Lithium precipitation state determination method, device and equipment of lithium battery and storage medium

Abstract

The application relates to a lithium precipitation state determination method, device and equipment of a lithium battery and a storage medium. The method belongs to the technical field of lithium batteries, and comprises the following steps: acquiring parameter information of a lithium battery to be monitored. At least two different lithium precipitation state prediction models are used to respectively predict an index value of the lithium battery to be monitored under a lithium precipitation index according to the parameter information. The lithium precipitation state of the lithium battery to be monitored is determined according to the index value of the lithium precipitation index predicted by each lithium precipitation state prediction model. The application can predict the index value of the lithium battery to be monitored under the lithium precipitation index based on the parameter information of the lithium battery to be monitored and more than two lithium precipitation state prediction models. Without opening the lithium battery, the lithium precipitation state of the lithium battery to be monitored can be accurately determined according to the index value of the lithium precipitation index, the lithium precipitation state acquisition efficiency of the lithium battery is improved, and the lithium precipitation state of the lithium battery to be monitored can be monitored in real time.

Description

Technical Field

[0001] This application relates to the field of lithium battery technology, and in particular to a method, apparatus, device and storage medium for determining the lithium plating state of a lithium battery. Background Technology

[0002] Lithium plating refers to the phenomenon where lithium ions, which should enter the interior of the negative electrode material of a lithium battery, are forced to deposit on the surface of the negative electrode due to obstructed transport paths caused by some reason. Lithium plating is also a type of loss condition in lithium batteries.

[0003] Lithium plating in lithium batteries not only affects battery performance and lifespan but also limits their fast-charging capacity. In severe cases, it can even lead to catastrophic consequences such as battery combustion and explosion. Since lithium plating occurs inside the battery, there is currently no effective method for monitoring its state. Summary of the Invention

[0004] Therefore, it is necessary to provide a method, apparatus, device, and storage medium for determining the lithium plating state of a lithium battery, which can effectively monitor lithium plating in lithium batteries, in order to address the above-mentioned technical problems.

[0005] Firstly, this application provides a method for determining the lithium plating state of a lithium battery. The method includes:

[0006] Obtain parameter information of the lithium battery to be monitored; the parameter information includes external parameter information and internal parameter information.

[0007] At least two different lithium plating state prediction models are used to predict the index values ​​of the lithium battery under the lithium plating index based on the parameter information.

[0008] The lithium plating state of the lithium battery to be monitored is determined based on the index values ​​of the lithium plating indicators predicted by each lithium plating state prediction model.

[0009] In one embodiment, the number of lithium plating indicators is at least two. The lithium plating state of the lithium battery to be monitored is determined based on the indicator values ​​predicted by each lithium plating state prediction model, including:

[0010] For each lithium deposition index, the total index value of the lithium deposition index is determined based on the index value predicted by each lithium deposition state prediction model and the weighting coefficient of each lithium deposition state prediction model for the lithium deposition index.

[0011] The lithium plating status of the lithium battery to be monitored is determined based on the total value of each lithium plating index.

[0012] In one embodiment, the total value of the lithium plating index is determined based on the index values ​​of the lithium plating index predicted by each lithium plating state prediction model and the weighting coefficients of each lithium plating state prediction model for the lithium plating index, including:

[0013] For each lithium plating state prediction model, the weight coefficient of the lithium plating index is used to weight the index value of the lithium plating index predicted by the lithium plating state prediction model, so as to obtain the index score of the lithium plating index predicted by the lithium plating state prediction model.

[0014] The total value of the lithium deposition index is determined based on the index scores predicted by each lithium deposition state prediction model.

[0015] In one embodiment, the lithium plating state of the lithium battery to be monitored is monitored based on the total value of each lithium plating index, including:

[0016] Based on the relationship between the total value of each lithium plating index and the corresponding index threshold, the state score of each lithium plating index is determined.

[0017] The total state value of the lithium battery to be monitored is determined based on the state scores of each lithium plating index.

[0018] The lithium plating state of the lithium battery to be monitored is determined based on the total state value of the lithium battery to be monitored.

[0019] In one embodiment, obtaining parameter information of the lithium battery to be monitored includes:

[0020] The internal parameters of the lithium battery to be monitored are acquired through internal sensors; the internal parameters include at least one of the following: voltage, impedance, temperature and air pressure.

[0021] External parameters of the lithium battery to be monitored are acquired through external sensors; the external parameters include at least one of voltage, impedance and temperature information of the lithium battery to be monitored.

[0022] In one embodiment, after determining the lithium plating state of the lithium battery to be monitored based on the index values ​​of the lithium plating indicators predicted by each lithium plating state prediction model, the method further includes:

[0023] Based on the lithium plating control model, the control strategy for the lithium battery to be monitored is determined according to the lithium plating state of the lithium battery to be monitored; wherein, the control strategy includes at least one of the following: charging control strategy, discharging control strategy, battery repair strategy and thermal protection strategy.

[0024] A control strategy is adopted to regulate the lithium battery under monitoring.

[0025] In one embodiment, the lithium deposition indicators include at least one of lithium dendrite content, size, morphology, growth rate, and location.

