CN114295998A - Method, device and equipment for predicting service life of power battery and storage medium - Google Patents
Method, device and equipment for predicting service life of power battery and storage medium Download PDFInfo
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Abstract
The invention discloses a method, a device, equipment and a storage medium for predicting the service life of a power battery, wherein the method comprises the following steps: acquiring running data of a vehicle; processing the operating data to obtain a plurality of operating parameters; determining a load index of the power battery based on the operating parameter; and determining the residual life of the power battery based on the load index. According to the technical scheme, the load index is obtained based on the plurality of operation parameters, and the residual service life of the power battery is analyzed based on the load index, so that the problem that the calculation amount is large when different operation parameters are analyzed respectively is solved, meanwhile, the problem that the calculation result is inaccurate due to different influence weights of different operation parameters on the service life of the battery is solved, and the accuracy of the result is improved.
Description
Technical Field
The invention belongs to the technical field of power batteries, and particularly relates to a method, a device, equipment and a storage medium for predicting the service life of a power battery.
Background
At present, power batteries are all secondary batteries, namely, the power batteries can be continuously used in a charging mode; the life of such secondary batteries is classified into two types, i.e., charge-discharge cycle life and wet shelf life. The charge-discharge cycle life is the cycle life of a power battery, i.e. the number of times of charge and discharge, the battery capacity of the power battery is reduced to a certain value, and the number of times of charge and discharge is the charge-discharge cycle life of the power battery. Of course, the longer the charge-discharge cycle life, the better the performance of the battery.
The decay speed of the service life of the power battery is simultaneously influenced by the current health degree, the individual quality difference of the power battery and the use load; however, directly comparing the decay rates does not provide a good solution for weighting the effects of these factors on the lifetime of the power cell, and therefore other values need to be calculated to separately analyze the effects of the usage pattern of the power cell on the lifetime.
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, an object of the present invention is to provide a method, an apparatus, a device and a storage medium for predicting the lifetime of a power battery.
In order to solve the above technical problem, an embodiment of the present invention provides the following technical solutions:
a method for predicting the service life of a power battery comprises the following steps:
acquiring running data of a vehicle;
processing the operating data to obtain a plurality of operating parameters;
determining a load index of the power battery based on the operating parameter;
and determining the residual life of the power battery based on the load index.
Optionally, the processing the operation data to obtain a plurality of operation parameters includes:
obtaining a plurality of operating parameters within each cycle based on the operating data;
obtaining the mean value of each operating parameter;
wherein, one circulation is that the power battery accomplishes the process of once charging, once discharging.
Optionally, the plurality of operating parameters include: depth of discharge, charge rate, discharge rate, and use temperature.
Optionally, after obtaining the mean value of each operating parameter, the method further includes:
and carrying out standardization processing on each operating parameter to obtain a plurality of standard operating parameters.
Optionally, the determining the load index of the power battery based on the operation parameter includes:
and determining the load index of the power battery based on a plurality of standard operation parameters.
Optionally, the load index is obtained by calculation based on the following calculation formula:
Pe＝Πxp label
In the formula: pe is the load index; x is the number ofP labelIs a standard operating parameter; p represents the type of standard operating parameter.
Optionally, the determining the remaining life of the power battery based on the load index includes:
segmenting the historical data of the vehicle into a plurality of equivalent cycles;
obtaining an equivalent cycle value;
and determining the residual life of the power battery based on the load index and the equivalent cycle value.
Optionally, determining the remaining life of the power battery based on the load index and the equivalent cycle value includes:
said determining a cumulative load index based on said load index and said equivalent cycle value;
comparing the cumulative load index with a preset threshold;
if the cumulative load index is smaller than the preset threshold, the residual life of the power battery is larger than 0;
and if the cumulative load index is equal to the preset threshold value, the power battery reaches the end of the service life.
Optionally, the cumulative load index is calculated based on the following formula:
s＝∑ni·Pei
wherein s is the cumulative load index; n isiIs an equivalent cycle value; i is the number of equivalent cycles, and i is a positive integer.
The embodiment of the invention also provides a device for predicting the service life of the power battery, which comprises:
the first acquisition module is used for acquiring the running data of the vehicle;
the second acquisition module is used for processing the operation data to acquire operation parameters;
the first determination module is used for determining a load index of the power battery based on the operation parameters;
and the second determination module is used for determining the residual life of the power battery based on the load index.
Embodiments of the present invention also provide an electronic device comprising a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, the processor implementing the method as described above when executing the computer program.
