CN109655750B - Method and device for predicting battery life - Google Patents
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Abstract
The invention discloses a prediction method and a prediction device for battery life, wherein the prediction method comprises the following steps: acquiring initial internal resistance of a battery and the current cycle number of the battery; under the preset test condition, calculating the internal resistance of the battery in the current cycle; and predicting the total cycle number of the battery according to the initial internal resistance, the current cycle number and the internal resistance of the battery in the current cycle. The prediction method can predict the total cycle number of the battery according to the initial internal resistance of the battery, the current cycle number and the internal resistance of the battery in the current cycle, namely, the prediction of the service life of the battery is realized, so that a user can quickly know the service life condition of the battery, and the method has the advantages of high accuracy and easiness in realization.
Description
Technical Field
The present invention relates to the field of battery technologies, and in particular, to a method and an apparatus for predicting battery life.
Background
With the progress of battery technology, the retention capacity of electric vehicles is increasing year by year, consumers are concerned about the service life of the power battery in the electric vehicle, the service life of the power battery is generally defined as 50% increase of internal resistance, at this time, the battery is considered to be unusable and needs to be maintained and replaced, and at this time, the internal resistance of the battery is also rapidly increased, thereby seriously affecting the performance of the battery. In order to know the service life of the battery more clearly and intuitively, the service life of the battery needs to be predicted.
At present, the service life of a battery is predicted mainly through a physical model and a data model, wherein the physical model is mainly used for predicting the service life of the battery according to current conditions, power conditions, raw material characteristics and the like in the use process of the battery; the data model is used for predicting the residual life of the battery by statistically analyzing the voltage, the temperature and the time of the battery. However, in order to establish an accurate data model, a plurality of factors need to be analyzed and complex operations need to be performed, and whether the actual prediction result obtained through the physical model and the data model is accurate and reliable still needs to be evaluated.
Disclosure of Invention
The present invention is directed to solving, at least to some extent, one of the technical problems in the related art. Therefore, a first objective of the present invention is to provide a method for predicting battery life, which can predict the total cycle number of a battery, that is, implement the prediction of battery life, so that a user can quickly know the life condition of the battery, and the method has the advantages of high accuracy and easy implementation.
A second object of the present invention is to provide a device for predicting battery life.
A third object of the present invention is to provide another battery life prediction apparatus.
In order to achieve the above object, an embodiment of a first aspect of the present invention provides a method for predicting battery life, including the following steps: acquiring the initial internal resistance of the battery and the current cycle number of the battery; under the preset test condition, calculating the internal resistance of the battery in the current cycle; and predicting the total cycle number of the battery according to the initial internal resistance, the current cycle number and the internal resistance of the battery in the current cycle.
According to the method for predicting the service life of the battery, the initial internal resistance and the current cycle number of the battery are firstly obtained, then the internal resistance of the battery in the current cycle is calculated under the preset test condition, and finally the total cycle number of the battery is predicted according to the initial internal resistance, the current cycle number and the internal resistance of the battery in the current cycle. Therefore, the method can predict the total cycle number of the battery, namely, the prediction of the service life of the battery is realized, so that a user can quickly know the service life condition of the battery, and the method has the advantages of high accuracy and easiness in realization.
In addition, the method for predicting the battery life according to the above embodiment of the present invention may further have the following additional technical features:
according to an embodiment of the present invention, the preset test conditions include: the temperature of the environment where the battery is located is a preset temperature, the standing time of the battery is not less than the preset time, and after the battery stands for the preset time, the battery is controlled to carry out pulse charging and discharging according to a preset mode.
According to an embodiment of the present invention, the controlling the battery to perform pulse charging and discharging according to a preset mode includes: controlling the battery to perform constant current discharge at a first current in a time period of 0-t 1; controlling the battery to stop charging and discharging in a time period from t1 to t 2; and controlling the battery to perform constant current charging at a second current in a time period from t2 to t3, wherein the second current is smaller than the first current.
According to one embodiment of the present invention, the internal resistance of the battery in the ith cycle includes at least one of a discharging internal resistance and a charging internal resistance in the ith cycle, wherein the discharging internal resistance and the charging internal resistance of the battery in the ith cycle are calculated according to the following formulas:
Ri,dis＝|(V2’-V0’)/(I2’-I0’)|，
Ri,cha＝|(V6’-V4’)/(I6’-I4’)|，
ri, dis is the internal discharge resistance of the battery in the ith cycle, V2 'is the voltage of the battery at the time t1, V0' is the voltage of the battery at the time 0, I2 'is the current of the battery at the time t1, I0' is the current of the battery at the time 0, Ri, cha is the internal charge resistance of the battery in the ith cycle, V6 'is the voltage of the battery at the time t3, V4' is the voltage of the battery at the time t2, I6 'is the current of the battery at the time t3, and I2' is the current of the battery at the time t 2.
