Lithium battery intelligent management control method and device, electronic equipment and storage medium

Abstract

The invention relates to the technical field of battery management, and provides a lithium battery intelligent management control method and device, electronic equipment and a storage medium. When a target interface of a target power supply detects a connector, protocol communication with connection equipment is carried out to obtain basic electric power, a power supply state parameter set of the target power supply is obtained through a sensor, and an adjustment weight coefficient set is determined according to power supply state parameters; and calculating a power adjustment coefficient according to a preset first adjustment formula, the power state parameter set and the adjustment weight coefficient set so as to dynamically adjust the output and / or input power of the target power supply according to the basic electric power and the power adjustment coefficient. The output and / or input power of the target power supply is dynamically adjusted according to the power supply state detected in real time, so that efficient operation of the target power supply in the charging and discharging process is ensured, and the target power supply is prevented from being overcharged and / or discharged.

Description

Technical Field

[0001] The present application relates to the field of battery management technology, and in particular to a lithium battery intelligent management and control method, device, electronic device and storage medium. Background Art

[0002] At present, lithium batteries are widely used in various mobile devices due to their excellent performance. In order to ensure the safe operation of lithium batteries, existing lithium battery management and control systems usually use basic voltage, current and temperature detection methods to monitor the battery status, and use preset fixed thresholds to judge the battery working status, and trigger protection measures when the set threshold is exceeded, such as cutting off the power supply or reducing the charging current.

[0003] Under the influence of the constantly changing working state and complex working environment of lithium batteries, the fixed threshold control method has limited protective effect on lithium batteries and cannot be dynamically adjusted according to the actual use of lithium batteries and environmental changes. Summary of the invention

[0004] In view of this, the present application provides a lithium battery intelligent management control method, device, electronic device and storage medium to solve the problem of adaptive control and regulation of lithium batteries.

[0005] The first aspect of the present application provides a lithium battery intelligent management and control method, the method comprising: When the target interface detects the connector, determining input and / or output basic electrical power according to a charging and / or discharging protocol; Acquire a power state parameter set of a target power source in real time, and determine an adjustment weight coefficient set according to the power state parameter set; Obtaining a power adjustment coefficient of the target power source according to a preset first adjustment formula, the power state parameter set, and the adjustment weight coefficient set; The input and / or output of the target power supply is adjusted according to the power adjustment coefficient and the input and / or output basic electric power.

[0006] In an optional implementation, the acquiring the power adjustment coefficient of the target power source according to the preset first adjustment formula, the power state parameter set and the adjustment weight coefficient set includes: The power regulation coefficient is calculated by the following formula: F=ɑ.g(T)+β.h(SoC)+γ.i(N); Among them, F is the power adjustment coefficient, ɑ is the first weight coefficient, g(T) is the battery temperature adjustment factor, h(SoC) is the power reserve adjustment factor, β is the second weight coefficient, i(N) is the charge and discharge times adjustment factor, and γ is the third weight coefficient.

[0007] In an optional embodiment, the method further comprises: The battery temperature adjustment factor is calculated by the following formula: Wherein, T is the battery temperature of the target power source acquired in real time, T opt is the optimal operating temperature of the target power supply, T range is the operating temperature range of the target power supply.

[0008] In an optional embodiment, the method further comprises: The power reserve adjustment factor is calculated by the following formula: Wherein, SoC is the remaining power of the target power source acquired in real time.

[0009] In an optional embodiment, the method further comprises: The charge and discharge times adjustment factor is calculated by the following formula: Wherein, N is the number of charge and discharge times of the target power source.

[0010] In an optional implementation manner, adjusting the input and / or output of the target power source according to the power adjustment coefficient and the input and / or output basic electric power includes: When the power regulation coefficient is less than 1, dynamically regulating power is calculated according to the power regulation coefficient and the input and / or output basic electric power; adjusting the input and / or output of the target power supply according to the dynamically adjusted power; When the power adjustment coefficient is greater than or equal to 1, the input and / or output of the target power supply is adjusted according to the basic power.

[0011] In an optional embodiment, the method further comprises: Acquire the real-time power output and / or input of the target power supply in real time; Calculating a power difference according to the dynamically adjusted power and the real-time power, and comparing the power difference with a preset difference threshold; When the power difference is not within the difference threshold, an alarm is issued according to a preset alarm mode.

