Charging cooperative control method and device for low-voltage lithium ion battery and storage medium

Abstract

The invention discloses a charging cooperative control method, device and equipment of a low-voltage lithium ion battery and a computer readable storage medium, and the method comprises the steps: determining a to-be-switched charging mode of the low-voltage lithium ion battery according to the obtained SOC of the low-voltage lithium ion battery, and enabling the charging mode to comprise a trickle charging mode; a first target signal is sent to a VCU through a BMS, so that the VCU cuts off an excitation circuit of a generator based on the target signal; when it is detected that the VCU cuts off the excitation circuit of the generator, the charging mode of the low-voltage lithium ion battery is controlled to be a trickle charging mode, and the technical problems that in the prior art, the operation of switching a current limiting module can cause the generator to lose load suddenly, and consequently voltage rise and power supply instability are caused are solved; the generator load throwing risk caused by sudden change of charging current of the low-voltage lithium ion battery is eliminated.

Description

Technical Field

[0001] This application relates to the field of battery charging technology, specifically to a method, apparatus, device, and computer-readable storage medium for the coordinated charging control of low-voltage lithium-ion batteries. Background Technology

[0002] In electric or hybrid vehicles, low-voltage lithium-ion batteries (such as 12V or 24V batteries) are typically used to power onboard electronics and auxiliary systems. During charging, the battery management system (BMS) adjusts the charging current based on the battery's state of charge (SOC). As the SOC approaches full charge, the BMS switches to trickle charging mode to prevent overcharging of the low-voltage lithium-ion battery. However, this switching of the current-limiting module can cause the alternator to suddenly lose load, leading to voltage spikes and power instability. These voltage fluctuations can have unpredictable effects on the entire vehicle's power system and may even damage other electronic devices. Summary of the Invention

[0003] This application provides a charging coordination control method, apparatus, device, and computer-readable storage medium for low-voltage lithium-ion batteries, which can solve the technical problem in the prior art that the operation of switching the current limiting module will cause the generator to suddenly lose load, thereby causing voltage rise and power instability.

[0004] In a first aspect, embodiments of this application provide a charging coordination control method for a low-voltage lithium-ion battery, the charging coordination control method for the low-voltage lithium-ion battery comprising: Based on the obtained SOC of the low-voltage lithium-ion battery, determine the charging mode that the low-voltage lithium-ion battery needs to switch to, wherein the charging mode includes trickle charging mode. The BMS sends a first target signal to the VCU, so that the VCU cuts off the generator's excitation circuit based on the target signal; When the VCU detects that the generator's excitation circuit has been cut off, the charging mode of the low-voltage lithium-ion battery is controlled to trickle charging mode.

[0005] In conjunction with the first aspect, in one embodiment, after controlling the charging mode of the low-voltage lithium-ion battery to trickle charging mode, the method further includes: The BMS sends a second target signal to the VCU, so that the VCU can turn on the excitation circuit of the generator based on the second target signal.

[0006] In conjunction with the first aspect, in one embodiment, after controlling the charging mode of the low-voltage lithium-ion battery to trickle charging mode, the method further includes: If the BMS detects that it has not sent a second target signal to the VCU within a preset time period, the VCU will automatically turn on the excitation circuit of the generator.

[0007] In conjunction with the first aspect, in one embodiment, when the VCU is detected to have cut off the generator's excitation circuit, controlling the charging mode of the low-voltage lithium-ion battery to a trickle charging mode includes: When the VCU detects that the generator's excitation circuit has been cut off, a switching command is sent to the current limiting module; Based on the switching command, the current limiting module is switched to control the charging mode of the low-voltage lithium-ion battery to trickle charging mode.

[0008] In conjunction with the first aspect, in one embodiment, determining the charging mode to be switched for the low-voltage lithium-ion battery based on the obtained SOC of the low-voltage lithium-ion battery includes: Obtain the state of charge (SOC) of the low-voltage lithium-ion battery; If the SOC of the low-voltage lithium-ion battery is greater than or equal to a preset threshold, the charging mode that the low-voltage lithium-ion battery needs to switch to is determined.

