Power prediction method, device and electronic equipment for battery management system

Abstract

The present invention provides a power prediction method, device, and electronic device for a battery management system, belonging to the technical field of battery management systems. The method includes: obtaining state parameters of a battery management system to be tested; when the state parameters meet a preset current threshold range, inputting the state parameters into a battery equivalent model to obtain the battery voltage; matching the battery voltage with a preset voltage threshold to obtain a matching result; determining the fault type based on the matching result to obtain a diagnosis result of the battery management system to be tested; and obtaining a power prediction result of the battery management system to be tested based on the diagnosis result, the battery voltage, and the state parameters. The present invention creatively proposes a power prediction method for a battery management system.

Description

Technical Field

[0001] The present invention relates to the technical field of battery management systems, and in particular to a power prediction method, device and electronic equipment for a battery management system. Background Art

[0002] The prior art is titled: A comprehensive battery power prediction method, apparatus, device, and storage medium. The primary technical problem addressed by this prior art is real-time monitoring and prediction of the power status of new energy vehicle batteries to avoid safety incidents caused by battery overheating, while also addressing the issues of static prediction methods consuming significant testing resources and dynamic estimation methods being limited by model accuracy. This differs from the present application in that the present application focuses primarily on the overall strategy for power prediction, not just voltage prediction, while this prior art focuses primarily on how to use a model to predict voltage values ​​and improve accuracy.

[0003] The name of the prior art is: A method for predicting the dynamic peak power of a lithium battery. The main technical problem solved by this prior art is: how to accurately judge and predict the peak power of an electric vehicle battery to optimize the vehicle control strategy and avoid the impact of battery damage and service life. Compared with the present application, the difference is that the implementation methods of the two are inconsistent. This prior art mainly proposes a method for predicting the dynamic peak power of a lithium battery. By collecting basic data of the lithium battery and performing model identification, the dynamic peak power of the lithium battery is predicted. However, there is no detailed description of the specific strategy method for power prediction. Therefore, the prior art lacks a power prediction method for a battery management system. Summary of the Invention

[0004] In view of this, it is necessary to provide a power prediction method, device and electronic device for a battery management system to solve the problem of lack of a power prediction method for a battery management system in the prior art.

[0005] In order to solve the above technical problems, on the one hand, the present invention provides a power prediction method for a battery management system, comprising:

[0006] Obtain the state parameters of the battery management system to be tested. When the state parameters meet the preset current threshold range, input the state parameters into the battery equivalent model to obtain the battery voltage. The state parameters of the battery management system to be tested are: battery SOC value, SOH value, temperature and current;

[0007] Matching the battery voltage with a preset voltage threshold to obtain a matching result, determining the fault type based on the matching result, and obtaining a diagnostic result of the battery management system to be tested;

[0008] Based on the diagnosis results, battery voltage and status parameters, the power prediction result of the battery management system to be tested is obtained.

[0009] In a possible implementation, inputting the state parameter into the battery equivalent model to obtain the battery voltage includes:

[0010] The state parameters are input into the battery equivalent model, and the state parameters are calculated based on the least squares method to obtain the battery voltage.

[0011] In one possible implementation, matching the battery voltage with a preset voltage threshold to obtain a matching result, determining the fault type based on the matching result, and obtaining a diagnostic result of the battery management system to be tested include:

[0012] The battery voltage is matched with a preset voltage threshold. When the battery voltage is greater than the preset voltage threshold, the operating status of the battery management system to be tested is obtained. The fault type of the operating status of the battery management system to be tested is judged to obtain a diagnostic result of the battery management system to be tested.

[0013] In one possible implementation,

[0014] When the battery voltage is less than the preset voltage threshold, the operating status of the battery management system to be detected is obtained, the fault type of the operating status of the battery management system to be detected is judged, and the diagnosis result of the battery management system to be detected is obtained.