[0026] Secondly, this application also provides a device for determining the lithium plating state of a lithium battery. The device includes:

[0027] The acquisition module is used to acquire parameter information of the lithium battery to be monitored; the parameter information includes external parameter information and internal parameter information.

[0028] The prediction module is used to predict the index value of the lithium battery under the lithium plating index by using at least two different lithium plating state prediction models, based on parameter information.

[0029] The first determination module is used to determine the lithium plating state of the lithium battery to be monitored based on the index values ​​of the lithium plating indicators predicted by each lithium plating state prediction model.

[0030] Thirdly, this application also provides a computer device. The computer device includes a memory and a processor, the memory storing a computer program, and the processor executing the computer program to perform the following steps:

[0031] Obtain parameter information of the lithium battery to be monitored; the parameter information includes external parameter information and internal parameter information.

[0032] At least two different lithium plating state prediction models are used to predict the index values ​​of the lithium battery under the lithium plating index based on the parameter information.

[0033] The lithium plating state of the lithium battery to be monitored is determined based on the index values ​​of the lithium plating indicators predicted by each lithium plating state prediction model.

[0034] Fourthly, this application also provides a computer-readable storage medium. The computer-readable storage medium stores a computer program thereon, which, when executed by a processor, performs the following steps:

[0035] Obtain parameter information of the lithium battery to be monitored; the parameter information includes external parameter information and internal parameter information.

[0036] At least two different lithium plating state prediction models are used to predict the index values ​​of the lithium battery under the lithium plating index based on the parameter information.

[0037] The lithium plating state of the lithium battery to be monitored is determined based on the index values ​​of the lithium plating indicators predicted by each lithium plating state prediction model.

[0038] Fifthly, this application also provides a computer program product. The computer program product includes a computer program that, when executed by a processor, performs the following steps:

[0039] Obtain parameter information of the lithium battery to be monitored; the parameter information includes external parameter information and internal parameter information.

[0040] At least two different lithium plating state prediction models are used to predict the index values ​​of the lithium battery under the lithium plating index based on the parameter information.

[0041] The lithium plating state of the lithium battery to be monitored is determined based on the index values ​​of the lithium plating indicators predicted by each lithium plating state prediction model.

[0042] The aforementioned method, apparatus, equipment, and storage medium for determining the lithium plating state of lithium batteries acquire parameter information of the lithium battery to be monitored. This parameter information includes both external and internal parameters. At least two different lithium plating state prediction models are used to predict the index values ​​of the lithium battery under lithium plating indicators based on the parameter information. The lithium plating state of the lithium battery is determined based on the index values ​​predicted by each lithium plating state prediction model. This application can predict the index values ​​of the lithium battery under lithium plating indicators based on the parameter information of the lithium battery to be monitored and two or more lithium plating state prediction models. Without opening the lithium battery, the lithium plating state of the lithium battery to be monitored can be accurately determined based on the index values, which not only improves the efficiency of acquiring the lithium plating state but also enables real-time monitoring of the lithium plating state, providing technical support for early warning of lithium plating risks. Attached Figure Description

[0043] Figure 1 This is a diagram illustrating the application environment of the lithium battery lithium plating state determination method provided in this embodiment.

[0044] Figure 2 This is a flowchart illustrating the first method for determining the lithium plating state of a lithium battery provided in this embodiment.

[0045] Figure 3 This is a schematic diagram of the process for determining the lithium plating state of the lithium battery to be monitored, provided in this embodiment.

[0046] Figure 4 This is a schematic diagram of the process for regulating the lithium battery to be monitored, provided in this embodiment.

[0047] Figure 5 This is a flowchart illustrating the second method for determining the lithium plating state of a lithium battery provided in this embodiment.

[0048] Figure 6 This is a structural block diagram of a lithium battery lithium plating state determination device provided in this embodiment;

[0049] Figure 7 This is an internal structural diagram of the computer device provided in this embodiment. Detailed Implementation

[0050] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application.

[0051] In one embodiment, a method for determining the lithium plating state of a lithium battery is provided. This method can be executed by a server or by a powerful terminal device. The terminal device can be mounted on a vehicle, including but not limited to new energy vehicles, electric vehicles, intelligent vehicles, and connected vehicles. Figure 1 As shown, this method can also be executed interactively between terminal device 102 and server 104. When there is a need to determine the lithium plating state of a lithium battery, server 104 interacts with terminal device 102 to obtain parameter information of the lithium battery to be monitored from terminal device 102. Server 104 uses at least two different lithium plating state prediction models to predict the index values ​​of the lithium battery under the lithium plating index based on the parameter information. The lithium plating state of the lithium battery to be monitored is determined based on the index values ​​of the lithium plating index predicted by each lithium plating state prediction model. The parameter information includes external parameter information and internal parameter information.

[0052] The terminal device 102 may be, but is not limited to, a mobile phone, a computer, or an in-vehicle controller used in vehicles. The server 104 may be implemented using a standalone server or a server cluster consisting of multiple servers.

[0053] In one embodiment, such as Figure 2 As shown, a method for determining the lithium plating state of a lithium battery is provided, which can be applied to... Figure 1 Taking the server in the example, the following steps are included:

[0054] S201, Obtain parameter information of the lithium battery to be monitored. The parameter information includes external parameter information and internal parameter information.