[0009] In conjunction with the first aspect, in one embodiment, obtaining the SOC of the low-voltage lithium-ion battery includes: The voltage, current, temperature, and cycle number of the low-voltage lithium-ion battery are obtained. Based on a pre-set neural network model, the SOC of the low-pressure lithium-ion battery is obtained by the output of the pre-set neural network model according to the voltage, current, temperature and cycle number of the low-pressure lithium-ion battery.

[0010] In conjunction with the first aspect, in one embodiment, before obtaining the SOC of the low-voltage lithium-ion battery based on the voltage, current, temperature, and cycle number of the low-voltage lithium-ion battery according to the preset neural network model, the method further includes: Obtain the training dataset, wherein the training dataset includes multiple sets of training data, and each set of training data includes the training voltage, the training current, the training temperature, and the number of training cycles; The preset neural network is trained based on the dataset to be trained, and a preset neural network model is generated.

[0011] Secondly, embodiments of this application provide a charging coordination control device for a low-voltage lithium-ion battery, the charging coordination control device for the low-voltage lithium-ion battery comprising: The determination module is used to determine the charging mode that the low-voltage lithium-ion battery needs to switch to based on the obtained SOC of the low-voltage lithium-ion battery, wherein the charging mode includes trickle charging mode. The disconnection module is used to send a first target signal to the VCU via the BMS, so that the VCU disconnects the excitation circuit of the generator based on the target signal; The control module is used to control the charging mode of the low-voltage lithium-ion battery to trickle charging mode when it detects that the VCU has cut off the excitation circuit of the generator.

[0012] Thirdly, embodiments of this application provide a charging coordination control device for a low-voltage lithium-ion battery. The charging coordination control device for a low-voltage lithium-ion battery includes a processor, a memory, and a charging coordination control program for a low-voltage lithium-ion battery stored in the memory and executable by the processor. When the charging coordination control program for a low-voltage lithium-ion battery is executed by the processor, it implements the steps of the charging coordination control method for a low-voltage lithium-ion battery as described above.

[0013] Fourthly, embodiments of this application provide a computer-readable storage medium storing a charging coordination control program for a low-voltage lithium-ion battery. When the charging coordination control program for the low-voltage lithium-ion battery is executed by a processor, it implements the steps of the charging coordination control method for the low-voltage lithium-ion battery as described above.

[0014] The beneficial effects of the technical solutions provided in this application include: Based on the obtained SOC of the low-voltage lithium-ion battery, the charging mode to be switched to is determined, wherein the charging mode includes trickle charging mode; a first target signal is sent to the VCU via the BMS, so that the VCU cuts off the generator's excitation circuit based on the target signal; when the VCU cuts off the generator's excitation circuit, the charging mode of the low-voltage lithium-ion battery is controlled to trickle charging mode, which solves the technical problem in the prior art that the operation of switching the current limiting module will cause the generator to suddenly lose load, thereby causing voltage rise and power instability, and eliminates the risk of generator load dump caused by sudden changes in the charging current of the low-voltage lithium-ion battery. Attached Figure Description

[0015] Figure 1 This is a flowchart illustrating the first embodiment of the charging coordination control method for low-voltage lithium-ion batteries in this application. Figure 2 This is a flowchart illustrating the second embodiment of the charging coordination control method for low-voltage lithium-ion batteries in this application. Figure 3 This is a functional module diagram of an embodiment of the charging coordination control device for low-voltage lithium-ion batteries according to this application; Figure 4This is a schematic diagram of the hardware structure of the charging coordination control device for low-voltage lithium-ion batteries involved in the embodiments of this application. Detailed Implementation

[0016] To enable those skilled in the art to better understand the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present application, and not all embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of the present application.

[0017] First, some of the technical terms used in this application will be explained to help those skilled in the art understand this application.

[0018] To make the objectives, technical solutions, and advantages of this application clearer, the embodiments of this application will be described in further detail below with reference to the accompanying drawings.

[0019] In a first aspect, embodiments of this application provide a charging coordination control method for a low-voltage lithium-ion battery.

