Self-learning anti-misinstallation identification method, device, vehicle and medium for dual lithium batteries

Abstract

This application relates to the technical field of vehicles, and particularly to a self-learning anti-misinstallation recognition method, device, vehicle and medium for dual lithium batteries. The method includes: determining the first level signal of the first hard wire connection port and the second level signal of the second hard wire connection port of the first lithium battery in the dual lithium batteries, as well as the third level signal of the first hard wire connection port and the fourth level signal of the second hard wire connection port of the second lithium battery, self-learning the first position bit of the first lithium battery based on the first level signal and the second level signal, self-learning the second position bit of the second lithium battery based on the third level signal and the fourth level signal, and synchronizing the first position bit and the second position bit to the first controller and the second controller respectively to perform anti-misinstallation recognition on the dual lithium batteries. Thus, the problems that two part numbers are required for the dual lithium batteries to identify their own positions through software strategies and bus interactions respectively, increasing the risk of misinstallation, etc. are solved.

Description

Technical Field

[0001] The present application relates to the technical field of vehicles, and particularly relates to a self-learning anti-misassembly identification method, device, vehicle and medium for dual lithium batteries. Background Art

[0002] With the rapid development of science and technology, the research and utilization of new energy have become a key link in the current social development. The dual lithium batteries being redundant backups for each other provide a good power supply method for vehicles, and at the same time, have also become an important link in the development of current new energy technologies.

[0003] In related technologies, most dual lithium battery models use dual lithium batteries to supply power to vehicles. Among them, in some models, the two lithium batteries respectively use different communication methods and hard wires to identify their own positions, and in some other models, the two communication software and buses corresponding to the two lithium batteries respectively interact through the same communication software and bus for the two corresponding part numbers of the two lithium batteries.

[0004] However, developing two sets of communication methods or developing the same communication method through two part numbers respectively increases the control requirements of the production line and the risk of misassembly, thus affecting the power supply performance of the dual lithium batteries, which urgently needs to be solved. Summary of the Invention

[0005] The present application provides a self-learning anti-misassembly identification method, device, vehicle and medium for dual lithium batteries to solve problems such as that the dual lithium batteries need two part numbers to respectively identify their own positions through software strategies and bus interactions, increasing the risk of misassembly.

[0006] The first aspect embodiment of the present application provides a self-learning anti-misassembly identification method for dual lithium batteries, including the following steps:

[0007] Determine a first level signal of a first hard wire connection port of a first lithium battery and a second level signal of a second hard wire connection port of the first lithium battery in the dual lithium batteries, as well as a third level signal of a first hard wire connection port of a second lithium battery and a fourth level signal of a second hard wire connection port of the second lithium battery;

[0008] Self-learn a first position bit of the first lithium battery based on the first level signal and the second level signal, and self-learn a second position bit of the second lithium battery based on the third level signal and the fourth level signal; and

[0009] Synchronize the first position bit to a first controller, and synchronize the second position bit to a second controller, so as to use the first controller and the second controller to perform anti-misassembly identification on the dual lithium batteries.

[0010] According to an embodiment of the present application, the anti-misassembly identification of the dual lithium batteries by using the first controller and the second controller includes:

[0011] Obtain the diagnostic request signal of the dual lithium batteries;

[0012] Send the diagnostic request signal to the first lithium battery and the second lithium battery of the dual lithium batteries respectively, and receive the first position information fed back by the first lithium battery based on the diagnostic request signal and the second position information fed back by the second lithium battery based on the diagnostic request signal;

[0013] Use the first controller to obtain the anti-misassembly information of the first lithium battery according to the first position information and the first position bit, use the second controller to obtain the anti-misassembly information of the second lithium battery according to the second position information and the second position bit, and obtain the anti-misassembly identification result of the dual lithium batteries according to the anti-misassembly information of the first lithium battery and the anti-misassembly information of the second lithium battery.

[0014] According to an embodiment of the present application, the sending the diagnostic request signal to the first lithium battery and the second lithium battery of the dual lithium batteries respectively includes:

[0015] Obtain a first identification signal and a second identification signal according to the diagnostic request signal;

[0016] Send the first identification signal to the first lithium battery in a directed manner at a first preset position, and send the second identification signal to the second lithium battery in a directed manner at a second preset position.

