Electric drive assembly anomaly detection method, device and equipment and readable storage medium
By collecting and analyzing the data of the electric drive assembly in real time, outputting abnormal warnings and detecting temperature sensor failures, the lack of response to temperature abnormalities of the electric drive assembly is solved, and the safety of the vehicle and user satisfaction are improved.
Patent Information
- Application Number
- CN202510508440.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-04-22
- Publication Date
- 2025-07-25
AI Technical Summary
The prior art lacks effective methods to deal with abnormal conditions such as the temperature of the electric drive assembly in advance, affecting the safety and user experience of the vehicle.
Data from the electric drive assembly is collected in real time, and by detecting the battery pack single voltage, drive motor temperature, drive motor controller temperature and current parameters, output an abnormal warning, and detect a temperature sensor failure when the continuous preset number of sampled data reaches the preset disconnection temperature.
It realizes timely detection and early warning of potential risks of the electric drive assembly, avoids the occurrence of abnormal situations such as temperature, and improves the safety of the vehicle and user satisfaction.
Smart Images
Figure CN120370068A_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the technical field of electric drive assemblies, and particularly to an abnormal detection method, device, equipment and readable storage medium for an electric drive assembly. Background Art
[0002] The electric drive assembly of a vehicle is the core power unit of a new energy vehicle, and its core components include a drive motor, a drive motor controller, a reducer, a sensor system, a cooling system, etc. The electric drive assembly converts the electrical energy output by the power battery pack into mechanical energy through the drive motor, thereby realizing the drive of the vehicle. When abnormal conditions such as temperature occur in the electric drive assembly, in order to ensure safety, the power of the vehicle will be restricted, thus affecting the use and experience of the vehicle.
[0003] However, currently, there is a lack of effective methods to deal with possible abnormal conditions such as temperature in the electric drive assembly in advance. Summary of the Invention
[0004] The present application provides an abnormal detection method, device, equipment and readable storage medium for an electric drive assembly, aiming to solve the technical problem that there is a lack of effective methods to deal with possible abnormal conditions such as temperature in the electric drive assembly in advance.
[0005] In a first aspect, an embodiment of the present application provides an abnormal detection method for an electric drive assembly, and the abnormal detection method for the electric drive assembly includes:
[0006] Collect electric drive assembly data of the vehicle in real time to obtain multiple pieces of sampling data;
[0007] For each piece of sampling data, detect whether the sampling data is abnormal according to the minimum voltage of the battery pack monomers, the maximum voltage of the battery pack monomers, the drive motor temperature, the drive motor controller temperature, the input voltage of the drive motor controller, and the DC bus current of the drive motor controller in the sampling data;
[0008] When the sampling data is abnormal, output an abnormal warning for the sampling data;
[0009] When all the sampling data is not abnormal, if it is detected that the temperature of the drive motor or the temperature of the drive motor controller in a continuous preset number of sampling data is the preset disconnection temperature, then output a disconnection fault of the drive motor temperature sensor or the drive motor controller temperature sensor correspondingly.
[0010] Optionally, the minimum value of the voltages of all battery cells in the battery pack in the sampling data is used as the minimum voltage of the battery pack monomers, and the maximum value of the voltages of all battery cells in the battery pack in the sampling data is used as the maximum voltage of the battery pack monomers.
[0011] Optionally, detecting whether the sampled data is abnormal based on the minimum voltage of the battery pack cells, the maximum voltage of the battery pack cells, the drive motor temperature, the drive motor controller temperature, the drive motor controller input voltage, and the drive motor controller DC bus current of the sampled data includes:
[0012] If the minimum voltage of the battery pack cells or the maximum voltage of the battery pack cells of the sampled data is not within the first preset voltage range, or the drive motor temperature is not within the first preset temperature range, or the drive motor controller temperature is not within the second preset temperature range, or the drive motor controller input voltage is not within the second preset voltage range, or the drive motor controller DC bus current is not within the preset current range, it is determined that the detection result is that the sampled data is abnormal;
[0013] If the minimum voltage of the battery pack cells and the maximum voltage of the battery pack cells of the sampled data are both within the first preset voltage range, and the drive motor temperature is within the first preset temperature range, and the drive motor controller temperature is within the second preset temperature range, and the drive motor controller input voltage is within the second preset voltage range, and the drive motor controller DC bus current is within the preset current range, it is determined that the detection result is that the sampled data is not abnormal.