[0020] In one embodiment, reference is made to Figure 1 , Figure 1 This is a flowchart illustrating the first embodiment of the charging coordination control method for low-voltage lithium-ion batteries according to this application. Figure 1 As shown, the charging coordination control method for low-voltage lithium-ion batteries includes: Step S10: Based on the obtained SOC of the low-voltage lithium-ion battery, determine the charging mode that the low-voltage lithium-ion battery needs to switch to, wherein the charging mode includes trickle charging mode. As an example, the SOC of the low-voltage lithium-ion battery is obtained; if the SOC of the low-voltage lithium-ion battery is greater than or equal to a preset threshold, the charging mode that the low-voltage lithium-ion battery needs to switch to is determined.

[0021] The method for obtaining the State of Charge (SOC) of a low-voltage lithium-ion battery includes acquiring the battery's voltage, current, temperature, and cycle count. Based on a pre-built neural network model, the SOC output by the model is obtained according to these parameters. A training dataset is acquired, comprising multiple sets of training data, each including the training voltage, current, temperature, and cycle count. The pre-built neural network is then trained using this dataset to generate a pre-built neural network model. For example, the pre-built neural network is trained using the training dataset to determine if it is in a convergent state. If it is, a pre-built neural network model is generated; if not, training continues until convergence is achieved, generating the final pre-built neural network model.

[0022] Determining whether a pre-trained neural network is in a convergent state includes: obtaining the number of training iterations; determining whether the pre-trained neural network is in a convergent state based on the number of training iterations; if the number of training iterations is greater than or equal to the preset number of training iterations, the pre-trained neural network is in a convergent state; if the number of training iterations is less than the preset number of training iterations, the pre-trained neural network is not in a convergent state. Alternatively, obtaining the loss function of the pre-trained neural network; determining whether the pre-trained neural network is in a convergent state based on the obtained loss function; if the loss function is greater than or equal to the preset loss function, the pre-trained neural network is not in a convergent state; if the loss function is less than the preset loss function, the pre-trained neural network is in a convergent state.

[0023] Step S20: Send a first target signal to the VCU via the BMS, so that the VCU cuts off the generator's excitation circuit based on the target signal; As an example, a first target signal is sent to the VCU via the BMS. This first target signal is accompanied by a CRC check rule. The VCU receives the first target signal sent by the BMS, performs CRC check, and obtains the cut-off command in the first target signal to cut off the generator's excitation circuit.

[0024] Step S30: When the VCU detects that the generator's excitation circuit has been cut off, the charging mode of the low-voltage lithium-ion battery is controlled to trickle charging mode.

[0025] As an example, when the VCU is detected to have disconnected the generator's excitation circuit, the charging mode of the low-voltage lithium-ion battery is controlled to trickle charging mode. For instance, when the VCU is detected to have disconnected the generator's excitation circuit, a switching command is sent to the current limiting module; based on the switching command, the current limiting module performs a switching operation, controlling the charging mode of the low-voltage lithium-ion battery to trickle charging mode.

[0026] In this embodiment, the charging mode to be switched to for the low-voltage lithium-ion battery is determined based on the obtained SOC (State of Charge) of the low-voltage lithium-ion battery, wherein the charging mode includes trickle charging mode. A first target signal is sent to the VCU (Vehicle Control Unit) via the BMS (Battery Management System) to cause the VCU to disconnect the generator's excitation circuit based on the target signal. When the VCU disconnects the generator's excitation circuit, the charging mode of the low-voltage lithium-ion battery is controlled to trickle charging mode. This solves the technical problem in the prior art where switching the current limiting module causes the generator to suddenly lose load, leading to voltage rise and power instability. It achieves a method to avoid voltage surges and power instability caused by generator load dumping through coordinated control of the BMS and VCU. This method can effectively improve the stability of the vehicle's power system, extend battery life, and reduce system failures that may be caused by voltage surges.

[0027] In one embodiment, reference is made to Figure 2 , Figure 2 This is a flowchart illustrating the second embodiment of the charging coordination control method for low-voltage lithium-ion batteries according to this application. Figure 2 As shown, the charging coordination control method for low-voltage lithium-ion batteries includes: Step S21: Based on the obtained SOC of the low-voltage lithium-ion battery, determine the charging mode that the low-voltage lithium-ion battery needs to switch to, wherein the charging mode includes trickle charging mode. As an example, the SOC of the low-voltage lithium-ion battery is obtained; if the SOC of the low-voltage lithium-ion battery is greater than or equal to a preset threshold, the charging mode that the low-voltage lithium-ion battery needs to switch to is determined.