[0017] According to an embodiment of the present application, before obtaining the diagnostic request signal of the dual lithium batteries, it further includes:

[0018] Determine the current configuration of the dual lithium batteries;

[0019] Perform configuration identification on the dual lithium batteries according to the current configuration.

[0020] According to an embodiment of the present application, after obtaining the anti-misassembly identification result of the dual lithium batteries according to the anti-misassembly information of the first lithium battery and the anti-misassembly information of the second lithium battery, it further includes:

[0021] Judge whether the first lithium battery and the second lithium battery are in a misassembled state;

[0022] If the first lithium battery and the second lithium battery are in a misassembled state, generate a misassembly warning reminder for the dual lithium batteries.

[0023] The self - learning anti - misassembly recognition method for a dual - lithium battery according to an embodiment of the present application determines the first level signal of the first hard - wire connection port and the second level signal of the second hard - wire connection port of the first lithium battery in the dual - lithium battery, as well as the third level signal of the first hard - wire connection port and the fourth level signal of the second hard - wire connection port of the second lithium battery. Based on the first level signal and the second level signal, the first position bit of the first lithium battery is obtained through self - learning, and based on the third level signal and the fourth level signal, the second position bit of the second lithium battery is obtained through self - learning. Then, the first position bit and the second position bit are respectively synchronized to the first controller and the second controller to perform anti - misassembly recognition on the dual - lithium battery. Thus, the problems that two part numbers of the dual - lithium battery are required to identify their own positions through software strategies and bus interactions respectively, increasing the risk of misassembly, are solved. By identifying hard - wire signals for self - learning and harness synchronization, the position installation result of the dual - lithium battery can be quickly identified and the power supply requirements for the vehicle can be met.

[0024] An embodiment of the second aspect of the present application provides a self - learning anti - misassembly recognition device for a dual - lithium battery, including:

[0025] A determination module, configured to determine the first level signal of the first hard - wire connection port of the first lithium battery and the second level signal of the second hard - wire connection port of the first lithium battery in the dual - lithium battery, as well as the third level signal of the first hard - wire connection port of the second lithium battery and the fourth level signal of the second hard - wire connection port of the second lithium battery;

[0026] A self - learning module, configured to obtain the first position bit of the first lithium battery through self - learning based on the first level signal and the second level signal, and obtain the second position bit of the second lithium battery through self - learning based on the third level signal and the fourth level signal; and

[0027] A synchronization module, configured to synchronize the first position bit to the first controller and synchronize the second position bit to the second controller, so as to perform anti - misassembly recognition on the dual - lithium battery by using the first controller and the second controller.

[0028] According to an embodiment of the present application, the synchronization module is specifically configured to:

[0029] Obtain the diagnostic request signal of the dual - lithium battery;

[0030] Send the diagnostic request signal to the first lithium battery and the second lithium battery of the dual - lithium battery respectively, and receive the first position information fed back by the first lithium battery based on the diagnostic request signal and the second position information fed back by the second lithium battery based on the diagnostic request signal;

[0031] The first controller is used to obtain the anti-misassembly information of the first lithium battery according to the first position information and the first position bit, the second controller is used to obtain the anti-misassembly information of the second lithium battery according to the second position information and the second position bit, and the anti-misassembly identification result of the dual lithium batteries is obtained according to the anti-misassembly information of the first lithium battery and the anti-misassembly information of the second lithium battery.

[0032] According to an embodiment of the present application, the synchronization module is specifically configured to:

[0033] Obtain a first identification signal and a second identification signal according to the diagnostic request signal;

[0034] Directly send the first identification signal to the first lithium battery at a first preset position, and directly send the second identification signal to the second lithium battery at a second preset position.

[0035] According to an embodiment of the present application, before obtaining the diagnostic request signal of the dual lithium batteries, the synchronization module is further used to:

[0036] Determine the current configuration of the dual lithium batteries;

[0037] Perform configuration identification on the dual lithium batteries according to the current configuration.

[0038] According to an embodiment of the present application, after obtaining the anti-misassembly identification result of the dual lithium batteries according to the anti-misassembly information of the first lithium battery and the anti-misassembly information of the second lithium battery, the synchronization module is further used to:

[0039] Judge whether the first lithium battery and the second lithium battery are in a misassembly state;

[0040] If the first lithium battery and the second lithium battery are in a misassembly state, generate a misassembly warning reminder for the dual lithium batteries.