[0014] Optionally, when all the sampled data is not abnormal, if the temperature of the drive motor or the temperature of the drive motor controller of a continuous preset number of sampled data is detected to be the preset disconnection temperature, correspondingly outputting that the drive motor temperature sensor or the drive motor controller temperature sensor has a disconnection fault includes:
[0015] When all the sampled data is not abnormal and the vehicle speed of the sampled data is within the preset driving speed range, if the temperature of the drive motor or the temperature of the drive motor controller of a continuous preset number of sampled data is detected to be the preset disconnection temperature, correspondingly output that the drive motor temperature sensor or the drive motor controller temperature sensor has a disconnection fault.
[0016] In a second aspect, an embodiment of the present application provides an electric drive assembly abnormality detection device, and the electric drive assembly abnormality detection device includes:
[0017] An acquisition module, configured to acquire the electric drive assembly data of the vehicle in real time to obtain multiple pieces of sampled data;
[0018] An abnormality detection module, configured to detect whether the sampled data is abnormal for each piece of sampled data according to the minimum voltage of the battery pack cells, the maximum voltage of the battery pack cells, the drive motor temperature, the drive motor controller temperature, the drive motor controller input voltage, and the drive motor controller DC bus current of the sampled data;
[0019] A first output module, configured to output a sampled data abnormality warning when the sampled data is abnormal;
[0020] A second output module, configured to, when all the sampling data has no abnormality, if it is detected that the temperature of the drive motor or the temperature of the drive motor controller of a continuous preset number of sampling data is a preset disconnection temperature, correspondingly output that a disconnection fault occurs in the drive motor temperature sensor or the drive motor controller temperature sensor.
[0021] Optionally, the minimum value of the voltages of all the battery cells of the battery pack in the sampling data is used as the lowest single-cell voltage of the battery pack, and the maximum value of the voltages of all the battery cells of the battery pack in the sampling data is used as the highest single-cell voltage of the battery pack.
[0022] Optionally, the abnormality detection module is configured to:
[0023] If the lowest single-cell voltage or the highest single-cell voltage of the battery pack in the sampling data is not within the first preset voltage range, or the temperature of the drive motor is not within the first preset temperature range, or the temperature of the drive motor controller is not within the second preset temperature range, or the input voltage of the drive motor controller is not within the second preset voltage range, or the DC bus current of the drive motor controller is not within the preset current range, it is determined that the detection result is that the sampling data has an abnormality;
[0024] If the lowest single-cell voltage and the highest single-cell voltage of the battery pack in the sampling data are both within the first preset voltage range, and the temperature of the drive motor is within the first preset temperature range, and the temperature of the drive motor controller is within the second preset temperature range, and the input voltage of the drive motor controller is within the second preset voltage range, and the DC bus current of the drive motor controller is within the preset current range, it is determined that the detection result is that the sampling data has no abnormality.
[0025] In a third aspect, an embodiment of the present application provides an electric drive assembly abnormality detection device, which includes a processor, a memory, and an electric drive assembly abnormality detection program stored on the memory and executable by the processor. When the electric drive assembly abnormality detection program is executed by the processor, the steps of the electric drive assembly abnormality detection method as described above are implemented.
[0026] In a fourth aspect, an embodiment of the present application provides a readable storage medium, on which an electric drive assembly abnormality detection program is stored. When the electric drive assembly abnormality detection program is executed by a processor, the steps of the electric drive assembly abnormality detection method as described above are implemented.
