Battery cell safety management system for a mobile power supply

Abstract

The application relates to the technical field of mobile power supply safety management, in particular to a battery cell safety management system of a mobile power supply, which comprises a battery pack composed of a plurality of battery cells; a temperature detection module used for detecting the temperature of the battery pack in real time; a current detection module used for detecting the discharging current and the charging current of the battery pack in real time; a voltage detection module used for detecting the voltage of the battery pack in real time; and a main controller used for analyzing the data of the temperature detection module, the current detection module and the voltage detection module by using a machine learning algorithm and used for controlling the input and output power of the battery pack. The application aims to provide a battery cell safety management system of a mobile power supply, which can perform input and output management on the temperature, current and voltage of the battery pack of the mobile power supply, and improve the safety of the mobile power supply.

Description

Technical Field

[0001] The present invention relates to the technical field of mobile power supply safety management, and in particular to a battery cell safety management system for a mobile power supply. Background Art

[0002] With the popularity of devices such as smartphones and tablets, the use of mobile power banks is increasing. Simultaneously, mobile power banks have a wide range of applications in the civilian sector, particularly in industrial equipment, robots, computer servers, and electric vehicles, where there is a huge demand for long-range power. However, these industrial applications place high demands on the safety, reliability, adaptability, and scalability of mobile power banks.

[0003] Currently, mobile power supplies lack effective power balancing management, and are affected by the environment, resulting in unstable power supply voltage and unbalanced power, which makes it impossible to guarantee the safety of mobile power supplies. Summary of the Invention

[0004] In order to overcome the shortcomings and deficiencies in the prior art, the purpose of the present invention is to provide a battery cell safety management system for a mobile power supply, which can manage the input and output of the battery pack of the mobile power supply in terms of temperature, current and voltage, thereby improving the safety of the mobile power supply.

[0005] The present invention is achieved through the following technical solutions:

[0006] In a first aspect, the present invention discloses a battery cell safety management system for a mobile power supply, which comprises: a battery pack composed of a plurality of battery cells;

[0007] Temperature detection module, used to detect the temperature of the battery pack in real time;

[0008] Current detection module, used to detect the discharge current and charging current of the battery pack in real time;

[0009] Voltage detection module, used to detect the voltage of the battery pack in real time;

[0010] and a main controller for analyzing data from the temperature detection module, the current detection module, and the voltage detection module using a machine learning algorithm and for controlling the input and output power of the battery pack;

[0011] In a second aspect, the present invention further discloses a method for managing the safety of a battery cell of a mobile power supply, which comprises the following steps:

[0012] S100. The main controller is initialized to set the initial detection threshold and system model;

[0013] S200. The temperature detection module obtains the temperature of the battery pack in real time, the current detection module obtains the charging current or discharging current of the battery pack in real time, and the voltage detection module obtains the voltage of the battery pack in real time;

[0014] S300. The main controller uses a machine learning algorithm to analyze the data from the temperature detection module, the current detection module, and the voltage detection module, and controls the input or output power of the battery pack in real time according to the user's usage scenario.

[0015] In combination with the second aspect, further, in step S200, the calculation formula for temperature detection is:

[0016]

[0017] Where T(t) is the temperature of the battery pack at time t, T0 is the initial temperature of the battery pack, P(t′) is the power loss at time t′, C is the heat capacity of the battery pack, and ∈(t) is the noise term affected by the external environment.

[0018] In combination with the second aspect, the battery cell safety management system further includes step S401: the main controller predicts the temperature of the battery pack according to the temperature change of the battery pack, and the temperature prediction step is:

[0019] Set the state prediction equation, and the calculation formula of the state prediction equation is:

[0020] x k =Ax k-1 +Bu k +ω k ;

[0021] Set the observation equation, and the calculation formula of the observation equation is:

[0022] y k =Hx k-1 +Bu k +v k ;

[0023] Among them, x k is the temperature state variable, u k is the power loss value, y k is the actual temperature value, A, B, H are system matrices, ω k 、v k For noise.