[0041] The self-learning anti-misassembly recognition device for dual lithium batteries according to the embodiments of the present application determines the first level signal of the first hard wire connection port and the second level signal of the second hard wire connection port of the first lithium battery in the dual lithium batteries, as well as the third level signal of the first hard wire connection port and the fourth level signal of the second hard wire connection port of the second lithium battery. Based on the first level signal and the second level signal, the first position bit of the first lithium battery is obtained through self-learning. Based on the third level signal and the fourth level signal, the second position bit of the second lithium battery is obtained through self-learning. The first position bit and the second position bit are respectively synchronized to the first controller and the second controller to perform anti-misassembly recognition on the dual lithium batteries. Thus, the problems that two part numbers of dual lithium batteries are required to identify their own positions through software strategies and bus interactions respectively, increasing the risk of misassembly, etc. are solved. By identifying the hard wire signals for self-learning and harness synchronization, the position installation result of the dual lithium batteries can be quickly identified and the power supply requirements of the vehicle can be met.

[0042] An embodiment of the third aspect of the present application provides a vehicle, including: a memory, a processor, and a computer program stored on the memory and executable on the processor. The processor executes the program to implement the self-learning anti-misassembly recognition method for dual lithium batteries as described in the above embodiments.

[0043] An embodiment of the fourth aspect of the present application provides a computer-readable storage medium, on which a computer program is stored. The program is executed by a processor to be used to implement the self-learning anti-misassembly recognition method for dual lithium batteries as described in the above embodiments.

[0044] Additional aspects and advantages of the present application will be given in part in the following description, become apparent in part from the following description, or be learned through the practice of the present application. Description of the Drawings

[0045] The above and / or additional aspects and advantages of the present application will become apparent and be readily understood from the following description of the embodiments in conjunction with the drawings, where:

[0046] Figure 1 is a flowchart of a self-learning anti-misassembly recognition method for dual lithium batteries according to an embodiment of the present application;

[0047] Figure 2 is a schematic diagram of network signals of dual lithium batteries according to an embodiment of the present application;

[0048] Figure 3 is a schematic diagram of diagnostic signals of dual lithium batteries according to an embodiment of the present application;

[0049] Figure 4 is a block diagram example of a self-learning anti-misassembly recognition device for dual lithium batteries according to an embodiment of the present application;

[0050] Figure 5 It is a schematic structural diagram of a vehicle according to an embodiment of the present application. Specific Embodiments

[0051] Embodiments of the present application will be described in detail below. Examples of the embodiments are shown in the accompanying drawings, where the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to explain the present application, and should not be construed as a limitation of the present application.

[0052] A self-learning anti-misinstallation identification method, device, vehicle and medium for dual lithium batteries according to embodiments of the present application will be described below. Regarding the problem that the dual lithium batteries mentioned in the above background technology require two part numbers to identify their own positions through software strategies and bus interactions respectively, increasing the risk of misinstallation, the present application provides a self-learning anti-misinstallation identification method for dual lithium batteries. In this method, by determining the first level signal of the first hard wire connection port and the second level signal of the second hard wire connection port of the first lithium battery in the dual lithium batteries, and the third level signal of the first hard wire connection port and the fourth level signal of the second hard wire connection port of the second lithium battery, the first position bit of the first lithium battery is obtained through self-learning based on the first level signal and the second level signal, and the second position bit of the second lithium battery is obtained through self-learning based on the third level signal and the fourth level signal, and the first position bit and the second position bit are respectively synchronized to the first controller and the second controller to perform anti-misinstallation identification on the dual lithium batteries. Thus, the problems that the dual lithium batteries require two part numbers to identify their own positions through software strategies and bus interactions respectively, increasing the risk of misinstallation, etc. are solved. By identifying the hard wire signals for self-learning and harness synchronization, the position installation result of the dual lithium batteries can be quickly identified and the power supply requirements for the vehicle can be met.

[0053] Specifically, Figure 1 It is a schematic flow chart of a self-learning anti-misinstallation identification method for dual lithium batteries provided by an embodiment of the present application.

[0054] As Figure 1 shown, the self-learning anti-misinstallation identification method for the dual lithium batteries includes the following steps:

[0055] In step S101, determine the first level signal of the first hard wire connection port of the first lithium battery and the second level signal of the second hard wire connection port of the first lithium battery in the dual lithium batteries, and the third level signal of the first hard wire connection port of the second lithium battery and the fourth level signal of the second hard wire connection port of the second lithium battery.