[0027] The beneficial effects brought by the technical solution provided by the embodiment of the present application include:
[0028] In the embodiments of the present application, the electric drive assembly data of the vehicle is collected in real time to obtain multiple pieces of sampling data; for each piece of sampling data, whether the sampling data is abnormal is detected according to the minimum voltage of the battery pack monomers, the maximum voltage of the battery pack monomers, the drive motor temperature, the drive motor controller temperature, the input voltage of the drive motor controller, and the DC bus current of the drive motor controller in the sampling data; when the sampling data is abnormal, an early warning of abnormal sampling data is output; when all the sampling data is normal, if it is detected that the temperature of the drive motor or the temperature of the drive motor controller in a continuous preset number of sampling data is the preset disconnection temperature, a disconnection fault of the drive motor temperature sensor or the drive motor controller temperature sensor is output correspondingly. Through the embodiments of the present application, by timely detecting and warning the abnormality of each piece of sampling data of the electric drive assembly collected in real time, and timely detecting and outputting the disconnection fault of the temperature sensor, it is convenient to process the potential risks existing in the electric drive assembly in advance, so as to better avoid abnormal situations such as temperature of the electric drive assembly. Description of the Drawings
[0029] Figure 1 It is a schematic flowchart of an embodiment of the method for detecting abnormality of the electric drive assembly of the present application;
[0030] Figure 2 For the present application Figure 1 It is a detailed flowchart of step S20 in the present application;
[0031] Figure 3 It is another schematic flowchart of an embodiment of the method for detecting abnormality of the electric drive assembly of the present application;
[0032] Figure 4 It is a schematic diagram of the functional modules of an embodiment of the device for detecting abnormality of the electric drive assembly of the present application;
[0033] Figure 5 It is a schematic diagram of the hardware structure of the device for detecting abnormality of the electric drive assembly involved in the solution of the embodiments of the present application. Detailed Embodiments
[0034] In order to enable those skilled in the art to better understand the solution of 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 in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present application.
[0035] To make the purpose, technical solutions, and advantages of the present application clearer, the embodiments of the present application will be further described in detail below with reference to the accompanying drawings.
[0036] In a first aspect, an embodiment of the present application provides a method for detecting abnormalities in an electric drive assembly.
[0037] In one embodiment, with reference to Figure 1 , Figure 1 which is a schematic flowchart of an embodiment of the method for detecting abnormalities in the electric drive assembly of the present application. As Figure 1 shown, the method for detecting abnormalities in the electric drive assembly includes:
[0038] Step S10: Real-time collect the data of the electric drive assembly of the vehicle to obtain multiple pieces of sampled data.
[0039] In this embodiment, for each vehicle that needs to detect and give early warning of abnormalities in the electric drive assembly, the data of the electric drive assembly of the vehicle can be collected in real time to obtain multiple pieces of sampled data. The multiple pieces of sampled data are time-series data sorted according to the sampling time. The data of the electric drive assembly of the vehicle collected in real time can be uploaded and stored to the cloud platform, and subsequent detection and analysis are performed based on the multiple pieces of sampled data stored in the cloud platform. Among them, each piece of sampled data may include information such as vehicle identification code, sampling time, minimum voltage of single battery cell in the battery pack, maximum voltage of single battery cell in the battery pack, driving motor temperature, driving motor controller temperature, input voltage of the driving motor controller, and DC bus current of the driving motor controller.
[0040] Step S20: For each piece of sampled data, detect whether the sampled data is abnormal according to the minimum voltage of single battery cell in the battery pack, the maximum voltage of single battery cell in the battery pack, the driving motor temperature, the driving motor controller temperature, the input voltage of the driving motor controller, and the DC bus current of the driving motor controller in the sampled data.
[0041] In this embodiment, the minimum voltage of single battery cell in the battery pack, the maximum voltage of single battery cell in the battery pack, the driving motor temperature, the driving motor controller temperature, the input voltage of the driving motor controller, and the DC bus current of the driving motor controller in each piece of sampled data are detected, such as whether there is a situation of too high or too low voltage, current, and temperature, so as to determine whether the sampled data is abnormal. It should be noted that each piece of sampled data may also include the number of driving motors, and may also include the temperature of each driving motor, the temperature of the controller, the input voltage of the controller, and the DC bus current of the controller. Furthermore, it is possible to detect whether the sampled data of each driving motor is abnormal, that is, after detecting that the sampled data is abnormal, it is possible to accurately locate which driving motor the abnormal sampled data belongs to.
[0042] Step S30: When the sampled data is abnormal, output a warning of abnormal sampled data.
[0043] In this embodiment, if a certain piece of sampled data is detected to be abnormal, it indicates that there may be abnormal conditions such as temperature in the electric drive assembly of the vehicle. It is necessary to output an abnormal warning for this piece of sampled data to facilitate the early handling of potential risks existing in the electric drive assembly, so as to better avoid abnormal conditions such as temperature in the electric drive assembly.
[0044] Step S40, when all sampled data are not abnormal, if the temperature of the drive motor or the temperature of the drive motor controller of a continuously preset number of sampled data is detected to be the preset disconnection temperature, then a disconnection fault of the drive motor temperature sensor or the drive motor controller temperature sensor is output correspondingly.