[0015] In a possible implementation, determining the fault type of the operating state of the battery management system to be detected to obtain a diagnosis result of the battery management system to be detected includes:

[0016] When there is no recoverable fault type in the operating state of the battery management system to be detected, a diagnosis result is obtained that the battery management system to be detected can be used normally.

[0017] In one possible implementation,

[0018] When a recoverable fault type exists in the operating state of the battery management system to be detected, a diagnosis result indicating that the battery management system to be detected needs maintenance is obtained.

[0019] In a possible implementation, determining the fault type of the operating state of the battery management system to be detected to obtain a diagnosis result of the battery management system to be detected includes:

[0020] The operating status of the battery management system to be tested is judged as a recoverable or non-recoverable fault type, and a diagnosis result is obtained that the battery management system to be tested needs maintenance.

[0021] On the other hand, the present invention also provides a power prediction device for a battery management system, comprising:

[0022] The battery voltage module is used to obtain the state parameters of the battery management system to be tested. When the state parameters meet the preset current threshold range, the state parameters are input into the battery equivalent model to obtain the battery voltage. The state parameters of the battery management system to be tested are: battery SOC value, SOH value, temperature and current;

[0023] A diagnostic result module is used to match the battery voltage with a preset voltage threshold to obtain a matching result, determine the fault type based on the matching result, and obtain a diagnostic result of the battery management system to be tested;

[0024] The power prediction module is used to obtain the power prediction result of the battery management system to be tested based on the diagnosis result, battery voltage and status parameters.

[0025] On the other hand, the present invention also provides an electronic device, including a memory and a processor, wherein:

[0026] The memory is used to store programs;

[0027] The processor is coupled to the memory and is configured to execute the program stored in the memory to implement the steps of the power prediction method for the battery management system in any of the above implementations.

[0028] On the other hand, the present invention also provides a computer-readable storage medium for storing a computer-readable program or instruction, which, when executed by a processor, can implement the steps in the power prediction method of the battery management system described in any of the above implementations.

[0029] The beneficial effects of the present invention are as follows: the power prediction method of the battery management system provided by the present invention includes: obtaining the state parameters of the battery management system to be detected, and when the state parameters meet the preset current threshold range, inputting the state parameters into the battery equivalent model to obtain the battery voltage, the purpose of which is to obtain the battery voltage when the current threshold range is met; the state parameters of the battery management system to be detected are: the SOC value, SOH value, temperature and current of the battery; matching the battery voltage with the preset voltage threshold to obtain a matching result, judging the fault type based on the matching result, and obtaining the diagnosis result of the battery management system to be detected, the purpose of which is to obtain the diagnosis result of the battery management system to be detected when the current threshold range is met; obtaining the power prediction result of the battery management system to be detected based on the diagnosis result, battery voltage and state parameters, the purpose of which is to obtain the power prediction result of the battery management system to be detected based on the diagnosis result, battery voltage and state parameters when the current threshold range is met. The present invention creatively proposes a power prediction method for a battery management system. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative work.

[0031] Figure 1 A schematic flow chart of an embodiment of a power prediction method for a battery management system provided by the present invention;

[0032] Figure 2 This is an algorithm principle diagram of an embodiment of the power prediction method of the battery management system provided by the present invention;

[0033] Figure 3 A flowchart of power prediction according to an embodiment of a power prediction method for a battery management system provided by the present invention;

[0034] Figure 4 A schematic structural diagram of an embodiment of a power prediction device for a battery management system provided by the present invention;

[0035] Figure 5 A schematic structural diagram of an embodiment of an electronic device provided by the present invention. DETAILED DESCRIPTION

[0036] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without making any creative efforts shall fall within the scope of protection of the present invention.

[0037] In the description of the embodiments of the present application, unless otherwise specified, “a plurality of” means two or more.

[0038] The terms "including" and "having" and any variations thereof in the embodiments of the present invention are intended to cover non-exclusive inclusions. For example, a process, method, apparatus, product or device comprising a series of steps or modules is not necessarily limited to those steps or modules explicitly listed, but may include other steps or modules not explicitly listed or inherent to these processes, methods, products or devices.

