Insulation fault position detection method and device, medium and vehicle

Abstract

The invention relates to the technical field of circuit control, provides an insulation fault detection method and device, a medium and a vehicle, and aims to solve the problem that whether insulation fault characterization of an insulation value detected through single-calibration threshold evaluation is uncertain or not. Obtaining a parameter value of the first parameter group and a parameter value of the second parameter group; acquiring a first reference resistance value according to the first parameter group, and acquiring a second reference resistance value according to the second parameter group; when the insulation resistance value is smaller than the first reference resistance value and smaller than the second reference resistance value, whether an insulation fault exists in the battery pack or not is judged according to the state of the battery pack and the change of the insulation resistance value. According to the method, a plurality of reference values are provided for comprehensive judgment, meanwhile, different working conditions during detection are eliminated, and misjudgment is avoided.

Description

Technical Field

[0001] The present application relates to the technical field of circuit control, and specifically provides an insulation fault detection method, device, medium and vehicle. Background Art

[0002] Testing electric vehicles places high demands on electrical insulation, especially in the power battery pack. Deterioration in insulation can create a short circuit risk, jeopardizing vehicle safety. Conventional vehicle insulation testing circuits are subject to numerous factors affecting the resistance value, leading to significant fluctuations in resistance under varying operating conditions. This presents significant challenges in monitoring and diagnosing power battery pack insulation. Evaluating the insulation value using a single, calibrated threshold is inherently uncertain in determining insulation failure.

[0003] Accordingly, a new insulation fault detection solution is needed in the art to solve the above problems. Summary of the Invention

[0004] In order to overcome the above-mentioned defects, the present application is proposed to provide a solution or at least partially solve the technical problem of how to more accurately detect insulation faults in electric vehicles.

[0005] In a first aspect, the present application provides an insulation fault detection method, which includes: measuring the insulation resistance value, obtaining the parameter value of the first parameter group and the parameter value of the second parameter group; obtaining a first reference resistance value based on the first parameter group, and obtaining a second reference resistance value based on the second parameter group; when the insulation resistance value is less than the first reference resistance value and the insulation resistance value is less than the second reference resistance value, judging whether the battery pack has an insulation fault based on the state of the battery pack and the change in the insulation resistance value.

[0006] In a technical solution of the above-mentioned insulation fault detection method, the first parameter group includes the cumulative charging time, cumulative discharging time, cumulative standing time, battery health (SOH) and battery temperature of the battery pack; the second parameter group includes the cumulative charge and discharge amount, battery health (SOH) and battery temperature of the battery pack.

[0007] In one technical solution of the above-mentioned insulation fault detection method, judging whether the battery pack has an insulation fault based on the state of the battery pack and the change in the insulation resistance value includes: when the battery pack is in a first state, and it is detected within a preset time period that the insulation resistance value is greater than or equal to the first reference resistance value or the insulation resistance value is greater than or equal to the second reference resistance value, judging that the battery pack does not have an insulation fault, and marking the battery pack with an abnormal recovery identifier.

[0008] In one technical solution of the above-mentioned insulation fault detection method, judging whether the battery pack has an insulation fault based on the state of the battery pack and the change in the insulation resistance value also includes: when the battery pack is in a first state and an abnormal recovery mark is present in the battery pack within a first time period before executing the insulation fault detection method, judging that the battery pack does not have an insulation fault.

[0009] In one technical solution of the above-mentioned insulation fault detection method, judging whether the battery pack has an insulation fault based on the state of the battery pack and the change in the insulation resistance value also includes: when the battery pack is in a first state, and the insulation resistance is not a constant value when changing with the power of the first state within a preset time period, judging that the battery pack does not have an insulation fault; when the battery pack is in the first state, and the insulation resistance is a constant value when changing with the power of the first state within a preset time period, judging that the battery pack has an insulation fault.