[0028] The method for obtaining the State of Charge (SOC) of a low-voltage lithium-ion battery includes acquiring the battery's voltage, current, temperature, and cycle count. Based on a pre-built neural network model, the SOC output by the model is obtained according to these parameters. A training dataset is acquired, comprising multiple sets of training data, each including the training voltage, current, temperature, and cycle count. The pre-built neural network is then trained using this dataset to generate a pre-built neural network model. For example, the pre-built neural network is trained using the training dataset to determine if it is in a convergent state. If it is, a pre-built neural network model is generated; if not, training continues until convergence is achieved, generating the final pre-built neural network model.

[0029] Determining whether a pre-trained neural network is in a convergent state includes: obtaining the number of training iterations; determining whether the pre-trained neural network is in a convergent state based on the number of training iterations; if the number of training iterations is greater than or equal to the preset number of training iterations, the pre-trained neural network is in a convergent state; if the number of training iterations is less than the preset number of training iterations, the pre-trained neural network is not in a convergent state. Alternatively, obtaining the loss function of the pre-trained neural network; determining whether the pre-trained neural network is in a convergent state based on the obtained loss function; if the loss function is greater than or equal to the preset loss function, the pre-trained neural network is not in a convergent state; if the loss function is less than the preset loss function, the pre-trained neural network is in a convergent state.

[0030] Step S22: Send a first target signal to the VCU via the BMS, so that the VCU cuts off the generator's excitation circuit based on the target signal; As an example, a first target signal is sent to the VCU via the BMS. This first target signal is accompanied by a CRC check rule. The VCU receives the first target signal sent by the BMS, performs CRC check, and obtains the cut-off command in the first target signal to cut off the generator's excitation circuit.

[0031] Step S23: When the VCU detects that the generator's excitation circuit has been cut off, the charging mode of the low-voltage lithium-ion battery is controlled to trickle charging mode.

[0032] As an example, when the VCU is detected to have disconnected the generator's excitation circuit, the charging mode of the low-voltage lithium-ion battery is controlled to trickle charging mode. For instance, when the VCU is detected to have disconnected the generator's excitation circuit, a switching command is sent to the current limiting module; based on the switching command, the current limiting module performs a switching operation, controlling the charging mode of the low-voltage lithium-ion battery to trickle charging mode.

[0033] Step S24: Send a second target signal to the VCU through the BMS, so that the VCU can turn on the excitation circuit of the generator based on the second target signal.

[0034] As an example, the BMS sends a second target signal to the VCU, which includes a CRC checksum. The VCU receives the second target signal from the BMS, performs a CRC check, and retrieves the activation command from the first target signal to activate the generator's excitation circuit. With the generator excitation circuit activated, the generator begins to output power normally, ensuring the stability of the vehicle's power system.

[0035] Specifically, after controlling the charging mode of the low-voltage lithium-ion battery to trickle charging mode, the method further includes: if the BMS detects that it has not sent a second target signal to the VCU within a preset time period, the VCU automatically connects the excitation circuit of the generator.

[0036] As an example, if the BMS fails to send the second target signal to the VCU within a preset time period, the VCU automatically activates the generator's excitation circuit. For instance, if the BMS fails to send the second target signal to the VCU within 300ms, the VCU automatically activates the generator's excitation circuit; or, if the BMS fails to send the second target signal to the VCU within 500ms, the VCU automatically activates the generator's excitation circuit. A timeout reset mechanism is also implemented: if the BMS fails to send a completion signal within a set time, the VCU automatically resumes excitation, preventing system failure.

[0037] In this embodiment, the charging mode to be switched for the low-voltage lithium-ion battery is determined based on the obtained SOC (State of Charge) of the low-voltage lithium-ion battery, wherein the charging mode includes trickle charging mode. A first target signal is sent to the VCU (Vehicle Control Unit) via the BMS (Battery Management System) to cause the VCU to disconnect the generator's excitation circuit based on the target signal. When the VCU disconnects the generator's excitation circuit, the charging mode of the low-voltage lithium-ion battery is controlled to be trickle charging mode. A second target signal is sent to the VCU via the BMS to cause the VCU to connect the generator's excitation circuit based on the second target signal. This solves the instability problem of the vehicle power system in related technologies, ensuring the stability of the vehicle power system. It also achieves a method to avoid voltage surges and power instability caused by generator load dumping through coordinated control of the BMS and VCU. This method can effectively improve the stability of the vehicle power system, extend battery life, and reduce system failures that may be caused by voltage surges.