[0039] The naming or numbering of the steps in the embodiments of the present invention does not mean that the steps in the method flow must be executed in the time / logical sequence indicated by the naming or numbering. The execution order of the named or numbered process steps can be changed according to the technical purpose to be achieved, as long as the same or similar technical effects can be achieved.

[0040] References herein to "embodiments" mean that a particular feature, structure, or characteristic described in connection with the embodiments may be included in at least one embodiment of the present invention. The appearance of this phrase in various places in the specification does not necessarily refer to the same embodiment, nor does it constitute a separate or alternative embodiment that is mutually exclusive of other embodiments. It is understood, both explicitly and implicitly, by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0041] The present invention provides a power prediction method, device and electronic equipment for a battery management system, which are described below respectively.

[0042] Figure 1 A schematic flow chart of an embodiment of a power prediction method for a battery management system provided by the present invention includes:

[0043] S101. Obtaining state parameters of a battery management system to be tested. When the state parameters meet a preset current threshold range, inputting the state parameters into a battery equivalent model to obtain a battery voltage. The state parameters of the battery management system to be tested include: the battery's State of Charge (SOC), the ratio of the remaining charge to its rated capacity; the battery's State of Health (SOH); the battery's temperature (cell temperature and circuit breaker temperature); and the current (discharging current under a pull-over condition).

[0044] S102, matching the battery voltage with a preset voltage threshold to obtain a matching result, determining the fault type based on the matching result, and obtaining a diagnosis result of the battery management system to be tested;

[0045] S103 : Obtain a power prediction result of the battery management system to be tested based on the diagnosis result, battery voltage and status parameters.

[0046] It can be understood that in step S101, the state parameters of the battery management system to be tested are obtained and the state parameters are matched with the preset current threshold value, mainly to determine whether the battery pack of the battery management system to be tested has reached the EOL (EOL: end of battery life) state or the hardware in the battery management system to be tested has failed, resulting in the end of battery life or the failure of the power chip in the hardware circuit of the battery management system, making some core important chips unable to work normally, or the communication connector is damaged, thereby causing the strategy to fail to execute normally. If the above situation exists, the battery pack needs to be replaced. If the above situation does not exist, when the state parameters meet the current threshold range, the power prediction of the battery management system can be performed.

[0047] In step S102 , the battery voltage is matched with a preset voltage threshold, wherein the preset voltage threshold is the lowest voltage value allowed by the battery cell approved by the vehicle manufacturer and the battery cell department.

[0048] Fault types include recoverable faults in the battery management system, preferably those related to circuit breaker control. These faults are generally classified as circuit breaker self-protection failures due to overvoltage, undervoltage, or overtemperature, circuit breaker opening identification failures due to discharge current exceeding a threshold, and failures to open the circuit breaker as required due to communication failures.

[0049] In step S103, the present application mainly adopts a power status prediction strategy so that the vehicle only needs to know the diagnostic results, battery voltage and status parameters provided by the battery management system to obtain the power prediction results of the battery management system to be tested.

[0050] Figure 2 The algorithm principle diagram of an embodiment of the power prediction method of the battery management system provided by the present invention includes:

[0051] The state parameters are input into the battery equivalent model, and the state parameters are calculated based on the least squares method to obtain the battery voltage.

[0052] It is understandable that in Figure 2 The specific current condition is a functional safety current condition, primarily a pull-over condition defined by the vehicle manufacturer through actual testing. This current condition can be either a discharge or charge condition. This invention primarily addresses the power prediction strategy for this specific current condition, which is a discharge condition.

[0053] Rdson + Rbusbar: Rdson represents the resistance of the circuit breaker composed of MOSFETs. Because each MOSFET has a certain internal resistance, and this resistance changes with temperature, the battery equivalent model (ECM) also takes into account temperature-related changes. Rbusbar represents the resistance of the busbar on the battery management system's PCB, which is generally relatively low.

