Battery capacity estimation method, electronic device and storage medium

Abstract

A battery capacity estimation method, an electronic device (100) and a storage medium, the method comprising: detecting a capacity increment curve of a battery at different cycle times (S21); establishing a first capacity estimation model of the actual capacity of the battery according to the relationship between the value of a characteristic point of the capacity increment curve and the cycle times and the actual capacity of the battery at each cycle times (S22); establishing a second capacity estimation model of the actual capacity of the battery according to each cycle times, each charging voltage and each capacity increment value in the capacity increment curve and the actual capacity of the battery at each cycle times (S23); estimating the actual capacity of the battery to be estimated according to the charging current of the battery to be estimated, the charging voltage of the battery to be estimated, the first capacity estimation model, and the second capacity estimation model (S24). The battery capacity estimation method can maintain the accuracy of capacity estimation throughout the entire life cycle of the electronic device (100).

Description

Technical Field

[0001] The present application relates to the field of battery technology, and in particular to a battery capacity estimation method, an electronic device, and a storage medium. Background Art

[0002] At present, lithium-ion batteries have the advantages of high energy density, high power density, many cycles and long storage time. They have broad application prospects in large and medium-sized electric equipment such as electric vehicles and energy storage facilities. Therefore, lithium-ion batteries have become the key to solving global problems such as energy crisis and environmental pollution.

[0003] The existing lithium-ion batteries have a high accuracy in battery capacity estimation during the initial use. However, as the lithium-ion battery cells age, the accuracy of battery capacity estimation decreases, causing electronic devices to shut down directly when the displayed capacity is 20% to 30%. Summary of the invention

[0004] In view of this, it is necessary to provide a battery capacity estimation method, an electronic device, and a storage medium, which can maintain the accuracy of capacity estimation throughout the life cycle of the electronic device.

[0005] An embodiment of the present application provides a battery capacity estimation method, the battery capacity estimation method comprising:

[0006] Detecting the capacity increment curve of the battery under different cycle times, wherein the capacity increment curve includes the cycle times, the charging voltage and the capacity increment value;

[0007] Establishing a first capacity estimation model for the actual capacity of the battery according to the relationship between the value of the characteristic point of the capacity increment curve and the number of cycles and the actual capacity of the battery at each number of cycles; the characteristic point includes at least one characteristic peak and at least one characteristic valley;

[0008] Establishing a second capacity estimation model for the actual capacity of the battery according to the cycle numbers, charging voltages and capacity increment values ​​in the capacity increment curve and the actual capacity of the battery at each cycle number;

[0009] The actual capacity of the battery to be estimated is estimated according to the charging current of the battery to be estimated, the charging voltage of the battery to be estimated, the first capacity estimation model, and the second capacity estimation model.

[0010] According to some embodiments of the present application, establishing a first capacity estimation model for the actual capacity of the battery according to the relationship between the value of the characteristic point of the capacity increment curve and the number of cycles and the actual capacity of the battery at each number of cycles includes:

[0011] According to the relationship between the value of the characteristic point of the capacity increment curve and the cycle number and the actual capacity of the battery at each cycle number, a curve of the value of each characteristic point at each cycle number and the actual capacity of the battery at the cycle number is fitted;

[0012] A first capacity estimation model for the actual capacity of the battery is established according to the values ​​of each characteristic point at each cycle number and a variation curve of the actual capacity of the battery at the cycle number.

[0013] According to some embodiments of the present application, the changing relationship between the value of the characteristic point of the capacity increment curve and the cycle number and the actual capacity of the battery at each cycle number are fitted to the change curve of the value of each characteristic point at each cycle number and the actual capacity of the battery at the cycle number, including:

[0014] According to the relationship between the value of the characteristic point of the capacity increment curve and the cycle number and the actual capacity of the battery at each cycle number, a first variation curve of the charging voltage of each characteristic point at each cycle number and the actual capacity of the battery at the cycle number is fitted;

[0015] The establishing of a first capacity estimation model of the actual capacity of the battery according to the value of each characteristic point at each cycle number and the change curve of the actual capacity of the battery at the cycle number comprises:

[0016] A first capacity estimation model for the actual capacity of the battery is established according to a first variation curve between the charging voltage of each characteristic point at each cycle number and the actual capacity of the battery at the cycle number.

[0017] According to some embodiments of the present application, before establishing a first capacity estimation model of the actual capacity of the battery according to a first change curve between the charging voltage of each characteristic point at each cycle number and the actual capacity of the battery at the cycle number, the method further includes:

[0018] According to the relationship between the value of the characteristic point of the capacity increment curve and the cycle number and the actual capacity of the battery at each cycle number, a second variation curve of the capacity increment value of each characteristic point at each cycle number and the actual capacity of the battery at the cycle number is fitted;

[0019] It is determined that the linear correlation between the charging voltage of each characteristic point of the first change curve at each cycle number and the actual capacity of the battery at the cycle number is stronger than the linear correlation between the capacity increment value of each characteristic point of the second change curve at each cycle number and the actual capacity of the battery at the cycle number.

[0020] According to some embodiments of the present application, establishing a first capacity estimation model for the actual capacity of the battery according to a first change curve between the charging voltage of each characteristic point at each cycle number and the actual capacity of the battery at the cycle number includes:

[0021] Determine the linear correlation between the charging voltage of each characteristic point of the first variation curve at each cycle number and the actual capacity of the battery at the cycle number;

[0022] A first capacity estimation model of the actual capacity of the battery including a first linear model of the charging voltage and the actual capacity is established according to the linear correlation of each feature point.

[0023] According to some embodiments of the present application, the abscissa of the first variation curve is the actual capacity of the battery, and the ordinate is the charging voltage;

[0024] The first capacity estimation model of the actual capacity of the battery, which establishes a first linear model of the charging voltage and the actual capacity according to the linear correlation of each feature point, comprises:

[0025] Determine the value of the intersection point of the linear function with the linear correlation as a variable and the ordinate in the first change curve;

[0026] A first capacity estimation model of the actual capacity of the battery including a first linear model of charging voltage and actual capacity is established according to the linear correlation of each feature point and the value of the intersection point of each feature point.

[0027] According to some embodiments of the present application, the second capacity estimation model for the actual capacity of the battery is established according to each cycle number, each charging voltage and each capacity increment value in the capacity increment curve, and the actual capacity of the battery at each cycle number, including:

[0028] A first correlation curve between the capacity increment value at each cycle number corresponding to the charging voltage and the actual capacity of the battery at each cycle number when fitting different charging voltages according to each cycle number, each charging voltage and each capacity increment value in the capacity increment curve, and the actual capacity of the battery at each cycle number;

[0029] A second capacity estimation model for the actual capacity of the battery is established according to the first correlation curve.

[0030] According to some embodiments of the present application, the first correlation curve of the capacity increment value at each cycle number corresponding to the charging voltage and the actual capacity of the battery at each cycle number when fitting different charging voltages according to each cycle number, each charging voltage and each capacity increment value in the capacity increment curve, and the actual capacity of the battery at each cycle number includes:

[0031] Determine the correlation between the capacity increment value at different cycle numbers corresponding to each charging voltage and the actual capacity at the cycle number according to each cycle number, each charging voltage and each capacity increment value in the capacity increment curve, and the actual capacity of the battery at each cycle number;

[0032] According to the correlation between the capacity increment value at different cycle numbers corresponding to each charging voltage and the actual capacity at the cycle number, a first correlation curve between the capacity increment value at each cycle number corresponding to the charging voltage and the actual capacity of the battery at each cycle number is fitted.

[0033] According to some embodiments of the present application, establishing a second capacity estimation model for the actual capacity of the battery according to the first correlation curve includes:

[0034] Determining a first preset number of first correlations in the first correlation curve that are greater than a preset value;

[0035] A second capacity estimation model for the actual capacity of the battery is established according to the first correlation.

[0036] According to some embodiments of the present application, establishing a second capacity estimation model for the actual capacity of the battery according to the first correlation includes:

[0037] Determine the capacity increment value at at least two cycle times corresponding to the charging voltage corresponding to each first correlation in the first correlation curve in the capacity increment curve and the actual capacity of the battery at the cycle times;

[0038] A second capacity estimation model for the actual capacity of the battery including a first linear model of the capacity increment value and the actual capacity is established according to the capacity increment values ​​at at least two cycle numbers corresponding to the charging voltage corresponding to each first correlation in the capacity increment curve and the actual capacity of the battery at the cycle numbers.

[0039] According to some embodiments of the present application, the second capacity estimation model for the actual capacity of the battery is established according to each cycle number, each charging voltage and each capacity increment value in the capacity increment curve, and the actual capacity of the battery at each cycle number, including:

[0040] A second correlation curve between the charging voltage at each cycle number corresponding to the capacity increment value and the actual capacity of the battery at each cycle number when fitting different capacity increment values ​​according to each cycle number, each charging voltage and each capacity increment value in the capacity increment curve, and the actual capacity of the battery at each cycle number;

[0041] A second capacity estimation model for the actual capacity of the battery is established according to the second correlation curve.

[0042] According to some embodiments of the present application, the second correlation curve between the charging voltage at each cycle number corresponding to the capacity increment value and the actual capacity of the battery at each cycle number when fitting different capacity increment values ​​according to each cycle number, each charging voltage and each capacity increment value in the capacity increment curve, and the actual capacity of the battery at each cycle number includes:

[0043] Determine the correlation between the charging voltage at different cycle numbers corresponding to each capacity increment value and the actual capacity at the cycle number according to each cycle number, each charging voltage and each capacity increment value in the capacity increment curve, and the actual capacity of the battery at each cycle number;

[0044] According to the correlation between the charging voltage at different cycle numbers corresponding to each capacity increment value and the actual capacity at the cycle number, a second correlation curve between the charging voltage at each cycle number corresponding to the capacity increment value and the actual capacity of the battery at each cycle number is fitted when different capacity increment values ​​are used.