[0010] In one technical solution of the above-mentioned insulation fault detection method, judging whether the battery pack has an insulation fault according to the state of the battery pack and the change in the insulation resistance value includes: when the battery pack is in the second state and the insulation resistance value is detected to be greater than or equal to the first reference resistance value or the insulation resistance value is greater than or equal to the second reference resistance value within a preset time period, judging that the battery pack does not have an insulation fault and marking the battery pack with an abnormal recovery identifier; when the battery pack is in the second state and the insulation resistance value remains less than the first reference resistance value and the insulation resistance value is less than the second reference resistance value within a preset time period, judging that the battery pack has an insulation fault.

[0011] In one technical solution of the above-mentioned insulation fault detection method, judging whether the battery pack has an insulation fault based on the state of the battery pack and the change in the insulation resistance value also includes: when the battery pack is in the second state and the battery pack has the abnormal recovery mark within a first time period before executing the insulation fault detection method, judging that the battery pack does not have an insulation fault.

[0012] In one technical solution of the above-mentioned insulation fault detection method, judging whether the battery pack has an insulation fault based on the state of the battery pack and the change in the insulation resistance value also includes: when the battery pack is in the second state and connected to an external device, the insulation resistance value is less than the insulation fault threshold within a preset time period, and an alarm signal is issued.

[0013] In a technical solution of the above insulation fault detection method, the insulation fault detection method further includes: when the insulation resistance value is less than the first reference resistance value or the resistance value is less than the second reference resistance value, obtaining status data of the battery pack.

[0014] In a second aspect, a control device is provided, which includes at least one processor and at least one storage device, wherein the storage device is suitable for storing multiple program codes, and the program codes are suitable for being loaded and run by the processor to execute the insulation fault location detection method described in any one of the technical solutions of the above-mentioned insulation fault location detection method.

[0015] In a third aspect, a computer-readable storage medium is provided, which stores a plurality of program codes, wherein the program codes are suitable for being loaded and run by a processor to execute the insulation fault location detection method described in any one of the technical solutions of the above-mentioned insulation fault location detection method.

[0016] In a fourth aspect, a vehicle is provided, comprising the control device described in the above-mentioned control device technical solution.

[0017] The above one or more technical solutions of this application have at least one or more of the following beneficial effects:

[0018] In implementing the technical solution of the present application, the insulation fault detection method of the present application avoids the error of insulation judgment caused by a single standard. It not only provides multiple reference values ​​for comprehensive judgment, but also eliminates different working conditions during detection to avoid misjudgment. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] The disclosure of this application will be more easily understood with reference to the accompanying drawings. Those skilled in the art will readily appreciate that these drawings are for illustrative purposes only and are not intended to limit the scope of protection of this application. Furthermore, similar numbers in the figures represent similar components, where:

[0020] Figure 1 This is a flow chart of the main steps of the battery pack insulation fault detection method according to the present application;

[0021] Figure 2 This is a flowchart of steps according to another embodiment of the battery pack insulation fault detection method of the present application;

[0022] Figure 3 This is a flowchart of steps according to another embodiment of the battery pack insulation fault detection method of the present application;

[0023] Figure 4 It is a flowchart of the main steps of the battery pack insulation fault detection method according to the present application. DETAILED DESCRIPTION

[0024] Some embodiments of the present application are described below with reference to the accompanying drawings. Those skilled in the art should understand that these embodiments are only used to explain the technical principles of the present application and are not intended to limit the scope of protection of the present application.

[0025] In the description of this application, "module" and "processor" may include hardware, software, or a combination of both. A module may include hardware circuitry, various suitable sensors, communication ports, and memory. It may also include software components, such as program code, or a combination of software and hardware. A processor may be a central processing unit, a microprocessor, an image processor, a digital signal processor, or any other suitable processor. A processor has data and / or signal processing capabilities. A processor may be implemented in software, hardware, or a combination of both. Non-transitory computer-readable storage media include any suitable medium capable of storing program code, such as magnetic disks, hard disks, optical disks, flash memory, read-only memory, random access memory, etc. The term "A and / or B" refers to all possible combinations of A and B, such as only A, only B, or both A and B. The terms "at least one of A or B" or "at least one of A and B" have similar meanings to "A and / or B" and may include only A, only B, or both A and B. The singular forms "a" and "the" may also include the plural forms.