[0054] Vpack: The battery pack voltage value predicted by the model.

[0055] Vmin: represents the minimum voltage value allowed for the battery cell as agreed upon by the vehicle manufacturer and the battery cell department.

[0056] True Positive: When Vpack>Vmin and the diagnosis status is no fault, it is judged as Positive.

[0057] False Positive: It means that when Vpack < Vmin and the diagnostic status is fault-free, but due to violating one of the requirements, it is determined as Negative.

[0058] False Negative: It means that when Vpack > Vmin and the diagnostic status is faulty, it is determined as Negative.

[0059] True Negative: It means that when Vpack < Vmin and the diagnostic status is faulty, it is determined as Negative.

[0060] Power available: It refers to True positive, that is, when Vpack > Vmin and the diagnostic status is fault-free, it is determined as Power available.

[0061] Power temporarily insufficient: It refers to False Positive, False Negative, and True Negative. That is, when the final determination result is in the Negative state, it is all equivalent to Power temporarily insufficient.

[0062] Power permanently insufficient: It means that as long as the SOHC of the battery pack is detected to exceed the value defined by the EOL state, or the battery management system itself diagnoses some hardware faults that cause it to malfunction, regardless of whether the value of Vpack is greater than or less than Vmin, it is determined as Power permanently insufficient.

[0063] The battery equivalent model (ECM) primarily uses testing to fit and infer R0, R1, R2, C1, and C2. The model is converted into a flexible and adaptable model based on the formula of the second-order equivalent model, ultimately calculating the cell voltage. The cell voltage is then multiplied by the number of cells and added to the value obtained by multiplying the internal resistance of the PCB (Printed Circuit Board) by the real-time current. The final output voltage is a voltage. Generally, to standardize HPPC (Hybrid Pulse Characterization) testing, the least squares method is first used to fit the values. Because power state prediction is primarily based on the OEM's specific current profile, extensive testing is performed based on this specific current profile. Preferably, testing is performed at 10% SOC, 100% SOH, and various temperatures. The actual battery pack voltage at the end of this profile is calculated. This specific current profile is then tested at 3% SOC and 5°C intervals to obtain voltage values. These values ​​are then aggregated and used to optimize the ECM model.

[0064] What needs to be further understood is that Figure 2 "Power available" indicates that the battery management control system and the battery pack are functioning normally, the minimum cell voltage is within the allowed range, and there are no problems with operation under this specific current condition. "Power temporarily insufficient" indicates that the battery management control system has detected a partial fault in the battery pack. This is a temporary power shortage, which can be corrected by clearing the fault, charging the battery pack, or improving the ambient temperature. "Power permanently insufficient" indicates that the vehicle's battery pack power is permanently insufficient. The vehicle must check to see if the problem lies with the battery management control system or replace the battery pack.

[0065] Figure 3 A power prediction flowchart of an embodiment of a power prediction method for a battery management system provided by the present invention includes:

[0066] The battery voltage is matched with a preset voltage threshold. When the battery voltage is greater than the preset voltage threshold, the operating status of the battery management system to be tested is obtained. The fault type of the operating status of the battery management system to be tested is judged to obtain a diagnostic result of the battery management system to be tested.

[0067] It can be understood that the present application avoids battery damage by accurately judging and predicting the voltage value of the electric vehicle, in conjunction with some diagnostic strategies, and reminds the replacement of the battery pack when a serious and irreversible power shortage is predicted. By predicting a temporary power shortage, the entire vehicle or user is reminded to charge the battery pack or clear recoverable faults, thereby optimizing the vehicle's control over the power direction of the battery pack.

[0068] In some embodiments of the present invention,

[0069] When the battery voltage is less than the preset voltage threshold, the operating status of the battery management system to be detected is obtained, the fault type of the operating status of the battery management system to be detected is judged, and the diagnosis result of the battery management system to be detected is obtained.