[0045] In this embodiment, if, when all the detected sampled data are not abnormal, the number of consecutive times that the temperature of the drive motor or the temperature of the drive motor controller of the sampled data reaches the preset disconnection temperature reaches the preset number, for example, the temperature of the drive motor or the temperature of the drive motor controller of 3 consecutive pieces of sampled data is -40°C, it indicates that the drive motor temperature sensor or the drive motor controller temperature sensor has a disconnection fault, and a corresponding disconnection fault warning is output to facilitate the early handling of potential risks existing in the electric drive assembly, so as to better avoid abnormal conditions such as temperature in the electric drive assembly. Among them, the preset disconnection temperature of -40°C is referenced from the national standard GB / T 32960 "Technical Specification for Electric Vehicle Remote Service and Management System". It is stipulated that when a disconnection fault occurs in the drive motor temperature sensor or the drive motor controller temperature sensor, that is, when the temperature of the drive motor or the temperature of the drive motor controller output by the corresponding sensor cannot be obtained, the temperature of the drive motor or the temperature of the drive motor controller is reported as -40°C. Obviously, other appropriate temperature values can also be agreed upon as the reported value when a disconnection fault occurs in the drive motor temperature sensor or the drive motor controller temperature sensor.
[0046] In this embodiment, for each vehicle that needs to perform abnormal detection and early warning on the electric drive assembly, the electric drive assembly data of the vehicle can be collected in real time to obtain multiple pieces of sampling data. The multiple pieces of sampling data are time-series data sorted according to the sampling time. The electric drive assembly data of the vehicle collected in real time can be uploaded and stored to the cloud platform, and subsequent detection and analysis can be performed based on the multiple pieces of sampling data stored in the cloud platform. The minimum voltage of the battery pack monomers, the maximum voltage of the battery pack monomers, the drive motor temperature, the drive motor controller temperature, the input voltage of the drive motor controller, and the DC bus current of the drive motor controller in each piece of sampling data are detected. If an abnormality is detected in a certain piece of sampling data, it indicates that there may be an abnormality such as temperature in the vehicle's electric drive assembly, and an abnormal warning needs to be output for this piece of sampling data, so as to process the potential risks existing in the electric drive assembly in advance, thereby better avoiding abnormal situations such as temperature in the electric drive assembly. If none of the detected sampling data is abnormal, and the continuous number of times that the temperature of the drive motor or the temperature of the drive motor controller in the sampling data reaches the preset disconnection temperature reaches the preset number, it indicates that the drive motor temperature sensor or the drive motor controller temperature sensor has a disconnection fault, and a corresponding disconnection fault warning is output, so as to process the potential risks existing in the electric drive assembly in advance, thereby better avoiding abnormal situations such as temperature in the electric drive assembly.
[0047] Further, in one embodiment, the minimum value of the voltages of all battery cells in the battery pack of the sampling data is used as the minimum voltage of the battery pack monomers, and the maximum value of the voltages of all battery cells in the battery pack of the sampling data is used as the maximum voltage of the battery pack monomers.
[0048] In this embodiment, the sampling data may further include the number of battery cells in the vehicle's power battery pack and the voltage of each battery cell at the sampling time. The voltages of all battery cells at the sampling time form a list of battery cell voltages of the power battery pack. Correspondingly, the minimum value of the voltages of all battery cells in the battery pack of the sampling data is used as the minimum voltage of the battery pack monomers, and the maximum value of the voltages of all battery cells in the battery pack of the sampling data is used as the maximum voltage of the battery pack monomers.
[0049] Further, in one embodiment, with reference to Figure 2 , Figure 2 is the detailed flowchart of step S20 in this application Figure 1 . As shown in Figure 2 , step S20 includes:
[0050] Step S201, if the minimum voltage or the maximum voltage of the battery pack cells in the sampled data is not within the first preset voltage range, or the drive motor temperature is not within the first preset temperature range, or the drive motor controller temperature is not within the second preset temperature range, or the input voltage of the drive motor controller is not within the second preset voltage range, or the DC bus current of the drive motor controller is not within the preset current range, then it is determined that the detection result is that there is an abnormality in the sampled data;
[0051] Step S202, if both the minimum voltage and the maximum voltage of the battery pack cells in the sampled data are within the first preset voltage range, and the drive motor temperature is within the first preset temperature range, and the drive motor controller temperature is within the second preset temperature range, and the input voltage of the drive motor controller is within the second preset voltage range, and the DC bus current of the drive motor controller is within the preset current range, then it is determined that the detection result is that there is no abnormality in the sampled data.