[0045] According to some embodiments of the present application, establishing a second capacity estimation model for the actual capacity of the battery according to the second correlation curve includes:

[0046] Determining a second preset number of second correlations greater than a preset value in the second correlation curve;

[0047] A second capacity estimation model for the actual capacity of the battery is established according to the second correlation.

[0048] According to some embodiments of the present application, establishing a second capacity estimation model for the actual capacity of the battery according to the second correlation includes:

[0049] Determine the charging voltage at at least two cycle times corresponding to the capacity increment value corresponding to each second correlation in the second correlation curve and the actual capacity of the battery at the cycle times;

[0050] A second capacity estimation model for the actual capacity of the battery including a second linear model of the charging voltage and the actual capacity is established according to the charging voltage at the at least two cycle numbers of each second correlation and the actual capacity of the battery at the cycle numbers.

[0051] According to some embodiments of the present application, estimating the actual capacity of the battery to be estimated according to the charging current of the battery to be estimated, the charging voltage of the battery to be estimated, the first capacity estimation model, and the second capacity estimation model includes:

[0052] generating a current capacity increment curve of the battery to be estimated according to the charging current of the battery to be estimated and the charging voltage of the battery to be estimated;

[0053] The actual capacity of the battery to be estimated is estimated according to the current capacity increment curve of the battery to be estimated, the first capacity estimation model, and the second capacity estimation model.

[0054] According to some embodiments of the present application, estimating the actual capacity of the battery to be estimated according to the current capacity increment curve of the battery to be estimated, the first capacity estimation model, and the second capacity estimation model includes:

[0055] According to Q i =a i V i +b i , and Q p =s p V p +t p at least one of which estimates an actual capacity of the battery to be estimated;

[0056] Among them, i is the i-th feature point, Q i is the actual capacity calculated by the i-th feature point, a i is the linear correlation of the i-th feature point, V i is the charging voltage corresponding to the i-th characteristic point in the current capacity increment curve of the battery to be estimated, b i is the value of the intersection point of the i-th feature point; j is the j-th first correlation, Q j is the actual capacity calculated by the jth first correlation, k j is the slope of the first linear model between the capacity increment value and the actual capacity at the jth first correlation, is the capacity increment value corresponding to the charging voltage corresponding to the jth first correlation in the current capacity increment curve of the battery to be estimated, h j is the intercept of the first linear model between the capacity increment value and the actual capacity under the jth first correlation; p is the pth second correlation, Q p is the actual capacity calculated by the pth second correlation, s p is the slope of the second linear model of the charging voltage and the actual capacity at the pth second correlation, V p is the charging voltage corresponding to the capacity increment value corresponding to the pth second correlation in the current capacity increment curve of the battery to be estimated, t p is the intercept of the second linear model of the charging voltage and the actual capacity at the pth second correlation.

[0057] According to some embodiments of the present application, the i =a i V i +b i , and Q p =s p V p +t p At least one of estimating the actual capacity of the battery to be estimated comprises:

[0058] according to Estimate the actual capacity of the battery to be estimated; where ∑β i +∑λ j +∑ω p =1;β i :λ j :ω p =P i :PF j :PP p ; β1:...β i :...β M =P1:....P i :...P M ;λ1:...λ i :... M =PM1:...PF i :...PF M ;ω1:...ω i :...ω M =PP1:...PP i :...PP M ;

[0059] Where: β i is the proportion of the actual capacity calculated by the i-th characteristic point in the actual capacity of the battery to be estimated, λ j is the proportion of the actual capacity calculated by the jth first correlation in the actual capacity of the battery to be estimated, ω p is the proportion of the actual capacity calculated by the pth second correlation in the actual capacity of the battery to be estimated, P i is the linear correlation of the i-th feature point, PF j is the jth first correlation, PP p is the pth second correlation, β1 is the proportion of the actual capacity calculated by the first feature point in the actual capacity of the battery to be estimated, and β M The proportion of the actual capacity calculated by the Mth feature point in the actual capacity of the battery to be estimated, P1 is the linear correlation of the first feature point, P M is the linear correlation of the Mth feature point, λ1 is the proportion of the actual capacity calculated by the first correlation in the actual capacity of the battery to be estimated, and λ Mis the proportion of the actual capacity calculated by the Mth first correlation in the actual capacity of the battery to be estimated, PF1 is the first first correlation, PF M is the Mth first correlation, ω1 is the proportion of the actual capacity calculated by the first second correlation in the actual capacity of the battery to be estimated, ω M is the proportion of the actual capacity calculated by the Mth second correlation in the actual capacity of the battery to be estimated, PP1 is the first second correlation, PP M is the Mth second correlation.

[0060] An embodiment of the present application provides an electronic device, comprising: a battery; a processor; and a memory, wherein the memory stores a plurality of program modules, and the plurality of program modules are loaded by the processor and execute the battery capacity estimation method as described in any one of the above.

[0061] An embodiment of the present application provides a storage medium on which at least one computer instruction is stored, and the instruction is loaded by a processor to execute any of the battery capacity estimation methods described above.

[0062] The battery capacity estimation method, electronic device, and storage medium provided in the embodiments of the present application can establish a first capacity estimation model based on the relationship between the characteristic peaks and characteristic valleys of the capacity increment curve under different cycle numbers and the cycle number and the actual capacity of the battery under each cycle number, establish a second capacity estimation model based on the cycle number, each charging voltage and each capacity increment value of the capacity increment curve under different cycle numbers, and estimate the actual capacity of the battery to be estimated based on the first capacity estimation model and the second capacity estimation model, so as to maintain the accuracy of capacity estimation throughout the life cycle of the electronic device. BRIEF DESCRIPTION OF THE DRAWINGS

[0063] Figure 1 is a schematic diagram of an electronic device according to an embodiment of the present application.

[0064] Figure 2 This is a flow chart of a battery capacity estimation method according to an embodiment of the present application.

[0065] Figure 3 This is the capacity increment curve of the battery at different cycle times.

[0066] Figure 4 This is the capacity increment curve of the filtered battery at different cycle times.

[0067] Figure 5 for Figure 2A flow chart of establishing a first capacity estimation model for the actual capacity of the battery according to the relationship between the value of the characteristic point of the capacity increment curve and the number of cycles and the actual capacity of the battery at each number of cycles.

[0068] Figure 6 It is a variation curve of the charging voltage of each characteristic point of different batteries at each cycle number and the actual capacity of the battery at the cycle number.

[0069] Figure 7 It is a variation curve of the capacity increment value of each characteristic point of different batteries at each cycle number and the actual capacity of the battery at the cycle number.

[0070] Figure 8 for Figure 2 A flow chart of establishing a second capacity estimation model for the actual capacity of the battery according to each cycle number, each charging voltage and each capacity increment value in the capacity increment curve, and the actual capacity of the battery at each cycle number.

[0071] Fig. 9 It is a correlation curve between the capacity increment value at each cycle number corresponding to the charging voltage and the actual capacity of the battery at each cycle number when different batteries have different charging voltages.

[0072] Fig.10 The curves are the correlation between the charging voltage at each cycle number corresponding to the capacity increment value and the actual capacity of the battery at each cycle number when the capacity increment values ​​are different for different batteries.

[0073] Main component symbols

[0074] Electronic device 100

[0075] Memory 11

[0076] Processor 12

[0077] Battery 13

[0078] Analog to digital converter 14

[0079] Sensor 15 DETAILED DESCRIPTION

[0080] The technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all of the embodiments.

[0081] Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0082] See also Figure 1 , Figure 1 The electronic device 100 includes, but is not limited to, a memory 11, at least one processor 12, a battery 13, an analog-to-digital converter 14, and a sensor 15, and the above components can be connected via a bus or directly.

[0083] It should be noted that Figure 1 The electronic device 100 is merely an example. In other embodiments, the electronic device 100 may include more or fewer components, or have a different component configuration. The electronic device 100 may be an electric motorcycle, an electric bicycle, an electric car, a mobile phone, a tablet computer, a digital assistant, a personal computer, or any other suitable rechargeable device.

[0084] In one embodiment, the battery 13 is a rechargeable battery for providing electrical energy to the electronic device 100. For example, the battery 13 can be a lead-acid battery, a nickel-cadmium battery, a nickel-metal hydride battery, a lithium-ion battery, a lithium polymer battery, and a lithium iron phosphate battery. The battery 13 is logically connected to the processor 12 through a battery management system (BMS), so that functions such as charging and discharging are realized through the battery management system. The battery management system can be connected to the energy storage inverter (PCS) via CAN or RS485. The battery 13 includes a battery cell, and the battery can be repeatedly charged in a recyclable and rechargeable manner.

[0085] In this embodiment, the analog-to-digital converter 14 is used to measure the voltage and current of the battery cell of the battery 13 during charging, discharging, or standing still. In this embodiment, the analog-to-digital converter 14 includes a digital filter. The digital filter is used to filter the voltage and current of the battery cell of the battery 13 during charging, discharging, or standing still. In one embodiment, the digital filter can be a first-order low-pass filter. The sensor 15 is used to measure the temperature of the battery cell of the battery 13 during charging, discharging, or standing still. In one embodiment, the sensor 15 can be a negative temperature coefficient (NTC) thermistor. It can be understood that the electronic device 100 can also include other devices, such as a pressure sensor, a light sensor, a gyroscope, a hygrometer, an infrared sensor, etc.