[0070] It is understandable that the battery voltage is matched with a preset voltage threshold, wherein the preset voltage threshold is: the lowest voltage value allowed by the battery cell approved by the vehicle manufacturer and the battery cell department.

[0071] In some embodiments of the present invention, determining the fault type of the operating state of the battery management system to be detected to obtain a diagnosis result of the battery management system to be detected includes:

[0072] When there is no recoverable fault type in the operating state of the battery management system to be detected, a diagnosis result is obtained that the battery management system to be detected can be used normally.

[0073] It is understood that the fault type is determined based on the operating status of the battery management system to be tested. Fault types primarily refer to certain recoverable faults in the battery management system, primarily those related to circuit breaker control. Generally speaking, these faults are categorized as circuit breaker self-protection failures due to overvoltage, undervoltage, overtemperature, etc., circuit breaker opening identification failures due to discharge current exceeding a threshold, and communication failures that prevent the circuit breaker from opening as required.

[0074] In some embodiments of the present invention,

[0075] When a recoverable fault type exists in the operating state of the battery management system to be detected, a diagnosis result indicating that the battery management system to be detected needs maintenance is obtained.

[0076] It is understood that the fault type is determined based on the operating status of the battery management system to be tested. Fault types primarily refer to certain recoverable faults in the battery management system, primarily those related to circuit breaker control. Generally speaking, these faults are categorized as circuit breaker self-protection failures due to overvoltage, undervoltage, overtemperature, etc., circuit breaker opening identification failures due to discharge current exceeding a threshold, and communication failures that prevent the circuit breaker from opening as required.

[0077] In some embodiments of the present invention, determining the fault type of the operating state of the battery management system to be detected to obtain a diagnosis result of the battery management system to be detected includes:

[0078] The operating status of the battery management system to be tested is judged as a recoverable or non-recoverable fault type, and a diagnosis result is obtained that the battery management system to be tested needs maintenance.

[0079] It is understood that the fault type is determined based on the operating status of the battery management system to be tested. Fault types primarily refer to certain recoverable faults in the battery management system, primarily those related to circuit breaker control. Generally speaking, these faults are categorized as circuit breaker self-protection failures due to overvoltage, undervoltage, overtemperature, etc., circuit breaker opening identification failures due to discharge current exceeding a threshold, and communication failures that prevent the circuit breaker from opening as required.

[0080] Figure 4 A schematic structural diagram of an embodiment of a power prediction device for a battery management system provided by the present invention includes:

[0081] The battery voltage module 401 is used to obtain the state parameters of the battery management system to be tested. When the state parameters meet the preset current threshold range, the state parameters are input into the battery equivalent model to obtain the battery voltage. The state parameters of the battery management system to be tested are: the battery's state of charge (SOC), state of hydration (SOH), temperature, and current.

[0082] The diagnostic result module 402 is used to match the battery voltage with a preset voltage threshold to obtain a matching result, determine the fault type based on the matching result, and obtain a diagnostic result of the battery management system to be tested;

[0083] The power prediction module 404 is configured to obtain a power prediction result of the battery management system to be tested based on the diagnosis result, battery voltage and status parameters.

[0084] The power prediction device 400 of the battery management system provided in the above embodiment can implement the technical solution described in the embodiment of the power prediction method of the battery management system. The specific implementation principles of the above modules or units can refer to the corresponding contents in the above embodiment of the power prediction method of the battery management system, which will not be repeated here.

[0085] like Figure 5 As shown, the present invention also provides an electronic device 500. The electronic device 500 includes a processor 501, a memory 502 and a display 503. Figure 5 Only some of the components of the electronic device 500 are shown, but it should be understood that implementation of all of the shown components is not required, and more or fewer components may be implemented instead.

[0086] In some embodiments, the processor 501 may be a central processing unit (CPU), a microprocessor, or other data processing chip, configured to execute program codes or process data stored in the memory 502 , such as the power prediction method of the battery management system of the present invention.