[0055] The lithium battery to be monitored refers to a lithium battery whose lithium plating state needs to be monitored. Parameter information refers to relevant parameters of the lithium battery to be monitored. This mainly includes external parameter information and internal parameter information. External parameter information includes at least one of the following external parameters of the lithium battery to be monitored: voltage, impedance, and temperature. Internal parameter information includes at least one of the following internal parameters of the lithium battery to be monitored: voltage, impedance, temperature, and gas pressure.

[0056] One optional implementation of this embodiment is as follows: acquiring parameter information of the lithium battery to be monitored through sensors. Specifically, internal sensors can be used to acquire internal parameter information of the lithium battery to be monitored. External sensors can be used to acquire external parameter information of the lithium battery to be monitored. Internal sensors can be, but are not limited to, one or more combinations of voltage sensors, temperature sensors, pressure sensors, and current sensors. External sensors can be, but are not limited to, one or more combinations of voltage sensors, temperature sensors, and current sensors.

[0057] Another optional implementation of this embodiment is to obtain the parameter information of the lithium battery to be monitored through a storage device. The storage device can be the storage device corresponding to an information acquisition device (e.g., a data collector), which stores the parameter information of the lithium battery to be monitored. Alternatively, it can be a storage device within a database, which stores the parameter information of the lithium battery to be monitored.

[0058] S202 employs at least two different lithium plating state prediction models to predict the index values ​​of the lithium battery under lithium plating index based on parameter information.

[0059] The lithium plating state prediction model is a trained neural network model that maps parameter information of the lithium battery to be monitored to index values ​​under lithium plating indices. Neural network models such as CNN (Convolutional Neural Networks), RNN (Recurrent Neural Networks), and LSTM (Long Short-Term Memory) can be used, but are not limited to. Lithium plating indices refer to indicators used to determine the lithium plating state, including but not limited to at least one of the following: lithium dendrite content, size, morphology, growth rate, and location.

[0060] An optional implementation method of this embodiment is as follows: For each lithium plating state prediction model, obtain the target parameters corresponding to the lithium plating state prediction model from the parameter information, input the target parameters into the lithium plating state prediction model, and predict the index value of the lithium battery to be monitored under a certain lithium plating index. Based on each lithium plating state prediction model and parameter information, predict the index value of the lithium battery to be monitored under each lithium plating index.

[0061] Another optional implementation of this embodiment is as follows: For each lithium plating state prediction model, the parameter information is input into the model to predict candidate values ​​for the lithium plating index of the lithium battery to be monitored. Based on the predicted candidate values ​​of each lithium plating state prediction model, the index value of the lithium battery to be monitored under each lithium plating index is determined. For example, the average value of each candidate value can be used as the index value.

[0062] S203. Determine the lithium plating state of the lithium battery to be monitored based on the index values ​​of the lithium plating indicators predicted by each lithium plating state prediction model.

[0063] Among them, lithium plating status refers to the lithium plating status of the negative electrode material of the lithium battery to be monitored.

[0064] One optional implementation of this embodiment is as follows: For the lithium plating index values ​​predicted by each lithium plating state prediction model, a voting rule is used to select the index value predicted by the target lithium plating state prediction model, thereby determining the lithium plating state of the lithium battery to be monitored. An optional implementation method for selecting the target lithium plating state prediction model using a voting system is as follows: Based on the index values ​​of the lithium plating index predicted by each lithium plating state prediction model within a historical period, the lithium plating state prediction model with the most accurate predicted index value is selected as the target lithium plating state prediction model.

[0065] Another optional implementation of this embodiment is as follows: based on the index values ​​of the lithium plating indicators predicted by each lithium plating state prediction model, the index values ​​are fused to obtain a total index value, and the lithium plating state of the lithium battery to be monitored is determined based on the total index value. The fusion processing method can be one of summation, weighted summation, or product.

[0066] The aforementioned method for determining the lithium plating state of a lithium battery involves acquiring parameter information of the lithium battery to be monitored. At least two different lithium plating state prediction models are used to predict the index values ​​of the monitored lithium battery under lithium plating indicators based on the parameter information. The lithium plating state of the monitored lithium battery is determined based on the index values ​​predicted by each lithium plating state prediction model. This application can predict the index values ​​of the monitored lithium battery under lithium plating indicators based on the parameter information of the monitored lithium battery and two or more lithium plating state prediction models. Without opening the lithium battery, the lithium plating state of the monitored lithium battery can be accurately determined based on the index values, which not only improves the efficiency of obtaining the lithium plating state of the lithium battery but also enables real-time monitoring of the lithium plating state, providing technical support for early warning of lithium plating risks. The parameter information includes external parameter information and internal parameter information.

[0067] In one embodiment, if there are two or more lithium plating indicators, in order to make the predicted lithium plating state of the monitored lithium battery more accurate, such as... Figure 3 As shown, in one optional implementation of S202, the following is included:

[0068] S301, for each lithium plating index, the total index value of the lithium plating index is determined based on the index value predicted by each lithium plating state prediction model and the weight coefficient of each lithium plating state prediction model for the lithium plating index.

[0069] The total index value refers to the index value determined for each lithium plating index based on the index value and its corresponding weighting coefficient. The weighting coefficient is a coefficient used to weight the index values, determined based on the accuracy of each lithium plating state prediction model in predicting the index values.