[0056] Specifically, in the embodiment of the present application, for the self-learning and anti-misassembly recognition of dual lithium batteries, one part number integrates two sets of logic communication strategies, namely, the first level signal of the first hard wire connection port of the first lithium battery in the front network segment of the vehicle front compartment and the second level signal of the second hard wire connection port of the first lithium battery, and the third level signal of the first hard wire connection port of the second lithium battery and the fourth level signal of the second hard wire connection port of the second lithium battery in the rear network segment of the vehicle rear trunk.

[0057] Specifically, as Figure 2 shown, 0x0 represents the first lithium battery in the front network segment of the vehicle front compartment. The first level signal of its corresponding first hard wire connection port of the first lithium battery is that the 5-pin is suspended, and the second level signal of the second hard wire connection port of the first lithium battery is that the 6-pin is at a low level; 0x1 represents the second lithium battery in the rear network segment of the vehicle rear trunk. The third level signal of its corresponding first hard wire connection port of the second lithium battery is that the 5-pin is at a low level, and the fourth level signal of the second hard wire connection port of the second lithium battery is that the 6-pin is suspended.

[0058] In step S102, the first position setting of the first lithium battery is obtained through self-learning based on the first level signal and the second level signal, and the second position setting of the second lithium battery is obtained through self-learning based on the third level signal and the fourth level signal.

[0059] Specifically, in the embodiment of the present application, by identifying the first hard wire port signal and the second hard wire port signal of the first lithium battery, and the first hard wire port signal and the second hard wire port signal of the second lithium battery, the obtained first level signal and second level signal are used for self-learning to obtain the first position setting of the first lithium battery, that is, to identify its FLBMS (Battery Management System), and the third level signal and the fourth level signal are used for self-learning to obtain the second position setting of the second lithium battery, that is, to identify its RLBMS.

[0060] In step S103, the first position setting is synchronized to the first controller, and the second position setting is synchronized to the second controller, so as to use the first controller and the second controller to perform anti-misassembly recognition on the dual lithium batteries.

[0061] Specifically, in the embodiment of the present application, the first position setting and the second position setting are respectively synchronized to the first controller, that is, the FLZCU controller, and the second controller, that is, the RZCU controller, so as to use the FLZCU controller and the RZCU controller to perform anti-misassembly recognition on the dual lithium batteries.

[0062] Further, in some embodiments, the first controller and the second controller are used to identify the anti-misassembly of the dual lithium batteries, including: obtaining a diagnostic request signal of the dual lithium batteries; respectively sending the diagnostic request signal to the first lithium battery and the second lithium battery of the dual lithium batteries, and receiving the first position information fed back by the first lithium battery based on the diagnostic request signal and the second position information fed back by the second lithium battery based on the diagnostic request signal; using the first controller to obtain the anti-misassembly information of the first lithium battery according to the first position information and the first position bit, using the second controller to obtain the anti-misassembly information of the second lithium battery according to the second position information and the second position bit, and obtaining the anti-misassembly identification result of the dual lithium batteries according to the anti-misassembly information of the first lithium battery and the anti-misassembly information of the second lithium battery.

[0063] Further, in some embodiments, respectively sending the diagnostic request signal to the first lithium battery and the second lithium battery of the dual lithium batteries includes: obtaining a first identification signal and a second identification signal according to the diagnostic request signal; directionally sending the first identification signal to the first lithium battery at a first preset position, and directionally sending the second identification signal to the second lithium battery at a second preset position.

[0064] Further, in some embodiments, before obtaining the diagnostic request signal of the dual lithium batteries, it further includes: determining the current configuration of the dual lithium batteries; performing configuration identification on the dual lithium batteries according to the current configuration.

[0065] Wherein, the first preset position and the second preset position can be preset positions set by those skilled in the art according to the function configuration and power supply requirements of the vehicle, or can be preset positions obtained through multiple computer simulations, and specific limitations are not made here.

