Method, system and equipment for testing insulation detection precision of power battery and medium
By simulating insulation failure modes using a resistor array and constructing a programmable resistor array using a relay matrix, combined with insulation testing equipment to collect target insulation resistance values and calculate relative errors, the problem of insufficient detection accuracy in traditional methods is solved, and accurate assessment of power battery insulation testing is achieved.
Patent Information
- Application Number
- CN202511683176.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-11-17
- Publication Date
- 2026-02-17
AI Technical Summary
Traditional insulation testing methods for power batteries cannot simulate complex insulation faults under real-world operating conditions, resulting in significant errors in the insulation testing accuracy results.
Insulation failure modes are simulated by a resistor array. A programmable resistor array is constructed using a relay matrix to simulate single insulation failure points, multiple insulation failure points, and dynamic impedance change modes. The target insulation resistance value is collected by insulation testing equipment, and the relative error is calculated to evaluate the detection accuracy.
It enables objective and standardized evaluation of the insulation testing accuracy of power batteries under multiple operating conditions, accurately quantifies the deviation between the test results and the standard values, and improves the accuracy and reliability of the test.
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Figure CN121541079A_ABST
Abstract
Description
Technical Field
[0001] This application relates to the field of new energy vehicle power battery technology, specifically to a test method, system, equipment and medium for testing the insulation detection accuracy of power batteries. Background Technology
[0002] With the rapid development of new energy vehicles, the safety and reliability of power batteries have become a key focus of the industry. Among related technologies, insulation testing of battery packs is a crucial step in ensuring the safety of battery systems. However, traditional insulation testing accuracy methods cannot simulate complex insulation faults under real-world operating conditions, leading to significant errors in the test results.
[0003] Therefore, how to simulate complex insulation faults under real working conditions in order to accurately assess the insulation detection accuracy of power batteries is an urgent problem to be solved. Summary of the Invention
[0004] This application provides a test method, system, equipment, and medium for testing the insulation detection accuracy of power batteries, which can simulate complex insulation faults under real working conditions and achieve accurate evaluation of the insulation detection accuracy of power batteries.
[0005] In a first aspect, embodiments of this application provide a method for testing the insulation detection accuracy of a power battery, the method comprising: Insulation failure modes are simulated based on resistor arrays, and target insulation resistance values corresponding to the insulation failure modes are collected by insulation detection equipment. The relative error is determined based on the target insulation resistance value and the preset standard resistance value; The test results for the insulation detection accuracy of the power battery are determined based on the relative error.
[0006] In conjunction with the first aspect, in one implementation, the resistor array is constructed based on a relay matrix.
[0007] In conjunction with the first aspect, in one embodiment, the insulation failure mode includes a single insulation failure point mode, a multiple insulation failure point mode, and a dynamic impedance change mode.
[0008] In conjunction with the first aspect, in one embodiment, the resistor array-based simulation of insulation failure modes includes: The resistance value of the resistor array is set to a target value to simulate a single insulation failure point mode. The target value represents an insulation short circuit fault between the high-voltage circuit and the vehicle body. A composite resistance value is obtained by controlling the parallel connection of resistors through a relay matrix to simulate multiple insulation failure point modes; By adjusting the conduction state of the switching elements in the resistor array using preset modulation technology, the resistance value is switched to simulate dynamic impedance change mode.
[0009] In conjunction with the first aspect, in one implementation, determining the relative error based on the target insulation resistance value and a preset standard resistance value includes: Substituting the target insulation resistance value and the preset standard resistance value into the following calculation formula yields the relative error:
[0010] In the formula, The target insulation resistance value; The preset standard resistance value; This represents the relative error.
[0011] In conjunction with the first aspect, in one embodiment, the test result for determining the insulation detection accuracy of the power battery based on the relative error includes: If the relative error is less than the preset error threshold, the test result is determined to be that the insulation testing accuracy of the power battery corresponding to the insulation testing equipment meets the standard. If the relative error is not less than the preset error threshold, the test result is determined to be that the insulation detection accuracy of the power battery corresponding to the insulation detection equipment is not up to standard.