[0070] Optionally, in this embodiment, for each lithium plating state prediction model, the weighting coefficient of the lithium plating index for that lithium plating index can be used to weight the index value predicted by the lithium plating state prediction model, thereby obtaining the index score of the lithium plating index predicted by the lithium plating state prediction model. Based on the index scores of the lithium plating index predicted by each lithium plating state prediction model, the total index value of the lithium plating index is determined.

[0071] Optionally, the preferred implementation method for determining the index score of the lithium plating index predicted by the lithium plating state prediction model is to multiply the weight coefficient of the lithium plating index in the lithium plating state prediction model with the index value of the lithium plating index predicted by the lithium plating state prediction model to obtain the index score of the lithium plating index predicted by the lithium plating state prediction model.

[0072] Optionally, the method for determining the total value of the lithium plating index based on the index scores predicted by each lithium plating state prediction model is as follows: sum the index scores predicted by each lithium plating state prediction model and use the summation result as the total value of the lithium plating index.

[0073] S302, determine the lithium plating state of the lithium battery to be monitored based on the total value of each lithium plating index.

[0074] Optionally, in this embodiment, the state score of each lithium plating indicator is determined based on the relationship between the total value of each lithium plating indicator and its corresponding threshold. The total state value of the lithium battery to be monitored is then determined based on the state scores of each lithium plating indicator. Finally, the lithium plating state of the lithium battery to be monitored is determined based on the total state value of the lithium battery to be monitored.

[0075] In this embodiment, an optional implementation method for determining the state score of each lithium plating index is as follows: each lithium plating index has multiple index thresholds, adjacent index thresholds are separated by threshold intervals, and each threshold interval has a corresponding state score. Based on the total index value and threshold interval of each lithium plating index, as well as the state score corresponding to each threshold interval, the state score of each lithium plating index can be determined.

[0076] In this embodiment, an optional implementation method for determining the total state value of the lithium battery to be monitored is: summing the state scores of each lithium plating index to obtain the total state value of the lithium battery to be monitored.

[0077] In this embodiment, an optional implementation method for determining the lithium plating state of the lithium battery to be monitored based on the total state value is as follows: the lithium plating state of the lithium battery to be monitored is determined based on the total state value and the state value intervals. There are multiple state value intervals, and each state value interval corresponds to one lithium plating state.

[0078] In this embodiment, for each lithium plating index, the total index value of that index is determined based on the index value predicted by each lithium plating state prediction model and the weighting coefficient of each lithium plating state prediction model for that index. The lithium plating state of the lithium battery to be monitored is then determined based on the total index value. This makes the obtained total index value more accurate, thus improving the accuracy of the lithium plating state of the lithium battery to be monitored.

[0079] In one embodiment, to facilitate the regulation of the lithium battery under monitoring, such as Figure 4 As shown, an optional embodiment of a method for determining the lithium plating state of a lithium battery includes:

[0080] S401, based on a lithium plating control model, determines the control strategy for the lithium battery to be monitored according to its lithium plating state. The control strategy includes at least one of a charging control strategy, a discharging control strategy, a battery repair strategy, and a thermal protection strategy.

[0081] Among them, the lithium plating regulation model refers to the neural network model used to regulate the lithium plating state of lithium batteries. The regulation strategy refers to the execution strategy used to improve the lithium plating state of lithium batteries so that the lithium plating state of lithium batteries develops in a benign direction, including at least one of the following: charging regulation strategy, discharging regulation strategy, battery repair strategy, and thermal protection strategy.

[0082] Optionally, in this embodiment, the lithium plating state of the lithium battery to be monitored is input into the lithium plating control model, and the lithium plating control model outputs the control strategy for the lithium battery to be monitored.

[0083] S402 employs a control strategy to regulate the lithium battery under monitoring.

[0084] In this embodiment, based on the lithium plating control model, a control strategy for the lithium battery to be monitored is determined according to its lithium plating state. The control strategy includes at least one of a charging control strategy, a discharging control strategy, a battery repair strategy, and a thermal protection strategy. By employing this control strategy to regulate the lithium battery under monitoring, the lithium plating state can be optimized in a timely and effective manner, extending the battery's lifespan and increasing its safety during use.

[0085] In one embodiment, such as Figure 5 As shown, an optional implementation of a method for determining the lithium plating state of a lithium battery includes:

[0086] S501 acquires internal parameter information of the lithium battery to be monitored through internal sensors. This internal parameter information includes at least one of the following: voltage, impedance, temperature, and air pressure information within the lithium battery.

[0087] S502 acquires external parameter information of the lithium battery to be monitored through external sensors. The external parameter information includes at least one of the following: voltage, impedance, and temperature information of the lithium battery to be monitored.

[0088] S503 employs at least two different lithium plating state prediction models to predict the index values ​​of the lithium battery under lithium plating index based on parameter information.

[0089] S504, For each lithium plating state prediction model, the weight coefficient of the lithium plating state prediction model for the lithium plating index is used to weight the index value of the lithium plating index predicted by the lithium plating state prediction model, so as to obtain the index score of the lithium plating index predicted by the lithium plating state prediction model.

[0090] S505, determine the total value of the lithium plating index based on the index scores predicted by each lithium plating state prediction model.