[0012] A second aspect of the present application provides a lithium battery intelligent management and control device, the device comprising: A basic power module, for determining input and / or output basic electrical power according to a charging and / or discharging protocol when the target interface detects the connector; A power detection module, used to obtain a power state parameter set of a target power source in real time, and determine an adjustment weight coefficient set according to the power state parameter set; An adjustment coefficient module, used for obtaining a power adjustment coefficient of the target power source according to a preset first adjustment formula, the power state parameter set and the adjustment weight coefficient set; The power regulation module is used to regulate the input and / or output of the target power supply according to the power regulation coefficient and the input and / or output basic electric power.

[0013] The third aspect of the present application provides an electronic device, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, and the processor implements the steps of the above-mentioned lithium battery intelligent management and control method when executing the computer program.

[0014] A fourth aspect of the present application provides a computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the steps of the lithium battery intelligent management and control method as described above.

[0015] In summary, this application at least includes the following beneficial technical effects: 1. By acquiring power status parameters in real time and calculating and applying the power regulation coefficient based on the dynamic adjustment weight coefficient, the battery charging and discharging process can be optimized, which helps to improve the battery's energy efficiency and cycle life.

[0016] 2. By dynamically adjusting the input and output power of the battery, excessive charging and discharging can be avoided, battery wear and safety risks can be reduced, thereby improving the safety and reliability of the system.

[0017] 3. By adjusting the formula and dynamically adjusting the weight coefficient, it can be flexibly adjusted according to different workloads and environmental conditions, enhancing the adaptability of the target battery to complex working environments. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0019] Figure 1This is a flow chart of a lithium battery intelligent management and control method provided in an embodiment of the present application; Figure 2 It is a functional module diagram of a lithium battery intelligent management and control device provided in an embodiment of the present application; Figure 3 It is a schematic diagram of the structure of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0020] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0021] The lithium battery intelligent management control method provided in the embodiment of the present application is executed by an electronic device, and accordingly, the lithium battery intelligent management control device runs in the electronic device. The electronic device can be a battery management system circuit board (Battery Management System, BMS), or a battery intelligent management cloud platform. The lithium battery intelligent management control method provided in the embodiment of the present application is described below from the perspective of the BMS circuit board combined with the process of lithium battery charging and discharging.

[0022] like Figure 1 The figure is a flow chart of the lithium battery intelligent management and control method provided by the embodiment of the present application. The lithium battery intelligent management and control method provided by the embodiment of the present application includes the following steps.

[0023] Step S11: When the target interface detects the connector, the input and / or output basic electric power is determined according to the charging and / or discharging protocol.

[0024] The target interface is a charging interface and a discharging interface of a target power source, which will be collectively referred to as the target interface hereinafter.

[0025] It should be understood that a sensor is provided in the target interface of the target power source. When an external charging device and / or an external discharging device (hereinafter collectively referred to as an external device) is connected to the target interface, the sensor detects the embedded connector in the target interface, thereby triggering a signal change in the BMS circuit. The BMS circuit board determines whether the external device is inserted or removed by detecting the signal change.

[0026] When the target interface detects the connector, the BMS circuit board determines that an external device is connected to the target power supply, thereby establishing a wired communication connection with the external device through the target interface. The charge and discharge mode of the target power supply is determined by identifying the charging and / or discharging protocol (hereinafter collectively referred to as the charge and discharge protocol) of the connected external device. At the same time, a handshake process is performed between the target power supply and the external device according to the charge and discharge protocol to determine the basic parameters of the target power supply during charging or discharging. Among them, the basic parameters include, but are not limited to, the voltage and current range during the transmission process, the basic electric power, and the safety and protection measures during the transmission process (such as overcurrent protection and over-temperature protection, etc.).

[0027] Step S12: acquiring a power state parameter set of the target power source in real time, and determining an adjustment weight coefficient set according to the power state parameter set.

[0028] The power status parameter set includes but is not limited to battery temperature, remaining power, and charge and discharge times. The BMS circuit board obtains the battery temperature and remaining power of the target power source in real time through the integrated temperature sensor and power detection sensor. At the same time, by detecting the signal generated by the target interface sensor, the charge and discharge times of the target power source are determined and recorded.