[0066] Specifically, before obtaining the diagnostic request signal of the dual lithium batteries in the embodiment of the present application, it is first necessary to perform configuration identification on the current software and hardware configuration of the dual lithium batteries. If it is identified that the current software and hardware configuration of the dual lithium batteries is a low - configuration version, only 1 LBMS is installed in the vehicle. If it is identified that the current software and hardware configuration of the dual lithium batteries is a high - configuration version, 2 LBMSs are installed in the vehicle to prevent the occurrence of DTC (Diagnostic Trouble Code) fault codes due to node loss.

[0067] Further, as Figure 3As shown, after the embodiments of the present application identify the current software and hardware configuration of the dual lithium batteries, the two sets of integrated diagnostic requests are respectively denoted as MsgIDA and MsgIDB. During the process of using the FLZCU controller and the RZCU controller to identify the anti-misassembly of the dual lithium batteries, it is first necessary to obtain the diagnostic request signals of the dual lithium batteries, obtain the first identification signal of the first lithium battery and the second identification signal of the second lithium battery, and the FLZCU controller sends the first identification signal to the first lithium battery in the left front network segment of the vehicle front compartment, and the RZCU controller sends the second identification signal to the second lithium battery in the rear network segment of the rear trunk, so as to receive the first position information fed back by the first lithium battery based on the first identification signal and make a response reply, and the second position information fed back by the second lithium battery based on the second identification signal and make a response reply; secondly, after obtaining the first position information and the second position information, the FLZCU controller is used to compare the first position information with the data information of the first position bit to obtain the anti-misassembly information of the first lithium battery, and the RZCU controller is used to compare the second position information with the data information of the second position bit to obtain the anti-misassembly information of the second lithium battery, so as to obtain the anti-misassembly identification result of the dual lithium batteries according to the anti-misassembly information of the first lithium battery and the anti-misassembly information of the second lithium battery.

[0068] Further, in some embodiments, after obtaining the anti-misassembly identification result of the dual lithium batteries according to the anti-misassembly information of the first lithium battery and the anti-misassembly information of the second lithium battery, it further includes: determining whether the first lithium battery and the second lithium battery are in a misassembled state; if the first lithium battery and the second lithium battery are in a misassembled state, a misassembly warning reminder for the dual lithium batteries is generated.

[0069] Specifically, in the embodiments of the present application, based on the anti-misassembly identification result obtained from the anti-misassembly information of the first lithium battery and the anti-misassembly information of the second lithium battery, it is further necessary to determine whether the first lithium battery and the second lithium battery are in a misassembled state. If the first lithium battery and the second lithium battery are not in a misassembled state, the vehicle is powered according to the installation position of the current dual lithium batteries; if the first lithium battery and the second lithium battery are in a misassembled state, a misassembly warning reminder for the dual lithium batteries is generated. For example, the misassembly warning reminder can be carried out through optical reminder devices such as LED (Light Emitting Diode) lights and in-vehicle displays, or through acoustic reminder devices such as in-vehicle horns and speakers, and the position information of the first lithium battery and the second lithium battery is corrected according to the misassembly warning reminder to meet the normal power supply requirements of the vehicle.

[0070] According to the self-learning anti-misassembly identification method of a dual lithium battery according to an embodiment of the present application, by determining the first level signal of the first hard wire connection port and the second level signal of the second hard wire connection port of the first lithium battery in the dual lithium battery, and the third level signal of the first hard wire connection port and the fourth level signal of the second hard wire connection port of the second lithium battery, the first position bit of the first lithium battery is obtained by self-learning based on the first level signal and the second level signal, and the second position bit of the second lithium battery is obtained by self-learning based on the third level signal and the fourth level signal, and the first position bit and the second position bit are respectively synchronized to the first controller and the second controller to perform anti-misassembly identification on the dual lithium battery. Thus, the problems that two part numbers of the dual lithium battery are required to identify their own positions through software strategies and bus interactions respectively, increasing the risk of misassembly, etc. are solved. By identifying hard wire signals for self-learning and harness synchronization, the position installation result of the dual lithium battery can be quickly identified and the power supply requirements for the vehicle can be met.

[0071] Next, a self-learning anti-misassembly identification device for a dual lithium battery according to an embodiment of the present application will be described with reference to the accompanying drawings.

[0072] Figure 4 It is a block diagram of a self-learning anti-misassembly identification device for a dual lithium battery according to an embodiment of the present application.

[0073] As Figure 4 shown, the self-learning anti-misassembly identification device 10 for the dual lithium battery includes: a determination module 100, a self-learning module 200, and a synchronization module 300.