[0012] In conjunction with the first aspect, in one embodiment, prior to the step of simulating insulation failure modes based on a resistor array, the method further includes: The environment used to achieve accurate insulation testing of power batteries is controlled to be in a constant temperature and humidity state.
[0013] Secondly, embodiments of this application provide a testing system for the insulation detection accuracy of a power battery, the testing system comprising: A programmable resistor module is used to simulate insulation failure modes based on a resistor array and to collect the target insulation resistance value corresponding to the insulation failure mode through an insulation detection device. The error analysis module is used to determine the relative error based on the target insulation resistance value and the preset standard resistance value; The accuracy testing module is used to determine the test results of the power battery insulation detection accuracy based on the relative error.
[0014] Thirdly, embodiments of this application provide a testing device for the insulation detection accuracy of a power battery. The testing device includes a processor, a memory, and a testing program for the insulation detection accuracy of a power battery stored in the memory and executable by the processor. When the testing program for the insulation detection accuracy of a power battery is executed by the processor, it implements the steps of the testing method for the insulation detection accuracy of a power battery as described in any of the preceding claims.
[0015] Fourthly, embodiments of this application provide a computer-readable storage medium storing a test program for the insulation detection accuracy of a power battery, wherein when the test program for the insulation detection accuracy of a power battery is executed by a processor, it implements the steps of the test method for the insulation detection accuracy of a power battery as described in any of the preceding claims.
[0016] The beneficial effects of the technical solutions provided in this application include: By simulating various insulation failure modes using a resistor array, the insulation state of the battery pack can be more realistically reflected, enabling insulation detection accuracy testing under multiple operating conditions. The accuracy of the equipment itself is reflected by collecting target insulation resistance values corresponding to the insulation failure modes through insulation detection equipment. By calculating the relative error between the target insulation resistance value and the preset standard resistance value, the deviation between the test result and the standard value can be accurately quantified, achieving an objective and standardized evaluation of the power battery insulation detection accuracy. Finally, the accuracy of power battery insulation detection can be more accurately evaluated based on the relative error. Attached Figure Description
[0017] Figure 1 This is a flowchart illustrating an embodiment of the test method for detecting the insulation accuracy of power batteries according to this application. Figure 2 This is a schematic diagram of the operation process for the power battery insulation detection accuracy test in the embodiments of this application; Figure 3 This is a functional module diagram of an embodiment of the test system for detecting the insulation accuracy of power batteries in this application. Figure 4 This is a schematic diagram of the hardware structure of the testing equipment for detecting the insulation accuracy of power batteries involved in the embodiments of this application. Detailed Implementation
[0018] To enable those skilled in the art to better understand the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present application, and not all embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of the present application.
[0019] To make the objectives, technical solutions, and advantages of this application clearer, the embodiments of this application will be described in further detail below with reference to the accompanying drawings.
[0020] In a first aspect, embodiments of this application provide a method for testing the insulation detection accuracy of a power battery.
[0021] In one embodiment, reference is made to Figure 1 , Figure 1 This is a flowchart illustrating the first embodiment of the test method for the insulation detection accuracy of power batteries according to this application. Figure 1 As shown, the test methods for the insulation detection accuracy of power batteries include: Step S10: Simulate insulation failure modes based on resistor arrays, and collect the target insulation resistance value corresponding to the insulation failure mode through insulation detection equipment.
[0022] As an example, a resistor array is a circuit structure composed of multiple resistive elements arranged in a certain manner. In this embodiment, the resistor array refers to a programmable resistor array, which can be obtained by flexibly connecting the resistive elements in the resistor array through the switching control of a relay matrix. By adjusting different resistive elements in the programmable resistor array, different types of insulation failure modes can be simulated, thereby simulating multiple insulation failure modes. For different insulation failure modes, the actual measured resistance value (i.e., the target insulation resistance value) is collected by the insulation detection equipment. This value directly reflects the response capability of the insulation detection equipment to the simulated fault and is used to subsequently verify the response capability and detection accuracy of the insulation detection equipment under different insulation failure modes, so as to ensure the safety and reliability of electrical equipment.