[0029] After obtaining the power state parameter set, the BMS circuit board determines the adjustment weight coefficient set for adjusting the influence of different factors on power regulation according to the power state parameter set and the mapping table between the preset power state parameter set and the adjustment weight coefficient set. Among them, the adjustment weight coefficient set includes but is not limited to a first weight coefficient for indicating the influence of battery temperature, a second weight coefficient for indicating the influence of power reserve, and a third weight coefficient for indicating the influence of charge and discharge times. The adjustment weight coefficient set is determined based on factors such as the working state experimental data of the target power supply in various states, the performance characteristics of the target power supply, the power safety standards, and the power demand set by the user.

[0030] Step S13: acquiring a power adjustment coefficient of the target power source according to a preset first adjustment formula, the power state parameter set, and the adjustment weight coefficient set.

[0031] After obtaining the power state parameter set and the adjustment weight coefficient set, the BMS circuit board calculates the power adjustment coefficient by the following formula: F=ɑ.g(T)+β.h(SoC)+γ.i(N); Among them, F is the power adjustment coefficient, ɑ is the first weight coefficient, g(T) is the battery temperature adjustment factor, h(SoC) is the power reserve adjustment factor, β is the second weight coefficient, i(N) is the charge and discharge times adjustment factor, and γ is the third weight coefficient.

[0032] At the same time, the battery temperature adjustment factor is calculated by the following formula: Wherein, T is the battery temperature of the target power source acquired in real time, T opt is the optimal operating temperature of the target power supply, T range is the operating temperature range of the target power supply.

[0033] At the same time, the power reserve adjustment factor is calculated by the following formula: Wherein, SoC is the remaining power of the target power source acquired in real time.

[0034] And, the charge and discharge times adjustment factor is calculated by the following formula: Wherein, N is the number of charge and discharge times of the target power source.

[0035] Exemplarily, the power state parameters of the target power supply are: T = 30 degrees Celsius, SoC = 70%, N is 100, and the T preset in the BMS circuit board opt =25 degrees Celsius, T range ∈[10 degrees Celsius, 40 degrees Celsius]. According to the power state parameters of the target power supply, the BMS circuit board determines ɑ=0.3, β=0.3, γ=0.2.

[0036] According to the calculation formulas for battery temperature adjustment factor, power reserve adjustment factor, and charge and discharge times adjustment factor, the BMS circuit board performs the following calculations: g(T)=1-∣30-25∣ / (40-10)=5 / 6; h(SoC)=1; i(N)=1 / (1+log(100+1))≈1 / 3; And perform the following calculation according to the power regulation coefficient calculation formula: F=0.3x(5 / 6)+0.3x(1)+0.2x(1 / 3)=0.64.

[0037] Step S14: adjusting the input and / or output of the target power source according to the power adjustment coefficient and the input and / or output basic electric power.

[0038] After the BMS circuit board obtains the power regulation coefficient, it determines whether the power regulation coefficient is within the range of [0,1] to prevent the power after dynamic regulation of the BMS circuit board from exceeding the basic power.

[0039] When the power regulation coefficient is less than 1, it means that according to the current power supply state (such as temperature, power, charge and discharge times, etc.), the input or output power of the target power supply needs to be reduced to protect the target power supply and optimize its performance. The BMS circuit board calculates the dynamic adjustment power according to the power regulation coefficient and the input and / or output basic power, thereby adjusting the input and / or output of the target power supply according to the dynamic adjustment power. Among them, the BMS circuit board calculates the dynamic adjustment power by the following formula: P=P base .F; Among them, P base is the basic electric power, and P is the dynamically adjusted power.

[0040] For example, when P base =10W, and the calculated F=0.64, the BMS circuit board dynamically adjusts the power calculation formula to perform the following calculation: P = 0.64 x 10W = 6.4W.

[0041] After calculating the dynamic adjustment power, the BMS circuit board dynamically adjusts the output and / or input of the target power source according to the 6.4W electric power to ensure that the input or output power of the target power source matches the calculated dynamic adjustment power. For the charging process, if the target power source is a battery, the BMS will control the charger to reduce its output power to P to avoid problems such as battery overheating and overcharging. For the discharging process, if the target power source is a battery and is supplying power to the load, the BMS will control the inverter or DC-DC converter to reduce its output power to P to protect the battery and extend its service life.

[0042] When the power adjustment coefficient is greater than or equal to 1, it means that the current battery status is good and there is no reason to reduce the power. Therefore, the BMS will directly adjust the power according to the basic power P base To regulate the input and / or output of the target power supply.