[0038] Secondly, embodiments of this application also provide a charging coordination control device for a low-voltage lithium-ion battery.

[0039] In one embodiment, reference is made to Figure 3 , Figure 3 This is a functional module diagram of an embodiment of the charging coordination control device for low-voltage lithium-ion batteries according to this application. Figure 3 As shown, the charging coordination control device for low-voltage lithium-ion batteries includes: The determining module 10 is used to determine the charging mode that the low-voltage lithium-ion battery needs to switch to based on the obtained SOC of the low-voltage lithium-ion battery, wherein the charging mode includes trickle charging mode. The disconnection module 20 is used to send a first target signal to the VCU via the BMS, so that the VCU disconnects the excitation circuit of the generator based on the target signal; The control module 30 is used to control the charging mode of the low-voltage lithium-ion battery to trickle charging mode when it detects that the VCU has cut off the excitation circuit of the generator.

[0040] Furthermore, in one embodiment, the charging coordination control device for the low-voltage lithium-ion battery further includes a new module for: The BMS sends a second target signal to the VCU, so that the VCU can turn on the excitation circuit of the generator based on the second target signal.

[0041] Furthermore, in one embodiment, the charging coordination control device for the low-voltage lithium-ion battery further includes a new module for: If the BMS detects that it has not sent a second target signal to the VCU within a preset time period, the VCU will automatically turn on the excitation circuit of the generator.

[0042] Furthermore, in one embodiment, the control module 30 is used for: When the VCU detects that the generator's excitation circuit has been cut off, a switching command is sent to the current limiting module; Based on the switching command, the current limiting module is switched to control the charging mode of the low-voltage lithium-ion battery to trickle charging mode.

[0043] Furthermore, in one embodiment, the determining module 10 is used for: Obtain the state of charge (SOC) of the low-voltage lithium-ion battery; If the SOC of the low-voltage lithium-ion battery is greater than or equal to a preset threshold, the charging mode that the low-voltage lithium-ion battery needs to switch to is determined.

[0044] Furthermore, in one embodiment, the charging coordination control device for the low-voltage lithium-ion battery further includes a new module for: The voltage, current, temperature, and cycle number of the low-voltage lithium-ion battery are obtained. Based on a pre-set neural network model, the SOC of the low-pressure lithium-ion battery is obtained by the output of the pre-set neural network model according to the voltage, current, temperature and cycle number of the low-pressure lithium-ion battery.

[0045] Furthermore, in one embodiment, the charging coordination control device for the low-voltage lithium-ion battery further includes a new module for: Obtain the training dataset, wherein the training dataset includes multiple sets of training data, and each set of training data includes the training voltage, the training current, the training temperature, and the number of training cycles; The preset neural network is trained based on the dataset to be trained, and a preset neural network model is generated.

[0046] The functions of each module in the charging coordination control device for the low-voltage lithium-ion battery correspond to the steps in the embodiment of the charging coordination control method for the low-voltage lithium-ion battery. Their functions and implementation processes will not be described in detail here.

[0047] Thirdly, embodiments of this application provide a charging coordination control device for a low-voltage lithium-ion battery. The charging coordination control device for a low-voltage lithium-ion battery can be a device with data processing capabilities, such as a personal computer (PC), a laptop computer, or a server.

[0048] Reference Figure 4 , Figure 4 This is a schematic diagram of the hardware structure of the charging coordination control device for low-voltage lithium-ion batteries involved in the embodiments of this application. In the embodiments of this application, the charging coordination control device for low-voltage lithium-ion batteries may include a processor, a memory, a communication interface, and a communication bus.

[0049] The communication bus can be of any type and is used to interconnect the processor, memory, and communication interface.