According to one embodiment of the invention, the total number of cycles of the battery is predicted according to the following formula:
N＝n+(R0*a-Rn)/△R，
wherein △ R ═ (R)n-Rn-m) M, representing the increase rate of the internal resistance of the nth cycle, N is the current cycle number, N is an integer greater than or equal to 3, N is the total cycle number, R0A is a constant of 150% or more, R is the initial internal resistancenM is an integer greater than or equal to 3 and is a constant, which is the internal resistance of the cell in the nth cycle.
According to one embodiment of the present invention, when the internal resistance of the battery in the ith cycle includes only the discharge internal resistance in the ith cycle, the total cycle number of the battery is a total cycle number calculated from the discharge internal resistance; when the internal resistance of the battery in the ith cycle only comprises the charging internal resistance in the ith cycle, the total cycle number of the battery is the total cycle number calculated according to the charging internal resistance; when the internal resistance of the battery in the ith cycle comprises the discharging internal resistance and the charging internal resistance in the ith cycle, the total cycle number of the battery is the average value of the total cycle number calculated according to the discharging internal resistance and the total cycle number calculated according to the charging internal resistance.
According to an embodiment of the present invention, the method for predicting battery life further includes: and when the total cycle number of the battery is less than the service life threshold value, sending out an early warning signal to prompt a user to maintain the battery.
According to an embodiment of the present invention, the method for predicting battery life further includes: and when the internal resistance increasing rate obtained by c times of continuous calculation is larger than the internal resistance increasing rate obtained by the last calculation, sending out an early warning signal to prompt a user to maintain the battery, wherein c is an integer larger than or equal to 2 and is a constant.
In order to achieve the above object, a second aspect of the present invention provides a device for predicting battery life, including: the acquisition module is used for acquiring the initial internal resistance of the battery and the current cycle number of the battery; the calculation module is used for calculating the internal resistance of the battery in the current cycle under the preset test condition; and the predicting module is used for predicting the total cycle number of the battery according to the initial internal resistance, the current cycle number and the internal resistance of the battery in the current cycle.
According to the device for predicting the service life of the battery, the initial internal resistance of the battery and the current cycle number of the battery are firstly obtained through the obtaining module, then the internal resistance of the battery in the current cycle is calculated through the calculating module under the preset test condition, and finally the total cycle number of the battery is predicted through the predicting module according to the initial internal resistance of the battery, the current cycle number and the internal resistance of the battery in the current cycle. The device can predict the total cycle times of the battery through the initial internal resistance, the current cycle times and the internal resistance in the current cycle of the battery, namely, the prediction of the service life of the battery is realized, so that a user can quickly know the service life condition of the battery, and the method has the advantages of high accuracy and easiness in realization.
In order to achieve the above object, a third aspect of the present invention provides another apparatus for predicting battery life, including a memory, a processor, and a computer program stored in the memory and executable on the processor, where the processor executes the computer program to implement the above method for predicting battery life of this embodiment.
By adopting the battery life prediction method, the battery life prediction device can predict the total cycle times of the battery through the initial internal resistance, the current cycle times and the internal resistance in the current cycle, namely, the battery life prediction is realized, so that a user can quickly know the battery life condition, and the method has the advantages of high accuracy and easiness in realization.
Additional aspects and advantages of the invention will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the invention.
Drawings
FIG. 1 is a flow chart of a method of predicting battery life according to an embodiment of the invention;
FIG. 2 is a flow chart of a method for pulsing charging and discharging of a battery according to an example of the present invention;
fig. 3 is a graph of time-current relationship of a battery during pulse charging and discharging according to a specific example of the present invention;
FIG. 4 is a device for predicting battery life according to one embodiment of the present invention;
fig. 5 is a battery life prediction apparatus according to another embodiment of the present invention.
Detailed Description
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the drawings are illustrative and intended to be illustrative of the invention and are not to be construed as limiting the invention.
A battery life prediction method and a battery life prediction apparatus according to an embodiment of the present invention will be described below with reference to the drawings.