[0086] See also Figure 2 , Figure 2 This is a flow chart of a battery capacity estimation method according to an embodiment of the present application. The battery capacity estimation method is applied to a battery. The battery capacity estimation method comprises the following steps:

[0087] S21: Detecting a capacity increment curve of the battery at different cycle times, wherein the capacity increment curve includes the cycle times, the charging voltage and the capacity increment value.

[0088] In this embodiment, each cycle number is a complete charge and discharge cycle of the battery. The capacity increment curve of the battery under different cycle numbers can be obtained by acquiring the capacity increment curve of the battery under different cycle numbers. Preferably, the capacity increment curve of the battery under different cycle numbers is the capacity increment curve of the battery under different cycle numbers when the battery is charged with constant current. The capacity increment curve of the battery under different cycle numbers can also be fitted to fit the capacity increment curve of the battery under different cycle numbers. The fitting capacity increment curve of the battery under different cycle numbers includes:

[0089] a1: Obtain the charging voltage and charging current of the battery at different cycle times.

[0090] In this embodiment, the obtaining of the charging voltage and the charging current of the battery at different cycle times may be obtaining the charging voltage and the charging current of the battery at different cycle times through the analog-to-digital converter. The charging voltage and the charging current are the charging voltage and the charging current of the battery in the constant current charging stage.

[0091] a2: Calculate the charging capacity of the battery according to the charging current.

[0092] In this embodiment, calculating the charging capacity of the battery according to the charging current includes calculating the charging capacity of the battery by a Coulomb integration method.

[0093] a3: Calculate the capacity increment value according to the charging voltage and the charging capacity corresponding to the charging voltage.

[0094] In this embodiment, the capacity increment value is calculated according to the charging voltage and the charging capacity corresponding to the charging voltage by performing differentiation processing on the charging voltage and the charging capacity corresponding to the charging voltage to calculate the capacity increment value.

[0095] a4: Draw a capacity increment curve of the battery at different cycle times according to the charging voltage and the capacity increment value.

[0096] In this embodiment, the capacity increment curve of the battery at different cycle times in the same coordinate system is plotted according to the charging voltage and the capacity increment value. Figure 3 As shown, the abscissa of the capacity increment curve of the battery under different cycle times is the charging voltage, and the ordinate of the capacity increment curve of the battery under different cycle times is the capacity increment value. Figure 3In the embodiment, different capacity increment curves represent different cycle times. For example, the curve of the first gray value represents the 21st cycle time, and the curve of the second gray value represents the 81st cycle time.

[0097] In this embodiment, the detecting of the capacity increment curve of the battery at different cycle numbers includes: detecting different capacity increment curves of different batteries at different cycle numbers. The detecting of the capacity increment curve of the battery at different cycle numbers may also include: detecting the capacity increment curve of the battery at different temperatures and different cycle numbers. Wherein, the temperature may be measured by the sensor. The obtaining of the charging voltage and charging current of the battery at different cycle numbers includes: obtaining the charging voltage and charging current of the battery at different temperatures and different cycle numbers. The drawing of the capacity increment curve of the battery at different cycle numbers according to the charging voltage and the capacity increment value includes: drawing the capacity increment curve of the battery at different temperatures and different cycle numbers according to the temperature, the charging voltage and the capacity increment value.

[0098] S22: establishing a first capacity estimation model for the actual capacity of the battery according to the relationship between the value of the characteristic point of the capacity increment curve and the number of cycles and the actual capacity of the battery at each number of cycles; the characteristic point includes at least one characteristic peak and at least one characteristic valley.

[0099] In this embodiment, before establishing a first capacity estimation model of the actual capacity of the battery based on the relationship between the value of the characteristic point of the capacity increment curve and the number of cycles and the actual capacity of the battery at each number of cycles, the method further includes: performing sliding filtering and Gaussian filtering on the capacity increment curve of the battery at different numbers of cycles. Figure 4 As shown, Figure 4 The capacity increment curve of the battery at different cycle times after sliding filtering and Gaussian filtering.

[0100] In this embodiment, the relationship between the value of the characteristic point of the capacity increment curve and the number of cycles is that the charging voltage of the characteristic point of the capacity increment curve gradually moves to the right with the increase of the number of cycles, that is, the charging voltage of the characteristic point of the capacity increment curve gradually moves to the right with the aging of the battery. In this embodiment, the actual capacity of the battery can be the actual capacity of the battery calculated by other systems in the electronic device, or the actual capacity of the battery calculated by other devices outside the electronic device, or the actual capacity of the battery calculated by any known method used in this method. The actual capacity of the battery changes with the use of the battery. The actual capacity of the battery is different under different numbers of cycles. In this embodiment, the capacity increment curve includes two characteristic peaks and one characteristic valley.

[0101] In this embodiment, if Figure 5As shown, the first capacity estimation model for the actual capacity of the battery is established according to the relationship between the value of the characteristic point of the capacity increment curve and the number of cycles and the actual capacity of the battery at each number of cycles, including:

[0102] b1: According to the relationship between the value of the characteristic point of the capacity increment curve and the cycle number and the actual capacity of the battery at each cycle number, a curve of the value of each characteristic point at each cycle number and the actual capacity of the battery at the cycle number is fitted.

[0103] In this embodiment, the variation curve of the value of each characteristic point at each cycle number and the actual capacity of the battery at each cycle number is fitted according to the variation relationship between the value of the characteristic point of the capacity increment curve and the cycle number and the actual capacity of the battery at each cycle number, including:

[0104] According to the relationship between the value of the characteristic point of the capacity increment curve and the cycle number and the actual capacity of the battery at each cycle number, a first variation curve of the charging voltage of each characteristic point at each cycle number and the actual capacity of the battery at the cycle number is fitted.

[0105] In this embodiment, the first variation curve of fitting the charging voltage of each characteristic point at each cycle number and the actual capacity of the battery at the cycle number according to the variation relationship between the value of the characteristic point of the capacity increment curve and the cycle number and the actual capacity of the battery at each cycle number may include:

[0106] c1: Determine the charging voltage of each characteristic point in the capacity increment curve at each cycle number and the actual capacity of the battery at the cycle number.

[0107] In this embodiment, determining the charging voltage of each characteristic point in the capacity increment curve at each cycle number and the actual capacity of the battery at the cycle number may include, for example: determining that the charging voltage of the first characteristic peak at the 101st cycle number is 4.00 volts, the actual capacity of the battery at the 101st cycle number is 3900 milliampere hours, etc.

[0108] c2: fitting a first variation curve of the charging voltage at each characteristic point at each cycle number and the actual capacity of the battery at the cycle number according to the charging voltage at each characteristic point at each cycle number and the actual capacity of the battery at the cycle number.

[0109] The first variation curve of fitting the charging voltage of each characteristic point at each cycle number and the actual capacity of the battery at the cycle number according to the charging voltage of each characteristic point at each cycle number and the actual capacity of the battery at the cycle number comprises:

[0110] Plotting a first coordinate point formed by the charging voltage of each characteristic point at each cycle number and the actual capacity of the battery at the cycle number in a rectangular coordinate system;

[0111] The first coordinate points are connected in order of the abscissa to fit a first variation curve between the charging voltage of each characteristic point at each cycle number and the actual capacity of the battery at the cycle number.

[0112] In this embodiment, the abscissa of the first change curve is the actual capacity of the battery, and the ordinate of the first change curve is the charging voltage.

[0113] In this embodiment, the first variation curve of the charging voltage of each characteristic point at each cycle number and the actual capacity of the battery at each cycle number is fitted according to the variation relationship between the value of the characteristic point of the capacity increment curve and the cycle number and the actual capacity of the battery at each cycle number, including:

[0114] According to the relationship between the value of the characteristic point of different capacity increment curves of different batteries and the number of cycles and the actual capacity of the battery at each cycle number, different first change curves of the charging voltage of each characteristic point of different batteries at each cycle number and the actual capacity of the battery at the cycle number are fitted.

[0115] For example, in Figure 6 In the figure, the solid line curve is the first change curve of the charging voltage of each characteristic point of battery 1 at each cycle number and the actual battery capacity at the cycle number. The long dash-short dash line curve is the first change curve of the charging voltage of each characteristic point of battery 2 at each cycle number and the actual battery capacity at the cycle number. The dotted line curve is the first change curve of the charging voltage of each characteristic point of battery 3 at each cycle number and the actual battery capacity at the cycle number. The double-dash line curve is the first change curve of the charging voltage of each characteristic point of battery 4 at each cycle number and the actual battery capacity at the cycle number.

[0116] b2: establishing a first capacity estimation model for the actual capacity of the battery according to the values ​​of each characteristic point at each cycle number and a variation curve of the actual capacity of the battery at the cycle number.

[0117] In this embodiment, establishing a first capacity estimation model of the actual capacity of the battery according to the value of each characteristic point at each cycle number and the change curve of the actual capacity of the battery at the cycle number includes:

[0118] A first capacity estimation model for the actual capacity of the battery is established according to a first variation curve between the charging voltage of each characteristic point at each cycle number and the actual capacity of the battery at the cycle number.

[0119] In this embodiment, establishing a first capacity estimation model of the actual capacity of the battery according to a first variation curve between the charging voltage of each characteristic point at each cycle number and the actual capacity of the battery at the cycle number includes:

[0120] A first capacity estimation model for the actual capacity of the battery is established according to different first variation curves between the charging voltage of each characteristic point of the different batteries at each cycle number and the actual capacity of the battery at the cycle number.