[0026] like Figure 1 , the insulation fault detection method of the battery pack includes:

[0027] Step 1: Measure the insulation resistance value and obtain the parameter values ​​of the first parameter group and the parameter values ​​of the second parameter group. In this step, the insulation resistance value can be measured using the insulation sampling circuit provided in the battery pack to detect the insulation resistance of the battery pack end. Common circuits used include the bridge method.

[0028] Step 2: Obtain two different reference resistance values ​​according to two different parameter groups.

[0029] Specifically, a first reference resistance value is obtained according to a first parameter group, and a second reference resistance value is obtained according to a second parameter group; the first parameter group includes multiple different parameters, and the second parameter group also includes multiple different parameters, and there should be at least one different parameter between the first parameter group and the second parameter group.

[0030] Specifically, the scheme for obtaining the first reference resistance value by the first parameter group includes: establishing a multidimensional array based on the values ​​of different parameters stored in the cloud data platform and the measured insulation resistance value, using a multidimensional table lookup method to approximately match the values, or calculating it based on an interpolation formula established by fitting a smooth curve based on the multidimensional array.

[0031] Furthermore, the multidimensional array is obtained by summarizing and screening the values ​​of different parameters of the power battery pack in the cloud data platform and the measured insulation resistance values. Specifically, the battery pack connected to the cloud data platform will transmit the collected values ​​of different parameters and the measured actual resistance values ​​to the platform in real time, summarize the parameters belonging to the first parameter group corresponding to different actual resistance values, and set the data confidence interval.

[0032] The scheme for obtaining the second reference resistance value of the second parameter group is similar to the above one. Specifically, the data screening criteria used may be different; however, the biggest difference between the two is that there should be at least one different parameter between the first parameter group and the second parameter group.

[0033] The two reference resistance values ​​obtained above are used to compare with the insulation resistance value measured in real time, and whether an insulation fault exists is determined based on the comparison result.

[0034] Step 3: When the insulation resistance value is less than the first reference resistance value and the insulation resistance value is less than the second reference resistance value, the diagnosis phase is entered. In the diagnosis phase, whether the battery pack has an insulation fault is determined based on the battery pack status and the insulation resistance value change.

[0035] Specifically, only when the insulation resistance value is less than the first reference resistance value and the second reference resistance value at the same time will it be determined that the battery may have an insulation fault, so as to further determine whether the battery has an insulation fault.

[0036] Specifically, in this step, changes in the insulation resistance value will be continuously observed, such as whether the insulation resistance value recovers within a preset time, or other phenomena that can rule out the existence of an insulation fault occur. In particular, for different current usage states of the battery pack, the phenomena that can be considered to rule out insulation faults are also different.

[0037] Compared to existing technologies, the insulation fault detection method of the above embodiment uses the results of two different models as the standard for the insulation resistance value detected, thus avoiding the variable differences that could be expected from a single standard. Furthermore, in the subsequent judgment process, the current state of the battery pack is comprehensively considered, and the insulation resistance value measured in real time is continuously compared with the results of the two models. Changes in the comparison results can be used to make a stricter definition of insulation faults.

[0038] Specifically, the first parameter group includes the cumulative charging time, cumulative discharging time, cumulative standing time, battery health (SOH), and battery temperature; the second parameter group includes the cumulative charge and discharge amount of the battery pack, battery health (SOH), and battery temperature.

[0039] The battery pack's cumulative charge time and cumulative discharge time are the total time the battery pack has input external power and the total time it has output external power in various forms. The battery pack's cumulative rest time is the total time the battery pack has not discharged any connected electrical equipment. Battery health (SOH) refers to the ratio of the battery pack's capacity in its current state to its initial full capacity. The battery temperature is measured by the temperature sensor within the battery pack during this insulation fault detection. The cumulative charge and discharge capacity is the total amount of electrical energy released by the battery pack.