[0024] In combination with the second aspect, further, in step S200, the calculation formula for current detection is:

[0025] I(t)=I set +∈ I (t):

[0026] Where, I(t) is the battery pack current at time t, I set is the set current, ∈ I (t) is the current noise.

[0027] In combination with the second aspect, the battery cell safety management system further includes step S402: the main controller limits the current of the battery pack according to the current change of the battery pack, and the calculation formula of the current limit is:

[0028]

[0029] Among them, I ctrl (t) is the controlled value of the battery pack current at time t, e(t) is the current error, K i , K i , K d is the control parameter.

[0030] In combination with the second aspect, further, in step S200, the calculation formula for voltage detection is:

[0031] V(t)=V oc -I(t)·R+∈ V (t);

[0032] Where V(t) is the cell voltage at time t, V oc is the open circuit voltage, I(t) is the battery pack current at time t, R is the internal resistance of the battery pack, ∈ V (t) is the voltage noise.

[0033] In combination with the second aspect, the battery cell safety management system further includes step S403: the main controller adjusts the voltage of the battery pack according to the voltage change of the battery pack, and the calculation formula for voltage adjustment is:

[0034]

[0035] Among them, V bal (t) is the controlled value of the battery pack voltage at time t, V i (t) is the voltage of the i-th battery cell of the battery pack at time t, and n is the number of battery cells.

[0036] In combination with the second aspect, the battery cell safety management system further includes step S500: performing fault judgment on the data of the temperature detection module, the current detection module, and the voltage detection module in step S300, and performing vector classification on the fault. The fault judgment process is as follows:

[0037] Feature extraction: Among them, F k is the component of the kth frequency, and x(t) is the time signal;

[0038] Fault classification: Among them, f(x) is the classification function, a i ,yi ,x i is the support vector and its corresponding parameters, K(x i ,x) is the kernel function and b is the bias.

[0039] In a third aspect, the present invention further discloses an electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the battery cell production optimization method as described above.

[0040] In a fourth aspect, the present invention further discloses a computer-readable storage medium having a computer program stored thereon, wherein the program is executed by a processor to implement the battery cell production scheduling optimization method as described above.

[0041] Beneficial effects of the present invention:

[0042] The present invention provides a battery cell safety management system, method, electronic device, and storage medium for a mobile power supply. The system detects the temperature, current, and voltage of the mobile power supply's battery pack and makes targeted adjustments based on changes in these three parameters, thereby achieving real-time control of the battery pack's input or output power according to the user's usage scenario and improving the safety of the mobile power supply. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] The present invention is further described with reference to the accompanying drawings. However, the embodiments in the accompanying drawings do not constitute any limitation to the present invention. A person skilled in the art can obtain other drawings based on the following drawings without creative effort.

[0044] Figure 1 Flowchart of a battery cell safety management method according to an embodiment of the present invention. DETAILED DESCRIPTION

[0045] To make the above-mentioned objects, features, and advantages of the present invention more readily apparent, specific embodiments of the present invention are described in detail below with reference to the accompanying drawings. The following description sets forth numerous specific details to facilitate a full understanding of the present invention. However, the present invention can be implemented in many other ways than those described herein, and those skilled in the art may make similar modifications without departing from the scope of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0046] With the increasing application of mobile power supplies in daily life and industry, for example, mobile power supplies equipped with automotive-grade batteries have become widely used. In addition, mobile power supplies are increasingly used in energy storage and other fields. Mobile power supplies can be regarded as a collection of one or more battery cells. In related technologies, battery cell production plans are mostly strictly based on the required quantity of the order. This setting limits the feasibility of the production scheduling plan and cannot meet the uncertainty and diversity of demand in the mobile power supply business.

[0047] Example 1

[0048] In order to solve the above problems, this embodiment discloses a method for managing the safety of battery cells of a mobile power supply, which includes the following steps:

[0049] S100. The main controller is initialized to set the initial detection threshold and system model;

[0050] S200. The temperature detection module obtains the temperature of the battery pack in real time, the current detection module obtains the charging current or discharging current of the battery pack in real time, and the voltage detection module obtains the voltage of the battery pack in real time;

[0051] S300. The main controller uses a machine learning algorithm to analyze the data from the temperature detection module, the current detection module, and the voltage detection module, and controls the input or output power of the battery pack in real time according to the user's usage scenario.

