Online prediction method and terminal device for battery power status

Abstract

The present invention is applicable to the field of battery technology, and provides an online prediction method and terminal device for battery power status, the method comprising: obtaining the operating parameters of the current target battery; determining the DC impedance of the target battery according to the operating parameters of the current target battery; determining the first polarization voltage of the target battery according to the operating parameters of the current target battery; determining the power status of the target battery according to the first polarization voltage and the DC impedance. Since the DC impedance does not change in a short time, the present invention determines the power status of the target battery by using the DC impedance and taking into account the influence of the polarization voltage, the calculation process is simple, and the calculation result is accurate.

Description

Technical Field

[0001] The present invention belongs to the technical field of batteries, and in particular relates to an online prediction method for battery power status and a terminal device. Background Art

[0002] The power performance of a battery is an important indicator of the battery. Accurately predicting the battery capacity and correctly estimating the battery power can fully develop the battery's capabilities while ensuring that the battery is not overcharged or overdischarged.

[0003] In the prior art, the RC battery model is usually used to calculate the SOP (State of Power) of the battery. However, since the parameters of the RC battery model are all quantities related to the current, and the current is constantly changing, each parameter needs to be re-determined every short period of time, the amount of calculation is very large, and the calculation result is not accurate enough. Summary of the invention

[0004] In view of this, an embodiment of the present invention provides an online prediction method and terminal device for a battery power state, so as to solve the problem that the SOP of a battery is calculated by an RC model in the prior art, the amount of calculation is large, and the result is inaccurate.

[0005] A first aspect of an embodiment of the present invention provides an online prediction method for a battery power state, comprising:

[0006] Get the operating parameters of the current target battery;

[0007] Determine the DC impedance of the target battery according to the current operating parameters of the target battery;

[0008] Determining a first polarization voltage of the target battery according to a current operating parameter of the target battery;

[0009] The power state of the target battery is determined according to the first polarization voltage and the DC impedance.

[0010] The second aspect of an embodiment of the present invention provides a terminal device, including 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 online prediction method of the battery power status provided in the first aspect of the embodiment of the present invention are implemented.

[0011] The embodiment of the present invention provides an online prediction method and terminal device for the power state of a battery, the method comprising: obtaining the operating parameters of the current target battery; determining the DC impedance of the target battery according to the operating parameters of the current target battery; determining the first polarization voltage of the target battery according to the operating parameters of the current target battery; determining the power state of the target battery according to the first polarization voltage and the DC impedance. The present invention uses a DC impedance that does not change in a short period of time to determine the power state of the target battery, without repeated iterations, and the calculation process is simple. At the same time, the embodiment of the present invention also comprehensively considers the impact of polarization on the power state of the target battery, and combines the DC impedance and the first polarization voltage to comprehensively obtain the power state of the target battery. The calculation result is accurate and the operation is simple. BRIEF DESCRIPTION OF THE DRAWINGS

[0012] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, 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 invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0013] Figure 1 It is a schematic diagram of an implementation flow of an online prediction method for battery power status provided by an embodiment of the present invention;

[0014] Figure 2 It is the electrical parameter diagram when the voltage reaches the cut-off voltage at the end of the battery constant voltage and constant current discharge;

[0015] Figure 3 It is the electrical parameter diagram when the voltage does not reach the cut-off voltage at the end of the battery constant voltage and constant current discharge;

[0016] Figure 4 is a schematic diagram of an online prediction device for battery power status provided by an embodiment of the present invention;

[0017] Figure 5 It is a schematic diagram of a terminal device provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0018] In the following description, specific details such as specific system structures, technologies, etc. are provided for the purpose of illustration rather than limitation, so as to provide a thorough understanding of the embodiments of the present invention. However, it should be clear to those skilled in the art that the present invention may be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to prevent unnecessary details from obstructing the description of the present invention.

[0019] In order to illustrate the technical solution of the present invention, specific embodiments are provided below for illustration.

[0020] refer to Figure 1 , an embodiment of the present invention provides an online prediction method for battery power status, comprising:

[0021] S101: Acquire the operating parameters of the current target battery;

[0022] S102: Determine the DC impedance of the target battery according to the current operating parameters of the target battery;

[0023] S103: determining a first polarization voltage of the target battery according to the current operating parameters of the target battery;

[0024] S104: Determine the power state of the target battery according to the first polarization voltage and the DC impedance.