[0043] In an optional embodiment, the method further comprises: Acquire the real-time power output and / or input of the target power supply in real time; Calculating a power difference according to the dynamically adjusted power and the real-time power, and comparing the power difference with a preset difference threshold; When the power difference is not within the difference threshold, an alarm is issued according to a preset alarm mode.

[0044] In order to accurately understand the actual working status of the current target power supply, it is necessary to obtain its output or input power value in real time. Power detection and early warning are performed through sensors or measuring devices installed on the BMS.

[0045] After obtaining the real-time power, it is compared with the dynamically adjusted power previously calculated based on the power adjustment coefficient, and the power difference is calculated using the following formula: ΔP=|P real -P|; Among them, P rea l is the real-time power, and ΔP is the power difference.

[0046] The power difference is then compared with a preset difference threshold, wherein the difference threshold is a reasonable power difference threshold preset according to the performance requirements, safety standards and actual application scenarios of the power supply system.

[0047] When the power difference is not within the difference threshold, there is a large deviation between the real-time power and the dynamically adjusted power, which may be caused by system failure, sensor error or external interference. At this time, it is necessary to alarm according to the preset alarm method. The alarm method includes but is not limited to sound alarm, light signal alarm, sending alarm information to the remote monitoring system, etc., so that the operator can quickly locate the problem and take corresponding measures.

[0048] The present application is applied to the field of battery management technology. When the target interface of the target power source detects the connector, the protocol communication is performed with the connected device to obtain the basic electric power. At the same time, the power state parameter set of the target power source is obtained through the sensor, and then the adjustment weight coefficient set is determined according to the power state parameter, so as to calculate the power adjustment coefficient according to the preset first adjustment formula, the power state parameter set and the adjustment weight coefficient set, so as to dynamically adjust the output and / or input power of the target power source according to the basic electric power and the power adjustment coefficient. The present application dynamically adjusts the output and / or input power of the target power source according to the power state detected in real time, thereby ensuring the efficient operation of the target power source during the charging and discharging process, and avoiding overcharging and / or discharging of the target power source.

[0049] like Figure 2 , which is a functional module diagram of a lithium battery intelligent management and control device provided in an embodiment of the present application.

[0050] In some embodiments, the lithium battery intelligent management and control device 2 may include a plurality of functional modules composed of computer program segments. The computer programs of the various program segments in the lithium battery intelligent management and control device 2 may be stored in a memory of a server and executed by at least one processor to execute (see Figure 1 Description) Functions of the intelligent management and control method for lithium batteries.

[0051] In this embodiment, the lithium battery intelligent management and control device 2 can be divided into multiple functional modules according to the functions it performs. The functional modules may include: a basic power module 21, a power detection module 22, an adjustment coefficient module 23, a power adjustment module 24, and a monitoring and alarm module 25. The module referred to in the present invention refers to a series of computer program segments that can be executed by at least one processor and can complete fixed functions, which are stored in a memory. In this embodiment, the functions of each module will be described in detail in subsequent embodiments.

[0052] The basic power module 21 is used to determine the input and / or output basic electric power according to the charging and / or discharging protocol when the target interface detects the connector.

[0053] The power detection module 22 is used to obtain a power state parameter set of a target power source in real time, and determine an adjustment weight coefficient set according to the power state parameter set.

[0054] The adjustment coefficient module 23 is used to obtain the power adjustment coefficient of the target power source according to a preset first adjustment formula, the power state parameter set and the adjustment weight coefficient set.

[0055] In an optional implementation, the adjustment coefficient module 23 is specifically used for: The power regulation coefficient is calculated by the following formula: F=ɑ.g(T)+β.h(SoC)+γ.i(N); Among them, F is the power adjustment coefficient, ɑ is the first weight coefficient, g(T) is the battery temperature adjustment factor, h(SoC) is the power reserve adjustment factor, β is the second weight coefficient, i(N) is the charge and discharge times adjustment factor, and γ is the third weight coefficient.

[0056] In an optional embodiment, the method further comprises: The battery temperature adjustment factor is calculated by the following formula: Wherein, T is the battery temperature of the target power source acquired in real time, T opt is the optimal operating temperature of the target power supply, T range is the operating temperature range of the target power supply.

[0057] In an optional implementation, the adjustment coefficient module 23 is further used to: The power reserve adjustment factor is calculated by the following formula: Wherein, SoC is the remaining power of the target power source acquired in real time.

