Battery cell safety management system of mobile power supply

Abstract

The invention 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 consisting of a plurality of battery cells; the temperature detection module is used for detecting the temperature of the battery pack in real time; the current detection module is used for detecting the discharging current and the charging current of the battery pack in real time; the voltage detection module is used for detecting the voltage of the battery pack in real time; and the main controller is used for analyzing data of the temperature detection module, the current detection module and the voltage detection module by using a machine learning algorithm and controlling input and output power of the battery pack. The invention aims to provide the cell safety management system of the mobile power supply, which can perform input and output management on the battery pack of the mobile power supply in the aspects of temperature, current and voltage, 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 smart phones, tablet computers and other devices, the use of mobile power is increasing. At the same time, mobile power has a wide range of applications in the civilian field, especially in industrial equipment, robots, computer servers, electric vehicles, etc., where there is a huge demand for endurance power. However, the above-mentioned industry applications have high requirements for the safety, reliability, adaptability and scalability of mobile power devices.

[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 ensure 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 source, which can manage the input and output of the battery pack of the mobile power source in terms of temperature, current and voltage, thereby improving the safety of the mobile power source.

[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 source, which comprises: a battery pack composed of a plurality of battery cells;

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

[0008] A current detection module is used to detect the discharge current and charge 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 source, 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 of 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 thermal capacity of the battery pack, and ∈(t) is the noise term affected by the external environment.

[0018] In combination with the second aspect, further, 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, 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, further, the battery 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, further, the battery 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 of the 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, further, the battery 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 process of fault judgment 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 discloses a battery cell safety management system, method, electronic device and storage medium for a mobile power source. The battery pack of the mobile power source is respectively tested for temperature, current and voltage, and targeted adjustments are made according to changes in these three parameters, so as to achieve real-time control of the input or output power of the battery pack according to the user's usage scenario, thereby improving the safety of the mobile power source. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] The present invention is further described using the accompanying drawings, but 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 work.

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

[0048] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific embodiments of the present invention are described in detail below in conjunction with the accompanying drawings. In the following description, many specific details are set forth to facilitate a full understanding of the present invention. However, the present invention can be implemented in many other ways different from those described herein, and those skilled in the art can make similar improvements without violating the connotation of the present invention, so the present invention is not limited by the specific embodiments disclosed below.

[0049] As mobile power supplies are increasingly used in life and industry, for example, mobile power supplies equipped with automotive-grade batteries have been widely used. In addition, mobile power supplies are increasingly used in the field of energy storage, etc. Mobile power supplies can be regarded as a collection of one or more batteries. In related technologies, battery cell production plans are mostly strictly produced according to the required quantity of orders. This setting limits the feasibility of the production plan and cannot meet the uncertainty and diversity of demand for mobile power business.

[0050] Example 1

[0051] In order to solve the above problems, this embodiment discloses a method for managing the safety of a battery cell of a mobile power source, the method comprising the following steps:

[0052] S100. The main controller is initialized to set the initial detection threshold and system model;

[0053] 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;

[0054] S300. The main controller uses a machine learning algorithm to analyze the data of 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.

[0055] Furthermore, in step S200, the calculation formula for temperature detection is:

[0056]

[0057] 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 thermal capacity of the battery pack, and ∈(t) is the noise term affected by the external environment.

[0058] Furthermore, the battery 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:

[0059] Set the state prediction equation, the calculation formula of the state prediction equation is:

[0060] x k =Ax k-1 +Bu k +ω k ;

[0061] Set the observation equation, and the calculation formula of the observation equation is:

[0062] y k =Hxk-1 +Bu k +v k ;

[0063] 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.

[0064] Furthermore, in step S200, the calculation formula for current detection is:

[0065] I(t)=I set +∈ I (t):

[0066] Where, I(t) is the battery pack current at time t, I set is the set current, ∈ I (t) is the current noise.

[0067] Furthermore, the battery 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:

[0068]

[0069] 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.

[0070] Furthermore, in step S200, the calculation formula for voltage detection is:

[0071] V(t)=V oc -I(t)·R+∈ V (t);

[0072] 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.

