing a technical specification through a natural language processing model to extract key test parameters, carrying out the correlation analysis of the key test parameters and a fault mode in the historical failure case library, and obtaining a fault mode of the tested device; generating a structured test demand table, wherein the structured test demand table comprises test target priorities, constraint conditions and boundary value definitions; based on the structured test demand table and equipment working condition data acquired in real time, generating a plurality of test cases covering boundary conditions and extreme working conditions by using a genetic algorithm; the test cases covering the boundary conditions and the extreme working conditions are screened out from the multiple test cases to obtain a test case sequence, and each case in the test case sequence comprises a fault injection parameter, an expected response threshold value and an execution priority label. According to the method and system, the test coverage rate and efficiency are improved, and manual intervention is reduced.

The invention relates to the technical field of batteries, in particular to a battery energy efficiency value prediction method. In one aspect, the invention provides a battery energy efficiency value prediction method, and the method comprises the steps: obtaining a critical test frequency corresponding to a target battery under a preset working condition; obtaining to-be-predicted test times corresponding to the target battery; comparing the number of tests to be predicted with the number of critical tests; according to a comparison result, predicting predicted charging capacity, predicted discharging capacity, predicted charging energy and predicted discharging energy corresponding to the number of to-be-predicted test times; and inputting the number of to-be-predicted test times, the predicted charging capacity, the predicted discharging capacity, the predicted charging energy and the predicted discharging energy into a target energy efficiency value preset model corresponding to the number of to-be-predicted test times, and outputting a predicted energy efficiency value corresponding to the number of to-be-predicted test times. The accuracy of the predicted energy efficiency value corresponding to the output predicted test times is ensured, so that the energy efficiency value of the target battery is predicted.

The invention belongs to the technical field of automobile testing, and provides an intelligent automobile authentication testing method and system based on cooperation of multiple laws and regulations. According to the technical scheme, data obtained through analysis are stored according to a hierarchical storage architecture to obtain a multi-laws and regulation database; constructing an association knowledge graph of the vehicle parameters and the regulation test items, and traversing the test items matched with the core attribute parameters of the vehicle type to be tested in the knowledge graph; dynamically adjusting the weight of each test item according to the priority of the target market, and obtaining a test list according to the screening associated with the test items; acquiring real-time feedback data of each test item in the test list, calling a test parameter configuration strategy corresponding to the target area, and adjusting configuration parameters based on the real-time feedback data and the corresponding test parameter configuration strategy; and training the constructed compliance risk prediction model, predicting the configured test parameters based on the trained compliance risk prediction model, and generating a critical test condition conforming to the law and regulation boundary conditions. And the test of multi-regulation scenes is met.

The present application relates to the field of equipment testing technology, and in particular to a method, medium and device for determining the priority of a test device. The method comprises: receiving a key test instruction uploaded by any test device, obtaining key skills and corresponding skill requirement information, obtaining a historical test instruction matrix Z; then obtaining a scoring matrix ZD; according to ZD, obtaining a sub-priority list P; if P x If the value is less than or equal to the preset sub-priority threshold, then P is obtained. x Corresponding associated preset skill list PG x According to PG x and ZD, get the associated preset skill sub-priority list PGA x If P x 0 >P x , then P x Replace with P x 0 ; According to P, the test device priority Y is obtained; and the order of issuing the corresponding target test instructions is determined according to Y. The present application can detect problems of the device under test in advance, so that the entire test process can be carried out in an orderly manner.

The invention relates to a method for generating a safety argument for the road approval of a driver assistance system (ADAS / ADS), comprising: - Generating a plurality of test cases (T i ) and creating a test case space (430) using a parameter module (400); - Performing a simulation of the behavior of the ADAS / ADS system in a test case (T i ) specific simulation environment; - Evaluating the simulation results to derive a binary criticality indicator for the tested test case (T t ) to determine and create a scenario parameter space (440) for the tested test cases (T t ); - Determining a system boundary in the scenario parameter space (440) between the critical test cases (T crit ) and the non-critical test cases (T right ) using a search algorithm; - Identifying a variety of specific scenarios (SZci ) from data from real test drives in real traffic; - Analyze whether an identified specific scenario (SZc) i ) lies in a critical or non-critical area of ​​the scenario parameter space (440); - Calculating characteristic values ​​for the probability of occurrence of a critical system behavior of the ADAS / ADS system during a normalized time or distance interval while driving a route from the analysis results.

An Advanced Modular Test Bench for Industry (100) comprising a Compartment (110) that acts as the structural framework housing the internal components, a Cover (120) that secures the components inside the enclosure, a Connection Board (130) that facilitates the interconnection of modules and devices under test (DUT), a Visual Interface (140) that provides an interactive interface for test programming and real-time data visualization, a plurality of Test Terminals (150) that allow direct connection of devices under test (DUT), Switches (160) that provide manual control over critical test bench functions, a Control Base (200) that supports electronic components, a Power Supply (220), and Control Terminals (230) that enable the connection between control elements, test terminals (150), and switches (160).