[0091] S506. Based on the relationship between the total value of each lithium plating index and the corresponding index threshold, determine the state score of each lithium plating index.

[0092] S507 determines the total state value of the lithium battery to be monitored based on the state scores of each lithium plating index.

[0093] S508 determines the lithium plating state of the lithium battery to be monitored based on the total state value of the lithium battery to be monitored.

[0094] S509, based on a lithium plating control model, determines the control strategy for the lithium battery to be monitored according to its lithium plating state. The control strategy includes at least one of the following: charging control strategy, discharging control strategy, battery repair strategy, and thermal protection strategy.

[0095] The S5010 employs a control strategy to regulate the lithium battery under monitoring.

[0096] In this embodiment, parameter information of the lithium battery to be monitored is obtained. This parameter information includes both external and internal parameters. At least two different lithium plating state prediction models are used to predict the lithium plating index values ​​of the lithium battery under monitoring, based on the parameter information. The lithium plating state of the lithium battery is determined based on the predicted index values ​​of each lithium plating state prediction model. This application can predict the lithium plating index values ​​of the lithium battery under monitoring based on its parameter information and two or more lithium plating state prediction models. Without opening the lithium battery, the lithium plating state can be accurately determined based on the index values, which not only improves the efficiency of obtaining the lithium plating state but also enables real-time monitoring of the lithium plating state, providing technical support for early warning of lithium plating risks.

[0097] It should be understood that although the steps in the flowcharts of the embodiments described above are shown sequentially according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the flowcharts of the embodiments described above may include multiple steps or multiple stages. These steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these steps or stages is not necessarily sequential, but can be performed alternately or in turn with other steps or at least some of the steps or stages of other steps.

[0098] Based on the same inventive concept, this application also provides a lithium battery lithium plating state determination apparatus for implementing the lithium battery lithium plating state determination method described above. The solution provided by this apparatus is similar to the solution described in the above method; therefore, the specific limitations of one or more lithium battery lithium plating state determination apparatus embodiments provided below can be found in the limitations of the lithium battery lithium plating state determination method described above, and will not be repeated here.

[0099] In one embodiment, such as Figure 6 As shown, a lithium battery lithium plating state determination device 1 is provided, comprising: an acquisition module 10, a prediction module 20, and a first determination module 30, wherein:

[0100] The acquisition module 10 is used to acquire parameter information of the lithium battery to be monitored; the parameter information includes external parameter information and internal parameter information.

[0101] The prediction module 20 is used to use at least two different lithium plating state prediction models to predict the index values ​​of the lithium battery under the lithium plating index based on parameter information; wherein the lithium plating index includes at least one of lithium dendrite content, size, morphology, growth rate and location.

[0102] The first determining module 30 is used to determine the lithium plating state of the lithium battery to be monitored based on the index values ​​of the lithium plating indicators predicted by each lithium plating state prediction model.

[0103] In one embodiment, the number of lithium plating indicators is at least two, based on which the above... Figure 6 The first determining module 30 in the middle is also specifically used for:

[0104] For each lithium deposition index, the total index value of the lithium deposition index is determined based on the index value predicted by each lithium deposition state prediction model and the weighting coefficient of each lithium deposition state prediction model for the lithium deposition index.

[0105] The lithium plating status of the lithium battery to be monitored is determined based on the total value of each lithium plating index.

[0106] In one embodiment, the upper Figure 6 The first determining module 30 in the middle is also specifically used for:

[0107] For each lithium plating state prediction model, the weight coefficient of the lithium plating index is used to weight the index value of the lithium plating index predicted by the lithium plating state prediction model, so as to obtain the index score of the lithium plating index predicted by the lithium plating state prediction model.

[0108] The total value of the lithium deposition index is determined based on the index scores predicted by each lithium deposition state prediction model.

[0109] In one embodiment, the upper Figure 6 The first determining module 30 in the middle is also specifically used for:

[0110] Based on the relationship between the total value of each lithium plating index and the corresponding index threshold, the state score of each lithium plating index is determined.

[0111] The total state value of the lithium battery to be monitored is determined based on the state scores of each lithium plating index.

[0112] The lithium plating state of the lithium battery to be monitored is determined based on the total state value of the lithium battery to be monitored.

[0113] In one embodiment, the upper Figure 6 The acquisition module 10 is also specifically used for:

[0114] The internal parameters of the lithium battery to be monitored are acquired through internal sensors; the internal parameters include at least one of the following: voltage, impedance, temperature and air pressure.

[0115] External parameters of the lithium battery to be monitored are acquired through external sensors; the external parameters include at least one of voltage, impedance and temperature information of the lithium battery to be monitored.

[0116] In one embodiment, the upper Figure 6 The lithium-ion battery lithium plating state determination device 1 further includes:

[0117] The second determining module is used to determine the regulation strategy of the lithium battery to be monitored based on the lithium plating regulation model and the lithium plating state of the lithium battery to be monitored; wherein the regulation strategy includes at least one of the following: charging regulation strategy, discharging regulation strategy, battery repair strategy and thermal protection strategy.

[0118] The control module is used to regulate the lithium battery under monitoring by employing control strategies.

[0119] Each module in the aforementioned lithium battery lithium plating state determination device can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in or independent of the processor in a computer device, or stored in the memory of a computer device as software, so that the processor can call and execute the corresponding operations of each module.