[0087] In some embodiments, processor 501 may be a single server or a server group. The server group may be centralized or distributed. In some embodiments, processor 501 may be local or remote. In some embodiments, processor 501 may be implemented on a cloud platform. In one embodiment, the cloud platform may include a private cloud, a public cloud, a hybrid cloud, a community cloud, a distributed cloud, an internal cloud, multiple clouds, or any combination thereof.

[0088] In some embodiments, the memory 502 may be an internal storage unit of the electronic device 500, such as a hard disk or memory of the electronic device 500. In other embodiments, the memory 502 may also be an external storage device of the electronic device 500, such as a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, etc. equipped on the electronic device 500.

[0089] Furthermore, the memory 502 may include both an internal storage unit of the electronic device 500 and an external storage device. The memory 502 is used to store application software installed in the electronic device 500 and various data.

[0090] In some embodiments, display 503 can be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, or an OLED (Organic Light-Emitting Diode) touchscreen. Display 503 is used to display information on electronic device 500 and to display a visual user interface. Components 501-503 of electronic device 500 communicate with each other via a system bus.

[0091] In one embodiment, when the processor 501 executes the power prediction program of the battery management system in the memory 502, the following steps may be implemented:

[0092] Obtain the state parameters of the battery management system to be tested. When the state parameters meet the preset current threshold range, input the state parameters into the battery equivalent model to obtain the battery voltage. The state parameters of the battery management system to be tested are: battery SOC value, SOH value, temperature and current;

[0093] Matching the battery voltage with a preset voltage threshold to obtain a matching result, determining the fault type based on the matching result, and obtaining a diagnostic result of the battery management system to be tested;

[0094] Based on the diagnosis results, battery voltage and status parameters, the power prediction result of the battery management system to be tested is obtained.

[0095] It should be understood that, when the processor 501 executes the power prediction program of the battery management system in the memory 502 , in addition to the above functions, it can also implement other functions. For details, please refer to the description of the corresponding method embodiment above.

[0096] Furthermore, the embodiment of the present invention does not specifically limit the type of the electronic device 500 mentioned. The electronic device 500 may be a portable electronic device such as a mobile phone, a tablet computer, a personal digital assistant (PDA), a wearable device, a laptop computer, or the like. Exemplary embodiments of portable electronic devices include, but are not limited to, portable electronic devices equipped with IOS, Android, Microsoft, or other operating systems. The above-mentioned portable electronic devices may also be other portable electronic devices, such as a laptop computer with a touch-sensitive surface (e.g., a touch panel). It should also be understood that in some other embodiments of the present invention, the electronic device 500 may not be a portable electronic device, but a desktop computer with a touch-sensitive surface (e.g., a touch panel).

[0097] Accordingly, an embodiment of the present application also provides a computer-readable storage medium, which is used to store computer-readable programs or instructions. When the program or instructions are executed by a processor, it can implement the steps or functions of the power prediction method of the battery management system provided in the above-mentioned method embodiments.

[0098] Those skilled in the art will appreciate that all or part of the process flow of the above-described method embodiment can be implemented by instructing related hardware (such as a processor, controller, etc.) through a computer program, and the computer program can be stored in a computer-readable storage medium. The computer-readable storage medium may be a magnetic disk, an optical disk, a read-only memory, or a random access memory.

[0099] The power prediction method, device, electronic device and storage medium of the battery management system provided by the present invention are introduced in detail above. Specific examples are used in this article to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only used to help understand the method of the present invention and its core ideas. At the same time, for those skilled in the art, according to the ideas of the present invention, there will be changes in the specific implementation methods and application scopes. In summary, the content of this specification should not be understood as limiting the present invention.