[0023] Step S20: Determine the relative error based on the target insulation resistance value and the preset standard resistance value.
[0024] In this exemplary embodiment, the preset standard resistance value refers to the resistance value precisely calibrated in advance by a high-precision standard resistance network in a constant temperature and humidity laboratory environment. The standard resistance network preferably adopts a vacuum sealing process with a temperature drift coefficient of <5ppm / ℃. The relative error can quantify the degree of deviation between the measurement result and the standard value, and is an important indicator for evaluating the accuracy of insulation testing. Specifically, by comparing the actual measured target insulation resistance value with the preset standard resistance value, that is, by calculating the difference between the two and dividing the difference by the standard resistance value, the percentage of relative error is finally obtained. In this way, the performance of the insulation testing equipment and its reliability in practical applications can be accurately evaluated.
[0025] Step S30: Determine the test results of the power battery insulation detection accuracy based on the relative error.
[0026] As an example, in the embodiments of this application, the test results of the power battery insulation detection accuracy can be determined by judging the relationship between the relative error and the preset error threshold. By analyzing the relative error, the accuracy of the insulation detection equipment under different test conditions can be evaluated, thereby providing a basis for battery fault diagnosis and battery health management.
[0027] This application uses a resistor array to simulate various insulation failure modes, which can more realistically reflect the insulation state of the battery pack, enabling insulation detection accuracy testing under multiple operating conditions. The insulation detection equipment collects target insulation resistance values corresponding to the insulation failure modes to reflect the equipment's own accuracy. By calculating the relative error between the target insulation resistance value and the preset standard resistance value, the deviation between the test result and the standard value can be accurately quantified, achieving an objective and standardized evaluation of the power battery insulation detection accuracy. Finally, the accuracy of the power battery insulation detection can be more accurately evaluated based on the relative error.
[0028] Furthermore, in one embodiment, the resistor array is constructed based on a relay matrix.
[0029] As an example, a relay matrix is a circuit structure composed of multiple relays; in the embodiments of this application, constructing a resistor array based on a relay matrix refers to realizing the switching control of resistor elements through a group of relays. Each relay controls the connection or disconnection of one or more resistor elements, and different resistor combinations can be flexibly selected to construct the resistor array. Finally, various battery insulation failure modes are simulated based on the resistor array.
[0030] Furthermore, in one embodiment, the insulation failure mode includes a single insulation failure point mode, multiple insulation failure point modes, and dynamic impedance change mode.
[0031] In this embodiment, the insulation failure modes include a single insulation failure point (single-point grounding) mode, a multiple insulation failure point (multi-point leakage) mode, and a dynamic impedance change mode. These modes are used to simulate different types of insulation degradation or fault conditions. In the single insulation failure point mode, there is only one failure point in the battery insulation system, which may be caused by voltage surges, material aging, or local defects. In this case, the insulation impedance will show a single downward trend to reflect the impact of a single fault on the overall insulation performance. In the multiple insulation failure point mode, multiple locations in the insulation system fail simultaneously, which may be caused by the combined effects of temperature, humidity, or external environmental factors. The test results will show changes in multiple resistance values to simulate more complex fault scenarios. The dynamic impedance change mode refers to the change in the resistance value of the insulation material with time and environmental changes during battery use. This mode reflects the gradual degradation of insulation performance and is usually related to aging, load fluctuations, or long-term use. Continuous monitoring is required to observe the trend of resistance value changes. By simulating different insulation failure modes, the performance of battery insulation testing equipment under different modes can be comprehensively evaluated, providing multi-dimensional basis for battery safety assessment and health management.