[0121] Please continue to refer to Figure 5 In this embodiment, before establishing a first capacity estimation model of the actual capacity of the battery according to a first change curve between the charging voltage of each characteristic point at each cycle number and the actual capacity of the battery at the cycle number, the battery capacity estimation method further includes:

[0122] d1: fitting a second variation curve of the capacity increment value of each characteristic point at each cycle number and the actual capacity of the battery at the cycle number according to the variation relationship between the value of the characteristic point of the capacity increment curve and the cycle number and the actual capacity of the battery at each cycle number.

[0123] In this embodiment, the second variation curve of the capacity increment value of each characteristic point at each cycle number and the actual capacity of the battery at the cycle number is fitted according to the variation relationship between the value of the characteristic point of the capacity increment curve and the cycle number and the actual capacity of the battery at each cycle number, including:

[0124] e1: Determine the capacity increment value of each characteristic point in the capacity increment curve at each cycle number and the actual capacity of the battery at the cycle number.

[0125] In this embodiment, determining the capacity increment value of each characteristic point in the capacity increment curve at each cycle number and the actual capacity of the battery at the cycle number may include, for example: determining that the capacity increment value of the first characteristic peak at the 101st cycle number is 5600 milliampere-hours per volt, the actual capacity of the battery at the 101st cycle number is 3900 milliampere-hours, etc.

[0126] e2: fitting a second variation curve of the capacity increment value of each characteristic point at each cycle number and the actual capacity of the battery at the cycle number according to the capacity increment value of each characteristic point at each cycle number and the actual capacity of the battery at the cycle number.

[0127] The second variation curve of fitting the capacity increment value of each characteristic point at each cycle number and the actual capacity of the battery at the cycle number according to the capacity increment value of each characteristic point at each cycle number and the actual capacity of the battery at the cycle number comprises:

[0128] Draw a second coordinate point formed by the capacity increment value of each characteristic point at each cycle number and the actual capacity of the battery at the cycle number in a rectangular coordinate system;

[0129] The second coordinate points are connected in order of the abscissa to fit a second variation curve between the capacity increment value of each characteristic point at each cycle number and the actual capacity of the battery at the cycle number.

[0130] In this embodiment, the abscissa of the second change curve is the actual capacity of the battery, and the ordinate of the second change curve is the capacity increment value.

[0131] In this embodiment, the second variation curve of the capacity increment value of each characteristic point at each cycle number and the actual capacity of the battery at the cycle number is fitted according to the variation relationship between the value of the characteristic point of the capacity increment curve and the cycle number and the actual capacity of the battery at each cycle number, including:

[0132] According to the relationship between the value of the characteristic point of different capacity increment curves of different batteries and the number of cycles and the actual capacity of the battery at each cycle number, different second change curves of the capacity increment value of each characteristic point of different batteries at each cycle number and the actual capacity of the battery at the cycle number are fitted.

[0133] For example, in Figure 7 In the figure, the solid line curve is the second variation curve of the capacity increment value of each characteristic point of the battery 1 at each cycle number and the actual capacity of the battery at the cycle number. The long dash-short dash line curve is the second variation curve of the capacity increment value of each characteristic point of the battery 2 at each cycle number and the actual capacity of the battery at the cycle number. The dotted line curve is the second variation curve of the capacity increment value of each characteristic point of the battery 3 at each cycle number and the actual capacity of the battery at the cycle number. The double-dash line curve is the second variation curve of the capacity increment value of each characteristic point of the battery 4 at each cycle number and the actual capacity of the battery at the cycle number.

[0134] d2: Determine that the linear correlation between the charging voltage at each characteristic point of the first change curve at each cycle number and the actual battery capacity at the cycle number is stronger than the linear correlation between the capacity increment value at each characteristic point of the second change curve at each cycle number and the actual battery capacity at the cycle number.

[0135] In this embodiment, determining that the linear correlation between the charging voltage at each characteristic point of the first change curve at each cycle number and the actual capacity of the battery at the cycle number is stronger than the linear correlation between the capacity increment value at each characteristic point of the second change curve at each cycle number and the actual capacity of the battery at the cycle number includes:

[0136] f1: determining a first scatter plot formed by the charging voltage of each characteristic point of the first variation curve at each cycle number and the actual capacity of the battery at the cycle number.

[0137] In the first scatter plot, the scatter points formed by the charging voltage and the actual capacity of the battery are roughly arranged on a straight line.

[0138] f2: Determine a second scatter plot formed by the capacity increment value of each characteristic point of the second variation curve at each cycle number and the actual capacity of the battery at the cycle number.

[0139] In the second scatter diagram, some scatter points formed by the capacity increment value and the actual capacity of the battery deviate far from other scatter points.

[0140] f3: According to the first scatter plot and the second scatter plot, it is determined that the linear correlation between the charging voltage of each characteristic point of the first change curve at each cycle number and the actual capacity of the battery at the cycle number is stronger than the linear correlation between the capacity increment value of each characteristic point of the second change curve at each cycle number and the actual capacity of the battery at the cycle number.

[0141] In this embodiment, the first capacity estimation model of the actual capacity of the battery includes a first linear model of the charging voltage and the actual capacity.

[0142] In this embodiment, establishing a first capacity estimation model of the actual capacity of the battery according to a first variation curve between the charging voltage of each characteristic point at each cycle number and the actual capacity of the battery at the cycle number includes:

[0143] g1: Determine the linear correlation between the charging voltage of each characteristic point of the first variation curve at each cycle number and the actual capacity of the battery at the cycle number.

[0144] In this embodiment, according to the formula To determine the linear correlation between the charging voltage of each characteristic point of the first variation curve at each cycle number and the actual capacity of the battery at the cycle number. k is the linear correlation between the charging voltage of the kth feature point at each cycle number and the actual capacity of the battery at the cycle number, m is the mth of the total number of charging voltages or actual capacities of the battery at the kth feature point at each cycle number, n is the total number of charging voltages or actual capacities of the battery at the kth feature point at each cycle number, X m is the charging voltage of the kth characteristic point at the mth cycle number, is the average value of the charging voltage of the kth characteristic point under all cycle times, Y m is the actual capacity of the battery at the kth characteristic point at the mth cycle number, is the average value of the actual capacity of the battery at the kth characteristic point under all cycle numbers.

[0145] In this embodiment, determining the linear correlation between the charging voltage at each characteristic point of the first variation curve at each cycle number and the actual capacity of the battery at the cycle number includes:

[0146] Determine the linear correlation between the charging voltage of each characteristic point of the first change curve at each cycle number and the actual capacity of the battery at the cycle number as the average value of the linear correlation between the charging voltage of each characteristic point of the first change curve of the different batteries at each cycle number and the actual capacity of the battery at the cycle number.

[0147] g2: establishing a first capacity estimation model of the actual capacity of the battery including a first linear model of charging voltage and actual capacity according to the linear correlation of each feature point.

[0148] In this embodiment, the first capacity estimation model of the actual capacity of the battery, which includes a first linear model of the charging voltage and the actual capacity, is established according to the linear correlation of each feature point, including:

[0149] h1: determine the value of the intersection point of the linear function with the linear correlation as a variable and the ordinate in the first change curve.

[0150] In this embodiment, the value of the intersection point of the linear function with the linear correlation as a variable in the first change curve and the ordinate is the value of the intersection point of the linear function with the linear correlation as a variable in the first change curve and the charging voltage.

[0151] h2: establishing a first capacity estimation model of the actual capacity of the battery including a first linear model of charging voltage and actual capacity according to the linear correlation of each feature point and the value of the intersection point of each feature point.

[0152] In this embodiment, the first linear model of the charging voltage and the actual capacity is:

[0153] Q i =a i V i +b i ;

[0154] Among them, i is the i-th feature point, Q i is the actual capacity calculated by the i-th feature point, a i is the linear correlation of the i-th feature point, V i is the charging voltage corresponding to the i-th characteristic point, b i is the value of the intersection point of the i-th feature point.

[0155] In this embodiment, the battery capacity estimation method further includes: storing a first capacity estimation model of the actual battery capacity. That is, the battery capacity estimation method further includes: storing a first linear model of the charging voltage and the actual capacity.

[0156] In this embodiment, the first capacity estimation model of the actual capacity of the battery is established according to the relationship between the value of the characteristic point of the capacity increment curve and the number of cycles and the actual capacity of the battery at each number of cycles, including:

[0157] A first capacity estimation model for the actual capacity of the battery at different temperatures is established according to the relationship between the value of the characteristic point of the capacity increment curve and the number of cycles and the actual capacity of the battery at each number of cycles.

[0158] S23: establishing a second capacity estimation model for the actual capacity of the battery according to the cycle numbers, charging voltages and capacity increment values ​​in the capacity increment curve, and the actual capacity of the battery at each cycle number.

[0159] Please also refer to Figure 8 , establishing a second capacity estimation model for the actual capacity of the battery according to the cycle numbers, charging voltages and capacity increment values ​​in the capacity increment curve, and the actual capacity of the battery at each cycle number, includes:

[0160] I1: A first correlation curve between the capacity increment value at each cycle number corresponding to the charging voltage and the actual capacity of the battery at each cycle number when fitting different charging voltages according to each cycle number, each charging voltage and each capacity increment value in the capacity increment curve, and the actual capacity of the battery at each cycle number.