[0052] In this embodiment, when detecting whether there is an abnormality in the sampled data based on the minimum voltage of the battery pack cells, the maximum voltage of the battery pack cells, the drive motor temperature, the drive motor controller temperature, the input voltage of the drive motor controller, and the DC bus current of the drive motor controller in the sampled data, it is easy to understand that the minimum voltage and the maximum voltage of the battery pack cells will normally be within the range of [0, 4.8] V (volts), the drive motor temperature and the drive motor controller temperature will normally be within the range of [-40°C, 125°C], the input voltage of the drive motor controller will normally be within the range of [0, 1023.25] V (volts), and the DC bus current of the drive motor controller will normally be within the range of [-1023, 1023.5] A (amperes). Therefore, if all the above data are within the corresponding ranges, it is determined that there is no abnormality in this sampled data. On the contrary, if any one of the data is not within the corresponding range, it is determined that there is an abnormality in this sampled data.
[0053] Further, in one embodiment, step S40 includes:
[0054] When all the sampled data have no abnormalities and the vehicle speed of the sampled data is within the preset driving speed range, if it is detected that the temperature of the drive motor or the temperature of the drive motor controller in a continuous preset number of sampled data is the preset disconnection temperature, then a disconnection fault of the drive motor temperature sensor or the drive motor controller temperature sensor is correspondingly output.
[0055] In this embodiment, to improve the accuracy and efficiency of detection, abnormal detection of the electric drive assembly is not performed when the vehicle is parked or just started. Detection of the disconnection fault of the temperature sensor is performed when the vehicle speed of the sampled data is within the preset driving speed range. The preset driving speed range is, for example, [10, 120] km / h. Specifically, if there are no abnormalities in the detected sampled data and the vehicle speed of these sampled data is within the range of [10, 120] km / h, if the temperature of the drive motor or the temperature of the drive motor controller in three consecutive sampled data is -40°C, it indicates that the drive motor temperature sensor or the drive motor controller temperature sensor has a disconnection fault, and the corresponding disconnection fault warning is output to facilitate the early handling of potential risks existing in the electric drive assembly, thereby better avoiding abnormal situations such as temperature of the electric drive assembly.
[0056] Further, in one embodiment, after the output of the sampled data abnormality warning, it includes:
[0057] Sending the output sampled data abnormality warning to the after-sales information system;
[0058] Referring to Figure 3 , Figure 3 which is another process schematic diagram of an embodiment of the electric drive assembly abnormal detection method of the present application. As Figure 3 shown, after the corresponding output that the drive motor temperature sensor or the drive motor controller temperature sensor has a disconnection fault, it includes:
[0059] Step S50, sending the corresponding output that the drive motor temperature sensor or the drive motor controller temperature sensor has a disconnection fault to the after-sales information system.
[0060] In this embodiment, sending the output sampled data abnormality warning to the after-sales information system, and sending the corresponding output that the drive motor temperature sensor or the drive motor controller temperature sensor has a disconnection fault to the after-sales information system, and the after-sales store personnel notify the customer to invite them into the store for repair, thereby better avoiding situations such as temperature abnormality and power limitation of the electric drive assembly, and improving user satisfaction. After verification in the market, the warning accuracy rate for possible temperature abnormalities and the like of the electric drive assembly reaches 97%, which can effectively identify temperature abnormality problems existing in the electric drive assembly of new energy vehicles and can handle potential risks existing in the electric drive assembly in advance.
[0061] In a second aspect, an embodiment of the present application further provides an electric drive assembly abnormal detection device.
[0062] In one embodiment, referring to Figure 4 , Figure 4This is a schematic diagram of the functional modules of an embodiment of the abnormal detection device for the electric drive assembly of the present application. As Figure 4 shown, the abnormal detection device for the electric drive assembly includes:
[0063] The acquisition module 10 is used to collect the electric drive assembly data of the vehicle in real time to obtain multiple pieces of sampling data;
[0064] The abnormal detection module 20 is used to detect whether there is an abnormality in each piece of sampling data according to the minimum voltage of the battery pack single cell, the maximum voltage of the battery pack single cell, the drive motor temperature, the drive motor controller temperature, the drive motor controller input voltage, and the drive motor controller DC bus current of the sampling data;
[0065] The first output module 30 is used to output an abnormal warning of the sampling data when the sampling data is abnormal;
[0066] The second output module 40 is used to, when all the sampling data is normal, if it is detected that the temperature of the drive motor or the temperature of the drive motor controller of a continuous preset number of sampling data is the preset disconnection temperature, correspondingly output that the drive motor temperature sensor or the drive motor controller temperature sensor has a disconnection fault.