[0025] Since the DC impedance of the battery will not change significantly in a short period of time as the battery is charged and discharged, the embodiment of the present invention abandons the traditional RC model and uses DC impedance to determine the power state of the target battery, without repeated iterations, and the calculation process is simple. At the same time, the embodiment of the present invention also comprehensively considers the impact of battery polarization on the power state of the target battery, and combines the DC impedance and the first polarization voltage to comprehensively obtain the power state of the target battery, so that the calculation result is accurate and the operation is simple.

[0026] In some embodiments, S104 may include:

[0027] S1041: Determine a second polarization voltage according to the first polarization voltage;

[0028] S1042: Determine an open circuit voltage of the target battery according to the current operating parameters of the target battery;

[0029] S1043: Determine the power state of the target battery according to the open circuit voltage, the first polarization voltage, the second polarization voltage, and the DC impedance.

[0030] In some embodiments, S1043 may include:

[0031] 1. Calculate the target current according to the first formula.

[0032] 2. Calculate the target voltage according to the second formula.

[0033] 3. Multiply the target current by the target voltage to get the target battery power state.

[0034] The first formula can be:

[0035]

[0036] The second formula is:

[0037] V 2'=OCV-I 2 '*DCR+V p2 (2)

[0038] Among them, V cutoff is the cut-off voltage; OCV is the open circuit voltage; DCR is the DC resistance; V p1 is the first polarization voltage, V p2 is the second polarization voltage; V 2 ' is the target voltage, I 2 ' is the target current, I max is the maximum current limit value.

[0039] refer to Figure 2 , assuming that the battery is discharged at constant voltage and constant current, and the discharge start time is t 1 (corresponding to battery voltage V 1 , battery discharge current I 1 and power P1), the discharge end time is t 2 (corresponding to battery voltage V 2 , battery discharge current I 2 and power P2). As the discharge proceeds, according to the principle of constant voltage and constant current discharge, after the voltage reaches the cut-off voltage, the absolute value of the discharge current may decrease at the end of the curve due to the generation of polarization voltage.

[0040] In the actual test process, the battery is left to stand for a long time before the test, so V 1 =OCV, V 2 =V cutoff , I 1 =0.

[0041] According to Ohm's law, the calculation formula of the DC resistance DCR of the battery can be obtained as follows:

[0042]

[0043] From the above, we can get the ending current I 2 :

[0044]

[0045] According to formula (3) and formula (4), the maximum power P of battery discharge can be obtained: max for:

[0046]

[0047] refer to Figure 3 , if t 2 When the voltage does not reach the cut-off voltage, the current reaches the maximum current limit value I max , then I 2 =I max. Because I 1 = 0, we can get

[0048] P max =I 2 *V 2 =I max *(OCV-I max *DCR) (6)

[0049] Since it is uncertain whether the battery voltage reaches the cut-off voltage at the end of the test during the online measurement process, the above two situations can be combined to obtain:

[0050] P max =I 2 *V 2 =I 2 *(OCV-I 2 *DCR) (7)

[0051] Considering the safety of the battery, I 2 The smaller value of the two cases is taken, and there is no need to determine whether the voltage reaches the cut-off voltage at the end of discharge.

[0052] Considering the influence of polarization voltage, assuming t 1 The polarization voltage of the battery at this moment is V p1 (first polarization voltage), t 2 The polarization voltage of the battery at this moment is V p2 (Second polarization voltage). According to the full response formula of the circuit, we can get:

[0053]

[0054] I 2 Taking the smaller value of the two cases, we can get formula (1) from formula (8):

[0055]

[0056] From formula (3), we can get formula (2)

[0057] V 2 '=V 2 +V p2 =OCV-I 2 '*DCR+V p2 (2)

[0058] The first polarization voltage can be obtained through testing, and the second polarization voltage can be calculated based on the first polarization voltage according to the time interval of the pulse current.

[0059] In some embodiments, S1041 may include: calculating the second polarization voltage according to a third formula.

[0060] The third formula can be:

[0061]

[0062] Where Δt is the preset time interval, τ is the coefficient; V p1 is the first polarization voltage, V p2 is the second polarization voltage.

[0063] Δt=t 2 -t 1 is the preset time interval, that is, the width of the pulse current tested, and τ is a coefficient, which can be obtained by looking up the table according to the current temperature and SOC of the target battery.

[0064] In some embodiments, the operating parameters of the current target battery include: temperature and SOC;

[0065] S1042 may include: obtaining the open circuit voltage of the target battery by looking up a second preset table according to the current temperature and SOC of the target battery.