[0040] Furthermore, when the battery pack undergoes any of the insulation fault detection methods of the present invention, there will be no significant difference in the values ​​of the first and second parameter groups, such as the cumulative static time, between each subsequent insulation fault detection method. Therefore, during a single insulation fault detection method, the first and second reference resistance values ​​can be constant reference values, i.e., the first and second reference resistance values ​​obtained initially based on the first and second parameter groups in that test. However, over the entire lifecycle of the battery pack, the first and second parameter groups will vary between different insulation fault detection methods: the obtained first and second parameter groups will differ, and consequently, the first and second reference resistance values ​​obtained based on the first and second parameter group values ​​will also vary accordingly. Therefore, the first and second reference resistance values ​​will not be consistently greater or less than each other; that is, the difference between the first and second reference resistance values ​​is uncertain. Therefore, the smaller of the first and second reference resistance values ​​cannot be compared using only the reference resistance value.

[0041] It should be understood that, although it is proposed above that the first reference resistance value and the second reference resistance value can be constant reference values ​​when performing a primary insulation fault detection method; but if necessary, when performing a primary insulation fault detection method, the first reference resistance value and the second reference resistance value can also be obtained based on the real-time first parameter group and second parameter group values, or can be obtained based on the first parameter group and second parameter group values ​​at certain time intervals. In such a scheme, more consideration is given to the fact that the values ​​of the first parameter group and the second parameter group may undergo certain changes as the detection process proceeds, and the first reference resistance value and the second reference resistance value will also be adjusted accordingly. This scheme will make the judgment result more accurate.

[0042] As an embodiment of the present invention, Figure 2 As shown, during the diagnosis stage, the battery pack is in the first state. Within the preset time period, when it is detected that the insulation resistance value is greater than or equal to the first reference resistance value or the resistance value is greater than or equal to the second reference resistance value, it is determined that there is no insulation fault in the battery pack.

[0043] That is, in the first state, the state in which the insulation resistance value is less than the first reference resistance value and less than the second reference resistance value is restored within a limited time. The sign of recovery is that a situation greater than or equal to one of the reference resistance values ​​is detected, that is, the insulation fault of the battery pack is considered to be eliminated; if there is no recovery, it is determined that the insulation fault of the battery pack exists.

[0044] As one embodiment of the present invention, if the insulation resistance value recovers from being less than both the first reference resistance value and the second reference resistance value, even if the insulation resistance value again becomes less than both the first reference resistance value and the second reference resistance value within a certain period of time after executing the insulation fault detection method of the present invention, the subsequent insulation fault will not be determined to be an insulation fault. From the current detection perspective, that is, if the insulation resistance value is detected to be less than both the first reference resistance value and the second reference resistance value, and if the insulation resistance value has recovered from being less than both the first reference resistance value and the second reference resistance value within a certain period of time before, the possibility of an insulation fault can be ruled out.

[0045] The length of the subsequent certain period of time and the previous certain period of time is taken as the first period of time. Optionally, the first period of time is 3 to 5 days.

[0046] Specifically, the solution adopted when identifying the above-mentioned recovery situation may be that when the insulation resistance value of the battery pack is greater than or equal to the first reference resistance value or the resistance value is greater than or equal to the second reference resistance value within a preset time period before executing the fault detection method of the present invention, the battery pack is identified as having no insulation fault and an abnormal recovery mark is marked on the battery pack; in step three, when the battery pack has an abnormal recovery mark within the first time period before executing the fault detection method of the present invention, it is determined that the battery pack has no insulation fault.

[0047] Optionally, the above-mentioned first state is the driving state of the vehicle, that is, the battery pack is in a power output state of outputting energy to the outside for conversion into vehicle kinetic energy; it can be understood that the state in which the vehicle has been started but the actual vehicle has not moved and other on-board equipment such as air conditioning is used should also be considered to belong to the first state.