Embodiments of the present invention also provide a computer-readable storage medium comprising a stored computer program, wherein the computer program, when executed, controls an apparatus in which the computer-readable storage medium is located to perform the method as described above.
The embodiment of the invention has the following technical effects:
according to the technical scheme, 1) the system can acquire the running data of the power battery in the using process in real time based on the network, and is simple and rapid to operate and accurate in data;
2) in order to reduce the influence of interference factors such as data deviation on the data accuracy, each operation parameter is subjected to standardization processing based on historical data obtained by calculating the power battery in the operation process.
3) The load index is obtained based on the plurality of operation parameters, and the residual service life of the power battery is analyzed based on the load index, so that the problems of large calculation amount due to the fact that different operation parameters are analyzed respectively can be avoided, meanwhile, the problem that calculation results are inaccurate due to the fact that different operation parameters have different influence weights on the service life of the battery is also avoided, and the accuracy of the results is improved.
4) Compared with the prior art, the method can find possible problems in the use process of the power battery in advance, is beneficial to prolonging the service life of the power battery, reduces subsequent loss and saves cost.
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 schematic flow chart of a method for predicting the life of a power battery according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of a device for predicting the lifetime of a power battery according to an 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.
To facilitate understanding of the embodiments by those skilled in the art, some terms are explained:
(1) soc: state of Charge, the State of Charge of a battery, refers to the State of availability of the remaining Charge in the battery.
(2) RTM: and the system monitors the working data of the new energy vehicle in real time and sends the real-time data to the background database.
An embodiment of the present invention provides a system for predicting battery life, including: a processor and a memory;
the system is in communication connection with a running vehicle based on a network;
the vehicle uploads real-time RTM data to the system based on a network, and the system stores the obtained RTM data into a memory so as to facilitate the calling of a processor on the RTM data;
in the embodiment of the invention, the processor calls RTM data stored in the memory, specifically total current, soc and cell temperature;
the processor processes the total current, the soc and the cell temperature to obtain a plurality of operation parameters (discharge depth, charge multiplying power, discharge multiplying power and service temperature); determining a load index based on a plurality of operating parameters; determining the residual life of the power battery based on the load index;
specifically, the processor divides the historical data of the vehicle into a plurality of equivalent cycles based on an equivalent cycle algorithm, and obtains an equivalent cycle value of each equivalent cycle; wherein the historical data of the vehicle is stored in a memory;
and the processor determines the residual life of the power battery based on the equivalent cycle value and the load index.
For the power battery in a use state, historical data obtained by calculation of the system are stored in the memory during use, so that a subsequent processor can call the historical data conveniently.
For the power battery reaching the end of the service life, the system deletes the historical data stored in the memory to save the use space of the memory.
In an optional embodiment of the present invention, the processor may optimize a usage strategy of the power battery based on an operation parameter of the power battery, and may perform a fault analysis on the power battery based on a remaining life of the power battery.
In an alternative embodiment of the present invention, the processor may be associated with a display device, for example: the processor is connected with the display screen, and the operation parameters of the battery obtained through calculation can be displayed on the basis of the display screen, so that a user or a worker can know the use state of the power battery in time.
As shown in fig. 1, an embodiment of the present invention provides a method for predicting a lifetime of a power battery, which is applied to the above system, and includes:
step S1: acquiring running data of a vehicle;
the system acquires the running data of the vehicle in real time based on the network and is used for acquiring the running state of the vehicle in time.
According to the embodiment of the invention, the system can acquire the running data of the power battery in the using process in real time based on the network, and is simple and rapid to operate and accurate in data.
Step S2: processing the operating data to obtain a plurality of operating parameters;
specifically, the processing the operation data to obtain a plurality of operation parameters includes:
obtaining a plurality of operating parameters within each cycle based on the operating data;
obtaining the mean value of each operating parameter;
wherein, one circulation is that the power battery accomplishes the process of once charging, once discharging.
Specifically, the total current, the soc and the cell temperature data in the operation data of the vehicle are acquired.
The system acquires the operation parameters once after the power battery completes one cycle, namely, confirms the remaining life of the power battery once.
Further, the plurality of operating parameters includes: depth of discharge, charge rate, discharge rate, and use temperature.
Specifically, in the embodiment of the invention, based on the total current and the soc, the discharge depth, the charge rate and the discharge rate are calculated; and calculating to obtain the use temperature based on the cell use temperature.