[0052] Furthermore, in step S200, the calculation formula for temperature detection is:

[0053]

[0054] Where T(t) is the temperature of the battery pack at time t, T0 is the initial temperature of the battery pack, P(t′) is the power loss at time t′, C is the heat capacity of the battery pack, and ∈(t) is the noise term affected by the external environment.

[0055] Furthermore, the battery cell safety management system further includes step S401: the main controller predicts the temperature of the battery pack according to the temperature change of the battery pack, and the temperature prediction steps are:

[0056] Set the state prediction equation, and the calculation formula of the state prediction equation is:

[0057] x k =Ax k-1 +Bu k +ω k ;

[0058] Set the observation equation, and the calculation formula of the observation equation is:

[0059] y k =Hxk-1 +Bu k +v k ;

[0060] Among them, x k is the temperature state variable, u k is the power loss value, y k is the actual temperature value, A, B, H are system matrices, ω k 、v k For noise.

[0061] Furthermore, in step S200, the calculation formula for current detection is:

[0062] I(t)=I set +∈ I (t):

[0063] Where, I(t) is the battery pack current at time t, I set is the set current, ∈ I (t) is the current noise.

[0064] Furthermore, the battery cell safety management system further includes step S402: the main controller limits the current of the battery pack according to the current change of the battery pack, and the calculation formula of the current limit is:

[0065]

[0066] Among them, I ctrl (t) is the controlled value of the battery pack current at time t, e(t) is the current error, K i , K i , K d is the control parameter.

[0067] Furthermore, in step S200, the calculation formula for voltage detection is:

[0068] V(t)=V oc -I(t)·R+∈ V (t);

[0069] Where V(t) is the cell voltage at time t, V oc is the open circuit voltage, I(t) is the battery pack current at time t, R is the internal resistance of the battery pack, ∈ V (t) is the voltage noise.

[0070] Furthermore, the battery cell safety management system further includes step S403: the main controller adjusts the voltage of the battery pack according to the voltage change of the battery pack, and the calculation formula for voltage adjustment is:

[0071]

[0072] Among them, V bal (t) is the controlled value of the battery pack voltage at time t, V i (t) is the voltage of the i-th battery cell of the battery pack at time t, and N is the number of battery cells.

[0073] Furthermore, the battery cell safety management system further includes step S500: performing fault diagnosis on the data of the temperature detection module, the current detection module, and the voltage detection module in step S300, and performing vector classification on the fault. The fault diagnosis process is as follows:

[0074] Feature extraction: Among them, F k is the component of the kth frequency, and x(t) is the time signal;

[0075] Fault classification: Among them, f(x) is the classification function, a i ,y i ,x i is the support vector and its corresponding parameters, K(x i ,x) is the kernel function and b is the bias.

[0076] In addition, this embodiment also provides a battery cell safety management system for a mobile power supply, which can be used to execute the method described in the previous embodiment. It includes:

[0077] A battery pack consisting of several cells;

[0078] Temperature detection module, used to detect the temperature of the battery pack in real time;

[0079] Current detection module, used to detect the discharge current and charging current of the battery pack in real time;

[0080] Voltage detection module, used to detect the voltage of the battery pack in real time;

[0081] And a main controller, which uses a machine learning algorithm to analyze the data of the temperature detection module, the current detection module, and the voltage detection module and to control the input and output power of the battery pack.

[0082] The battery scheduling device provided in the above-mentioned embodiment of the present application and the battery scheduling method provided in the embodiment of the present application are based on the same application concept and have the same beneficial effects as the methods adopted, run or implemented by the application programs stored therein.

[0083] Example 2

[0084] This embodiment provides a computer device, including a processor and a storage medium;

[0085] The storage medium is used to store instructions;

[0086] The processor is configured to operate according to the instructions to execute the steps of any one of the methods described in Example 1.