[0048] As an embodiment of the present invention, Figure 2 As shown, in step three, during the diagnosis stage, if the battery pack is in the first state, and the insulation resistance value changes accordingly with the power change of the battery pack's external discharge, that is, the insulation resistance value changes and is not a constant value, it can be determined that there is no insulation fault in the battery pack.

[0049] This change needs to be relatively significant and should be correlated with power changes, rather than a random change. In other words, if there is an insulation fault in the battery pack, since the resistance of the insulation fault has a greater impact, no matter how the external discharge power changes, the impact on the insulation resistance value is extremely small and cannot change the measured insulation resistance value. Therefore, when the insulation resistance value does not change significantly regardless of how the external discharge power of the battery pack changes, that is, the insulation resistance value is a constant value, it is considered that the measured insulation resistance value is dominated by the resistance of the insulation fault, and therefore the battery pack has an insulation fault at this time.

[0050] In summary, when the vehicle loaded with the battery pack is in driving state, the insulation resistance value is less than the first reference resistance value and the second reference resistance value at the same time; in the subsequent time, the result does not change and the insulation resistance value does not change with the change of external power, then it is confirmed that the battery pack has an insulation fault.

[0051] As an embodiment of the present invention, Figure 3 As shown, it also includes: when the battery pack is in the second state, within a preset time period, when the insulation resistance value is greater than or equal to the first reference resistance value or the resistance value is greater than or equal to the second reference resistance value, there is no insulation fault in the battery pack.

[0052] Similarly, in the second state, the state in which the insulation resistance value is less than the first reference resistance value and less than the second reference resistance value is restored within a limited time, and when at least one of the reference resistance values ​​is greater than or equal to the value, the insulation fault of the battery pack is considered to be eliminated.

[0053] Similarly, in the second state, the possibility of an insulation fault can be ruled out by referring to the situation in which the insulation resistance value recovered from a state where the insulation resistance value was less than the first reference resistance value and less than the second reference resistance value within a certain period of time before.

[0054] Specifically, similar to the first state, this step can be performed by marking the abnormal recovery mark and determining whether the abnormal recovery mark exists within the previous first time period.

[0055] Optionally, the above-mentioned second state is a stationary state of the vehicle, in which the battery pack does not output electrical energy to the outside to move the vehicle, but the second state also includes a stationary charging state of the battery pack.

[0056] In summary, regardless of whether the vehicle is driving or stationary, that is, the battery pack is in the first state or the second state, since the insulation resistance value is detected to be less than the first reference resistance value and the second reference resistance value at the same time, the same judgment will be made: within the preset time period, if the insulation resistance value is greater than or equal to the first reference resistance value or the resistance value is greater than or equal to the second reference resistance value, or if the battery pack has an abnormal recovery mark within a certain period of time, it can be determined that the battery pack has no insulation fault.

[0057] As an embodiment of the present invention, in the second state, when the battery pack is connected to an external device and the insulation resistance threshold is greater than or equal to the insulation fault threshold, the change is relatively stable, then it may be considered.

[0058] Optionally, external equipment includes a charging pile and an external discharge device.

[0059] As an example, if the insulation resistance value is continuously measured to be approximately 800kΩ±2kΩ and the insulation fault threshold is 300kΩ, it is determined that the insulation resistance value being lower than the expected first reference resistance value and the second reference resistance value is related to the insulation value of the connected external device itself, rather than a battery fault in the battery pack itself.

[0060] On the contrary, in the second state, if the insulation resistance value is less than the insulation fault threshold, an early warning needs to be issued to notify the disconnection of the external device for the next step of judgment.

[0061] As an example, if a vehicle has an external charging and discharging device and the measured insulation resistance is 100kΩ, which is less than the insulation fault threshold of 300kΩ, then it is highly likely that the battery pack has an insulation fault. However, a warning should still be issued to notify the user to disconnect the charging device. The final determination of whether the battery pack has an insulation fault can be made by determining whether the situation where the insulation resistance value is less than the insulation fault threshold has changed. After disconnecting the charging device, if the insulation resistance value is no longer less than both the first reference resistance value and the second reference resistance value, then the low insulation resistance value is considered to be caused by an insulation fault in the external device, thus ruling out the possibility of an insulation fault in the battery pack.