[0067] Further, in an embodiment, the minimum value of the voltages of all the battery cells of the battery pack in the sampling data is used as the minimum voltage of the battery pack single cell, and the maximum value of the voltages of all the battery cells of the battery pack in the sampling data is used as the maximum voltage of the battery pack single cell.
[0068] Further, in an embodiment, the abnormal detection module 20 is used for:
[0069] If the minimum voltage of the battery pack single cell or the maximum voltage of the battery pack single cell in the sampling data is not within the first preset voltage range, or the drive motor temperature is not within the first preset temperature range, or the drive motor controller temperature is not within the second preset temperature range, or the drive motor controller input voltage is not within the second preset voltage range, or the drive motor controller DC bus current is not within the preset current range, then it is determined that the detection result is that the sampling data is abnormal;
[0070] If the minimum voltage of the battery pack single cell and the maximum voltage of the battery pack single cell in the sampling data are both within the first preset voltage range, and the drive motor temperature is within the first preset temperature range, and the drive motor controller temperature is within the second preset temperature range, and the drive motor controller input voltage is within the second preset voltage range, and the drive motor controller DC bus current is within the preset current range, then it is determined that the detection result is that the sampling data is normal.
[0071] Further, in an embodiment, the second output module 40 is used for:
[0072] When all the sampled data are normal and the vehicle speed of the sampled data is within the preset driving speed range, if the temperature of the drive motor or the temperature of the drive motor controller of a continuous preset number of sampled data is detected to be the preset disconnection temperature, a disconnection fault of the drive motor temperature sensor or the drive motor controller temperature sensor is correspondingly output.
[0073] Further, in one embodiment, the electric drive assembly abnormality detection device further includes a first sending module for:
[0074] Sending the output sampled data abnormality warning to the after-sales information system;
[0075] A second sending module for:
[0076] Sending the correspondingly output disconnection fault of the drive motor temperature sensor or the drive motor controller temperature sensor to the after-sales information system.
[0077] Wherein, the function implementation of each module in the above electric drive assembly abnormality detection device corresponds to each step in the embodiment of the above electric drive assembly abnormality detection method, and its function and implementation process will not be elaborated here one by one.
[0078] In a third aspect, an embodiment of the present application provides an electric drive assembly abnormality detection device.
[0079] Refer to Figure 5 , Figure 5 This is a schematic diagram of the hardware structure of the electric drive assembly abnormality detection device involved in the embodiment of the present application. In the embodiment of the present application, the electric drive assembly abnormality detection device may include a processor, a memory, a communication interface, and a communication bus.
[0080] Among them, the communication bus can be of any type and is used to interconnect the processor, the memory, and the communication interface.
[0081] The communication interface includes input / output (I / O) interfaces, physical interfaces, and logical interfaces, etc., which are used to implement the interconnection of internal devices of the electric drive assembly abnormality detection device, and interfaces for implementing the interconnection of the electric drive assembly abnormality detection device with other devices (such as other computing devices or user devices). The physical interface can be an Ethernet interface, a fiber optic interface, an ATM interface, etc.; the user device can be a display screen (Display), a keyboard (Keyboard), etc.
[0082] The 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 memory, hard disk, programmable ROM (PROM), erasable PROM (EPROM), electrically erasable PROM (EEPROM), etc.
[0083] The processor can be a general-purpose processor, which can call the electric drive assembly anomaly detection program stored in the memory and execute the electric drive assembly anomaly detection method provided in the embodiments of the present application. For example, the general-purpose processor can be a central processing unit (CPU). Among them, the method executed when the electric drive assembly anomaly detection program is called can refer to the various embodiments of the electric drive assembly anomaly detection method of the present application, which will not be elaborated here.
[0084] Those skilled in the art can understand that Figure 5 the hardware structure shown in does not constitute a limitation to the present application, and may include more or fewer components than shown in the figure, or combine certain components, or have different component arrangements.