[0058] In an optional implementation, the adjustment coefficient module 23 is further used to: The charge and discharge times adjustment factor is calculated by the following formula: Wherein, N is the number of charge and discharge times of the target power source.

[0059] The power regulating module 24 is used to regulate the input and / or output of the target power source according to the power regulating coefficient and the input and / or output basic electric power.

[0060] In an optional implementation, the power regulation module 24 is specifically used for: When the power regulation coefficient is less than 1, dynamically regulating power is calculated according to the power regulation coefficient and the input and / or output basic electric power; adjusting the input and / or output of the target power supply according to the dynamically adjusted power; When the power adjustment coefficient is greater than or equal to 1, the input and / or output of the target power supply is adjusted according to the basic power.

[0061] In an optional embodiment, the lithium battery intelligent management and control device 2 further includes a monitoring and alarm module 25, and the monitoring and alarm module 25 is used to: Acquire the real-time power output and / or input of the target power supply in real time; Calculating a power difference according to the dynamically adjusted power and the real-time power, and comparing the power difference with a preset difference threshold; When the power difference is not within the difference threshold, an alarm is issued according to a preset alarm mode.

[0062] It should be understood that the various variations and specific embodiments of the methods provided in the above embodiments are also applicable to the lithium battery intelligent management and control device of the present embodiment. Through the above detailed description of the lithium battery intelligent management and control method, those skilled in the art can clearly understand the implementation method of the lithium battery intelligent management and control device in the present embodiment. For the sake of brevity of the specification, it will not be described in detail here.

[0063] like Figure 3 , which is a schematic diagram of the structure of an electronic device provided in an embodiment of the present application.

[0064] In a preferred embodiment of the present invention, the electronic device 3 may include, but is not limited to: a memory 31 , at least one processor 32 and at least one communication bus 33 .

[0065] Those skilled in the art should understand that Figure 3The structure of the electronic device 3 shown does not constitute a limitation of the embodiment of the present invention, and the electronic device 3 may also include more or less other hardware or software than shown in the figure, or a different arrangement of components.

[0066] In some embodiments, the electronic device 3 is a device that can automatically perform numerical calculations and / or information processing according to pre-set or stored instructions, and its hardware includes but is not limited to microprocessors, application-specific integrated circuits, programmable gate arrays, digital processors and embedded devices.

[0067] It should be noted that the electronic device 3 is only an example, and other existing or future electronic products that are suitable for the present application should also be included in the protection scope of the present application and included here by reference.

[0068] In some embodiments, a computer program is stored in the memory 31, and when the computer program is executed by the at least one processor 32, all or part of the steps in the lithium battery intelligent management control method as described above are implemented. The memory 31 includes a read-only memory (ROM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), a one-time programmable read-only memory (OTPROM), an electronically erasable rewritable read-only memory (EEPROM), a compact disc read-only memory (CD-ROM) or other optical disc memory, magnetic disk memory, magnetic tape memory, or any other computer-readable medium that can be used to carry or store data. Further, the computer-readable storage medium may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application required for at least one function, and the like.

[0069] In some embodiments, the at least one processor 32 is the control core (ControlUnit) of the electronic device 3, and uses various interfaces and lines to connect the various components of the entire electronic device 3, and executes various functions and processes data of the electronic device 3 by running or executing the program or module stored in the memory 31, and calling the data stored in the memory 31. For example, when the at least one processor 32 executes the computer program stored in the memory 31, it implements all or part of the steps of the lithium battery intelligent management and control method described in the embodiment of the present application; or implements all or part of the functions of the lithium battery intelligent management and control device. The at least one processor 32 can be composed of an integrated circuit, for example, it can be composed of a single packaged integrated circuit, or it can be composed of multiple integrated circuits with the same function or different functions, including one or more central processing units (CPU), microprocessors, digital processing chips, graphics processors, and various control chips.

[0070] In some embodiments, the at least one communication bus 33 is configured to realize the connection and communication between the memory 31 and the at least one processor 32, etc. Although not shown, the electronic device 3 may also include a power supply (such as a battery) for powering each component. Preferably, the power supply may be logically connected to the at least one processor 32 through a power management device, so as to realize the functions of managing charging, discharging, and power consumption management through the power management device. The power supply may also include any components such as one or more DC or AC power supplies, recharging devices, power failure detection circuits, power converters or inverters, power status indicators, etc. The electronic device 3 may also include a variety of sensors, Bluetooth modules, Wi-Fi modules, etc., which will not be repeated here.