Determining the discharge depth data acquired in the primary cycle as a group of data;
determining the charging multiplying power data acquired in the primary circulation as a group of data;
determining the discharge multiplying power data acquired in one cycle as a group of data;
determining the service temperature data acquired in the primary cycle as a group of data;
in an actual application scenario, other types of data may be added to the operation parameter according to actual needs, and this is not specifically limited in the embodiment of the present invention.
Further, after obtaining the mean value of each of the operating parameters, the method further includes:
and carrying out standardization processing on each operating parameter to obtain a plurality of standard operating parameters.
In particular, for a certain operating parameter xpThere is historical cell data Xp＝xp0、xp1、xp1… …, the corresponding historical cell cycle life is C ═ C0、c1、c2… …, respectively; where p may represent depth of discharge, charge rate, discharge rate, and use temperature.
That is, there is xp0And c0Corresponds to, xp1And c1And carrying out standardization processing on the data in the current cycle based on historical data according to the corresponding relation of the corresponding relation and the like.
When the operation parameter is any one of the depth of discharge, the charge rate and the discharge rate, the standardization process is carried out based on the following formula:
for example: p represents the depth of discharge:
f(x|a)＝(x/xp0)awherein a is a parameter; x is the number ofp0Other data may be exchanged, for example: x is the number ofp0、xp2……；
By historical depth of discharge data Xp＝xp0、xp1、xp1… …, and corresponding historical battery cell cycle life C ═ C0、c1、c2… … and f (x | a) ═ x/xp0)aFitting C/C0Determining the value of a; the fitting may be a regression fitting or the like.
Obtaining a set of data of the operating parameter depth of discharge of the current cycle, and determining a mean value x based on the set of datap(ii) a For example: a is 2, then f (x)p|a)＝(xp/xp0)2And then x is obtainedP label(standard form of depth of discharge).
When the operation parameter is the use temperature, p represents the use temperature; has historical use temperature data Xp＝xp0、xp1、xp1… …, the corresponding historical cell cycle life is C ═ C0、c1、c2……；
The normalization process is performed based on the following formula:
By passing
Fitting C/C0Determining a1、a2、a3、a4The value of (c).
For example: a is1＝2、a2＝3、a3＝4、a4＝5
Obtaining a set of data of operating parameter use temperature of the current cycle, and determining a mean value x based on the set of datap；
Then, the mean value xpSubstitution into
The following can be obtained:
thereby realizing xpTo obtain xP label。
According to the embodiment of the invention, in order to reduce interference factors such as data deviation and the like and influence on data accuracy, each operation parameter is subjected to standardization processing based on historical data obtained by calculating the power battery in the operation process.
Step S3: determining a load index of the power battery based on the operating parameter;
specifically, the determining the load index of the power battery based on the operation parameter includes:
and determining the load index of the power battery based on a plurality of standard operation parameters.
Further, the load index is calculated and obtained based on the following calculation formula:
Pe＝Πxp label
In the formula: pe is the load index; x is the number ofP labelIs a standard operating parameter; p represents the type of standard operating parameter.
According to the embodiment of the invention, the load index is obtained based on the plurality of operation parameters, and the residual service life of the power battery is analyzed based on the load index, so that the problem of large calculation amount due to the fact that different operation parameters are analyzed respectively is avoided, meanwhile, the problem of inaccurate calculation result due to different influence weights of different operation parameters on the service life of the battery is also avoided, and the accuracy of the result is improved.
Step S4: and determining the residual life of the power battery based on the load index.
Specifically, the determining the remaining life of the power battery based on the load index includes:
segmenting the historical data of the vehicle into a plurality of equivalent cycles;
obtaining an equivalent cycle value;
and determining the residual life of the power battery based on the load index and the equivalent cycle value.
Specifically, there are various methods for performing equivalent cycle segmentation on data, and in the embodiment of the present invention, a charge-discharge process is regarded as an equivalent cycle (therefore, the equivalent cycle in the embodiment of the present invention is equivalent to the cycle in the aforementioned step S2, that is, the number of equivalent cycles is the same as the number of cycles), and the initial charge, the end of charge, and the end of discharge in the process respectively correspond to the soc1、soc2And soc3。
The equivalent cycle value corresponding to each equivalent cycle is respectively as follows: n is soc2-max(soc1，soc3)
In an actual application scene, the system stores each equivalent cycle value of the vehicle, specifically stores each equivalent cycle value obtained by calculating the process from the beginning to the end of each power battery, and takes the historical data of the power battery as the reference of the data generated by the current cycle when the end of the service life of the power battery is not reached.