[0066] In the embodiment of the present invention, the sample battery can be discharged at constant voltage and constant current to test the open circuit voltage at different temperatures and SOCs to form a second preset table. Then, in the actual test process, the second preset table can be directly called to obtain the open circuit voltage of the target battery. The sample battery and the target battery should be from the same batch of batteries, and the parameters should be basically the same.

[0067] In some embodiments, the method may further include:

[0068] S105: Determine the power state of the battery pack according to the impedance of the connector and the target current.

[0069] In some embodiments, S105 may include:

[0070] S1051: Determine the power state of the battery pack according to the fourth formula;

[0071] The fourth formula can be:

[0072] P m =P 0 *N s *N P +I 2 ' 2 *R connect (10)

[0073] Among them, P m is the power state of the battery pack; P 0 is the power state; R connect is the impedance of the connector, I 2' is the target current; N s is the number of cells in the battery string in the battery pack, N P is the number of battery strings connected in parallel in the battery pack.

[0074] The embodiment of the present invention also considers the loss of the connector, and for the power state of the battery pack, the loss of the connector is calculated. The battery pack is formed by connecting multiple cells in series to form a battery string, and then multiple battery strings are connected in parallel to form a battery pack.

[0075] In some embodiments, the current operating parameters of the battery include: temperature and SOC;

[0076] S102 may include:

[0077] S1021: According to the current temperature and SOC of the target battery, obtain the DC impedance of the target battery by looking up a first preset table.

[0078] In some embodiments, the above method may further include:

[0079] S106: Acquire electrical parameters of the sample battery during constant current and constant voltage discharge, and determine a first preset table according to the electrical parameters of the sample battery during constant current and constant voltage discharge.

[0080] In some embodiments, the maximum power table of the sample battery can also be determined according to the electrical parameters of the sample battery during the constant current and constant voltage discharge process for user reference.

[0081] In some embodiments, the open circuit voltage and DC impedance are obtained by table lookup. Considering that inaccurate SOC estimation may lead to overestimation of power, a certain margin, sigma, is reserved when looking up the open circuit voltage and DC impedance.

[0082] While charging:

[0083] DCR=DCR_TABLE(TEMP,SOC+3sigma)

[0084] OCV=OCV_TABLE(TEMP,SOC+3sigma)

[0085] When discharging:

[0086] DCR=DCR_TABLE(TEMP,SOC-3sigma)

[0087] OCV=OCV_TABLE(TEMP,SOC-3sigma)

[0088] Among them, DCR_TABLE() is the first preset table, and OCV_TABLE() is the second preset table.

[0089] It should be understood that the order of execution of the steps in the above embodiment does not necessarily mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiment of the present invention.

[0090] refer to Figure 4 , an embodiment of the present invention provides an online prediction device for battery power status, comprising:

[0091] A parameter acquisition module 21 is used to acquire the operating parameters of the current target battery;

[0092] A first calculation module 22, used to determine the DC impedance of the target battery according to the current operating parameters of the target battery;

[0093] A second calculation module 23, used to determine a first polarization voltage of the target battery according to the current operating parameters of the target battery;

[0094] The first result output module 24 is used to determine the power state of the target battery according to the first polarization voltage and the DC impedance.

[0095] In some embodiments, the fourth calculation module 24 may include:

[0096] A polarization voltage determining unit 241, configured to determine a second polarization voltage according to the first polarization voltage;

[0097] An open circuit voltage determination unit 242, configured to determine the open circuit voltage of the target battery according to the current operating parameters of the target battery;

[0098] The single cell power state calculation unit 243 is used to determine the power state of the target battery according to the open circuit voltage, the first polarization voltage, the second polarization voltage and the DC impedance.

[0099] In some embodiments, the cell power state calculation unit 243 may be specifically used for:

[0100] 1. Calculate the target current according to the first formula.

[0101] 2. Calculate the target voltage according to the second formula.

[0102] 3. Multiply the target current by the target voltage to get the target battery power state.

[0103] The first formula can be:

[0104]

[0105] The second formula can be:

[0106] V 2 '=OCV-I 2'*DCR+V p2 (2)

[0107] Among them, V cutoff is the cut-off voltage; OCV is the open circuit voltage; DCR is the DC resistance; V p1 is the first polarization voltage, V p2 is the second polarization voltage; V 2 ' is the target voltage, I 2 ' is the target current, I max is the maximum current limit value.

[0108] In some embodiments, the polarization voltage determining unit 241 may be specifically configured to calculate the second polarization voltage according to a third formula.