Fig. 1 is a flowchart of a method of predicting battery life according to an embodiment of the present invention.
As shown in fig. 1, the method for predicting battery life according to the embodiment of the present invention includes the following steps:
and S1, acquiring the initial internal resistance of the battery and the current cycle number of the battery.
In this embodiment, the battery may be a lithium battery, the initial internal resistance value refers to an internal resistance value of the lithium battery at a preset electric quantity and a preset temperature during a first cycle, where the preset electric quantity may be in a range of 30% to 80%, the preset temperature refers to a general temperature of the lithium battery, any temperature value within a temperature range of the lithium battery during normal operation may be selected as the preset temperature, for example, 25 ℃, the initial internal resistance of the battery may be obtained by obtaining the internal resistance value of the lithium battery at the preset electric quantity and the preset temperature during the first cycle, and the first cycle refers to a first charge and discharge use of the battery without overcharge and discharge.
And S2, calculating the internal resistance of the battery in the current cycle under the preset test condition.
In one example of the present invention, the preset test conditions may include: the temperature of the environment where the battery is located is a preset temperature, the standing time of the battery is not less than the preset time, and after the battery stands for the preset time, the battery is controlled to carry out pulse charging and discharging according to a preset mode.
Further, the controlling the battery to perform pulse charging and discharging according to the preset mode may include the steps of:
and S21, controlling the battery to perform constant current discharge at the first current in the 0-t1 time period.
And S22, controlling the battery to stop charging and discharging in the time period of t1-t 2.
And S23, controlling the battery to perform constant current charging at a second current in the time period from t2 to t3, wherein the second current is smaller than the first current.
Alternatively, the test may be performed in a State of Charge (SOC) range of 30% to 80%, where the internal resistance of the battery is relatively stable. The predetermined temperature may be 22-28 ℃, for example, 25 ℃, the predetermined time may be 4 hours, t1 may be 30s, t2 may be 70s, t3 may be 85s, the magnitude of the second current may be three times the magnitude of the first current, and the current and time corresponding to the pulse charging and discharging steps are shown in table 1 below.
TABLE 1
| Time increment/s | Cumulative time/s | current/ |
| 0 | 0 | 0 |
| 30 | 30 | |
| 40 | 70 | 0 |
| 15 | 85 | -0.75Imax1 |
Specifically, as shown in fig. 3, the battery is controlled to perform constant current discharge at a first current Imax1 in a time period of 0-30s, the battery is controlled to stop charging and discharging, that is, the charging and discharging current of the battery is 0 in a time period of 30s-70s, and the battery is controlled to perform constant current charge at a second current 0.75 × Imax1 in a time period of 70s-85 s.
In one example, the internal resistance of the battery in the ith cycle may include at least one of a discharging internal resistance and a charging internal resistance in the ith cycle, wherein the discharging internal resistance and the charging internal resistance of the battery in the ith cycle may be calculated according to the following formulas:
Ri,dis＝|(V2’-V0’)/(I2’-I0’)|，
Ri,cha＝|(V6’-V4’)/(I6’-I4’)|，
wherein I is an integer greater than 0, Ri, dis is the internal discharge resistance of the battery in the ith cycle, V2 'is the voltage of the battery at time t1, V0' is the voltage of the battery at time 0, I2 'is the current of the battery at time t1, I0' is the current of the battery at time 0, Ri, cha is the internal charge resistance of the battery in the ith cycle, V6 'is the voltage of the battery at time t3, V4' is the voltage of the battery at time t2, I6 'is the current of the battery at time t3, and I2' is the current of the battery at time t 2.
Specifically, when t1 is 30s, t2 is 70s, and t3 is 85s, V2 'is the voltage of the battery at the time 30s, I2' is the current of the battery at the time 30s, V6 'is the voltage of the battery at the time 85s, V4' is the voltage of the battery at the time 70s, I6 'is the current of the battery at the time 85s, and I2' is the current of the battery at the time 70 s.
The method for controlling the battery to perform pulse charging and discharging according to the preset method is not limited to the method of steps S21 to S23, and may be a method of performing only pulse charging, only pulse discharging, multiple pulse charging, multiple pulse discharging, or the like during the test time, and the charging and discharging time may be set as needed, and is not limited herein. Of course, the discharge internal resistance and the charge internal resistance are calculated in the same manner as the above-described calculation of Ri, dis and Ri, cha.