Specifically, after the ith cycle is completed, the system acquires the soc corresponding to the cycle (or the equivalent cycle)1、soc2And soc3And based on the above calculation formula, calculating to obtain the equivalent cycle value, n, of the equivalent cyclei＝soc2-max(soc1，soc3)
Further, determining the remaining life of the power battery based on the load index and the equivalent cycle value comprises:
said determining a cumulative load index based on said load index and said equivalent cycle value;
comparing the cumulative load index with a preset threshold;
if the cumulative load index is smaller than the preset threshold, the residual life of the power battery is larger than 0;
and if the cumulative load index is equal to the preset threshold value, the power battery reaches the end of the service life.
In the embodiment of the present invention, the preset threshold may be set to 1.
Further, the cumulative load index is calculated based on the following formula:
s＝∑ni·Pei
wherein s is the cumulative load index; n isiIs an equivalent cycle value; i is the number of equivalent cycles, and i is a positive integer.
In an actual application scene, acquiring historical data of the power battery, and performing equivalent cycle segmentation on the historical data of the power battery to acquire i-1 equivalent cycles;
acquiring historical load indexes corresponding to each equivalent cycle, namely i-1 historical load indexes;
based on the calculation formula, calculating to obtain n of each equivalent cycle value (including i-1 historical equivalent cycle values and the ith equivalent cycle value of the time)1、n2……ni；
Meanwhile, based on the calculation formula, i-1 historical load indexes and the load are calculated and obtainedCharge index Pe1、Pe2……Pei；
Obtaining a current cumulative load index s based on the calculation formula and the obtained data;
and comparing the cumulative load index s with 1:
specifically, when the value of s is less than 1, the power battery does not reach the end of the service life, that is, the remaining service life of the power battery is greater than 0, and the power battery can be continuously used.
And when the value of s is equal to 1, stopping using the power battery or replacing the power battery when the service life of the power battery reaches the end.
An alternative embodiment of the invention may be based on the obtained xP labelOptimizing the use strategy of the power battery, specifically, if certain x is acquiredP labelAnd x of other historiesP labelIf the comparison difference is large, the system acquires the output xP labelThe service state of the power battery is obtained, other parameters corresponding to the service state of the power battery are obtained, the current service mode is corrected based on the other parameters, the service strategy of the power battery is optimized, the abnormal state of the power battery is prevented from occurring again, and the service life of the power battery is prolonged.
In an alternative embodiment of the present invention, the remaining life of the power battery obtained based on s may be compared with the remaining life of the power battery obtained by other methods;
for example, if the remaining life of the power battery is determined to be 1 year based on the embodiment of the present invention, and the remaining life of the power battery obtained based on other methods is 3 years, it is likely that an abnormality occurs in the use of the power battery; can carry out the early warning to the staff based on this comparison result to in time detect the maintenance to power battery.
Therefore, compared with the prior art, the embodiment of the invention can find possible problems in the use process of the power battery in advance, is beneficial to prolonging the service life of the power battery, reduces subsequent loss and saves cost.
As shown in fig. 2, an embodiment of the present invention further provides an apparatus 200 for predicting a lifetime of a power battery, including:
a first obtaining module 201, configured to obtain operation data of a vehicle;
a second obtaining module 202, configured to process the operation data to obtain an operation parameter;
a first determination module 203, configured to determine a load index of the power battery based on the operation parameter;
a second determination module 204 is configured to determine a remaining life of the power battery based on the load index.
Optionally, the processing the operation data to obtain a plurality of operation parameters includes:
obtaining a plurality of operating parameters within each cycle based on the operating data;
obtaining the mean value of each operating parameter;
wherein, one circulation is that the power battery accomplishes the process of once charging, once discharging.
Optionally, the plurality of operating parameters include: depth of discharge, charge rate, discharge rate, and use temperature.
Optionally, after obtaining the mean value of each operating parameter, the method further includes:
and carrying out standardization processing on each operating parameter to obtain a plurality of standard operating parameters.
Optionally, the determining the load index of the power battery based on the operation parameter includes:
and determining the load index of the power battery based on a plurality of standard operation parameters.
Optionally, the load index is obtained by calculation based on the following calculation formula:
Pe＝Πxp label
In the formula: pe is the load index; x is the number ofP labelIs a standard operating parameter; p represents the type of standard operating parameter.
Optionally, the determining the remaining life of the power battery based on the load index includes:
segmenting the historical data of the vehicle into a plurality of equivalent cycles;
obtaining an equivalent cycle value;
and determining the residual life of the power battery based on the load index and the equivalent cycle value.