[0109] The third formula can be:

[0110]

[0111] Where Δt is the preset time interval, τ is the coefficient; V p1 is the first polarization voltage, V p2 is the second polarization voltage.

[0112] In some embodiments, the operating parameters of the current target battery include: temperature and SOC;

[0113] The open circuit voltage determination unit 242 may be specifically configured to obtain the open circuit voltage of the target battery by looking up a second preset table according to the current temperature and SOC of the target battery.

[0114] In some embodiments, the above device may further include:

[0115] The second result output module 25 is used to determine the power state of the battery pack according to the impedance of the connection component and the target current.

[0116] In some embodiments, the second result output module 25 may include:

[0117] A battery pack power state determining unit 251, configured to determine the power state of the battery pack according to a fourth formula;

[0118] The fourth formula can be:

[0119] P m =P 0 *N s *N P +I 2 ' 2 *R connect (10)

[0120] Among them, P m is the power state of the battery pack; P0 is the power state; R connect is the impedance of the connector, I 2 ' is the target current; N s is the number of cells in the battery string in the battery pack, N P The number of battery strings connected in parallel in the battery pack.

[0121] In some embodiments, the current operating parameters of the battery include: temperature and SOC; the first calculation module 22 may include:

[0122] The table lookup unit 221 is used to obtain the DC impedance of the target battery by looking up a first preset table according to the current temperature and SOC of the target battery.

[0123] In some embodiments, the above device may further include:

[0124] The test module 26 is used to obtain the electrical parameters of the sample battery during the constant current and constant voltage discharge process, and determine the first preset table according to the electrical parameters of the sample battery during the constant current and constant voltage discharge process.

[0125] The technicians in the relevant field can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional units and modules is used as an example for illustration. In actual applications, the above-mentioned function allocation can be completed by different functional units and modules as needed, that is, the internal structure of the terminal device is divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiment can be integrated into a processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of software functional units. In addition, the specific names of the functional units and modules are only for the convenience of distinguishing each other, and are not used to limit the scope of protection of this application. The specific working process of the units and modules in the above-mentioned device can refer to the corresponding process in the aforementioned method embodiment, which will not be repeated here.

[0126] Figure 5 is a schematic block diagram of a terminal device provided by an embodiment of the present invention. Figure 5 As shown, the terminal device 4 of this embodiment includes: one or more processors 40, a memory 41, and a computer program 42 stored in the memory 41 and executable on the processor 40. When the processor 40 executes the computer program 42, the steps in the above-mentioned online prediction method of each battery power state are implemented, such as Figure 1 Alternatively, when the processor 40 executes the computer program 42, the functions of each module / unit in the above-mentioned embodiment of the online prediction device for battery power state are realized, for example Figure 4The functions of modules 21 to 24 are shown.

[0127] Exemplarily, the computer program 42 may be divided into one or more modules / units, one or more modules / units are stored in the memory 41, and are executed by the processor 40 to complete the present application. One or more modules / units may be a series of computer program instruction segments capable of completing specific functions, and the instruction segments are used to describe the execution process of the computer program 42 in the terminal device 4. For example, the computer program 42 may be divided into a parameter acquisition module 21, a first calculation module 22, a second calculation module 23, and a first result output module 24.

[0128] A parameter acquisition module 21 is used to acquire the operating parameters of the current target battery;

[0129] A first calculation module 22, used to determine the DC impedance of the target battery according to the current operating parameters of the target battery;

[0130] A second calculation module 23, used to determine a first polarization voltage of the target battery according to the current operating parameters of the target battery;

[0131] The first result output module 24 is used to determine the power state of the target battery according to the first polarization voltage and the DC impedance.

[0132] Other modules or units are not described in detail here.

[0133] The terminal device 4 includes but is not limited to a processor 40 and a memory 41. Those skilled in the art will appreciate that Figure 5 It is only an example of a terminal device and does not constitute a limitation on the terminal device 4. It may include more or fewer components than shown in the figure, or a combination of certain components, or different components. For example, the terminal device 4 may also include an input device, an output device, a network access device, a bus, etc.

[0134] The processor 40 may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or the processor may be any conventional processor, etc.

[0135] The memory 41 may be an internal storage unit of the terminal device, such as a hard disk or memory of the terminal device. The memory 41 may also be an external storage device of the terminal device, such as a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, etc. equipped on the terminal device. Further, the memory 41 may also include both an internal storage unit of the terminal device and an external storage device. The memory 41 is used to store the computer program 42 and other programs and data required by the terminal device. The memory 41 may also be used to temporarily store data that has been output or is to be output.