[0085] In a fourth aspect, the embodiments of the present application further provide a readable storage medium.
[0086] The electric drive assembly anomaly detection program is stored on the readable storage medium of the present application. When the electric drive assembly anomaly detection program is executed by a processor, the steps of the electric drive assembly anomaly detection method as described above are implemented.
[0087] Among them, the method implemented when the electric drive assembly anomaly detection program is executed can refer to the various embodiments of the electric drive assembly anomaly detection method of the present application, which will not be elaborated here.
[0088] It should be noted that the serial numbers of the above embodiments of the present application are only for description and do not represent the advantages or disadvantages of the embodiments.
[0089] In the description of the specification, claims and the above-mentioned drawings of this application, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, system, product or device that includes a series of steps or units is not limited to the listed steps or units, but may optionally further include steps or units not listed, or may optionally further include other steps or units inherent to these processes, methods, products or devices. Descriptions such as "first", "second" and "third" are used to distinguish different objects, etc., and do not represent a sequential order, nor do they limit that "first", "second" and "third" are different types.
[0090] 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 solution described as "exemplary", "for example" or "for instance" in the embodiments of this application should not be construed as being more preferred or having more advantages than other embodiments or design solutions. Rather, the use of words such as "exemplary", "for example" or "for instance" is intended to present the relevant concepts in a specific manner.
[0091] In the description of the embodiments of this application, unless otherwise specified, " / " means "or". For example, A / B may mean A or B; "and / or" in the text is merely a description of the association relationship between associated 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, "a plurality of" means two or more than two.
[0092] In some processes described in the embodiments of this application, a plurality of operations or steps appear in a specific order. However, it should be understood that these operations or steps may not be executed in the order in which they appear in the embodiments of this application or may be executed in parallel. The serial numbers of the operations are only used to distinguish different operations, and the serial numbers themselves do not represent any execution order. In addition, these processes may include more or fewer operations, and these operations or steps may be executed in sequence or in parallel, and these operations or steps may be combined.
[0093] Through the description of the above embodiments, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of software plus a necessary general hardware platform. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method. Based on such an 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 as described above (such as ROM / RAM, magnetic disk, optical disc), and includes several instructions to enable a terminal device to execute the methods described in the various embodiments of this application.
[0094] The above are only the preferred embodiments of the present application, and do not limit the patent scope of the present application. Any equivalent structure or equivalent process transformation made by using the content of the specification and drawings of the present application, or directly or indirectly applied in other related technical fields, shall be equally included in the patent protection scope of the present application.
Claims
1. An abnormal detection method for an electric drive assembly, characterized in that, The abnormal detection method of the electric drive assembly includes: Collect the data of the electric drive assembly of the vehicle in real time to obtain multiple pieces of sampled data; For each piece of sampled data, detect whether the sampled data is abnormal according to the minimum voltage of the battery pack cells, the maximum voltage of the battery pack cells, the temperature of the drive motor, the temperature of the drive motor controller, the input voltage of the drive motor controller, and the DC bus current of the drive motor controller in the sampled data; When the sampled data is abnormal, output an early warning of abnormal sampled data; For all sampled data that is not abnormal, When all sampled data is not abnormal, if the temperature of the drive motor or the temperature of the drive motor controller in a continuous preset number of sampled data is the preset disconnection temperature, then output the disconnection fault of the drive motor temperature sensor or the drive motor controller temperature sensor accordingly.
2. The abnormal detection method of the electric drive assembly according to claim 1, wherein Take the minimum value of the voltages of all battery cells in the battery pack of the sampled data as the minimum voltage of the battery pack cells, and take the maximum value of the voltages of all battery cells in the battery pack of the sampled data as the maximum voltage of the battery pack cells.
3. The abnormal detection method for the electric drive assembly according to claim 1, characterized in that, The detecting whether the sampled data is abnormal according to the minimum voltage of the battery pack cells, the maximum voltage of the battery pack cells, the temperature of the drive motor, the temperature of the drive motor controller, the input voltage of the drive motor controller, and the DC bus current of the drive motor controller in the sampled data includes: If the minimum voltage of the battery pack cells or the maximum voltage of the battery pack cells in the sampled data is not within the first preset voltage range, or the temperature of the drive motor is not within the first preset temperature range, or the temperature of the drive motor controller is not within the second preset temperature range, or the input voltage of the drive motor controller is not within the second preset voltage range, or the DC bus current of the drive motor controller is not within the preset current range, then determine that the detection result is that the sampled data is abnormal; If the minimum voltage of the battery pack cells and the maximum voltage of the battery pack cells in the sampled data are both within the first preset voltage range, and the temperature of the drive motor is within the first preset temperature range, and the temperature of the drive motor controller is within the second preset temperature range, and the input voltage of the drive motor controller is within the second preset voltage range, and the DC bus current of the drive motor controller is within the preset current range, then determine that the detection result is that the sampled data is not abnormal.