[0087] Example 3

[0088] An embodiment of the present invention further provides a computer-readable storage medium having a computer program stored thereon, which implements the steps of the method described in Example 1 when executed by a processor.

[0089] In summary, the present invention provides a battery cell safety management system, method, electronic device, and storage medium for a mobile power supply. These systems detect the temperature, current, and voltage of the mobile power supply's battery pack separately, and make targeted adjustments based on changes in these three parameters. This allows for real-time control of the battery pack's input or output power based on the user's usage scenario, thereby improving the safety of the mobile power supply.

[0090] Those skilled in the art will appreciate that the embodiments of the present application can be provided as methods, systems, or computer program products. Therefore, the present application can adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application can adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage, CD-ROM, optical storage, etc.) that contain computer-usable program code.

[0091] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the steps in the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0092] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.

[0093] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0094] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the scope of protection of the present invention. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the essence and scope of the technical solutions of the present invention.

Claims

1. A battery safety management system for a mobile power supply, characterized in that: include: A battery pack consisting of several cells; Temperature detection module, used to detect the temperature of the battery pack in real time; Current detection module, used to detect the discharge current and charging current of the battery pack in real time; Voltage detection module, used to detect the voltage of the battery pack in real time; and a main controller for analyzing data from the temperature detection module, the current detection module, and the voltage detection module using a machine learning algorithm and for controlling the input and output power of the battery pack; The battery cell safety management system is used to perform the following steps: S100 main controller initialization, set the initial detection threshold and system model; S200 temperature detection module to obtain the temperature of the battery pack in real time, the current detection module to obtain the battery pack charging current or discharge current in real time, the voltage detection module to obtain the battery pack voltage in real time; S300. The main controller uses a machine learning algorithm to analyze the data from the temperature detection module, the current detection module, and the voltage detection module, and controls the input or output power of the battery pack in real time according to the user's usage scenario; S402: The main controller limits the current of the battery pack according to the current change of the battery pack. The calculation formula of the current limit is: in, For the moment The amount of battery current controlled, is the current error, is the control parameter; S500: Perform fault diagnosis on the data of the temperature detection module, the current detection module, and the voltage detection module in step S300, and perform vector classification on the fault. The fault diagnosis process is as follows: Feature extraction: ,in, For the The frequency components, is the time signal; Fault classification: ,in, is the classification function, are support vectors and their corresponding parameters, is the kernel function, is bias; In step S200, the calculation formula for current detection is: in, For the moment The battery pack current, To set the current, is the current noise.

2. The battery cell safety management system for a mobile power supply according to claim 1, characterized in that: In step S200, the calculation formula for temperature detection is: in, It's time The temperature of the battery pack, is the initial temperature of the battery pack, It's time The power loss, is the thermal capacity of the battery pack, is the noise term affected by the external environment.

3. The battery cell safety management system for a mobile power supply according to claim 2, characterized in that: The battery cell safety management system further includes step S401: the main controller predicts the temperature of the battery pack according to the temperature change of the battery pack, and the temperature prediction steps are as follows: Set the state prediction equation, and the calculation formula of the state prediction equation is: Set the observation equation, and the calculation formula of the observation equation is: in, is the temperature state variable, is the power loss value, is the actual temperature value, is the system matrix, 、 For noise.

4. The battery cell safety management system for a mobile power supply according to claim 1, characterized in that: In step S200, the calculation formula for voltage detection is: in, For the moment The cell voltage, is the open circuit voltage, For the moment The battery pack current, is the internal resistance of the battery pack, is the voltage noise.

5. The battery cell safety management system for a mobile power supply according to claim 4, characterized in that: The battery cell safety management system further includes step S403: the main controller adjusts the voltage of the battery pack according to the voltage change of the battery pack. The calculation formula for voltage adjustment is: in, For the moment The amount of battery pack voltage control, For the moment Medium battery pack The voltage of the battery cell, The number of battery cells.

Images