[0161] In this embodiment, the first correlation curve of the capacity increment value at each cycle number corresponding to the charging voltage and the actual capacity of the battery at each cycle number when fitting different charging voltages according to each cycle number, each charging voltage and each capacity increment value in the capacity increment curve, and the actual capacity of the battery at each cycle number includes:

[0162] J1: Determine the correlation between the capacity increment value at different cycle numbers corresponding to each charging voltage and the actual capacity at the cycle number according to each cycle number, each charging voltage and each capacity increment value in the capacity increment curve, and the actual capacity of the battery at each cycle number.

[0163] In this embodiment, according to the formula To determine the correlation between the capacity increment value at different cycle times corresponding to each charging voltage and the actual capacity at the cycle times. lis the correlation between the capacity increment value at different cycle times corresponding to the lth charging voltage and the actual capacity at the cycle times, s is the sth time in the total number of the cycle times, I is the total number of the cycle times, V s is the capacity increment value at the sth cycle number corresponding to the lth charging voltage, Q is the average value of the capacity increment under all cycles corresponding to the lth charging voltage, s is the actual capacity of the battery at the sth cycle corresponding to the lth charging voltage, It is the average value of the actual capacity of the battery under all cycle numbers corresponding to the lth charging voltage.

[0164] Determining the correlation between the capacity increment value at different cycle numbers corresponding to each charging voltage and the actual capacity at the cycle number may include, for example: determining that the correlation between the capacity increment value at each cycle number corresponding to a charging voltage of 3.9000 volts and the actual capacity at the cycle number is 0.87, etc.

[0165] In this embodiment, the correlation between the capacity increment value at different cycle numbers corresponding to each charging voltage and the actual capacity at the cycle number is determined according to each cycle number, each charging voltage and each capacity increment value in the capacity increment curve, and the actual capacity of the battery at each cycle number, including:

[0166] According to the cycle numbers, charging voltages and capacity increment values ​​in different capacity increment curves of different batteries, and the actual capacity of the battery at each cycle number, the correlation between the capacity increment values ​​at different cycle numbers corresponding to each charging voltage of different batteries and the actual capacity at the cycle number is determined.

[0167] J2: Fitting a first correlation curve between the capacity increment value at each cycle number corresponding to the charging voltage and the actual capacity of the battery at each cycle number at different charging voltages according to the correlation between the capacity increment value at different cycle numbers corresponding to each charging voltage and the actual capacity at the cycle number.

[0168] In this embodiment, according to the correlation between the capacity increment value at different cycle numbers corresponding to each charging voltage and the actual capacity at the cycle number, a first correlation curve between the capacity increment value at each cycle number corresponding to the charging voltage and the actual capacity of the battery at each cycle number when fitting different charging voltages includes:

[0169] A third coordinate point formed by plotting the capacity increment value at different cycle times corresponding to the charging voltage and the correlation between the actual capacity at the cycle times in a rectangular coordinate system;

[0170] The third coordinate points are connected in order of the abscissa to fit a first correlation curve between the capacity increment value at each cycle number corresponding to the charging voltage and the actual capacity of the battery at each cycle number when the charging voltage is different.

[0171] In this embodiment, the abscissa of the first correlation curve is the charging voltage, and the ordinate of the first correlation curve is the correlation.

[0172] In this embodiment, the first correlation curve between the capacity increment value at each cycle number corresponding to the charging voltage and the actual capacity of the battery at each cycle number when fitting different charging voltages according to the correlation between the capacity increment value at different cycle numbers corresponding to each charging voltage and the actual capacity at the cycle number includes:

[0173] According to the correlation between the capacity increment values ​​at different cycle numbers corresponding to each charging voltage of different batteries and the actual capacity at the cycle number, a first correlation curve between the capacity increment values ​​at each cycle number corresponding to the charging voltage when different batteries have different charging voltages and the actual capacity of the battery at each cycle number is fitted.

[0174] For example, in Fig. 9 In the figure, the solid line curve is the first correlation curve between the capacity increment value at each number of cycles corresponding to the charging voltage at different charging voltages of the battery 1 and the actual capacity of the battery at each number of cycles. The long dash-short dash line curve is the first correlation curve between the capacity increment value at each number of cycles corresponding to the charging voltage at different charging voltages of the battery 2 and the actual capacity of the battery at each number of cycles. The dotted line curve is the first correlation curve between the capacity increment value at each number of cycles corresponding to the charging voltage at different charging voltages of the battery 3 and the actual capacity of the battery at each number of cycles. The double dot-dash line curve is the first correlation curve between the capacity increment value at each number of cycles corresponding to the charging voltage at different charging voltages of the battery 4 and the actual capacity of the battery at each number of cycles.

[0175] I2: Establishing a second capacity estimation model for the actual capacity of the battery according to the first correlation curve.

[0176] In this embodiment, establishing a second capacity estimation model for the actual capacity of the battery according to the first correlation curve includes:

[0177] k1: Determine a first preset number of first correlations in the first correlation curve that are greater than a preset value.

[0178] Preferably, the preset value may be 0.9, or other values, depending on specific needs. Preferably, the first preset number may be 5, or other values, depending on specific needs.

[0179] k2: establishing a second capacity estimation model for the actual capacity of the battery according to the first correlation.

[0180] In this embodiment, the second capacity estimation model of the actual capacity of the battery includes a third capacity estimation model. The third capacity estimation model includes a first linear model of the capacity increment value and the actual capacity.

[0181] In this embodiment, establishing a second capacity estimation model for the actual capacity of the battery according to the first correlation includes:

[0182] l1: Determine the capacity increment value at at least two cycle times corresponding to the charging voltage corresponding to each first correlation in the first correlation curve in the capacity increment curve and the actual capacity of the battery at the cycle times.

[0183] For example, the charging voltage 4.1V corresponding to the first correlation 0.96 in the first correlation curve, the capacity increment value at the 101st cycle corresponding to the capacity increment curve and the actual capacity of the battery at the said cycle number are 7600 milliampere-hours per volt and 3860 milliamperes respectively, and the capacity increment value at the 361st cycle corresponding to the capacity increment curve and the actual capacity of the battery at the said cycle number are 6200 milliampere-hours per volt and 3520 milliamperes respectively.

[0184] l2: Establishing a second capacity estimation model for the actual capacity of the battery including a first linear model of the capacity increment value and the actual capacity according to the capacity increment values ​​at at least two cycle times corresponding to the charging voltages corresponding to the first correlations in the capacity increment curve and the actual capacity of the battery at the cycle times.

[0185] In this embodiment, the second capacity estimation model of the actual capacity of the battery including a first linear model of the capacity increment value and the actual capacity is established according to the capacity increment value at at least two cycle times corresponding to the charging voltage corresponding to each first correlation and the actual capacity of the battery at the cycle times, including:

[0186] m1: Determine the slope and intercept of the first linear model of the capacity increment value and the actual capacity at each first correlation based on the capacity increment value at the at least two cycle numbers at each first correlation and the actual capacity of the battery at the cycle number, and the first linear model of the capacity increment value and the actual capacity.

[0187] m2: establishing a second capacity estimation model of the actual capacity of the battery including the first linear model of the capacity increment value and the actual capacity according to the slope and intercept of the first linear model of the capacity increment value and the actual capacity at each first correlation.

[0188] In this embodiment, the first linear model of the capacity increment value and the actual capacity is:

[0189]

[0190] Among them, j is the jth first correlation, Q j is the actual capacity calculated by the jth first correlation, k j is the slope of the first linear model between the capacity increment value and the actual capacity at the j-th first correlation, is the capacity increment value corresponding to the charging voltage corresponding to the first correlation curve of the capacity increment value at each cycle number corresponding to the charging voltage at different charging voltages and the actual capacity of the battery at each cycle number, h j It is the intercept of the first linear model between the capacity increment value and the actual capacity at the j-th first correlation.

[0191] In this embodiment, the battery capacity estimation method further includes: storing a first linear model of the capacity increment value and the actual capacity.

[0192] In this embodiment, the battery capacity estimation method further includes: storing the charging voltage corresponding to each first correlation degree.

[0193] In this embodiment, establishing a second capacity estimation model for the actual capacity of the battery according to the first correlation curve includes:

[0194] A second capacity estimation model for the actual capacity of the battery is established according to the first correlation curves of different batteries.

[0195] In this embodiment, determining a first preset number of first correlations in the first correlation curve that are greater than a preset value includes:

[0196] A first predetermined number of first correlations in first correlation curves of different batteries that are all greater than a predetermined value are determined.

[0197] In this embodiment, please continue to refer to Figure 8 The second capacity estimation model for establishing the actual capacity of the battery according to each cycle number, each charging voltage and each capacity increment value in the capacity increment curve and the actual capacity of the battery at each cycle number includes:

[0198] n1: A second correlation curve between the charging voltage at each cycle number corresponding to the capacity increment value and the actual capacity of the battery at each cycle number when fitting different capacity increment values ​​according to each cycle number, each charging voltage and each capacity increment value in the capacity increment curve, and the actual capacity of the battery at each cycle number.

[0199] In this embodiment, the second correlation curve between the charging voltage at each cycle number corresponding to the capacity increment value and the actual capacity of the battery at each cycle number when fitting different capacity increment values ​​according to each cycle number, each charging voltage and each capacity increment value in the capacity increment curve, and the actual capacity of the battery at each cycle number comprises:

[0200] o1: Determine the correlation between the charging voltage at different cycle numbers corresponding to each capacity increment value and the actual capacity at the cycle number according to each cycle number, each charging voltage and each capacity increment value in the capacity increment curve, and the actual capacity of the battery at each cycle number.