[0032] Furthermore, in one embodiment, the simulation of insulation failure modes based on a resistor array includes: The resistance value of the resistor array is set to a target value to simulate a single insulation failure point mode. The target value represents an insulation short circuit fault between the high-voltage circuit and the vehicle body. A composite resistance value is obtained by controlling the parallel connection of resistors through a relay matrix to simulate multiple insulation failure point modes; By adjusting the conduction state of the switching elements in the resistor array using preset modulation technology, the resistance value is switched to simulate dynamic impedance change mode.
[0033] In an exemplary embodiment of this application, the target value represents the resistance value when there is an insulation short circuit fault between the high-voltage circuit and the vehicle body housing. It reflects the low-resistance path that leads to electrical contact when a fault occurs between the high-voltage circuit and the vehicle body housing, preferably 10kΩ. Specifically, the positive (or negative) terminal of the high-voltage circuit of the battery pack is connected to a 10kΩ resistor in a standard resistor network through a single relay, and the other end of the resistor is connected to the vehicle body housing (ground) to form a single-point short circuit path. The relay is closed by the industrial control computer so that the 10kΩ resistor is precisely connected between the positive terminal and the housing to simulate a short circuit fault to ground at a certain point in the high-voltage circuit (i.e., a single insulation failure point mode).
[0034] Under normal operating conditions, resistors are arranged with predetermined resistance values. To simulate multiple insulation failure points, a relay matrix can be used to control resistors at different locations to simulate multiple insulation failure points simultaneously. Specifically, the positive (or negative) terminal of the battery pack's high-voltage circuit is connected to multiple resistors (such as 10kΩ, 50kΩ, etc.) in a standard resistor network via multiple relays. The other ends of these resistors are then connected in parallel to the vehicle body shell (ground) to form a parallel equivalent path. The industrial control computer controls multiple relays to close simultaneously, so that the parallel equivalent resistance value of the resistors (such as the combined resistance of 10kΩ and 50kΩ in parallel is approximately 8.3kΩ) is connected between the positive terminal and the shell to simulate multiple insulation failure point modes.
[0035] It should be noted that preset modulation technology refers to a technique in communication or signal processing that modulates signals using preset or predetermined parameters. In this embodiment, pulse width modulation (PWM) technology is preferred. Corresponding modulation signals can be designed and generated using PWM technology. These signals determine the control logic and switching timing of switching elements (such as relay matrices, MOSFETs, etc.) in the resistor array. Specifically, the positive (or negative) terminal of the high-voltage circuit of the battery pack can be connected to a standard resistor network through a PWM-controlled MOSFET circuit. The MOSFET acts as an electronic switch, and its conduction time ratio (duty cycle) is controlled by the PWM signal generated by the industrial control computer to achieve millisecond-level dynamic switching of the resistance value from 1kΩ to 100kΩ to 1MΩ, thereby accurately simulating the dynamic impedance change mode. It should also be noted that automatic switching of the resistance value sequence can also be achieved through software such as LabVIEW or Simulink.
[0036] Further, in one embodiment, determining the relative error based on the target insulation resistance value and a preset standard resistance value includes: Substituting the target insulation resistance value and the preset standard resistance value into the following calculation formula yields the relative error:
[0037] In the formula, The target insulation resistance value; The preset standard resistance value; This represents the relative error.
[0038] As an example, in the embodiments of this application, the target insulation resistance value is... and the preset standard resistance value Substituting into the following formula, we obtain the relative error. :
[0039] Furthermore, in one embodiment, the test result for determining the insulation detection accuracy of the power battery based on the relative error includes: If the relative error is less than the preset error threshold, the test result is determined to be that the insulation testing accuracy of the power battery corresponding to the insulation testing equipment meets the standard. If the relative error is not less than the preset error threshold, the test result is determined to be that the insulation detection accuracy of the power battery corresponding to the insulation detection equipment is not up to standard.