Claims

1. A power prediction method for a battery management system, characterized in that: include: Obtaining state parameters of the battery management system to be tested. When the state parameters meet a preset current threshold range, inputting the state parameters into a battery equivalent model to obtain a battery voltage. The state parameters of the battery management system to be tested are: the state of charge (SOC) value, state of hydration (SOH) value, temperature, and current of the battery. The temperature refers to the temperature of the battery cell and the temperature of the circuit breaker switch, and the current refers to the current during discharge under a pull-over condition. When the state parameters do not meet the preset current threshold range, determining that a battery pack in the battery management system to be tested has reached end-of-life (EOL) status or that hardware in the battery management system to be tested has failed. Matching the battery voltage with a preset voltage threshold to obtain a matching result, determining the fault type based on the matching result, and obtaining a diagnostic result of the battery management system to be tested; Based on the diagnosis results, battery voltage and status parameters, the power prediction result of the battery management system to be tested is obtained.

2. The power prediction method of the battery management system according to claim 1, characterized in that: Inputting the state parameters into the battery equivalent model to obtain the battery voltage includes: The state parameters are input into the battery equivalent model, and the state parameters are calculated based on the least squares method to obtain the battery voltage.

3. The power prediction method of the battery management system according to claim 1, characterized in that: The battery voltage is matched with a preset voltage threshold to obtain a matching result, and the fault type is judged based on the matching result to obtain a diagnostic result of the battery management system to be tested, including: The battery voltage is matched with a preset voltage threshold. When the battery voltage is greater than the preset voltage threshold, the operating status of the battery management system to be tested is obtained. The fault type of the operating status of the battery management system to be tested is judged to obtain a diagnostic result of the battery management system to be tested.

4. The power prediction method of the battery management system according to claim 3, characterized in that: When the battery voltage is less than the preset voltage threshold, the operating status of the battery management system to be detected is obtained, the fault type of the operating status of the battery management system to be detected is judged, and the diagnosis result of the battery management system to be detected is obtained.

5. The power prediction method of the battery management system according to claim 3, characterized in that: The method of determining the fault type of the battery management system to be detected based on the operating status of the battery management system to be detected to obtain a diagnosis result of the battery management system to be detected includes: When there is no recoverable fault type in the operating state of the battery management system to be detected, a diagnosis result is obtained that the battery management system to be detected can be used normally.

6. The power prediction method of the battery management system according to claim 5, characterized in that: When a recoverable fault type exists in the operating state of the battery management system to be detected, a diagnosis result indicating that the battery management system to be detected needs maintenance is obtained.

7. The power prediction method of a battery management system according to claim 4, characterized in that: The method of determining the fault type of the battery management system to be detected based on the operating status of the battery management system to be detected to obtain a diagnosis result of the battery management system to be detected includes: The operating status of the battery management system to be tested is judged as a recoverable or non-recoverable fault type, and a diagnosis result is obtained that the battery management system to be tested needs maintenance.

8. A power prediction device for a battery management system, characterized in that: include: A battery voltage module is used to obtain state parameters of the battery management system to be tested. When the state parameters meet a preset current threshold range, the state parameters are input into a battery equivalent model to obtain a battery voltage. The state parameters of the battery management system to be tested are: the battery's SOC value, SOH value, temperature, and current. The temperature refers to the temperature of the battery cell and the temperature of the circuit breaker switch, and the current refers to the current during discharge under a pull-over condition. When the state parameters do not meet the preset current threshold range, it is determined that a battery pack in the battery management system to be tested has reached EOL status or that hardware in the battery management system to be tested has failed. A diagnostic result module is used to match the battery voltage with a preset voltage threshold to obtain a matching result, determine the fault type based on the matching result, and obtain a diagnostic result of the battery management system to be tested; The power prediction module is used to obtain the power prediction result of the battery management system to be tested based on the diagnosis result, battery voltage and status parameters.

9. An electronic device, characterized in that: comprising a memory and a processor, wherein, The memory is used to store programs; The processor is coupled to the memory and is configured to execute the program stored in the memory to implement the steps in the power prediction method for a battery management system as described in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that Used to store computer-readable programs or instructions, which, when executed by a processor, can implement the steps of the power prediction method for a battery management system as described in any one of claims 1 to 7.

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