[0062] like Figure 4 As shown, in the previous step three, only the situation where the insulation resistance value is less than the first reference resistance value and the insulation resistance value is less than the second reference resistance value is limited to entering the diagnosis stage of judging whether the battery pack has an insulation fault based on the battery pack status and the insulation resistance value change, and other situations are not limited; therefore, step three also includes: corresponding to when the insulation resistance value is less than the first reference resistance value or the resistance value is less than the second reference resistance value, it will enter the preparatory stage, and the battery pack status data will be obtained in the preparatory stage.

[0063] It should be understood that the state in which the insulation resistance value is less than the first reference resistance value and less than the second reference resistance value is most likely not to appear suddenly. Before this, the state in which the insulation resistance value is less than either the first reference resistance value or the second reference resistance value will usually be entered. If this situation occurs, a preparatory stage is required; in this preparatory stage, some data required for the step of judging whether the battery pack has an insulation fault will be acquired in advance, especially the status data of the battery pack, such as the status data of whether the battery pack is currently in the first state or the second state; and the status data of whether the battery pack is connected to an external device and the status data of whether the battery pack has a recovery mark, etc.; in preparation for the situation in which the battery pack detects in step three that the insulation resistance value is less than the first reference resistance value and less than the second reference resistance value and enters the step of judging whether the battery pack has an insulation fault, so that the obtained status data can be directly used to directly judge the insulation fault in this step.

[0064] In addition, if Figure 4 As shown, if the insulation resistance value in the previous step three is greater than or equal to the first reference resistance value and the insulation resistance value is greater than or equal to the second reference resistance value, it is considered that the battery pack has no insulation fault, everything is normal, and the detection process will maintain the status quo.

[0065] For the present invention, subsequent further determinations are more focused on eliminating the situation where the battery pack does not have an insulation fault under different states. If the insulation resistance value is simultaneously less than the first reference resistance value and the second reference resistance value, since the first reference resistance value and the second reference resistance value use two different reference arrays, their confidence level can be considered to be far higher than a single threshold comparison. Both reference resistance values ​​are derived based on a large amount of data in the platform, eliminating errors in pure test calibration and usage scenarios. Therefore, if, in the step of determining whether the battery pack has an insulation fault, the battery pack is determined to have an insulation fault based on other changes in the battery pack state and insulation resistance value that are not included in the embodiments of the present invention, it should also be considered a change based on the present invention and is also within the scope of the present invention.

[0066] It should be pointed out that although the various steps in the above embodiments are described in a specific order, those skilled in the art will understand that in order to achieve the effect of the present application, different steps do not have to be performed in such an order. They can be performed simultaneously (in parallel) or in other orders. These changes are within the scope of protection of the present application.

[0067] It will be understood by those skilled in the art that all or part of the processes in the method for implementing the above embodiment of the present application can also be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium. When the computer program is executed by a processor, it can implement the steps of each of the above method embodiments. The computer program includes computer program code, which can be in source code form, object code form, executable file or some intermediate form. The computer-readable storage medium can include: any entity or device, medium, USB flash drive, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory, random access memory, electric carrier signal, telecommunication signal and software distribution medium that can carry the computer program code. It should be noted that the content contained in the computer-readable storage medium can be appropriately increased or decreased according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, computer-readable storage media do not include electric carrier signals and telecommunication signals.

[0068] Furthermore, the present application also provides a control device. In one embodiment of the control device according to the present application, the control device includes a processor and a storage device. The storage device can be configured to store a program for executing the insulation fault location detection method of the above-mentioned method embodiment, and the processor can be configured to execute the program in the storage device, which includes but is not limited to a program for executing the insulation fault location detection method of the above-mentioned method embodiment. For ease of explanation, only the parts related to the embodiment of the present application are shown. For specific technical details not disclosed, please refer to the method section of the embodiment of the present application. The control device can be a control device device formed by various electronic devices.