[0040] As an example, in this embodiment, the specific value of the preset error threshold can be determined according to actual needs and is not limited here. For example, the preset error threshold can preferably be 1%. If the relative error is less than the preset error threshold, it means that the deviation between the measured value of the insulation testing equipment and the standard value is within an acceptable range, and the test result has high accuracy and reliability. In this case, the test result is determined to be that the insulation testing accuracy of the power battery corresponding to the insulation testing equipment meets the standard. If the relative error is not less than the preset error threshold, it means that the deviation between the measured value of the insulation testing equipment and the standard value exceeds the allowable error range. There may be systematic errors or external interference, and the accuracy of the test result is insufficient. In this case, the test result is determined to be that the insulation testing accuracy of the power battery corresponding to the insulation testing equipment does not meet the standard.
[0041] Furthermore, in one embodiment, the environment used to achieve the accuracy test of power battery insulation detection is controlled to be in a constant temperature and humidity state.
[0042] As an example, the test method for the insulation testing accuracy of the power battery of this application is conducted in a constant temperature and humidity laboratory environment. This environment precisely controls the temperature range (e.g., -40℃ to 85℃) and humidity range (e.g., 10% to 90%RH) to avoid external interference factors such as environmental humidity, battery voltage fluctuations, and parasitic capacitance. Combined with the real-time monitoring and automatic correction mechanism of temperature and humidity sensors, it ensures that the relative error between the accurate true value provided by the standard resistance network and the output value of the insulation testing equipment can fully reflect the accuracy of the equipment itself, rather than the influence of environmental variables. This achieves objective, standardized, and quantitative verification of the insulation testing accuracy of the power battery, thereby effectively solving the problem of unreliable accuracy assessment caused by environmental interference in traditional methods. Moreover, this experimental environment strictly covers the full range of fault scenarios required by ISO 6469-1 (the core safety standard for electric vehicles issued by the International Organization for Standardization ISO).
[0043] It should be noted that, referring to Figure 2As shown, the process begins with the insulation testing equipment undergoing a self-test to ensure its initial state is normal. Then, a standard resistance library is loaded to provide a reference for subsequent testing. Next, environmental parameters, including temperature, humidity, and air pressure, are measured. If these parameters do not meet requirements, a constant temperature chamber is activated until compliance is achieved. The test mode is then selected, and test parameters such as voltage, range, and sampling rate are set. After these operations, the insulation testing equipment is activated, and a simulated fault resistor is injected, with simultaneous measurement and data comparison analysis. If the relative error is not less than 1%, the three-electric calibration method is executed, the calibration matrix is updated, and the measurement and analysis are repeated. If the error is less than 1%, the test data is recorded, and it is determined whether the full-range test is complete. If not, the process switches to the next test point to continue testing. If complete, a test report is generated and the data is visualized. Finally, the process ends, forming a complete and closed-loop operational system for the accuracy testing of power battery insulation.
[0044] Secondly, embodiments of this application also provide a testing system for the insulation detection accuracy of power batteries.
[0045] In one embodiment, reference is made to Figure 3 , Figure 3 This is a functional module diagram of an embodiment of the testing system for detecting the insulation accuracy of power batteries according to this application. Figure 3 As shown, the testing system for the insulation detection accuracy of power batteries includes: A programmable resistor module is used to simulate insulation failure modes based on a resistor array and to collect the target insulation resistance value corresponding to the insulation failure mode through an insulation detection device. The error analysis module is used to determine the relative error based on the target insulation resistance value and the preset standard resistance value; The accuracy testing module is used to determine the test results of the power battery insulation detection accuracy based on the relative error.
[0046] Furthermore, in one embodiment, the programmable resistor module is specifically used for: The resistor array is constructed based on a relay matrix.
[0047] Furthermore, in one embodiment, the programmable resistor module is specifically used for: The insulation failure modes include single insulation failure point mode, multiple insulation failure point mode, and dynamic impedance change mode.