Optionally, determining the remaining life of the power battery based on the load index and the equivalent cycle value includes:
said determining a cumulative load index based on said load index and said equivalent cycle value;
comparing the cumulative load index with a preset threshold;
if the cumulative load index is smaller than the preset threshold, the residual life of the power battery is larger than 0;
and if the cumulative load index is equal to the preset threshold value, the power battery reaches the end of the service life.
Optionally, the cumulative load index is calculated based on the following formula:
s＝∑ni·Pei
wherein s is the cumulative load index; n isiIs an equivalent cycle value; i is the number of equivalent cycles, and i is a positive integer.
Embodiments of the present invention also provide an electronic device comprising a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, the processor implementing the method as described above when executing the computer program.
Embodiments of the present invention also provide a computer-readable storage medium comprising a stored computer program, wherein the computer program, when executed, controls an apparatus in which the computer-readable storage medium is located to perform the method as described above.
In addition, other configurations and functions of the apparatus according to the embodiment of the present invention are known to those skilled in the art, and are not described herein for reducing redundancy.
It should be noted that the logic and/or steps represented in the flowcharts or otherwise described herein, such as an ordered listing of executable instructions that can be considered to implement logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. For the purposes of this description, a "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of the computer-readable medium would include the following: an electrical connection (electronic device) having one or more wires, a portable computer diskette (magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). Additionally, the computer-readable medium could even be paper or another suitable medium upon which the program is printed, as the program can be electronically captured, via for instance optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner if necessary, and then stored in a computer memory.
It should be understood that portions of the present invention may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
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 (12)
1. A method for predicting the service life of a power battery is characterized by comprising the following steps:
acquiring running data of a vehicle;
processing the operating data to obtain a plurality of operating parameters;
determining a load index of the power battery based on the operating parameter;
and determining the residual life of the power battery based on the load index.
2. The method of claim 1, wherein said processing said operational data to obtain a plurality of operational parameters comprises:
obtaining a plurality of operating parameters within each cycle based on the operating data;
obtaining the mean value of each operating parameter;
wherein, one circulation is that the power battery accomplishes the process of once charging, once discharging.
3. The method of claim 1, wherein the plurality of operating parameters comprises: depth of discharge, charge rate, discharge rate, and use temperature.
4. The method of claim 2, wherein obtaining the mean value of each of the operating parameters further comprises:
and carrying out standardization processing on each operating parameter to obtain a plurality of standard operating parameters.
5. The method of claim 4, wherein determining the load index of the power cell based on the operating parameter comprises:
and determining the load index of the power battery based on a plurality of standard operation parameters.
6. The method according to claim 1, wherein the load index is calculated based on the following calculation formula:
Pe＝Πxp label
In the formula: pe is the load index; x is the number ofP labelIs a standard operating parameter; p represents the type of standard operating parameter.
7. The method of claim 1, wherein determining the remaining life of the power battery based on the load index comprises:
segmenting the historical data of the vehicle into a plurality of equivalent cycles;
obtaining an equivalent cycle value;
and determining the residual life of the power battery based on the load index and the equivalent cycle value.
8. The method of claim 7, wherein determining the remaining life of the power battery based on the load index and an equivalent cycle value comprises:
said determining a cumulative load index based on said load index and said equivalent cycle value;
comparing the cumulative load index with a preset threshold;
if the cumulative load index is smaller than the preset threshold, the residual life of the power battery is larger than 0;
and if the cumulative load index is equal to the preset threshold value, the power battery reaches the end of the service life.
9. The method of claim 8, wherein the cumulative load index is calculated based on the following formula:
s＝∑ni·Pei
wherein s is the cumulative load index; n isiIs an equivalent cycle value; i is the number of equivalent cycles, and i is a positive integer.
10. An apparatus for predicting a lifetime of a power battery, comprising:
the first acquisition module is used for acquiring the running data of the vehicle;
the second acquisition module is used for processing the operating data to acquire a plurality of operating parameters;
the first determination module is used for determining a load index of the power battery based on the operation parameters;
and the second determination module is used for determining the residual life of the power battery based on the load index.
11. An electronic device comprising a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, the processor implementing the method of any of claims 1 to 9 when executing the computer program.
12. A computer-readable storage medium, comprising a stored computer program, wherein the computer program, when executed, controls an apparatus in which the computer-readable storage medium is located to perform the method of any of claims 1-9.
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| CN117970152A (en) * | 2024-01-04 | 2024-05-03 | 中国电子产品可靠性与环境试验研究所（（工业和信息化部电子第五研究所）（中国赛宝实验室）） | State evaluation method and device of power battery, computer equipment and storage medium |
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