[0069] In the embodiment of the present application, the control device may be a control device device formed by various electronic devices. In some possible implementations, the control device may include multiple storage devices and multiple processors. The program for executing the insulation fault location detection method of the above method embodiment can be divided into multiple subroutines, each of which can be loaded and run by a processor to execute different steps of the insulation fault location detection method of the above method embodiment. Specifically, each subroutine can be stored in a different storage device, and each processor can be configured to execute the program in one or more storage devices to jointly implement the insulation fault location detection method of the above method embodiment, that is, each processor executes different steps of the insulation fault location detection method of the above method embodiment to jointly implement the insulation fault location detection method of the above method embodiment.

[0070] The aforementioned multiple processors may be processors deployed on the same device. For example, the aforementioned control device may be a high-performance device composed of multiple processors, and the aforementioned multiple processors may be processors configured on the high-performance device. Furthermore, the aforementioned multiple processors may also be processors deployed on different devices. For example, the aforementioned control device may be a server cluster, and the aforementioned multiple processors may be processors on different servers in the server cluster.

[0071] Furthermore, the present application also provides a computer-readable storage medium. In one embodiment of a computer-readable storage medium according to the present application, the computer-readable storage medium can be configured to store a program for executing the insulation fault location detection method of the above-mentioned method embodiment. The program can be loaded and executed by a processor to implement the above-mentioned insulation fault location detection method. For ease of explanation, only the parts related to the embodiment of the present application are shown. For specific technical details not disclosed, please refer to the method section of the embodiment of the present application. The computer-readable storage medium can be a storage device formed by various electronic devices. Optionally, the computer-readable storage medium in the embodiment of the present application is a non-transitory computer-readable storage medium.

[0072] Furthermore, the present application also provides a vehicle. In a vehicle embodiment according to the present application, the vehicle may include the control device in the control device embodiment.

[0073] The relevant user personal information that may be involved in the various embodiments of this application is strictly in accordance with the requirements of laws and regulations, following the principles of legality, legitimacy and necessity, and based on the reasonable purposes of business scenarios, to process the personal information that users actively provide during the use of products / services or generated due to the use of products / services, as well as the personal information obtained with the user's authorization.

[0074] The user personal information processed in this application will vary depending on the specific product / service scenario and will be based on the specific scenario in which the user uses the product / service. This may involve the user's account information, device information, driving information, vehicle information, or other related information. The applicant will treat the user's personal information and its processing with a high degree of diligence.

[0075] This application attaches great importance to the security of user personal information and has taken reasonable and feasible security protection measures that comply with industry standards to protect user information and prevent personal information from being accessed, disclosed, used, modified, damaged or lost without authorization.

[0076] Furthermore, it should be understood that since the configuration of each module is merely for the purpose of illustrating the functional units of the apparatus of the present application, the physical devices corresponding to these modules may be the processor itself, or a portion of the software in the processor, a portion of the hardware, or a combination of software and hardware. Therefore, the number of modules in the figure is merely illustrative.

[0077] Those skilled in the art will appreciate that the various modules in the device can be adaptively split or merged. Such splitting or merging of specific modules will not cause the technical solution to deviate from the principles of this application. Therefore, the technical solutions after splitting or merging will fall within the scope of protection of this application.

[0078] Thus far, the technical solutions of the present application have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it is readily understood by those skilled in the art that the scope of protection of the present application is obviously not limited to these specific embodiments. Without departing from the principles of the present application, those skilled in the art may make equivalent changes or substitutions to the relevant technical features, and the technical solutions after such changes or substitutions will fall within the scope of protection of the present application.