[0048] Furthermore, in one embodiment, the programmable resistor module is specifically used for: The resistance value of the resistor array is set to a target value to simulate a single insulation failure point mode. The target value represents an insulation short circuit fault between the high-voltage circuit and the vehicle body. A composite resistance value is obtained by controlling the parallel connection of resistors through a relay matrix to simulate multiple insulation failure point modes; By adjusting the conduction state of the switching elements in the resistor array using preset modulation technology, the resistance value is switched to simulate dynamic impedance change mode.
[0049] Furthermore, in one embodiment, the error analysis module is specifically used for: Substituting the target insulation resistance value and the preset standard resistance value into the following calculation formula yields the relative error:
[0050] In the formula, The target insulation resistance value; The preset standard resistance value; This represents the relative error.
[0051] Furthermore, in one embodiment, the accuracy testing module is specifically used for: If the relative error is less than the preset error threshold, the test result is determined to be that the insulation testing accuracy of the power battery corresponding to the insulation testing equipment meets the standard. If the relative error is not less than the preset error threshold, the test result is determined to be that the insulation detection accuracy of the power battery corresponding to the insulation detection equipment is not up to standard.
[0052] Furthermore, in one embodiment, the programmable resistor module is specifically used for: The environment used to achieve accurate insulation testing of power batteries is controlled to be in a constant temperature and humidity state.
[0053] It should be noted that the test system for power battery insulation detection accuracy in this application includes not only a programmable resistor module, an error analysis module, and an accuracy test module, but also a battery simulation voltage source and an industrial control computer. Specifically, the programmable resistor module has an internal structure containing a high-precision relay matrix and a standard resistor network. The programmable resistor module can be built using a Keysight 34980A relay matrix (DECISTIC 34980A multiplexer). The industrial control computer controls the on / off state of the relay matrix, dynamically switching specific resistance values in the standard resistor network to achieve accurate simulation of insulation failure modes such as single-point grounding (10kΩ±5%), multi-point leakage (parallel equivalent resistance value of resistors), and dynamic impedance changes (PWM control of MOSFET millisecond-level switching).
[0054] Understandably, the battery simulation voltage source (0-1000V adjustable) provides a stable and controllable test voltage, physically isolating the voltage fluctuations of the real battery and ensuring the consistency of the test environment; the industrial control computer, as the system control center, is responsible for fault model switching, data acquisition and recording, and integrates temperature and humidity sensors to achieve environmental compensation; the error analysis module is used to calculate the relative error between the output value of the insulation testing equipment and the true value of the standard resistor; the accuracy test module is used to determine the relationship between the relative error and the preset error threshold, so as to determine whether the accuracy of the insulation testing equipment meets the standard. When the relative error is less than the preset error threshold (1%), the accuracy of the insulation testing equipment is determined to meet the standard; otherwise, the calibration process is triggered.
[0055] This application uses a resistor array to simulate various insulation failure modes, which can more realistically reflect the insulation state of the battery pack, enabling insulation detection accuracy testing under multiple operating conditions. The insulation detection equipment collects target insulation resistance values corresponding to the insulation failure modes to reflect the equipment's own accuracy. By calculating the relative error between the target insulation resistance value and the preset standard resistance value, the deviation between the test result and the standard value can be accurately quantified, achieving an objective and standardized evaluation of the power battery insulation detection accuracy. Finally, the accuracy of the power battery insulation detection can be more accurately evaluated based on the relative error.
[0056] The functions of each module in the above-mentioned power battery insulation detection accuracy test system correspond to the steps in the above-mentioned power battery insulation detection accuracy test method embodiment, and their functions and implementation processes will not be described in detail here.
[0057] Thirdly, this application provides a testing device for the insulation detection accuracy of a power battery. The testing device for the insulation detection accuracy of a power battery can be a personal computer (PC), a laptop computer, a server, or other device with data processing capabilities.
[0058] Reference Figure 4 , Figure 4 This is a schematic diagram of the hardware structure of the testing equipment for detecting the insulation accuracy of a power battery, as described in an embodiment of this application. In this embodiment, the testing equipment for detecting the insulation accuracy of a power battery may include a processor, a memory, a communication interface, and a communication bus.