[0120] In one embodiment, a computer device is provided, which may be a server, and its internal structure diagram may be as follows: Figure 7 As shown, the computer device includes a processor, memory, input / output (I / O) interfaces, and a communication interface. The processor, memory, and I / O interfaces are connected via a system bus, and the communication interface is also connected to the system bus via the I / O interfaces. The processor provides computational and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system, computer programs, and a database. The internal memory provides the environment for the operation of the operating system and computer programs stored in the non-volatile storage media. The database stores relevant data for the target transaction. The I / O interfaces are used for exchanging information between the processor and external devices. The communication interface is used for communication with external terminals via a network connection. When executed by the processor, the computer program implements a method for determining the lithium plating state of a lithium battery.

[0121] Those skilled in the art will understand that Figure 7The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the computer device to which the present application is applied. Specific computer devices may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0122] In one embodiment, a computer device is provided, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to perform the following steps:

[0123] Obtain parameter information of the lithium battery to be monitored; the parameter information includes external parameter information and internal parameter information.

[0124] At least two different lithium plating state prediction models are used to predict the index values ​​of the lithium battery under the lithium plating index based on the parameter information.

[0125] The lithium plating state of the lithium battery to be monitored is determined based on the index values ​​of the lithium plating indicators predicted by each lithium plating state prediction model.

[0126] In one embodiment, when the processor executes the computer program, it further performs the following steps: The number of lithium plating indicators is at least two; based on the indicator values ​​predicted by each lithium plating state prediction model, the lithium plating state of the lithium battery to be monitored is determined, including:

[0127] For each lithium deposition index, the total index value of the lithium deposition index is determined based on the index value predicted by each lithium deposition state prediction model and the weighting coefficient of each lithium deposition state prediction model for the lithium deposition index.

[0128] The lithium plating status of the lithium battery to be monitored is determined based on the total value of each lithium plating index.

[0129] In one embodiment, when the processor executes the computer program, it further performs the following steps: determining the total value of the lithium plating index based on the index values ​​of the lithium plating index predicted by each lithium plating state prediction model and the weighting coefficients of each lithium plating state prediction model for the lithium plating index, including:

[0130] For each lithium plating state prediction model, the weight coefficient of the lithium plating index is used to weight the index value of the lithium plating index predicted by the lithium plating state prediction model, so as to obtain the index score of the lithium plating index predicted by the lithium plating state prediction model.

[0131] The total value of the lithium deposition index is determined based on the index scores predicted by each lithium deposition state prediction model.

[0132] In one embodiment, when the processor executes the computer program, it further performs the following steps: monitoring the lithium plating state of the lithium battery to be monitored based on the total value of each lithium plating index, including:

[0133] Based on the relationship between the total value of each lithium plating index and the corresponding index threshold, the state score of each lithium plating index is determined.

[0134] The total state value of the lithium battery to be monitored is determined based on the state scores of each lithium plating index.

[0135] The lithium plating state of the lithium battery to be monitored is determined based on the total state value of the lithium battery to be monitored.

[0136] In one embodiment, when the processor executes the computer program, it further performs the following steps: obtaining parameter information of the lithium battery to be monitored, including:

[0137] The internal parameters of the lithium battery to be monitored are acquired through internal sensors; the internal parameters include at least one of the following: voltage, impedance, temperature and air pressure.

[0138] External parameters of the lithium battery to be monitored are acquired through external sensors; the external parameters include at least one of voltage, impedance and temperature information of the lithium battery to be monitored.

[0139] In one embodiment, when the processor executes the computer program, it further implements the following steps: after determining the lithium plating state of the lithium battery to be monitored based on the index values ​​of the lithium plating indexes predicted by each lithium plating state prediction model, the method further includes:

[0140] Based on the lithium plating control model, the control strategy for the lithium battery to be monitored is determined according to the lithium plating state of the lithium battery to be monitored; wherein, the control strategy includes at least one of the following: charging control strategy, discharging control strategy, battery repair strategy and thermal protection strategy.

[0141] A control strategy is adopted to regulate the lithium battery under monitoring.

[0142] In one embodiment, when the processor executes the computer program, it further performs the following steps: lithium deposition indicators include at least one of lithium dendrite content, size, morphology, growth rate, and location.

[0143] In one embodiment, a computer-readable storage medium is provided having a computer program stored thereon, the computer program performing the following steps when executed by a processor:

[0144] Obtain parameter information of the lithium battery to be monitored; the parameter information includes external parameter information and internal parameter information.

[0145] At least two different lithium plating state prediction models are used to predict the index values ​​of the lithium battery under the lithium plating index based on the parameter information.

[0146] The lithium plating state of the lithium battery to be monitored is determined based on the index values ​​of the lithium plating indicators predicted by each lithium plating state prediction model.

[0147] In one embodiment, when the computer program is executed by the processor, it further performs the following steps: The number of lithium plating indicators is at least two; based on the indicator values ​​of the lithium plating indicators predicted by each lithium plating state prediction model, the lithium plating state of the lithium battery to be monitored is determined, including:

[0148] For each lithium deposition index, the total index value of the lithium deposition index is determined based on the index value predicted by each lithium deposition state prediction model and the weighting coefficient of each lithium deposition state prediction model for the lithium deposition index.