[0201] In this embodiment, according to the formula To determine the correlation between the charging voltage at different cycle times corresponding to each capacity increment value and the actual capacity at the cycle times. o is the correlation between the charging voltage at different cycle numbers corresponding to the oth capacity increment value and the actual capacity at the cycle number, g is the gth cycle in the total number of the cycle numbers, w is the total number of the cycle numbers, is the charging voltage at the gth cycle corresponding to the oth capacity increment value, is the average value of the charging voltage under all cycle numbers corresponding to the oth capacity increment value, Q g is the actual capacity of the battery at the gth cycle number corresponding to the oth capacity increment value, It is the average value of the actual capacity of the battery under all cycle numbers corresponding to the oth capacity increment value.

[0202] Determining the correlation between the charging voltage at different cycle numbers corresponding to each capacity increment value and the actual capacity at the cycle number may include, for example, determining that the correlation between the charging voltage at each cycle number corresponding to the capacity increment value of 4500 milliampere-hours per volt and the actual capacity at the cycle number is 0.94, etc.

[0203] In this embodiment, the correlation between the charging voltage at different cycle numbers corresponding to each capacity increment value and the actual capacity at the cycle number is determined according to each cycle number, each charging voltage and each capacity increment value in the capacity increment curve, and the actual capacity of the battery at each cycle number, including:

[0204] According to the cycle numbers, charging voltages and capacity increment values ​​in different capacity increment curves of different batteries, and the actual capacity of the battery at each cycle number, the correlation between the charging voltage at different cycle numbers corresponding to each capacity increment value of different batteries and the actual capacity at the cycle number is determined.

[0205] o2: A second correlation curve between the charging voltage at different cycle numbers corresponding to each capacity increment value and the actual capacity at the cycle number is fitted according to the correlation between the charging voltage at different cycle numbers corresponding to each capacity increment value and the actual capacity at the cycle number.

[0206] In this embodiment, the second correlation curve between the charging voltage at different cycle numbers corresponding to each capacity increment value and the actual capacity at the cycle number when fitting different capacity increment values ​​includes:

[0207] A fourth coordinate point formed by plotting the correlation between the charging voltage at different cycle times corresponding to the capacity increment value and the actual capacity at the cycle times in a rectangular coordinate system;

[0208] When the fourth coordinate points are connected in order of the abscissa to fit different capacity increment values, a second correlation curve between the charging voltage at each cycle number corresponding to the capacity increment value and the actual capacity of the battery at each cycle number is obtained.

[0209] In this embodiment, the abscissa of the second correlation curve is the capacity increment value, and the ordinate of the second correlation curve is the correlation.

[0210] In this embodiment, when fitting different capacity increment values ​​according to the correlation between the charging voltage at different cycle numbers corresponding to each capacity increment value and the actual capacity at the cycle number, the second correlation curve between the charging voltage at each cycle number corresponding to the capacity increment value and the actual capacity at the cycle number includes:

[0211] According to the correlation between the charging voltage at different cycle numbers corresponding to each capacity increment value of different batteries and the actual capacity at the cycle number, a second correlation curve between the charging voltage at each cycle number corresponding to the capacity increment value and the actual capacity of the battery at each cycle number is fitted when different capacity increment values ​​of different batteries are different.

[0212] For example, in Fig.10In the figure, the solid line curve is the second correlation curve between the charging voltage at each number of cycles corresponding to the capacity increment value and the actual capacity of the battery at each number of cycles when the capacity increment value is different for the battery 1. The long dash-short dash line curve is the second correlation curve between the charging voltage at each number of cycles corresponding to the capacity increment value and the actual capacity of the battery at each number of cycles when the capacity increment value is different for the battery 2. The dotted line curve is the second correlation curve between the charging voltage at each number of cycles corresponding to the capacity increment value and the actual capacity of the battery at each number of cycles when the capacity increment value is different for the battery 3. The double-dash line curve is the second correlation curve between the charging voltage at each number of cycles corresponding to the capacity increment value and the actual capacity of the battery at each number of cycles when the capacity increment value is different for the battery 4.

[0213] n2: Establishing a second capacity estimation model for the actual capacity of the battery according to the second correlation curve.

[0214] In this embodiment, establishing a second capacity estimation model for the actual capacity of the battery according to the second correlation curve includes:

[0215] p1: Determine a second preset number of second correlations in the second correlation curve that are greater than a preset value.

[0216] Preferably, the preset value may be 0.9, or other values, depending on specific needs. Preferably, the second preset number may be 6, or other values, depending on specific needs.

[0217] p2: establishing a second capacity estimation model for the actual capacity of the battery according to the second correlation.

[0218] In this embodiment, the second capacity estimation model of the actual capacity of the battery includes a fourth capacity estimation model, and the fourth capacity estimation model includes a second linear model of the charging voltage and the actual capacity.

[0219] In this embodiment, establishing a second capacity estimation model for the actual capacity of the battery according to the second correlation includes:

[0220] q1: Determine the charging voltage at at least two cycle times corresponding to the capacity increment value corresponding to each second correlation in the second correlation curve and the actual capacity of the battery at the cycle times.

[0221] For example, the capacity increment value of 6900 milliampere-hours per volt corresponding to the second correlation 0.96 in the second correlation curve, the charging voltage at the 121st cycle corresponding to the capacity increment curve and the actual battery capacity at the said cycle number are 4.0800 volts and 3620 milliamperes respectively, and the charging voltage at the 441st cycle corresponding to the capacity increment curve and the actual battery capacity at the said cycle number are 4.1600 volts and 3460 milliamperes respectively.

[0222] q2: establishing a second capacity estimation model for the actual capacity of the battery including a second linear model of the charging voltage and the actual capacity according to the charging voltage at the at least two cycle numbers of each second correlation and the actual capacity of the battery at the cycle numbers.

[0223] In this embodiment, establishing a second capacity estimation model of the actual capacity of the battery including a second linear model of the charging voltage and the actual capacity according to the charging voltage at the at least two cycle numbers of each second correlation and the actual capacity of the battery at the cycle number includes:

[0224] r1: Determine the slope and intercept of the second linear model of the charging voltage and the actual capacity at each second correlation based on the charging voltage at the at least two cycle numbers at each second correlation and the actual capacity of the battery at the cycle number, and the second linear model of the charging voltage and the actual capacity.

[0225] r2: establishing a second capacity estimation model of the actual capacity of the battery including the second linear model of the charging voltage and the actual capacity according to the slope and intercept of the second linear model of the charging voltage and the actual capacity at each second correlation.

[0226] In this embodiment, the second linear model of the charging voltage and the actual capacity is:

[0227] Q p =s p V p +t p ;

[0228] Among them, p is the pth second correlation, Q p is the actual capacity calculated by the pth second correlation, s p is the slope of the second linear model of the charging voltage and the actual capacity at the pth second correlation, V p is the charging voltage corresponding to the capacity increment value at each cycle number corresponding to the capacity increment value at the different capacity increment values ​​in the pth second correlation curve and the charging voltage corresponding to the capacity increment value at each cycle number in the second correlation curve of the actual capacity of the battery, t pis the intercept of the second linear model of the charging voltage and the actual capacity at the pth second correlation.

[0229] In this embodiment, the battery capacity estimation method further includes: storing a second linear model of the charging voltage and the actual capacity.

[0230] In this embodiment, the battery capacity estimation method further includes: storing the capacity increment value corresponding to each second correlation degree.

[0231] In this embodiment, establishing a second capacity estimation model for the actual capacity of the battery according to the second correlation curve includes:

[0232] A second capacity estimation model for the actual capacity of the battery is established according to the second correlation curves of different batteries.

[0233] In this embodiment, determining a second preset number of second correlations in the second correlation curve that are greater than a preset value includes:

[0234] A second predetermined number of second correlations in the second correlation curves of different batteries that are all greater than a predetermined value are determined.

[0235] In this embodiment, the second capacity estimation model for the actual capacity of the battery is established according to the cycle numbers, charging voltages, capacity increment values, and the actual capacity of the battery at each cycle number in the capacity increment curve, including:

[0236] A second capacity estimation model for the actual capacity of the battery at different temperatures is established according to each cycle number, each charging voltage and each capacity increment value in the capacity increment curve, and the actual capacity of the battery at each cycle number.

[0237] S24: estimating the actual capacity of the battery to be estimated according to the charging current of the battery to be estimated, the charging voltage of the battery to be estimated, the first capacity estimation model, and the second capacity estimation model.

[0238] In this embodiment, estimating the actual capacity of the battery to be estimated according to the charging current of the battery to be estimated, the charging voltage of the battery to be estimated, the first capacity estimation model, and the second capacity estimation model includes:

[0239] s1: generating a current capacity increment curve of the battery to be estimated according to the charging current of the battery to be estimated and the charging voltage of the battery to be estimated.

[0240] In this embodiment, before generating the current capacity increment curve of the battery to be estimated according to the charging current of the battery to be estimated and the charging voltage of the battery to be estimated, the battery capacity estimation method further includes:

[0241] The charging current of the battery to be estimated and the charging voltage of the battery to be estimated are obtained during the constant current charging stage.

[0242] In this embodiment, generating the current capacity increment curve of the battery to be estimated according to the charging current of the battery to be estimated and the charging voltage of the battery to be estimated includes:

[0243] t1: calculating the charging capacity of the battery to be estimated according to the charging current of the battery to be estimated.

[0244] t2: calculating the capacity increment value of the battery to be estimated according to the charging voltage of the battery to be estimated and the charged capacity of the battery to be estimated corresponding to the charging voltage of the battery to be estimated.

[0245] t3: drawing a current capacity increment curve of the battery to be estimated according to the charging voltage of the battery to be estimated and the capacity increment value of the battery to be estimated.