[0074] Among them, the determination module 100 is used to determine the first level signal of the first hard wire connection port of the first lithium battery and the second level signal of the second hard wire connection port of the first lithium battery in the dual lithium battery, and the third level signal of the first hard wire connection port of the second lithium battery and the fourth level signal of the second hard wire connection port of the second lithium battery;

[0075] The self-learning module 200 is used to obtain the first position bit of the first lithium battery by self-learning based on the first level signal and the second level signal, and obtain the second position bit of the second lithium battery by self-learning based on the third level signal and the fourth level signal; and

[0076] The synchronization module 300 is used to synchronize the first position bit to the first controller and synchronize the second position bit to the second controller to perform anti-misassembly identification on the dual lithium battery by using the first controller and the second controller.

[0077] Furthermore, in some embodiments, the synchronization module 300 is specifically used for:

[0078] Obtain the diagnostic request signal of the dual lithium battery;

[0079] Send diagnostic request signals to the first lithium battery and the second lithium battery of the dual lithium batteries respectively, and receive the first position information fed back by the first lithium battery based on the diagnostic request signal and the second position information fed back by the second lithium battery based on the diagnostic request signal;

[0080] Use the first controller to obtain the anti-misassembly information of the first lithium battery according to the first position information and the first position bit, use the second controller to obtain the anti-misassembly information of the second lithium battery according to the second position information and the second position bit, and obtain the anti-misassembly recognition result of the dual lithium batteries according to the anti-misassembly information of the first lithium battery and the anti-misassembly information of the second lithium battery.

[0081] Further, in some embodiments, the synchronization module 300 is specifically configured to:

[0082] Obtain a first identification signal and a second identification signal according to the diagnostic request signal;

[0083] Directly send the first identification signal to the first lithium battery at the first preset position, and directly send the second identification signal to the second lithium battery at the second preset position.

[0084] Further, in some embodiments, before obtaining the diagnostic request signal of the dual lithium batteries, the synchronization module 300 is further configured to:

[0085] Determine the current configuration of the dual lithium batteries;

[0086] Perform configuration identification on the dual lithium batteries according to the current configuration.

[0087] Further, in some embodiments, after obtaining the anti-misassembly recognition result of the dual lithium batteries according to the anti-misassembly information of the first lithium battery and the anti-misassembly information of the second lithium battery, the synchronization module 300 is further configured to:

[0088] Judge whether the first lithium battery and the second lithium battery are in a misassembled state;

[0089] If the first lithium battery and the second lithium battery are in a misassembled state, generate a misassembly warning reminder for the dual lithium batteries.

[0090] The self-learning anti-misassembly recognition device for dual lithium batteries according to the embodiments of the present application determines the first level signal of the first hard wire connection port and the second level signal of the second hard wire connection port of the first lithium battery in the dual lithium batteries, as well as the third level signal of the first hard wire connection port and the fourth level signal of the second hard wire connection port of the second lithium battery. Based on the first level signal and the second level signal, the first position bit of the first lithium battery is obtained through self-learning. Based on the third level signal and the fourth level signal, the second position bit of the second lithium battery is obtained through self-learning. The first position bit and the second position bit are respectively synchronized to the first controller and the second controller to perform anti-misassembly recognition on the dual lithium batteries. Thus, the problems that two part numbers of the dual lithium batteries are required to identify their own positions through software strategies and bus interactions respectively, increasing the risk of misassembly, etc. are solved. By identifying the hard wire signals for self-learning and harness synchronization, the position installation result of the dual lithium batteries can be quickly identified and the power supply requirements of the vehicle can be met.

[0091] Figure 5 The structural schematic diagram of the vehicle provided by the embodiments of the present application. The vehicle may include:

[0092] A memory 501, a processor 502, and a computer program stored on the memory 501 and executable on the processor 502.

[0093] When the processor 502 executes the program, it implements the self-learning anti-misassembly recognition method for dual lithium batteries provided in the above embodiments.

[0094] Further, the vehicle further includes:

[0095] A communication interface 503 for communication between the memory 501 and the processor 502.

[0096] The memory 501 is used to store a computer program executable on the processor 502.

[0097] The memory 501 may include a high-speed RAM memory, and may also include a non-volatile memory, such as at least one disk memory.