[0050] The communication interface includes input / output (I / O) interfaces, physical interfaces, and logical interfaces used for interconnecting devices within the low-voltage lithium-ion battery charging coordination control device, as well as interfaces used for interconnecting the low-voltage lithium-ion battery charging coordination control device with other devices (such as other computing devices or user equipment). Physical interfaces can be Ethernet interfaces, fiber optic interfaces, ATM interfaces, etc.; user equipment can be displays, keyboards, etc.

[0051] Memory can be various types of storage media, such as random access memory (RAM), read-only memory (ROM), non-volatile RAM (NVRAM), flash memory, optical storage, hard disk, programmable ROM (PROM), erasable PROM (EPROM), electrically erasable PROM (EEPROM), etc.

[0052] The processor can be a general-purpose processor, which can call the charging coordination control program for the low-voltage lithium-ion battery stored in the memory and execute the charging coordination control method for the low-voltage lithium-ion battery provided in the embodiments of this application. For example, the general-purpose processor can be a central processing unit (CPU). The method executed when the charging coordination control program for the low-voltage lithium-ion battery is called can be referred to the various embodiments of the charging coordination control method for the low-voltage lithium-ion battery in this application, and will not be repeated here.

[0053] Those skilled in the art will understand that Figure 4 The hardware structure shown does not constitute a limitation of this application and may include more or fewer components than shown, or combine certain components, or have different component arrangements.

[0054] Fourthly, embodiments of this application also provide a computer-readable storage medium.

[0055] The present application stores a charging coordination control program for a low-voltage lithium-ion battery on a computer-readable storage medium, wherein when the charging coordination control program for the low-voltage lithium-ion battery is executed by a processor, it implements the steps of the charging coordination control method for the low-voltage lithium-ion battery as described above.

[0056] The method implemented when the charging coordination control program for low-voltage lithium-ion batteries is executed can be referred to in various embodiments of the charging coordination control method for low-voltage lithium-ion batteries in this application, and will not be repeated here.

[0057] It should be noted that the sequence numbers of the embodiments in this application are for descriptive purposes only and do not represent the superiority or inferiority of the embodiments.

[0058] The terms "comprising" and "having," and any variations thereof, in the specification, claims, and accompanying drawings of this application are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or apparatus that includes a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units not listed, or may optionally include other steps or units inherent to such process, method, product, or apparatus. The terms "first," "second," and "third," etc., are used to distinguish different objects, etc., and do not indicate a sequence, nor do they limit "first," "second," and "third" to different types.

[0059] In the description of the embodiments of this application, terms such as "exemplary," "for example," or "for instance" are used to indicate examples, illustrations, or explanations. Any embodiment or design described as "exemplary," "for example," or "for instance" in the embodiments of this application should not be construed as being more preferred or advantageous than other embodiments or designs. Specifically, the use of terms such as "exemplary," "for example," or "for instance" is intended to present the relevant concepts in a concrete manner.

[0060] In the description of the embodiments of this application, unless otherwise stated, " / " means "or". For example, A / B can mean A or B. The "and / or" in the text is merely a description of the relationship between related objects, indicating that there can be three relationships. For example, A and / or B can mean: A exists alone, A and B exist simultaneously, and B exists alone. In addition, in the description of the embodiments of this application, "multiple" means two or more.

[0061] In some processes described in the embodiments of this application, multiple operations or steps are included in a specific order. However, it should be understood that these operations or steps may not be executed in the order they appear in the embodiments of this application, or they may be executed in parallel. The sequence number of the operation is only used to distinguish different operations, and the sequence number itself does not represent any execution order. In addition, these processes may include more or fewer operations, and these operations or steps may be executed sequentially or in parallel, and these operations or steps may be combined.

[0062] Through the above description of the embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus necessary general-purpose hardware platforms. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) as described above, and includes several instructions to cause a terminal device to execute the methods described in the various embodiments of this application.

[0063] The above are merely preferred embodiments of this application and do not limit the patent scope of this application. Any equivalent structural or procedural transformations made using the content of this application's specification and drawings, or direct or indirect applications in other related technical fields, are similarly included within the patent protection scope of this application.