[0059] The communication bus can be of any type and is used to interconnect the processor, memory, and communication interface.
[0060] The communication interface includes input / output (I / O) interfaces, physical interfaces, and logical interfaces used for interconnecting internal components of the testing equipment to achieve accurate power battery insulation testing, as well as interfaces used for interconnecting the testing equipment with other devices (such as other computing devices or user equipment). Physical interfaces can be Ethernet interfaces, fiber optic interfaces, ATM interfaces, etc.; user equipment can be displays, keyboards, etc.
[0061] Memory can be various types of storage media, such as random access memory (RAM), read-only memory (ROM), non-volatile RAM (NVRAM), flash memory, optical storage, hard disk, programmable ROM (PROM), erasable PROM (EPROM), electrically erasable PROM (EEPROM), etc.
[0062] The processor can be a general-purpose processor, which can call the test program for power battery insulation detection accuracy stored in the memory and execute the test method for power battery insulation detection accuracy provided in the embodiments of this application. For example, the general-purpose processor can be a central processing unit (CPU). The method executed when the test program for power battery insulation detection accuracy is called can refer to the various embodiments of the test method for power battery insulation detection accuracy of this application, and will not be repeated here.
[0063] Those skilled in the art will understand that Figure 4 The hardware structure shown does not constitute a limitation of this application and may include more or fewer components than shown, or combine certain components, or have different component arrangements.
[0064] Fourthly, embodiments of this application also provide a readable storage medium.
[0065] The present application has a readable storage medium storing a test program for the insulation detection accuracy of a power battery, wherein when the test program for the insulation detection accuracy of a power battery is executed by a processor, the steps of the test method for the insulation detection accuracy of a power battery as described above are implemented.
[0066] The method implemented when the test procedure for the insulation detection accuracy of the power battery is executed can refer to the various embodiments of the test method for the insulation detection accuracy of the power battery in this application, and will not be repeated here.
[0067] The terms "comprising" and "having," and any variations thereof, in the specification, claims, and accompanying drawings of this application are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or apparatus that includes a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units not listed, or may optionally include other steps or units inherent to such process, method, product, or apparatus. The terms "first," "second," and "third," etc., are used to distinguish different objects, etc., and do not indicate a sequence, nor do they limit "first," "second," and "third" to different types.
[0068] In the description of the embodiments of this application, terms such as "exemplary," "for example," or "for instance" are used to indicate examples, illustrations, or explanations. Any embodiment or design described as "exemplary," "for example," or "for instance" in the embodiments of this application should not be construed as being more preferred or advantageous than other embodiments or designs. Specifically, the use of terms such as "exemplary," "for example," or "for instance" is intended to present the relevant concepts in a concrete manner.
[0069] In the description of the embodiments of this application, unless otherwise stated, " / " means "or". For example, A / B can mean A or B. The "and / or" in the text is merely a description of the relationship between related objects, indicating that there can be three relationships. For example, A and / or B can mean: A exists alone, A and B exist simultaneously, and B exists alone. In addition, in the description of the embodiments of this application, "multiple" means two or more.
[0070] In some processes described in the embodiments of this application, multiple operations or steps are included in a specific order. However, it should be understood that these operations or steps may not be executed in the order they appear in the embodiments of this application, or they may be executed in parallel. The sequence number of the operation is only used to distinguish different operations, and the sequence number itself does not represent any execution order. In addition, these processes may include more or fewer operations, and these operations or steps may be executed sequentially or in parallel, and these operations or steps may be combined.
[0071] It should be noted that the sequence numbers of the embodiments in this application are for descriptive purposes only and do not represent the superiority or inferiority of the embodiments.
[0072] Through the above description of the embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus necessary general-purpose hardware platforms. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) as described above, and includes several instructions to cause a terminal device to execute the methods described in the various embodiments of this application.