[0071] The above-mentioned integrated unit implemented in the form of a software function module can be stored in a computer-readable storage medium. The above-mentioned software function module is stored in a storage medium, including a number of instructions for enabling an electronic device (which can be a personal computer, electronic device, or network device, etc.) or a processor to execute part of the method described in each embodiment of the present application.

[0072] In the several embodiments provided in this application, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are only illustrative, for example, the division of the modules is only a logical function division, and there may be other division methods in actual implementation.

[0073] The modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical units, and may be located in one place or distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0074] The above are all preferred embodiments of the present application, and the protection scope of the present application is not limited thereto. Therefore, any equivalent changes made according to the structure, shape, and principle of the present application should be included in the protection scope of the present application.

Claims

1. A lithium battery intelligent management and control method, characterized in that: The method comprises: When the target interface detects the connector, determining input and / or output basic electrical power according to a charging and / or discharging protocol; Acquire a power state parameter set of a target power source in real time, and determine an adjustment weight coefficient set according to the power state parameter set; Obtaining a power adjustment coefficient of the target power source according to a preset first adjustment formula, the power state parameter set, and the adjustment weight coefficient set; The input and / or output of the target power supply is adjusted according to the power adjustment coefficient and the input and / or output basic electric power.

2. The lithium battery intelligent management and control method according to claim 1, characterized in that: The acquiring the power adjustment coefficient of the target power source according to the preset first adjustment formula, the power state parameter set and the adjustment weight coefficient set includes: The power regulation coefficient is calculated by the following formula: F=ɑ.g(T)+β.h(SoC)+γ.i(N); Among them, F is the power adjustment coefficient, ɑ is the first weight coefficient, g(T) is the battery temperature adjustment factor, h(SoC) is the power reserve adjustment factor, β is the second weight coefficient, i(N) is the charge and discharge times adjustment factor, and γ is the third weight coefficient.

3. The lithium battery intelligent management and control method according to claim 2, characterized in that: The method further comprises: The battery temperature adjustment factor is calculated by the following formula: Wherein, T is the battery temperature of the target power source acquired in real time, T opt is the optimal operating temperature of the target power supply, T range is the operating temperature range of the target power supply.

4. The lithium battery intelligent management and control method according to claim 2, characterized in that: The method further comprises: The power reserve adjustment factor is calculated by the following formula: Wherein, SoC is the remaining power of the target power source acquired in real time.

5. The lithium battery intelligent management and control method according to claim 2, characterized in that: The method further comprises: The charge and discharge times adjustment factor is calculated by the following formula: Wherein, N is the number of charge and discharge times of the target power source.

6. The lithium battery intelligent management and control method according to claim 1, characterized in that: The step of adjusting the input and / or output of the target power source according to the power adjustment coefficient and the input and / or output basic electric power includes: When the power regulation coefficient is less than 1, dynamically regulating power is calculated according to the power regulation coefficient and the input and / or output basic electric power; adjusting the input and / or output of the target power supply according to the dynamically adjusted power; When the power adjustment coefficient is greater than or equal to 1, the input and / or output of the target power supply is adjusted according to the basic power.

7. The lithium battery intelligent management and control method according to claim 6, characterized in that: The method further comprises: Acquire the real-time power output and / or input of the target power supply in real time; Calculating a power difference according to the dynamically adjusted power and the real-time power, and comparing the power difference with a preset difference threshold; When the power difference is not within the difference threshold, an alarm is issued according to a preset alarm mode.

8. A lithium battery intelligent management and control device, characterized in that: The device comprises: A basic power module, for determining input and / or output basic electrical power according to a charging and / or discharging protocol when the target interface detects the connector; A power detection module, used to obtain a power state parameter set of a target power source in real time, and determine an adjustment weight coefficient set according to the power state parameter set; An adjustment coefficient module, used for obtaining a power adjustment coefficient of the target power source according to a preset first adjustment formula, the power state parameter set and the adjustment weight coefficient set; The power regulation module is used to regulate the input and / or output of the target power supply according to the power regulation coefficient and the input and / or output basic electric power.

9. An electronic device, characterized in that: The electronic device includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the steps of the lithium battery intelligent management and control method according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the lithium battery intelligent management and control method according to any one of claims 1 to 7 are implemented.

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