[0246] s2: Estimate the actual capacity of the battery to be estimated according to the current capacity increment curve of the battery to be estimated, the first capacity estimation model, and the second capacity estimation model.

[0247] In this embodiment, before estimating the actual capacity of the battery to be estimated according to the current capacity increment curve of the battery to be estimated, the first capacity estimation model, and the second capacity estimation model, the battery capacity estimation method further includes:

[0248] Sliding filtering and Gaussian filtering are performed on the current capacity increment curve of the battery to be estimated.

[0249] In this embodiment, before estimating the actual capacity of the battery to be estimated according to the current capacity increment curve of the battery to be estimated, the first capacity estimation model, and the second capacity estimation model, the battery capacity estimation method further includes:

[0250] Determine that the number of points belonging to characteristic parameters in the current capacity increment curve of the battery to be estimated is greater than or equal to a third preset number, and the characteristic parameters include the characteristic points, the charging voltage corresponding to the first correlation, and the capacity increment value corresponding to the second correlation.

[0251] In this embodiment, the charging voltage corresponding to the first correlation is the charging voltage corresponding to the stored first correlation, and the capacity increment value corresponding to the second correlation is the capacity increment value corresponding to the stored second correlation.

[0252] In this embodiment, estimating the actual capacity of the battery to be estimated according to the current capacity increment curve of the battery to be estimated, the first capacity estimation model, and the second capacity estimation model includes:

[0253] According to Q i =a i V i +b i , and Q p =s p V p +t p at least one of which estimates an actual capacity of the battery to be estimated;

[0254] Among them, i is the i-th feature point, Q i is the actual capacity calculated by the i-th feature point, a i is the linear correlation of the i-th feature point, V i is the charging voltage corresponding to the i-th characteristic point in the current capacity increment curve of the battery to be estimated, b i is the value of the intersection point of the i-th feature point; j is the j-th first correlation, Q j is the actual capacity calculated by the jth first correlation, k j is the slope of the first linear model between the capacity increment value and the actual capacity at the jth first correlation, is the capacity increment value corresponding to the charging voltage corresponding to the jth first correlation in the current capacity increment curve of the battery to be estimated, h j is the intercept of the first linear model between the capacity increment value and the actual capacity under the jth first correlation; p is the pth second correlation, Q p is the actual capacity calculated by the pth second correlation, s p is the slope of the second linear model of the charging voltage and the actual capacity at the pth second correlation, V p is the charging voltage corresponding to the capacity increment value corresponding to the pth second correlation in the current capacity increment curve of the battery to be estimated, t p is the intercept of the second linear model of the charging voltage and the actual capacity at the pth second correlation.

[0255] In this embodiment, the Q i =a i V i +b i , and Q p =s p V p +t p is the first capacity estimation model stored and the second capacity estimation model stored. Then, the a i , b i , k j 、h j 、sp , and t p is pre-stored in the battery to be estimated.

[0256] In this embodiment, the Q i =a i V i +b i , and Q p =s p V p +t p At least one of estimating the actual capacity of the battery to be estimated comprises:

[0257] according to Estimate the actual capacity of the battery to be estimated; where ∑β i +∑λ j +∑ω p =1;β i :λ j :ω p =P i :PF j :PP p ; β1:...β i :...β M =P1:.... i :... M ;λ1:...λ i :... M =PF1:...PF i :...PF M ;ω1:...ω i :...ω M =PP1:...PP i :...PP M ;

[0258] Where: β i is the proportion of the actual capacity calculated by the i-th characteristic point in the actual capacity of the battery to be estimated, λ j is the proportion of the actual capacity calculated by the jth first correlation in the actual capacity of the battery to be estimated, ω p is the proportion of the actual capacity calculated by the pth second correlation in the actual capacity of the battery to be estimated, P i is the linear correlation of the i-th feature point, PF j is the jth first correlation, PP p is the pth second correlation, β1 is the proportion of the actual capacity calculated by the first feature point in the actual capacity of the battery to be estimated, and β MThe proportion of the actual capacity calculated by the Mth feature point in the actual capacity of the battery to be estimated, P1 is the linear correlation of the first feature point, P M is the linear correlation of the Mth feature point, λ1 is the proportion of the actual capacity calculated by the first correlation in the actual capacity of the battery to be estimated, and λ M is the proportion of the actual capacity calculated by the Mth first correlation in the actual capacity of the battery to be estimated, PF1 is the first first correlation, PF M is the Mth first correlation, ω1 is the proportion of the actual capacity calculated by the first second correlation in the actual capacity of the battery to be estimated, ω M is the proportion of the actual capacity calculated by the Mth second correlation in the actual capacity of the battery to be estimated, PP1 is the first second correlation, PP M is the Mth second correlation.

[0259] In this embodiment, estimating the actual capacity of the battery to be estimated according to the charging current of the battery to be estimated, the charging voltage of the battery to be estimated, the first capacity estimation model, and the second capacity estimation model includes:

[0260] The actual capacity of the battery to be estimated is estimated according to the charging current of the battery to be estimated, the charging voltage of the battery to be estimated, the temperature of the battery to be estimated, the first capacity estimation model at different temperatures, and the second capacity estimation model at different temperatures.

[0261] In this embodiment, estimating the actual capacity of the battery to be estimated according to the charging current of the battery to be estimated, the charging voltage of the battery to be estimated, the temperature of the battery to be estimated, the first capacity estimation model at different temperatures, and the second capacity estimation model at different temperatures includes:

[0262] u1: Determine a first capacity estimation model at a temperature matching the temperature of the battery to be estimated and a second capacity estimation model at a temperature in the first capacity estimation model at different temperatures and the second capacity estimation model at different temperatures.

[0263] u2: Estimate the actual capacity of the battery to be estimated according to the charging current of the battery to be estimated, the charging voltage of the battery to be estimated, the first capacity estimation model at the temperature, and the second capacity estimation model at the temperature.

[0264] Please continue reading Figure 1 In this embodiment, the memory 11 may be an internal memory of the electronic device, that is, a memory built into the electronic device. In other embodiments, the memory 11 may also be an external memory of the electronic device, that is, a memory externally connected to the electronic device.

[0265] In some embodiments, the memory 11 is used to store program codes and various data, and to achieve high-speed and automatic access to programs or data during the operation of the electronic device.

[0266] The memory 11 may include a random access memory and may also include a non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card (Flash Card), at least one disk storage device, a flash memory device, or other volatile solid-state storage devices.

[0267] In one embodiment, the processor 12 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 other conventional processor, etc.

[0268] If the program code and various data in the memory 11 are implemented in the form of a software functional unit and sold or used as an independent product, they 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, such as implementing the steps in the battery pressure difference update method or the power estimation 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, etc. The computer-readable medium may include: any entity or device that can carry the computer program code, recording medium, U disk, mobile hard disk, disk, optical disk, computer memory, read-only memory (ROM, Read-Only Memory), etc.

[0269] It is understandable that the module division described above is a logical function division, and there may be other division methods in actual implementation. In addition, the functional modules in each embodiment of the present application may be integrated in the same processing unit, or each module may exist physically separately, or two or more modules may be integrated in the same unit. The above-mentioned integrated modules may be implemented in the form of hardware or in the form of hardware plus software functional modules.

[0270] It is obvious to those skilled in the art that the present application is not limited to the details of the above exemplary embodiments, and that the present application can be implemented in other specific forms without departing from the spirit or basic features of the present application. Therefore, no matter from which point of view, the above embodiments of the present application should be regarded as exemplary and non-restrictive, and the scope of the present application is defined by the attached claims rather than the above description, and therefore it is intended that all changes falling within the meaning and scope of the equivalent elements of the claims are included in the present application.

[0271] It is obvious to those skilled in the art that the present application is not limited to the details of the above exemplary embodiments, and that the present application can be implemented in other specific forms without departing from the spirit or basic features of the present application. Therefore, no matter from which point of view, the above embodiments of the present application should be regarded as exemplary and non-restrictive, and the scope of the present application is defined by the attached claims rather than the above description, and therefore it is intended that all changes falling within the meaning and scope of the equivalent elements of the claims are included in the present application.

Claims

1. A battery capacity estimation method, characterized in that: The battery capacity estimation method comprises: Detecting the capacity increment curve of the battery under different cycle times, wherein the capacity increment curve includes the cycle number, the charging voltage and the capacity increment value; Establishing a first capacity estimation model for the actual capacity of the battery according to the relationship between the value of the characteristic point of the capacity increment curve and the number of cycles and the actual capacity of the battery at each number of cycles, including fitting a first change curve between the charging voltage of each characteristic point at each number of cycles and the actual capacity of the battery at the number of cycles according to the relationship between the value of the characteristic point of the capacity increment curve and the number of cycles and the actual capacity of the battery at each number of cycles; and establishing the first capacity estimation model for the actual capacity of the battery according to the first change curve between the charging voltage of each characteristic point at each number of cycles and the actual capacity of the battery at the number of cycles; wherein the characteristic point includes at least one characteristic peak and at least one characteristic valley; Establishing a second capacity estimation model for the actual capacity of the battery according to each cycle number, each charging voltage and each capacity increment value in the capacity increment curve, and the actual capacity of the battery at each cycle number, including fitting a first correlation curve between the capacity increment value at each cycle number corresponding to the charging voltage and the actual capacity of the battery at each cycle number when different charging voltages are fitted according to each cycle number, each charging voltage and each capacity increment value in the capacity increment curve, and the actual capacity of the battery at each cycle number; and establishing the second capacity estimation model for the actual capacity of the battery according to the first correlation curve; The actual capacity of the battery to be estimated is estimated according to the charging current of the battery to be estimated, the charging voltage of the battery to be estimated, the first capacity estimation model and the second capacity estimation model.