[0136] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described or recorded in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0137] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0138] In the embodiments provided in the present application, it should be understood that the disclosed terminal devices and methods can be implemented in other ways. For example, the terminal device embodiments described above are only schematic, for example, the division of modules or units is only a logical function division, and there may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, devices or units, which can be electrical, mechanical or other forms.

[0139] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0140] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0141] If the integrated module / unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the present application implements all or part of the processes in the above-mentioned embodiment method, and can also be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium, and the computer program can implement the steps of the above-mentioned various method embodiments when executed by the processor. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form. The computer-readable medium may include: any entity or device capable of carrying computer program code, recording medium, U disk, mobile hard disk, disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electric carrier signal, telecommunication signal and software distribution medium. It should be noted that the content contained in the computer-readable medium can be appropriately increased or decreased according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, the computer-readable medium does not include electric carrier signals and telecommunication signals.

[0142] The above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. These modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application, and should all be included in the protection scope of the present application.

Claims

1. An online prediction method for battery power status, It is characterized in that include: Get the operating parameters of the current target battery; Determining the DC impedance of the target battery according to the current operating parameters of the target battery; Determining a first polarization voltage of the target battery according to an operating parameter of the current target battery; Determining a power state of the target battery according to the first polarization voltage and the DC impedance; The determining the power state of the target battery according to the first polarization voltage and the DC impedance includes: determining a second polarization voltage according to the first polarization voltage; Determining an open circuit voltage of the target battery according to the current operating parameters of the target battery; Determining a power state of the target battery according to the open circuit voltage, the first polarization voltage, the second polarization voltage, and the DC impedance; The determining the power state of the target battery according to the open circuit voltage, the first polarization voltage, the second polarization voltage and the DC impedance includes: Calculate the target current according to the first formula; Calculate the target voltage according to the second formula; Multiplying the target current by the target voltage to obtain a power state of the target battery; The first formula is: The second formula is: V 2 '=OCV-I 2 '*DCR+V p2 Among them, V cutoff is the cut-off voltage; OCV is the open circuit voltage; DCR is the DC resistance; V p1 is the first polarization voltage, V p2 is the second polarization voltage; V 2 ' is the target voltage, I 2 ' is the target current, I max is the maximum current limit value.

2. The method for online prediction of battery power status according to claim 1, It is characterized in that The determining the second polarization voltage according to the first polarization voltage comprises: The second polarization voltage is calculated according to the third formula; The third formula is: Where Δt is the preset time interval, τ is the coefficient; V p1 is the first polarization voltage, V p2 is the second polarization voltage.

3. The online prediction method of battery power state according to claim 1, It is characterized in that The operating parameters of the current target battery include: temperature and SOC; and determining the open circuit voltage of the target battery according to the operating parameters of the current target battery includes: According to the current temperature and SOC of the target battery, the open circuit voltage of the target battery is obtained by looking up a second preset table.

4. The method for online prediction of battery power status according to claim 1, It is characterized in that The method further comprises: The power state of the battery pack is determined according to the impedance of the connection component and the target current.

5. The method for online prediction of battery power status according to claim 4, It is characterized in that The determining the power state of the battery pack according to the impedance of the connecting member and the target current includes: Determine the power state of the battery pack according to a fourth formula; The fourth formula is: P m =P 0 *N s *N P +I 2 ' 2 *R connect Among them, P m is the power state of the battery pack; P 0 is the power state; R connect is the impedance of the connector, I 2 ' is the target current; N s is the number of cells in the battery string in the battery pack, N P is the number of battery strings connected in parallel in the battery pack.

6. The method for online prediction of battery power state according to any one of claims 1 to 5, It is characterized in that The current operating parameters of the battery include: temperature and SOC; the DC impedance of the target battery is determined according to the current operating parameters of the target battery, including: According to the current temperature and SOC of the target battery, the DC impedance of the target battery is obtained by looking up a first preset table.

7. The method for online prediction of battery power status according to claim 6, It is characterized in that The method further comprises: The electrical parameters of the sample battery during constant current and constant voltage discharge are obtained, and the first preset table is determined according to the electrical parameters of the sample battery during constant current and constant voltage discharge.

8. A terminal device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, It is characterized in that When the processor executes the computer program, the steps of the online prediction method of the battery power state according to any one of claims 1 to 7 are implemented.

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