[0149] The lithium plating status of the lithium battery to be monitored is determined based on the total value of each lithium plating index.

[0150] In one embodiment, when the computer program is executed by the processor, it further performs the following steps: determining the total value of the lithium plating index based on the index values ​​of the lithium plating index predicted by each lithium plating state prediction model and the weighting coefficients of each lithium plating state prediction model for the lithium plating index, including:

[0151] For each lithium plating state prediction model, the weight coefficient of the lithium plating index is used to weight the index value of the lithium plating index predicted by the lithium plating state prediction model, so as to obtain the index score of the lithium plating index predicted by the lithium plating state prediction model.

[0152] The total value of the lithium deposition index is determined based on the index scores predicted by each lithium deposition state prediction model.

[0153] In one embodiment, when the computer program is executed by the processor, it further performs the following steps: monitoring the lithium plating state of the lithium battery to be monitored based on the total value of each lithium plating index, including:

[0154] Based on the relationship between the total value of each lithium plating index and the corresponding index threshold, the state score of each lithium plating index is determined.

[0155] The total state value of the lithium battery to be monitored is determined based on the state scores of each lithium plating index.

[0156] The lithium plating state of the lithium battery to be monitored is determined based on the total state value of the lithium battery to be monitored.

[0157] In one embodiment, when the computer program is executed by the processor, it further performs the following steps: obtaining parameter information of the lithium battery to be monitored, including:

[0158] The internal parameters of the lithium battery to be monitored are acquired through internal sensors; the internal parameters include at least one of the following: voltage, impedance, temperature and air pressure.

[0159] External parameters of the lithium battery to be monitored are acquired through external sensors; the external parameters include at least one of voltage, impedance and temperature information of the lithium battery to be monitored.

[0160] In one embodiment, when the computer program is executed by the processor, it further implements the following steps: after determining the lithium plating state of the lithium battery to be monitored based on the index values ​​of the lithium plating indicators predicted by each lithium plating state prediction model, the method further includes:

[0161] Based on the lithium plating control model, the control strategy for the lithium battery to be monitored is determined according to the lithium plating state of the lithium battery to be monitored; wherein, the control strategy includes at least one of the following: charging control strategy, discharging control strategy, battery repair strategy and thermal protection strategy.

[0162] A control strategy is adopted to regulate the lithium battery under monitoring.

[0163] In one embodiment, when the computer program is executed by the processor, it further performs the following steps: lithium deposition indicators include at least one of lithium dendrite content, size, morphology, growth rate, and location.

[0164] In one embodiment, a computer program product is provided, including a computer program that, when executed by a processor, performs the following steps:

[0165] Obtain parameter information of the lithium battery to be monitored; the parameter information includes external parameter information and internal parameter information.

[0166] At least two different lithium plating state prediction models are used to predict the index values ​​of the lithium battery under the lithium plating index based on the parameter information.

[0167] The lithium plating state of the lithium battery to be monitored is determined based on the index values ​​of the lithium plating indicators predicted by each lithium plating state prediction model.

[0168] In one embodiment, when the computer program is executed by the processor, it further performs the following steps: The number of lithium plating indicators is at least two; based on the indicator values ​​predicted by each lithium plating state prediction model, the lithium plating state of the lithium battery to be monitored is determined, including:

[0169] For each lithium plating index, the total index value of the lithium plating index is determined based on the index value predicted by each lithium plating state prediction model and the weighting coefficient of each lithium plating state prediction model for the lithium plating index.

[0170] The lithium plating status of the lithium battery to be monitored is determined based on the total value of each lithium plating index.

[0171] In one embodiment, when the computer program is executed by the processor, it further performs the following steps: determining the total value of the lithium plating index based on the index values ​​of the lithium plating index predicted by each lithium plating state prediction model and the weighting coefficients of each lithium plating state prediction model for the lithium plating index, including:

[0172] For each lithium plating state prediction model, the weight coefficient of the lithium plating index is used to weight the index value of the lithium plating index predicted by the lithium plating state prediction model, so as to obtain the index score of the lithium plating index predicted by the lithium plating state prediction model.

[0173] The total value of the lithium deposition index is determined based on the index scores predicted by each lithium deposition state prediction model.

[0174] In one embodiment, when the computer program is executed by the processor, it further performs the following steps: monitoring the lithium plating state of the lithium battery to be monitored based on the total value of each lithium plating index, including:

[0175] Based on the relationship between the total value of each lithium plating index and the corresponding index threshold, the state score of each lithium plating index is determined.

[0176] The total state value of the lithium battery to be monitored is determined based on the state scores of each lithium plating index.

[0177] The lithium plating state of the lithium battery to be monitored is determined based on the total state value of the lithium battery to be monitored.

[0178] In one embodiment, when the computer program is executed by the processor, it further performs the following steps: obtaining parameter information of the lithium battery to be monitored, including:

[0179] The internal parameters of the lithium battery to be monitored are acquired through internal sensors; the internal parameters include at least one of the following: voltage, impedance, temperature and air pressure.

[0180] External parameters of the lithium battery to be monitored are acquired through external sensors; the external parameters include at least one of voltage, impedance and temperature information of the lithium battery to be monitored.