[0098] If the memory 501, the processor 502, and the communication interface 503 are implemented independently, the communication interface 503, the memory 501, and the processor 502 can be interconnected via a bus and communicate with each other. The bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, or the like. The bus can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 5 only a thick line is used in Figure 5 , but this does not mean that there is only one bus or one type of bus.

[0099] Optionally, in a specific implementation, if the memory 501, the processor 502, and the communication interface 503 are integrated on a single chip, the memory 501, the processor 502, and the communication interface 503 can communicate with each other through an internal interface.

[0100] The processor 502 may be a Central Processing Unit (CPU), or an Application Specific Integrated Circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of the present application.

[0101] The embodiments of the present application further provide a computer-readable storage medium, on which a computer program is stored, and when the program is executed by a processor, the self-learning anti-misassembly recognition method of the dual lithium batteries as described above is implemented.

[0102] In the description of this specification, the descriptions with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples", etc. mean that the specific features, structures, materials, or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials, or characteristics described can be combined in a suitable manner in any one or N embodiments or examples. In addition, without conflict, those skilled in the art can combine and combine the different embodiments or examples described in this specification and the features of different embodiments or examples.

[0103] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the quantity of the indicated technical features. Thus, features defined with "first" and "second" may explicitly or implicitly include at least one such feature. In the description of the present application, the meaning of "N" is at least two, such as two, three, etc., unless otherwise specifically defined.

[0104] Any process or method description represented in a flowchart or described otherwise herein can be understood to represent a module, segment, or portion of code including one or more N executable instructions for implementing a customized logical function or process. The scope of the preferred embodiments of the present application includes additional implementations, where the functions may be executed in a substantially simultaneous manner or in the reverse order according to the functions involved, rather than in the order shown or discussed, which should be understood by those skilled in the art to which the embodiments of the present application pertain.

[0105] The logic and / or steps represented in a flowchart or described otherwise herein, for example, can be considered as a sequenced list of executable instructions for implementing a logical function, and can be specifically implemented in any computer-readable medium for use by an instruction execution system, apparatus, or device (such as a computer-based system, a system including a processor, or other systems that can fetch and execute instructions from the instruction execution system, apparatus, or device), or in connection with these instruction execution systems, apparatus, or devices. For the purposes of this specification, a "computer-readable medium" can be any device that can contain, store, communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of the computer-readable medium include the following: an electrical connection portion with one or more wirings (electronic device), a portable computer diskette (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). Additionally, the computer-readable medium can even be paper or other suitable media on which a program can be printed, because the program can be obtained electronically, for example, by optically scanning the paper or other media, followed by editing, interpretation, or other appropriate processing as necessary, and then stored in a computer memory.

[0106] It should be understood that various parts of the present application can be implemented by hardware, software, firmware, or a combination thereof. In the above embodiments, the N steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, any one of the following techniques known in the art or a combination thereof can be used: discrete logic circuits with logic gate circuits for implementing logical functions on data signals, application-specific integrated circuits with suitable combinational logic gate circuits, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc.

[0107] Those of ordinary skill in the art can understand that all or part of the steps carried out in the methods of the above embodiments can be completed by instructing relevant hardware through a program. The program can be stored in a computer-readable storage medium. When the program is executed, it includes one or a combination of the steps of the method embodiments.

[0108] In addition, in each embodiment of the present application, the functional units can be integrated into a processing module, or each unit can exist physically alone, or two or more units can be integrated into one module. The above integrated module can be implemented in the form of hardware or in the form of a software functional module. When the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it can also be stored in a computer-readable storage medium.

[0109] The above-mentioned storage medium can be a read-only memory, a magnetic disk, an optical disc, etc. Although the embodiments of the present application have been shown and described above, it can be understood that the above embodiments are exemplary and should not be construed as limiting the present application. Those of ordinary skill in the art can make changes, modifications, substitutions, and variations to the above embodiments within the scope of the present application.