[0073] The above are merely preferred embodiments of this application and do not limit the patent scope of this application. Any equivalent structural or procedural transformations made using the content of this application's specification and drawings, or direct or indirect applications in other related technical fields, are similarly included within the patent protection scope of this application.
Claims
1. A method for testing the accuracy of insulation detection of a power battery, characterized in that, The method for testing the insulation detection accuracy of the power battery comprises the following steps: an insulation failure mode is simulated based on a resistance array, and a target insulation resistance value corresponding to the insulation failure mode is collected by an insulation detection device; a relative error is determined based on the target insulation resistance value and a preset standard resistance value; a test result of the insulation detection accuracy of the power battery is determined according to the relative error.
2. The method of claim 1, wherein the method further comprises: The resistance array is constructed based on a relay matrix.
3. The method of claim 2, wherein the method further comprises: The insulation failure mode comprises a single insulation failure point mode, a multiple insulation failure point mode and a dynamic impedance change mode.
4. The method of claim 3, wherein the power battery insulation detection precision test method is characterized in that, The insulation failure mode is simulated based on the resistance array, which comprises the following steps: a resistance value of the resistance array is set as a target value to simulate the single insulation failure point mode, wherein the target value represents an insulation short-circuit fault between a high-voltage circuit and a vehicle body shell; a composite resistance value is obtained by controlling the resistance in parallel through the relay matrix to simulate the multiple insulation failure point mode; a switching of the resistance value is realized by adjusting a conduction state of a switching element in the resistance array based on a preset modulation technique to simulate the dynamic impedance change mode.
5. The method of claim 1, wherein the method further comprises: The relative error is determined based on the target insulation resistance value and the preset standard resistance value, which comprises the following steps: the target insulation resistance value and the preset standard resistance value are substituted into the following calculation formula to obtain the relative error, wherein the calculation formula is: In the formula, is the target insulation resistance value; is the preset standard resistance value; is the relative error.
6. The method of claim 1, wherein the method further comprises: The test result of the insulation detection accuracy of the power battery is determined according to the relative error, which comprises the following steps: if the relative error is less than a preset error threshold, it is determined that the test result is that the insulation detection accuracy of the power battery corresponding to the insulation detection device meets the standard; if the relative error is not less than the preset error threshold, it is determined that the test result is that the insulation detection accuracy of the power battery corresponding to the insulation detection device does not meet the standard.
7. The method of claim 1, wherein the method further comprises: determining the voltage of the power battery; and determining the voltage of the power battery based on the voltage of the power battery and the voltage of the reference battery. Before the step of simulating the insulation failure mode based on the resistance array, the following step is further included: an environment for realizing the test of the insulation detection accuracy of the power battery is controlled to be in a constant temperature and humidity state.
8. A test system for testing the accuracy of insulation detection of a power battery, characterized in that, The test system of the insulation detection accuracy of the power battery comprises: a programmable resistance module for simulating the insulation failure mode based on the resistance array and collecting the target insulation resistance value corresponding to the insulation failure mode by the insulation detection device; an error analysis module for determining the relative error based on the target insulation resistance value and the preset standard resistance value; an accuracy test module for determining the test result of the insulation detection accuracy of the power battery according to the relative error.
9. A test device for testing the accuracy of insulation detection of a power battery, characterized in that, The test device of the insulation detection accuracy of the power battery comprises a processor, a memory and a test program of the insulation detection accuracy of the power battery stored on the memory and executable by the processor, wherein when the test program of the insulation detection accuracy of the power battery is executed by the processor, the steps of the test method of the insulation detection accuracy of the power battery according to any one of claims 1 to 7 are realized.
10. A computer-readable storage medium, characterized in that, The test program of the insulation detection accuracy of the power battery is stored on the computer readable storage medium, wherein when the test program of the insulation detection accuracy of the power battery is executed by the processor, the steps of the test method of the insulation detection accuracy of the power battery according to any one of claims 1 to 7 are realized.