Claims

1. A method for coordinated charging control of a low-voltage lithium-ion battery, characterized in that, The charging coordination control method for the low-voltage lithium-ion battery includes: Based on the obtained SOC of the low-voltage lithium-ion battery, determine the charging mode that the low-voltage lithium-ion battery needs to switch to, wherein the charging mode includes trickle charging mode. The BMS sends a first target signal to the VCU, so that the VCU cuts off the generator's excitation circuit based on the target signal; When the VCU detects that the generator's excitation circuit has been cut off, the charging mode of the low-voltage lithium-ion battery is controlled to trickle charging mode.

2. The charging coordination control method for low-voltage lithium-ion batteries as described in claim 1, characterized in that, After controlling the charging mode of the low-voltage lithium-ion battery to trickle charging mode, the method further includes: The BMS sends a second target signal to the VCU, so that the VCU can turn on the excitation circuit of the generator based on the second target signal.

3. The charging coordination control method for low-voltage lithium-ion batteries as described in claim 1, characterized in that, After controlling the charging mode of the low-voltage lithium-ion battery to trickle charging mode, the method further includes: If the BMS detects that it has not sent a second target signal to the VCU within a preset time period, the VCU will automatically turn on the excitation circuit of the generator.

4. The charging coordination control method for low-voltage lithium-ion batteries as described in claim 1, characterized in that, When the VCU is detected to have cut off the generator's excitation circuit, the charging mode of the low-voltage lithium-ion battery is controlled to be trickle charging mode, including: When the VCU detects that the generator's excitation circuit has been cut off, a switching command is sent to the current limiting module; Based on the switching command, the current limiting module is switched to control the charging mode of the low-voltage lithium-ion battery to trickle charging mode.

5. The charging coordination control method for low-voltage lithium-ion batteries as described in claim 1, characterized in that, The step of determining the charging mode to be switched for the low-voltage lithium-ion battery based on the obtained SOC includes: Obtain the state of charge (SOC) of the low-voltage lithium-ion battery; If the SOC of the low-voltage lithium-ion battery is greater than or equal to a preset threshold, the charging mode that the low-voltage lithium-ion battery needs to switch to is determined.

6. The charging coordination control method for low-voltage lithium-ion batteries as described in claim 1, characterized in that, The process of obtaining the SOC of the low-voltage lithium-ion battery includes: The voltage, current, temperature, and cycle number of the low-voltage lithium-ion battery are obtained. Based on a pre-set neural network model, the SOC of the low-pressure lithium-ion battery is obtained by the output of the pre-set neural network model according to the voltage, current, temperature and cycle number of the low-pressure lithium-ion battery.

7. The charging coordination control method for low-voltage lithium-ion batteries as described in claim 1, characterized in that, Before obtaining the SOC of the low-voltage lithium-ion battery based on the voltage, current, temperature, and cycle number of the low-voltage lithium-ion battery according to the pre-set neural network model, the method further includes: Obtain the training dataset, wherein the training dataset includes multiple sets of training data, and each set of training data includes the training voltage, the training current, the training temperature, and the number of training cycles; The preset neural network is trained based on the dataset to be trained, and a preset neural network model is generated.

8. A charging coordination control device for a low-voltage lithium-ion battery, characterized in that, The charging coordination control device for the low-voltage lithium-ion battery includes: The determination module is used to determine the charging mode that the low-voltage lithium-ion battery needs to switch to based on the obtained SOC of the low-voltage lithium-ion battery, wherein the charging mode includes trickle charging mode. The disconnection module is used to send a first target signal to the VCU via the BMS, so that the VCU disconnects the excitation circuit of the generator based on the target signal; The control module is used to control the charging mode of the low-voltage lithium-ion battery to trickle charging mode when it detects that the VCU has cut off the excitation circuit of the generator.

9. A charging coordination control device for a low-voltage lithium-ion battery, characterized in that, The charging coordination control device for the low-voltage lithium-ion battery includes a processor, a memory, and a charging coordination control program for the low-voltage lithium-ion battery stored in the memory and executable by the processor. When the charging coordination control program for the low-voltage lithium-ion battery is executed by the processor, it implements the steps of the charging coordination control method for the low-voltage lithium-ion battery as described in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a charging coordination control program for a low-voltage lithium-ion battery, wherein when the charging coordination control program for the low-voltage lithium-ion battery is executed by a processor, it implements the steps of the charging coordination control method for a low-voltage lithium-ion battery as described in any one of claims 1 to 7.

Images