This invention relates to the field of testing technology, and in particular to a testing device for quantum dot film fabrication. The device includes a friction testing machine, a pen holder, and a loading arm. The friction testing machine has a fixed base on its top for fixing the test piece. The fixed base has opposing clamping components for centering and aligning the test piece. A sweeping cleaning component is located at the bottom of the sliding guide block for blowing air to clean the surface of the test piece. This invention ensures that the clamping forces applied from all sides of the sample are completely symmetrical and act simultaneously through the opposing clamping components, improving the accuracy of friction resistance testing for quantum dot film products. Relying on the mechanical coupling between the sweeping cleaning component and the opposing clamping component, the critical testing area is purged instantly upon sample fixation, efficiently removing dust contamination. The use of a circumferential locking component greatly improves the accuracy of load control, forcing the geometric center of the weight to coincide with the mechanical axis of the loading arm.

The invention provides an automatic driving simulation test method for scene automatic generation, and belongs to the technical field of automatic driving, and the method comprises the steps: loading a preset file to configure an executable initial scene set; collecting camera and LiDAR sensor data and vehicle state data on a CARLA simulation platform based on an unreal engine; after the data are preprocessed, a comfort index and a safety index are calculated; constructing a fitness function with hard constraint by using the index matrix, and realizing search by combining genetic algorithm global exploration and neighborhood disturbance local optimization; restarting the process from an unexplored area when continuous ten generations are not optimized and improved; and finally outputting a minimum uncomfortable triggering scene set, a high-risk safety violation scene set and a reproducible experiment package containing scene files, parameters and the like. According to the invention, 'safety-comfort 'two-dimensional evaluation is realized, the test cost is greatly reduced, the evaluation comprehensiveness and reliability are improved, and key test support is provided for landing of automatic driving.

The invention discloses a critical characteristic test method of a superconducting tape under multiple deformation modes, comprising: selecting the multiple deformation mode of the superconducting tape to be tested; if the bending deformation mode is selected, further selecting the curvature specification, fixing the component that meets the current specification at the lower end of the G10 pull rod three, selecting a whole strip of appropriate length to perform a critical test of the bending deformation, and performing online stress adjustment; if the stretching and twisting deformation mode is selected, selecting the stretching and torsion angle specifications of a replaceable clamping component, fixing the replaceable clamping component that meets the angle specification at the lower end of the G10 pull rod three, and selecting two strips of appropriate length to perform a critical test of the stretching and twisting deformation; the invention finds the error value caused by the thermal stress disturbance by setting an axisymmetric structure and comparing and observing the stress difference between the superconducting tape without current loading and the superconducting tape with current loading, thereby eliminating the interference factors in the superimposed stress and improving the accuracy of the stress test.

The invention provides a BMS controller detection method and related equipment, and is suitable for the technical field of battery detection, and the method comprises the steps: carrying out the random sampling of an operation parameter group according to the joint probability distribution data of a historical operation data set, and obtaining a first test parameter group set, performing parameter group screening and simulation testing on the first test parameter group set according to a critical parameter group set to generate a critical test operation data set, determining critical probability distribution data according to the critical test operation data set, and performing random sampling of operation parameter groups according to the critical probability distribution data to obtain a second test parameter group set, and performing simulation test on the BMS controller according to the second test parameter set to obtain second operation response data, and performing weighted aggregation and statistical analysis on the second operation response data according to the joint probability distribution data and the critical probability distribution data to generate critical detection data. According to the invention, the critical failure probability of the BMS controller can be quantified efficiently and reliably.

This application relates to a dynamic scheduling method, apparatus, device, and storage medium based on task priority. The dynamic scheduling method based on task priority includes: using a multi-dimensional evaluation algorithm to dynamically prioritize test tasks to obtain their task priorities; acquiring indicator data for each test node; obtaining full-dimensional structured resource status data based on the indicator data; and obtaining a task scheduling strategy based on the task priorities and the full-dimensional structured resource status data. By introducing a dynamic scheduling mechanism based on task priority, this application can adjust the execution order and resource allocation of test tasks in real time according to factors such as the urgency of test tasks, resource requirements, and project schedule. This dynamic scheduling method can significantly improve the utilization rate of test resources, ensure the priority execution of critical test tasks, and thus improve overall testing efficiency and project delivery quality.

The invention discloses a test case processing method and device, equipment and a storage medium, and relates to the technical field of tests.The test case processing method comprises the steps that to-be-processed test case data is subjected to data screening, and key signals are obtained; performing format conversion on the key signal based on the meaning of the key signal to obtain key test case data; performing test case segmentation on the key test case data to obtain multiple segments of target format data; and inputting the multi-section target format data into a preset large model to carry out test case intention extraction and rule extraction to obtain a test intention and a test rule of the key test case. Through the processing, the intention of the test case and the followed rule can be more accurately understood, and then the processing efficiency and accuracy of the test case are improved.