And S3, predicting the total cycle number of the battery according to the initial internal resistance, the current cycle number and the internal resistance of the battery in the current cycle.
In one example of the present invention, the total number of cycles of the battery may be predicted according to the following formula:
N＝n+(R0*a-Rn)/△R，
wherein △ R ═ (R)n-Rn-m) M, representing the increase rate of the internal resistance of the nth cycle, N is the current cycle number, N is an integer greater than or equal to 3, N is the total cycle number, R0Is an initial internal resistance, a is a constant of 150% or more, RnM is an integer greater than or equal to 3 and is a constant, which is the internal resistance of the cell in the nth cycle.
Wherein R is0A may be defined as a life threshold of the battery, which means 150% or higher of an initial value of the internal resistance of the battery.
Further, when the internal resistance of the battery in the ith cycle only includes the discharge internal resistance in the ith cycle, the total cycle number of the battery may be a total cycle number calculated from the discharge internal resistance; when the internal resistance of the battery in the ith cycle only includes the charging internal resistance in the ith cycle, the total cycle number of the battery may be a total cycle number calculated according to the charging internal resistance; when the internal resistance of the battery in the ith cycle includes the discharging internal resistance and the charging internal resistance in the ith cycle, the total cycle number of the battery may be an average of the total cycle number calculated from the discharging internal resistance and the total cycle number calculated from the charging internal resistance.
Alternatively, when the internal resistance of the battery in the ith cycle includes the discharging internal resistance and the charging internal resistance in the ith cycle, an average value of the discharging internal resistance and the charging internal resistance may be calculated, and the total cycle number of the battery may be the total cycle number calculated from the average value.
The method for predicting the service life of the battery can predict the total cycle number of the battery according to the initial internal resistance, the current cycle number and the internal resistance in the current cycle of the battery, namely, the prediction of the service life of the battery is realized, so that a user can quickly know the service life condition of the battery, and the method has the advantages of high accuracy and easiness in realization.
In one example of the present invention, the method for predicting battery life may further include: and when the total cycle number of the battery is less than the service life threshold value, sending out an early warning signal to prompt a user to maintain the battery.
Specifically, when the total cycle number N is less than the life threshold (e.g., 2000) of the battery, it indicates that the performance of the battery has been damaged, and an early warning signal is sent to prompt the user to repair the battery in time and perform necessary maintenance. Thereby, it is advantageous to keep the battery in a controlled state.
Optionally, when the current cycle number is greater than or equal to a preset number, for example, 500, if the predicted total cycle number is less than the life threshold of the battery, the early warning signal may be directly sent out; when the current cycle number is smaller than the preset number, if the predicted total cycle number is smaller than the service life threshold of the battery, one cycle of prediction can be performed again, and the like, and if the predicted total cycle number for multiple times is smaller than the service life threshold, an early warning signal is sent out.
In one example of the present invention, the method for predicting battery life may further include: and when the internal resistance increasing rate obtained by c times of continuous calculation is larger than the internal resistance increasing rate obtained by the last calculation, sending out an early warning signal to prompt a user to maintain the battery, wherein c is an integer larger than or equal to 2 and is a constant.
Specifically, in order to improve the accuracy of predicting the total number of cycles of the battery and reduce the influence of the fluctuation, △ R may be continuously calculated at least three times and compared in calculating the internal resistance increase rate, that is, △ R (R) may be calculated at least three timesn-Rn-m) And/m, for example, when the internal resistance increasing rate △ R obtained by continuous 3 times of calculation shows that △ R3 is larger than or equal to △ R2 is larger than or equal to △ R1, the service life of the battery shows an accelerated state, and an early warning signal is sent out to prompt a user to maintain the battery.
It should be noted that, in order to further improve the accuracy of prediction, the internal resistance increase rate Δ R in the time periods with similar temperatures is selected as much as possible for comparison.
In addition, when the service life of a power battery composed of a plurality of lithium batteries is predicted, the prediction method can be adopted to predict the service lives of at least two lithium batteries in the power battery, and then the service life of the power battery is predicted according to the prediction results of the at least two lithium batteries. For example, when two lithium batteries are selected for life prediction, and the results are respectively N1 and N2, if the values of N1 and N2 are close, the average value of N1 and N2 can be used as the predicted life of the power battery; if the values of N1 and N2 are different greatly, the value with the larger value can be used as the predicted service life of the power battery. When three lithium batteries are selected for service life prediction, the results are respectively N1, N2 and N3, if the values of N1, N2 and N3 are similar, the average value of N1, N2 and N3 can be used as the predicted service life of the power battery; if any two of N1, N2 and N3 are similar in value and are different from the other one greatly, the average value of the two similar in value can be used as the predicted service life of the power battery.