Claims

1. A self-learning anti-misinstallation recognition method for dual lithium batteries, characterized in that, Including the following steps: Determine the first level signal of the first hard wire connection port of the first lithium battery in the dual lithium batteries, and the second level signal of the second hard wire connection port of the first lithium battery, as well as the third level signal of the first hard wire connection port of the second lithium battery and the fourth level signal of the second hard wire connection port of the second lithium battery; Based on the first level signal and the second level signal, self-learn to obtain the first position setting of the first lithium battery, and based on the third level signal and the fourth level signal, self-learn to obtain the second position setting of the second lithium battery; And Synchronize the first position setting to the first controller, and synchronize the second position setting to the second controller, so as to use the first controller and the second controller to perform anti-misassembly identification on the dual lithium batteries; Wherein, the use of the first controller and the second controller to perform anti-misassembly identification on the dual lithium batteries includes: obtaining a diagnostic request signal of the dual lithium batteries; respectively sending the diagnostic request signal to the first lithium battery and the second lithium battery of the dual lithium batteries, and receiving the first position information fed back by the first lithium battery based on the diagnostic request signal and the second position information fed back by the second lithium battery based on the diagnostic request signal; using the first controller to obtain the anti-misassembly information of the first lithium battery according to the first position information and the first position setting, using the second controller to obtain the anti-misassembly information of the second lithium battery according to the second position information and the second position setting, and obtaining the anti-misassembly identification result of the dual lithium batteries according to the anti-misassembly information of the first lithium battery and the anti-misassembly information of the second lithium battery.

2. The method according to claim 1, characterized in that, The respectively sending the diagnostic request signal to the first lithium battery and the second lithium battery of the dual lithium batteries includes: Obtaining a first identification signal and a second identification signal according to the diagnostic request signal; Directly sending the first identification signal to the first lithium battery at a first preset position, and directly sending the second identification signal to the second lithium battery at a second preset position.

3. The method according to claim 2, characterized in that, Before obtaining the diagnostic request signal of the dual lithium batteries, it further includes: Determining the current configuration situation of the dual lithium batteries; According to the current configuration situation, perform configuration identification on the dual lithium batteries.

4. The method according to claim 1, wherein After obtaining the anti-misassembly identification result of the dual lithium batteries according to the anti-misassembly information of the first lithium battery and the anti-misassembly information of the second lithium battery, it further includes: Judging whether the first lithium battery and the second lithium battery are in a misassembled state; If the first lithium battery and the second lithium battery are in a misassembled state, generate a misassembly warning reminder for the dual lithium batteries.

5. A self-learning anti-misassembly recognition device for dual lithium batteries, characterized in that, Including: A determination module, configured to determine the first level signal of the first hard wire connection port of the first lithium battery in the dual lithium batteries, and the second level signal of the second hard wire connection port of the first lithium battery, as well as the third level signal of the first hard wire connection port of the second lithium battery and the fourth level signal of the second hard wire connection port of the second lithium battery; A self-learning module for self-learning to obtain a first position setting of the first lithium battery based on the first level signal and the second level signal, and self-learning to obtain a second position setting of the second lithium battery based on the third level signal and the fourth level signal; And A synchronization module for synchronizing the first position setting to a first controller and synchronizing the second position setting to a second controller, so as to use the first controller and the second controller to perform anti-misassembly identification on the dual lithium batteries; Wherein, the synchronization module is specifically configured to: obtain a diagnostic request signal of the dual lithium batteries; respectively send the diagnostic request signal to the first lithium battery and the second lithium battery of the dual lithium batteries, and receive a first position information fed back by the first lithium battery based on the diagnostic request signal and a second position information fed back by the second lithium battery based on the diagnostic request signal; use the first controller to obtain anti-misassembly information of the first lithium battery according to the first position information and the first position setting, use the second controller to obtain anti-misassembly information of the second lithium battery according to the second position information and the second position setting, and obtain an anti-misassembly identification result of the dual lithium batteries according to the anti-misassembly information of the first lithium battery and the anti-misassembly information of the second lithium battery.

6. The device according to claim 5, characterized in that The synchronization module is specifically configured to: Obtain a first identification signal and a second identification signal according to the diagnostic request signal; Directly send the first identification signal to the first lithium battery at a first preset position, and directly send the second identification signal to the second lithium battery at a second preset position.

7. A vehicle, characterized in that, Including: A memory, a processor, and a computer program stored on the memory and executable on the processor, where the processor executes the program to implement the self-learning anti-misassembly identification method for dual lithium batteries according to any one of claims 1-4.

8. A computer-readable storage medium having a computer program stored thereon, characterized in that, The program is executed by the processor to be used to implement the self-learning anti-misassembly identification method for dual lithium batteries according to any one of claims 1-4.

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