[0181] In one embodiment, when the computer program is executed by the processor, it further implements the following steps: after determining the lithium plating state of the lithium battery to be monitored based on the index values ​​of the lithium plating indicators predicted by each lithium plating state prediction model, the method further includes:

[0182] Based on the lithium plating control model, the control strategy for the lithium battery to be monitored is determined according to the lithium plating state of the lithium battery to be monitored; wherein, the control strategy includes at least one of the following: charging control strategy, discharging control strategy, battery repair strategy and thermal protection strategy.

[0183] A control strategy is adopted to regulate the lithium battery under monitoring.

[0184] In one embodiment, when the computer program is executed by the processor, it further performs the following steps: lithium deposition indicators include at least one of lithium dendrite content, size, morphology, growth rate, and location.

[0185] Those skilled in the art will understand that all or part of the processes in the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium. When executed, the computer program can include the processes of the embodiments described above. Any references to memory, databases, or other media used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM). The databases involved in the embodiments provided in this application may include at least one type of relational database and non-relational database. Non-relational databases may include, but are not limited to, blockchain-based distributed databases. The processors involved in the embodiments provided in this application may be general-purpose processors, central processing units, graphics processing units, digital signal processors, programmable logic devices, quantum computing-based data processing logic devices, etc., and are not limited to these.

[0186] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0187] The embodiments described above are merely illustrative of several implementation methods of this application, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of this patent application. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this application should be determined by the appended claims.

Claims

1. A method for determining the lithium plating state of a lithium battery, characterized in that, The method includes: Obtain parameter information of the lithium battery to be monitored; wherein, the parameter information includes external parameter information and internal parameter information; At least two different lithium plating state prediction models are used to predict the index values ​​of the lithium battery under the lithium plating index based on the parameter information. The lithium plating state of the lithium battery to be monitored is determined based on the index values ​​of the lithium plating indicators predicted by each lithium plating state prediction model.

2. The method according to claim 1, characterized in that, The number of lithium plating indicators is at least two. Determining the lithium plating state of the lithium battery to be monitored based on the indicator values ​​predicted by each lithium plating state prediction model includes: For each lithium deposition index, the total index value of the lithium deposition index is determined based on the index value predicted by each lithium deposition state prediction model and the weighting coefficient of each lithium deposition state prediction model for the lithium deposition index. The lithium plating state of the lithium battery to be monitored is determined based on the total value of each lithium plating index.

3. The method according to claim 2, characterized in that, The step of determining the total value of the lithium plating index based on the index values ​​predicted by each lithium plating state prediction model and the weighting coefficients of each lithium plating state prediction model for the lithium plating index includes: For each lithium plating state prediction model, the weight coefficient of the lithium plating index is used to weight the index value of the lithium plating index predicted by the lithium plating state prediction model, so as to obtain the index score of the lithium plating index predicted by the lithium plating state prediction model. The total value of the lithium deposition index is determined based on the index scores predicted by each lithium deposition state prediction model.

4. The method according to claim 2, characterized in that, The monitoring of the lithium plating state of the lithium battery under test based on the total value of each lithium plating index includes: Based on the relationship between the total value of each lithium plating index and the corresponding index threshold, the state score of each lithium plating index is determined. The total state value of the lithium battery to be monitored is determined based on the state scores of each lithium plating index. The lithium plating state of the lithium battery under monitoring is determined based on the total state value of the lithium battery under monitoring.

5. The method according to claim 1, characterized in that, The acquisition of parameter information of the lithium battery to be monitored includes: The internal parameter information of the lithium battery to be monitored is obtained through internal sensors; wherein, the internal parameter information includes at least one of the voltage information, impedance information, temperature information and air pressure information of the lithium battery to be monitored. External parameter information of the lithium battery to be monitored is acquired through external sensors; wherein, the external parameter information includes at least one of voltage information, impedance information and temperature information of the lithium battery to be monitored.

6. The method according to claim 1, characterized in that, After determining the lithium plating state of the lithium battery to be monitored based on the index values ​​of the lithium plating indicators predicted by each lithium plating state prediction model, the method further includes: Based on the lithium plating control model, a control strategy for the lithium battery to be monitored is determined according to the lithium plating state of the lithium battery to be monitored; wherein, the control strategy includes at least one of the following: charging control strategy, discharging control strategy, battery repair strategy, and thermal protection strategy. The aforementioned control strategy is used to regulate the lithium battery to be monitored.

7. The method according to claim 1, characterized in that, The lithium deposition indicators include at least one of lithium dendrite content, size, morphology, growth rate, and location.

8. A device for determining the lithium plating state of a lithium battery, characterized in that, The device includes: The acquisition module is used to acquire parameter information of the lithium battery to be monitored; wherein, the parameter information includes external parameter information and internal parameter information; The prediction module is used to use at least two different lithium plating state prediction models to predict the index value of the lithium battery under the lithium plating index based on the parameter information. The first determining module is used to determine the lithium plating state of the lithium battery to be monitored based on the index values ​​of the lithium plating indicators predicted by each lithium plating state prediction model.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the method for determining the lithium plating state of a lithium battery as described in any one of claims 1 to 7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the steps of the method for determining the lithium plating state of a lithium battery as described in any one of claims 1 to 7.

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