[0073] Furthermore, the battery safety management system further includes step S403: the main controller regulates the voltage of the battery pack according to the voltage change of the battery pack, and the calculation formula for voltage regulation is:

[0074]

[0075] 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.

[0076] Furthermore, the battery 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 process of fault judgment is as follows:

[0077] Feature extraction: Among them, F k is the component of the kth frequency, and x(t) is the time signal;

[0078] 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.

[0079] In addition, this embodiment also provides a battery safety management system for a mobile power source, which can be used to execute the method described in the previous embodiment. It includes:

[0080] A battery pack consisting of several cells;

[0081] A temperature detection module is used to detect the temperature of the battery pack in real time;

[0082] A current detection module is used to detect the discharge current and charge current of the battery pack in real time;

[0083] Voltage detection module, used to detect the voltage of the battery pack in real time;

[0084] And a main controller, which is used to use 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.

[0085] 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.

[0086] Example 2

[0087] This embodiment provides a computer device, including a processor and a storage medium;

[0088] The storage medium is used to store instructions;

[0089] The processor is used to operate according to the instructions to execute the steps of any method described in Example 1.

[0090] Example 3

[0091] An embodiment of the present invention further provides a computer-readable storage medium on which a computer program is stored. When the program is executed by a processor, the steps of the method described in Embodiment 1 are implemented.

[0092] In summary, the present invention provides a battery cell safety management system, method, electronic device and storage medium for a mobile power source, which respectively detects the temperature, current and voltage of the battery pack of the mobile power source, and makes targeted adjustments according to the changes in these three parameters, so as to achieve real-time control of the input or output power of the battery pack according to the user's usage scenario, thereby improving the safety of the mobile power source.

[0093] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may 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 may adopt the form of a computer program product implemented in one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that include computer-usable program code.

[0094] 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 generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. 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.

[0095] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate 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 A function specified in one or more boxes.

[0096] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0097] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution 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 solution of the present invention can be modified or replaced by equivalents without departing from the essence and scope of the technical solution of the present invention.

Claims

1. A battery safety management system for a mobile power source, characterized in that: include: A battery pack consisting of several cells; A temperature detection module is used to detect the temperature of the battery pack in real time; A current detection module is used to detect the discharge current and charge 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 safety management system is used to perform the following steps: S100. The main controller is initialized to set the initial detection threshold and system model; 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; S300. The main controller uses a machine learning algorithm to analyze the data of 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.

2. The battery cell safety management system of a mobile power source according to claim 1, characterized in that: In step S200, the calculation formula for temperature detection is: Where T(t) is the temperature of the battery pack at time t, T0 is the initial temperature of the battery pack, and P(t ′ ) is the time t ′ is the power loss, C is the heat capacity of the battery pack, and ∈(t) is the noise term affected by the external environment.

3. The battery cell safety management system of a mobile power source according to claim 2, characterized in that: The battery 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: Set the state prediction equation, the calculation formula of the state prediction equation is: x k =Ax k-1 +Bu k +ω k 4 Set the observation equation, and the calculation formula of the observation equation is: y k =Hx k-1 +This k +v k ; 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.

4. The battery cell safety management system of a mobile power source according to claim 1, characterized in that: In step S200, the calculation formula for current detection is: I(t)=I set +∈ I (t): Where, I(t) is the battery pack current at time t, I set is the set current, ∈ I (t) is the current noise.

5. The battery cell safety management system of a mobile power source according to claim 4, characterized in that: The battery 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: 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.

6. The battery cell safety management system of a mobile power source according to claim 1, characterized in that: In step S200, the calculation formula for voltage detection is: V(t)=V oc -I(t)·R+∈ V (t); 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.

7. The battery cell safety management system of a mobile power source according to claim 6, characterized in that: The battery 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: 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.

8. The battery cell safety management system of a mobile power source according to claim 1, characterized in that: The battery 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 process of fault judgment is as follows: Feature extraction: Among them, F k is the component of the kth frequency, and x(t) is the time signal; 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.

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