In summary, the method for predicting the service life of the battery can predict the service life of the battery according to the initial internal resistance, the current cycle number and the internal resistance in the current cycle, is high in accuracy and easy to implement, and can send out early warning signals according to the total cycle number and the internal resistance increasing rate of the battery to enable a user to quickly know the state of the battery so as to maintain and maintain the battery, so that the battery is kept in a controllable state.
Fig. 4 is a prediction apparatus of battery life according to an embodiment of the present invention.
As shown in fig. 4, a battery life prediction apparatus 10 according to an embodiment of the present invention includes: an acquisition module 11, a calculation module 12 and a prediction module 13.
The obtaining module 11 is configured to obtain an initial internal resistance of the battery and a current cycle number of the battery; the calculation module 12 is configured to calculate an internal resistance of the battery in a current cycle under a preset test condition; the prediction module 13 is configured to predict a total cycle number of the battery according to the initial internal resistance, the current cycle number, and the internal resistance of the battery in the current cycle.
It should be noted that the foregoing explanation of the embodiment of the method for predicting battery life is also applicable to the device for predicting battery life of this embodiment, and details are not repeated here.
According to the device for predicting the service life of the battery, the initial internal resistance of the battery and the current cycle number of the battery are firstly obtained through the obtaining module, then the internal resistance of the battery in the current cycle is calculated through the calculating module under the preset test condition, and finally the total cycle number of the battery is predicted through the predicting module according to the initial internal resistance, the current cycle number and the internal resistance of the battery in the current cycle.
Fig. 5 is a battery life prediction apparatus according to another embodiment of the present invention.
As shown in fig. 5, the battery life prediction apparatus 20 according to the embodiment of the present invention includes: the memory 21, the processor 22 and the computer program 23 stored in the memory 21 and operable on the processor 22, when the processor 22 executes the program 23, the method for predicting battery life according to the above-described embodiment of the present invention is implemented.
The battery life prediction device provided by the embodiment of the invention can predict the battery life according to the initial internal resistance, the current cycle number and the internal resistance in the current cycle of the battery when the processor executes the computer program, so that a user can quickly know the battery life condition, the accuracy is high, the implementation is easy, and an early warning signal can be sent according to the total cycle number and the internal resistance increasing rate of the battery to prompt the user to maintain and maintain the battery, thereby being beneficial to keeping the battery in a controllable state.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
In the description of the present invention, it is to be understood that the terms "central," "longitudinal," "lateral," "length," "width," "thickness," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," "outer," "clockwise," "counterclockwise," "axial," "radial," "circumferential," and the like are used in the orientations and positional relationships indicated in the drawings for convenience in describing the invention and to simplify the description, and are not intended to indicate or imply that the referenced devices or elements must have a particular orientation, be constructed and operated in a particular orientation, and are therefore not to be considered limiting of the invention.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. In the description of the present invention, "a plurality" means at least two, e.g., two, three, etc., unless specifically limited otherwise.
In the present invention, unless otherwise expressly stated or limited, the terms "mounted," "connected," "secured," and the like are to be construed broadly and can, for example, be fixedly connected, detachably connected, or integrally formed; can be mechanically or electrically connected; they may be directly connected or indirectly connected through intervening media, or they may be connected internally or in any other suitable relationship, unless expressly stated otherwise. The specific meanings of the above terms in the present invention can be understood by those skilled in the art according to specific situations.
In the present invention, unless otherwise expressly stated or limited, the first feature "on" or "under" the second feature may be directly contacting the first and second features or indirectly contacting the first and second features through an intermediate. Also, a first feature "on," "over," and "above" a second feature may be directly or diagonally above the second feature, or may simply indicate that the first feature is at a higher level than the second feature. A first feature being "under," "below," and "beneath" a second feature may be directly under or obliquely under the first feature, or may simply mean that the first feature is at a lesser elevation than the second feature.
Although embodiments of the present invention have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present invention, and that variations, modifications, substitutions and alterations can be made to the above embodiments by those of ordinary skill in the art within the scope of the present invention.