This application provides a resilient testing method and apparatus for unmanned systems, relating to the field of artificial intelligence technology. Step 1: Input the initial test cases of the proxy prediction model corresponding to the actual system under test into the criticality prediction model to determine the criticality score of the initial test cases; Step 2: Determine key test cases from the initial test cases based on the criticality score and criticality threshold, and predict test deviations based on the actual test cases and key test cases of the actual system under test; Step 3: Correct the criticality prediction model based on the test deviations while collecting actual test cases online to generate an updated criticality prediction model; Step 4: Repeat steps 1-3 using the updated criticality prediction model according to the preset maximum number of tests to determine the final key test cases. This improves the resilience of intelligent testing technology in testing different models of unmanned systems and enables rapid optimization and adaptation of the test case library.

The invention discloses a method for testing a heating rod for a CHF test, and belongs to the field of nuclear power. The method comprises the following steps: providing a simulation test environment for a heating rod, carrying out a transient test by taking a first environment parameter as an initial state, carrying out a critical test by taking a second environment parameter as an initial state, carrying out a steady-state test under a third environment parameter, and finally carrying out a heat balance test. According to the method, the test sequence of the heating rods is reasonably arranged, so that frequent disassembly, assembly and transformation of a test device are avoided, and the test efficiency is improved; and meanwhile, aging treatment on the heating rod is realized by utilizing the influence of a preorder test on the state of the heating rod, so that the repeatability and the accuracy of a test result are improved.

This invention relates to a subjective and objective fusion criticality quantification method for complex testing scenarios of intelligent vehicles. The method includes processing a complex testing scenario dataset, employing a subjective and objective fusion criticality quantification method, and using a soft clustering algorithm to quantify the criticality of the testing scenarios. First, the method integrates subjective driver evaluation and objective risk field quantification to assess the criticality of complex testing scenarios. Second, the soft clustering method addresses the imbalance in sample size, improving efficiency while reducing labor costs. This invention can determine the testing value and necessity of complex testing scenarios and identify scenarios with high testing value. This invention provides a research foundation for the extraction and generation of critical testing scenarios.

The application discloses a narrow rectangular channel boiling critical test section under motion condition with local heat flow concentration, which adopts direct current power single-side electric heating and comprises a compression glass window, compression bolts, an outer glass window, an inner glass window, a rectangular narrow slit flow channel, a heating plate assembly, upper and lower pressure bearing shells, a flow channel inlet, a flow channel outlet, an inlet electrode assembly and an outlet electrode assembly. The test section changes the regional resistance by adjusting the thickness of the heating plate part area, thereby changing the regional distribution voltage and power, and realizes the heat flow local concentration effect. The compression glass assembly, the outer window, the air gap and the inner window jointly form a visual window for observing the experimental phenomena. The test device can complete the visual test of the rectangular narrow slit channel boiling critical under the condition of the middle-low pressure heat flow local concentration.

The invention relates to a method for determining the critical system boundaries of an advanced driver assistance system (ADAS) and / or an automated driving system (ADS) with at least one driving function, in particular for testing, applying and verifying the ADAS / ADS system, comprising: - Generating a plurality of test cases (T i ) from a test module (300) with a test agent (350) for a parameterized scenario (SZp) i ); - Creating a test case space (430) with the generated test cases (T i ) by a parameter module (400); - Performing a simulation of the behavior of at least one driving function of the ADAS / ADS system in a test case (T i ) specific simulation environment from a simulation module (500), where the simulation is only for a subset of the test cases (T i ) is performed in the test case space (430); - Evaluating the simulation results so that a test case (T t ) either as a critical test case (T crit ) or as a non-critical test case (T right ) is classified; - Creating a scenario parameter space (440) for the tested test cases (T t ); - Determining a system boundary in the scenario parameter space (440) between the critical test cases (T crit ) and the non-critical test cases (T right ) using a search algorithm; - Generating new test cases (T new ) at the system boundary in the scenario parameter space (440).

A computer-implemented method provides for terminating a scenario-based test process of a driver assistance system. The test process comprises a cycle and includes determining critical test cases and parameter combinations thereof. The method includes: performing at least one test of the driver assistance system after each iteration n of the cycle and determining a set of critical test cases; establishing, on that basis, a distance between a first set of critical test cases in the iteration n and a second set of critical test cases from the iteration n−1 or a distance between the first set of critical test cases in the iteration n and a predefined set of critical test cases; and terminating or continuing the cycle of the test process on the basis of a difference between the distance between the first set and the second set and a preset limit.