4. The abnormal detection method for the electric drive assembly according to claim 1, wherein, The outputting the disconnection fault of the drive motor temperature sensor or the drive motor controller temperature sensor accordingly when the temperature of the drive motor or the temperature of the drive motor controller in a continuous preset number of sampled data is the preset disconnection temperature when all sampled data is not abnormal includes: When all sampled data is not abnormal and the vehicle speed of the sampled data is within the preset driving speed range, if the temperature of the drive motor or the temperature of the drive motor controller in a continuous preset number of sampled data is the preset disconnection temperature, then output the disconnection fault of the drive motor temperature sensor or the drive motor controller temperature sensor accordingly.
5. The abnormal detection method for the electric drive assembly according to claim 1, wherein After the outputting the early warning of abnormal sampled data, it includes: Send the output early warning of abnormal sampled data to the after-sales information system; After the corresponding output of the disconnection fault of the drive motor temperature sensor or the drive motor controller temperature sensor, it includes: Send the disconnection fault of the drive motor temperature sensor or the drive motor controller temperature sensor corresponding to the output to the after-sales information system.
6. An abnormal detection device for an electric drive assembly, characterized in that, The electric drive assembly abnormality detection device includes: A collection module for collecting electric drive assembly data of a vehicle in real time to obtain multiple pieces of sampled data; An abnormality detection module for detecting whether there is an abnormality in each piece of sampled data according to the minimum battery pack cell voltage, the maximum battery pack cell voltage, the drive motor temperature, the drive motor controller temperature, the drive motor controller input voltage, and the drive motor controller DC bus current of the sampled data; A first output module for outputting a sampled data abnormality warning when there is an abnormality in the sampled data; A second output module for, when all sampled data have no abnormalities, if it is detected that the temperature of the drive motor or the temperature of the drive motor controller in a continuous preset number of sampled data is a preset disconnection temperature, correspondingly output that the drive motor temperature sensor or the drive motor controller temperature sensor has a disconnection fault.
7. The abnormal detection device for the electric drive assembly according to claim 6, wherein, Take the minimum value of the voltages of all battery cells in the battery pack of the sampled data as the minimum battery pack cell voltage, and take the maximum value of the voltages of all battery cells in the battery pack of the sampled data as the maximum battery pack cell voltage.
8. The abnormal detection device for the electric drive assembly according to claim 6, characterized in that, The abnormality detection module is used for: If the minimum battery pack cell voltage or the maximum battery pack cell voltage of the sampled data is not within the first preset voltage range, or the drive motor temperature is not within the first preset temperature range, or the drive motor controller temperature is not within the second preset temperature range, or the drive motor controller input voltage is not within the second preset voltage range, or the drive motor controller DC bus current is not within the preset current range, then determine that the detection result is that there is an abnormality in the sampled data; If the minimum battery pack cell voltage and the maximum battery pack cell voltage of the sampled data are both within the first preset voltage range, and the drive motor temperature is within the first preset temperature range, and the drive motor controller temperature is within the second preset temperature range, and the drive motor controller input voltage is within the second preset voltage range, and the drive motor controller DC bus current is within the preset current range, then determine that the detection result is that there is no abnormality in the sampled data.
9. An abnormal detection device for an electric drive assembly, characterized in that, The electric drive assembly abnormality detection device includes a processor, a memory, and an electric drive assembly abnormality detection program stored on the memory and executable by the processor. When the electric drive assembly abnormality detection program is executed by the processor, the steps of the electric drive assembly abnormality detection method according to any one of claims 1 to 5 are implemented.
10. A readable storage medium, characterized in that, The readable storage medium stores an electric drive assembly abnormality detection program. When the electric drive assembly abnormality detection program is executed by a processor, the steps of the electric drive assembly abnormality detection method according to any one of claims 1 to 5 are implemented.