Claims (9)
1. A method for predicting battery life, comprising the steps of:
acquiring the initial internal resistance of the battery and the current cycle number of the battery;
under the preset test condition, calculating the internal resistance of the battery in the current cycle;
predicting the total cycle number of the battery according to the initial internal resistance, the current cycle number and the internal resistance of the battery in the current cycle;
wherein the total number of cycles of the battery is predicted according to the following formula:
N＝n+(R0*a-Rn)/△R，
wherein △ R ═ (R)n-Rn-m) M, representing the increase rate of the internal resistance of the nth cycle, N is the current cycle number, N is an integer greater than or equal to 3, N is the total cycle number, R0A is a constant of 150% or more, R is the initial internal resistancenM is an integer greater than or equal to 3 and is a constant, which is the internal resistance of the cell in the nth cycle.
2. The method of predicting battery life as set forth in claim 1, wherein the preset test conditions include: the temperature of the environment where the battery is located is a preset temperature, the standing time of the battery is not less than the preset time, and after the battery stands for the preset time, the battery is controlled to carry out pulse charging and discharging according to a preset mode.
3. The method for predicting battery life according to claim 2, wherein the controlling the battery to perform pulse charging and discharging according to a preset mode comprises:
controlling the battery to perform constant current discharge at a first current in a time period of 0-t 1;
controlling the battery to stop charging and discharging in a time period from t1 to t 2;
and controlling the battery to perform constant current charging at a second current in a time period from t2 to t3, wherein the second current is smaller than the first current.
4. The method of predicting the life of a battery according to claim 3, wherein the internal resistance of the battery in the i-th cycle includes at least one of a discharging internal resistance and a charging internal resistance in the i-th cycle, wherein the discharging internal resistance and the charging internal resistance of the battery in the i-th cycle are calculated according to the following formulas:
Ri,dis＝|(V2’-V0’)/(I2’-I0’)|，
Ri,cha＝|(V6’-V4’)/(I6’-I4’)|，
ri, dis is the internal discharge resistance of the battery in the ith cycle, V2 'is the voltage of the battery at the time t1, V0' is the voltage of the battery at the time 0, I2 'is the current of the battery at the time t1, I0' is the current of the battery at the time 0, Ri, cha is the internal charge resistance of the battery in the ith cycle, V6 'is the voltage of the battery at the time t3, V4' is the voltage of the battery at the time t2, I6 'is the current of the battery at the time t3, and I4' is the current of the battery at the time t 2.
5. The method of predicting battery life according to claim 4,
when the internal resistance of the battery in the ith cycle only comprises the discharge internal resistance in the ith cycle, the total cycle number of the battery is the total cycle number calculated according to the discharge internal resistance;
when the internal resistance of the battery in the ith cycle only comprises the charging internal resistance in the ith cycle, the total cycle number of the battery is the total cycle number calculated according to the charging internal resistance;
when the internal resistance of the battery in the ith cycle comprises the discharging internal resistance and the charging internal resistance in the ith cycle, the total cycle number of the battery is the average value of the total cycle number calculated according to the discharging internal resistance and the total cycle number calculated according to the charging internal resistance.
6. The method of predicting battery life as set forth in claim 5, further comprising:
and when the total cycle number of the battery is less than the service life threshold value, sending out an early warning signal to prompt a user to maintain the battery.
7. The method of predicting battery life as set forth in claim 4, further comprising:
and when the internal resistance increasing rate obtained by c times of continuous calculation is larger than the internal resistance increasing rate obtained by the last calculation, sending out an early warning signal to prompt a user to maintain the battery, wherein c is an integer larger than or equal to 2 and is a constant.
8. An apparatus for predicting battery life, comprising:
the acquisition module is used for acquiring the initial internal resistance of the battery and the current cycle number of the battery;
the calculation module is used for calculating the internal resistance of the battery in the current cycle under the preset test condition;
the prediction module is used for predicting the total cycle number of the battery according to the initial internal resistance, the current cycle number and the internal resistance of the battery in the current cycle;
wherein the total number of cycles of the battery is predicted according to the following formula:
N＝n+(R0*a-Rn)/△R，
wherein △ R ═ (R)n-Rn-m) M, representing the increase rate of the internal resistance of the nth cycle, N is the current cycle number, N is an integer greater than or equal to 3, N is the total cycle number, R0A is a constant of 150% or more, R is the initial internal resistancenM is an integer greater than or equal to 3 and is a constant, which is the internal resistance of the cell in the nth cycle.
9. A device for predicting battery life, comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor executes the program to implement the method for predicting battery life according to any one of claims 1 to 7.
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