Claims

1. A method for detecting insulation faults in a battery pack, characterized in that: include: Measuring the insulation resistance value, obtaining the parameter value of the first parameter group and the parameter value of the second parameter group; Acquire a first reference resistance value according to the first parameter group, and acquire a second reference resistance value according to the second parameter group; When the insulation resistance value is less than the first reference resistance value and the insulation resistance value is less than the second reference resistance value, it is determined whether the battery pack has an insulation fault according to the state of the battery pack and the change in the insulation resistance value.

2. The insulation fault detection method according to claim 1, characterized in that: The first parameter group includes the cumulative charging time, cumulative discharging time, cumulative rest time, battery health (SOH) and battery temperature of the battery pack; The second parameter group includes the cumulative charge and discharge capacity of the battery pack, the battery state of health (SOH) and the battery temperature.

3. The insulation fault detection method according to claim 1, characterized in that: Determining whether the battery pack has an insulation fault according to the state of the battery pack and the change in the insulation resistance value includes: When the battery pack is in the first state and detects that the insulation resistance value is greater than or equal to the first reference resistance value or the insulation resistance value is greater than or equal to the second reference resistance value within a preset time period, it is determined that there is no insulation fault in the battery pack and the battery pack is marked with an abnormal recovery mark.

4. The insulation fault detection method according to claim 3, characterized in that: Determining whether the battery pack has an insulation fault according to the state of the battery pack and the change in the insulation resistance value further includes: When the battery pack is in the first state and an abnormal recovery mark is present in the battery pack within a first period of time before the insulation fault detection method is executed, it is determined that no insulation fault exists in the battery pack.

5. The insulation fault detection method according to claim 3, characterized in that: Determining whether the battery pack has an insulation fault according to the state of the battery pack and the change in the insulation resistance value further includes: When the battery pack is in the first state and the insulation resistance value is not a constant value when it changes with the power of the first state within a preset time, it is judged that the battery pack does not have an insulation fault; when the battery pack is in the first state and the insulation resistance value is a constant value when it changes with the power of the first state within a preset time, it is judged that the battery pack has an insulation fault.

6. The insulation fault detection method according to claim 1, characterized in that: Determining whether the battery pack has an insulation fault according to the state of the battery pack and the change in the insulation resistance value includes: When the battery pack is in the second state and the insulation resistance value is detected to be greater than or equal to the first reference resistance value or the insulation resistance value is greater than or equal to the second reference resistance value within a preset time period, it is determined that the battery pack does not have an insulation fault and the battery pack is marked with an abnormal recovery identifier; when the battery pack is in the second state and the insulation resistance value remains less than the first reference resistance value and the insulation resistance value is less than the second reference resistance value within a preset time period, it is determined that the battery pack has an insulation fault.

7. The insulation fault detection method according to claim 6, characterized in that: Determining whether the battery pack has an insulation fault according to the state of the battery pack and the change in the insulation resistance value further includes: When the battery pack is in the second state and the abnormal recovery mark is present in the battery pack within a first period of time before the insulation fault detection method is executed, it is determined that the battery pack does not have an insulation fault.

8. The insulation fault detection method according to claim 6, characterized in that: Determining whether the battery pack has an insulation fault according to the state of the battery pack and the change in the insulation resistance value further includes: When the battery pack is in the second state and connected to an external device, if the insulation resistance value is less than the insulation fault threshold within a preset time period, an alarm signal is issued.

9. The insulation fault detection method according to claim 1, characterized in that: The insulation fault detection method further comprises: When the insulation resistance value is less than the first reference resistance value or the insulation resistance value is less than the second reference resistance value, the status data of the battery pack is acquired.

10. A control device comprising at least one processor and at least one storage device, wherein the storage device is adapted to store a plurality of program codes, wherein: The program code is suitable for being loaded and executed by the processor to execute the insulation fault detection method according to any one of claims 1 to 9.

11. A computer-readable storage medium storing a plurality of program codes, characterized in that: The program code is suitable for being loaded and run by a processor to execute the insulation fault detection method according to any one of claims 1 to 9.

12. A vehicle, characterized in that: The vehicle includes the control device according to claim 10.

Images