2. The battery capacity estimation method according to claim 1, characterized in that: Before establishing a first capacity estimation model of the actual capacity of the battery according to a first variation curve between the charging voltage of each characteristic point at each cycle number and the actual capacity of the battery at the cycle number, the method further includes: According to the relationship between the value of the characteristic point of the capacity increment curve and the cycle number and the actual capacity of the battery at each cycle number, a second variation curve of the capacity increment value of each characteristic point at each cycle number and the actual capacity of the battery at the cycle number is fitted; It is determined that the linear correlation between the charging voltage of each characteristic point of the first change curve at each cycle number and the actual capacity of the battery at the cycle number is stronger than the linear correlation between the capacity increment value of each characteristic point of the second change curve at each cycle number and the actual capacity of the battery at the cycle number.

3. The battery capacity estimation method according to claim 2, characterized in that: The establishing of a first capacity estimation model of the actual capacity of the battery according to a first variation curve between the charging voltage of each characteristic point at each cycle number and the actual capacity of the battery at the cycle number comprises: Determine the linear correlation between the charging voltage of each characteristic point of the first variation curve at each cycle number and the actual capacity of the battery at the cycle number; A first capacity estimation model of the actual capacity of the battery including a first linear model of the charging voltage and the actual capacity is established according to the linear correlation of each feature point.

4. The battery capacity estimation method according to claim 3, wherein: The abscissa of the first variation curve is the actual capacity of the battery, and the ordinate is the charging voltage; The first capacity estimation model of the actual capacity of the battery, which establishes a first linear model of the charging voltage and the actual capacity according to the linear correlation of each feature point, comprises: Determine the value of the intersection point of the linear function with the linear correlation as a variable and the ordinate in the first change curve; A first capacity estimation model of the actual capacity of the battery including a first linear model of charging voltage and actual capacity is established according to the linear correlation of each feature point and the value of the intersection point of each feature point.

5. The battery capacity estimation method according to claim 1, characterized in that: The first correlation curve between the capacity increment value at each cycle number corresponding to the charging voltage and the actual capacity of the battery at each cycle number when fitting different charging voltages according to each cycle number, each charging voltage and each capacity increment value in the capacity increment curve, and the actual capacity of the battery at each cycle number comprises: Determine the correlation between the capacity increment value at different cycle numbers corresponding to each charging voltage and the actual capacity at the cycle number according to each cycle number, each charging voltage and each capacity increment value in the capacity increment curve, and the actual capacity of the battery at each cycle number; According to the correlation between the capacity increment value at different cycle numbers corresponding to each charging voltage and the actual capacity at the cycle number, a first correlation curve between the capacity increment value at each cycle number corresponding to the charging voltage and the actual capacity of the battery at each cycle number is fitted.

6. The battery capacity estimation method according to claim 1, characterized in that: The establishing of a second capacity estimation model for the actual capacity of the battery according to the first correlation curve comprises: Determining a first preset number of first correlations in the first correlation curve that are greater than a preset value; A second capacity estimation model for the actual capacity of the battery is established according to the first correlation.

7. The battery capacity estimation method according to claim 6, characterized in that: The establishing of a second capacity estimation model for the actual capacity of the battery according to the first correlation comprises: Determine the capacity increment value at at least two cycle times corresponding to the charging voltage corresponding to each first correlation in the first correlation curve in the capacity increment curve and the actual capacity of the battery at the cycle times; A second capacity estimation model for the actual capacity of the battery including a first linear model of the capacity increment value and the actual capacity is established according to the capacity increment values ​​at at least two cycle numbers corresponding to the charging voltage corresponding to each first correlation in the capacity increment curve and the actual capacity of the battery at the cycle numbers.

8. The battery capacity estimation method according to claim 1, wherein: The second capacity estimation model for the actual capacity of the battery is established according to the cycle numbers, charging voltages, capacity increment values, and the actual capacity of the battery at each cycle number in the capacity increment curve, including: A second correlation curve between the charging voltage at each cycle number corresponding to the capacity increment value and the actual capacity of the battery at each cycle number when fitting different capacity increment values ​​according to each cycle number, each charging voltage and each capacity increment value in the capacity increment curve, and the actual capacity of the battery at each cycle number; A second capacity estimation model for the actual capacity of the battery is established according to the second correlation curve.

9. The battery capacity estimation method according to claim 8, characterized in that: The second correlation curve between the charging voltage at each cycle number corresponding to the capacity increment value and the actual capacity of the battery at each cycle number when fitting different capacity increment values ​​according to each cycle number, each charging voltage and each capacity increment value in the capacity increment curve, and the actual capacity of the battery at each cycle number comprises: Determine the correlation between the charging voltage at different cycle numbers corresponding to each capacity increment value and the actual capacity at the cycle number according to each cycle number, each charging voltage and each capacity increment value in the capacity increment curve, and the actual capacity of the battery at each cycle number; According to the correlation between the charging voltage at different cycle numbers corresponding to each capacity increment value and the actual capacity at the cycle number, a second correlation curve between the charging voltage at each cycle number corresponding to the capacity increment value and the actual capacity of the battery at each cycle number is fitted when different capacity increment values ​​are used.

10. The battery capacity estimation method according to claim 8, characterized in that: The establishing of a second capacity estimation model for the actual capacity of the battery according to the second correlation curve comprises: Determining a second preset number of second correlations greater than a preset value in the second correlation curve; A second capacity estimation model for the actual capacity of the battery is established according to the second correlation.

11. The battery capacity estimation method according to claim 10, characterized in that: Establishing a second capacity estimation model for the actual capacity of the battery according to the second correlation comprises: Determine the charging voltage at at least two cycle times corresponding to the capacity increment value corresponding to each second correlation in the second correlation curve and the actual capacity of the battery at the cycle times; A second capacity estimation model for the actual capacity of the battery including a second linear model of the charging voltage and the actual capacity is established according to the charging voltage at the at least two cycle numbers of each second correlation and the actual capacity of the battery at the cycle numbers.

12. The battery capacity estimation method according to claim 1, characterized in that: The estimating the actual capacity of the battery to be estimated according to the charging current of the battery to be estimated, the charging voltage of the battery to be estimated, the first capacity estimation model and the second capacity estimation model comprises: generating a current capacity increment curve of the battery to be estimated according to the charging current of the battery to be estimated and the charging voltage of the battery to be estimated; The actual capacity of the battery to be estimated is estimated according to the current capacity increment curve of the battery to be estimated, the first capacity estimation model and the second capacity estimation model.

13. The battery capacity estimation method according to claim 12, characterized in that: The estimating the actual capacity of the battery to be estimated according to the current capacity increment curve of the battery to be estimated, the first capacity estimation model and the second capacity estimation model comprises: according to and at least one of which estimates an actual capacity of the battery to be estimated; in, is the i-th feature point, is the actual capacity calculated by the i-th feature point, is the linear correlation of the i-th feature point, is the charging voltage corresponding to the i-th characteristic point in the current capacity increment curve of the battery to be estimated, is the value of the intersection point of the i-th feature point; is the jth first correlation, is the actual capacity calculated by the jth first correlation, is the slope of the first linear model between the capacity increment value and the actual capacity at the jth first correlation, is the capacity increment value corresponding to the charging voltage corresponding to the jth first correlation in the current capacity increment curve of the battery to be estimated, is the intercept of the first linear model between the capacity increment value and the actual capacity at the jth first correlation; is the pth second correlation, is the actual capacity calculated by the p-th second correlation, is the slope of the second linear model of the charging voltage and the actual capacity at the pth second correlation, is the charging voltage corresponding to the capacity increment value corresponding to the pth second correlation in the current capacity increment curve of the battery to be estimated, is the intercept of the second linear model of the charging voltage and the actual capacity at the pth second correlation.

14. The battery capacity estimation method according to claim 13, characterized in that: The basis and At least one of estimating the actual capacity of the battery to be estimated comprises: according to estimating the actual capacity of the battery to be estimated; wherein in: is the proportion of the actual capacity calculated by the i-th characteristic point in the actual capacity of the battery to be estimated, is the proportion of the actual capacity calculated by the jth first correlation in the actual capacity of the battery to be estimated, is the proportion of the actual capacity calculated by the pth second correlation in the actual capacity of the battery to be estimated, is the linear correlation of the i-th feature point, is the jth first correlation, is the pth second correlation, is the proportion of the actual capacity calculated by the first characteristic point in the actual capacity of the battery to be estimated, is the proportion of the actual capacity calculated by the Mth characteristic point in the actual capacity of the battery to be estimated, is the linear correlation of the first feature point, is the linear correlation of the Mth feature point, is the proportion of the actual capacity calculated by the first first correlation in the actual capacity of the battery to be estimated, is the proportion of the actual capacity calculated by the Mth first correlation in the actual capacity of the battery to be estimated, is the first correlation, is the Mth first correlation, is the proportion of the actual capacity calculated by the first second correlation in the actual capacity of the battery to be estimated, is the proportion of the actual capacity calculated by the Mth second correlation in the actual capacity of the battery to be estimated, is the first second correlation, is the Mth second correlation.

15. An electronic device, characterized in that: The electronic device comprises: Battery; Processor; and A memory, wherein a plurality of program modules are stored in the memory, and the plurality of program modules are loaded by the processor and execute the battery capacity estimation method as described in any one of claims 1 to 14.

16. A storage medium having at least one computer instruction stored thereon, characterized in that: The instructions are loaded by the processor to execute the battery capacity estimation method as described in any one of claims 1-14.

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