Battery life extension method, device, equipment, medium and program product

Abstract

The present application provides a battery life extension method, device, equipment, medium and program product, which belongs to the field of battery technology. The battery life extension method includes: determining multiple aging failure modes of the battery, each of the multiple aging failure modes includes at least one failure adjustment parameter; based on at least one failure adjustment parameter of each aging failure mode in the multiple aging failure modes, determining the failure functions corresponding to the multiple aging failure modes; based on the failure functions corresponding to the multiple aging failure modes and the failure thresholds corresponding to the multiple aging failure modes determined in advance, determining the first adjustment strategies corresponding to the multiple aging failure modes; and determining the second adjustment strategy of the battery according to the first adjustment strategies corresponding to the multiple aging failure modes. This method can determine a reasonable battery life extension strategy and extend the safe service life of the battery.

Description

Technical Field

[0001] The present application relates to the field of battery technology, and in particular to a method, device, equipment, medium and program product for extending battery life. Background Art

[0002] Energy conservation and emission reduction are the key to the sustainable development of the automobile industry. Electric vehicles have become an important part of the sustainable development of the automobile industry due to their advantages in energy conservation and environmental protection. For electric vehicles, battery technology is an important factor in their development.

[0003] As the battery ages, the byproducts of the electrochemical reaction inside the battery gradually accumulate, and the battery will gradually age, and may even cause problems such as battery structure failure, explosion-proof valve blowout, and thermal runaway. How to reasonably delay the aging of the battery and extend the safe service life of the battery has a vital impact on the development of battery technology. Summary of the invention

[0004] The present application aims to at least solve the technical problem of the lack of a reasonable strategy for extending the battery life in the background technology. To this end, one purpose of the present application is to provide a battery life extension method to determine a reasonable battery life extension strategy, extend the safe service life of the battery, and reduce the risk of failure during battery use.

[0005] An embodiment of the first aspect of the present application provides a battery life extension method, comprising: determining multiple aging failure modes of a battery, each of the multiple aging failure modes respectively including at least one failure adjustment parameter, and the at least one failure adjustment parameter is used to adjust the service life of the battery; based on the at least one failure adjustment parameter of each of the multiple aging failure modes, determining failure functions corresponding to the multiple aging failure modes respectively; based on the failure functions corresponding to the multiple aging failure modes respectively and the predetermined failure thresholds corresponding to the multiple aging failure modes respectively, determining first adjustment strategies corresponding to the multiple aging failure modes respectively, the failure threshold indicating the threshold of the battery state of the battery in the corresponding aging failure mode, and the first adjustment strategy being used to adjust at least one failure adjustment parameter of the corresponding aging failure mode; and determining a second adjustment strategy for the battery according to the first adjustment strategies corresponding to the multiple aging failure modes respectively, and adjusting at least one failure adjustment parameter based on the second adjustment strategy to extend the service life of the battery.

[0006] In the technical solution of the embodiment of the present application, multiple aging failure modes of the battery are taken into account, and a first adjustment strategy for extending the battery life is determined for the failure function and failure threshold of each aging failure mode, and each failure adjustment parameter is adjusted, and a second adjustment strategy for extending the battery life is determined based on the first adjustment strategy under each aging failure mode. Since the influence of different aging failure modes of the battery on the battery life is taken into account when determining the strategy, a more comprehensive and detailed battery life extension strategy can be determined, effectively improving the safe service life of the battery.

[0007] In some embodiments, based on at least one failure adjustment parameter of each aging failure mode in multiple aging failure modes, determining failure functions corresponding to the multiple aging failure modes respectively includes: for any aging failure mode in multiple aging failure modes: determining a failure evaluation factor and at least one failure influence factor corresponding to the aging failure mode, the failure evaluation factor is used to indicate the aging degree of the battery, and the at least one failure influence factor is used to indicate the factor causing battery aging; and determining the failure function corresponding to the aging failure mode according to the failure evaluation factor, at least one failure influence factor and at least one failure adjustment parameter. Determining the failure function of each aging failure mode according to the failure evaluation factors and failure influence factors under different aging failure modes can make the final failure function more consistent with the actual aging process of the battery, accurately simulate the actual state of the battery, and thus obtain a more accurate life extension strategy.

[0008] In some embodiments, determining the failure function corresponding to the aging failure mode according to the failure evaluation factor, at least one failure influencing factor and at least one failure adjustment parameter includes: obtaining multiple failure evaluation factor sampling values ​​of the battery in the aging failure mode, the multiple failure evaluation factor sampling values ​​indicating the numerical values ​​corresponding to the failure evaluation factor of the battery in multiple predetermined sampling states; obtaining multiple failure influence factor sampling values ​​corresponding to each failure influence factor of at least one failure influencing factor of the battery in the aging failure mode, the multiple failure influence factor sampling values ​​indicating the numerical values ​​corresponding to the failure influence factor of the battery in multiple sampling states; and determining the failure function corresponding to the aging failure mode according to the multiple failure evaluation factor sampling values, the multiple failure influence factor sampling values ​​corresponding to each failure influence factor of at least one failure influencing factor and at least one failure adjustment parameter. Under multiple sampling states of a certain aging failure mode, the sampling values ​​of the failure evaluation factor and the failure influencing factor are determined respectively, so that a more accurate failure function can be obtained according to these sampling values.

[0009] In some embodiments, each of the at least one failure adjustment parameter includes an initial failure adjustment parameter value, which is predetermined based on the battery performance of the battery. Determining the initial failure adjustment parameter value based on the battery performance can put the battery in a safe and stable initial state, which is conducive to improving the safe service life of the battery.

[0010] In some embodiments, based on the failure functions corresponding to the multiple aging failure modes and the predetermined failure thresholds corresponding to the multiple aging failure modes, determining the first adjustment strategies corresponding to the multiple aging failure modes includes: for any of the multiple aging failure modes: determining the first service life of the battery according to the failure function, the failure threshold and the initial failure adjustment parameter value corresponding to the at least one failure adjustment parameter, the first service life indicating the service life of the battery when the at least one failure adjustment parameter is set to the corresponding initial failure adjustment parameter value; and determining the first adjustment strategy corresponding to the aging failure mode according to the predetermined second service life and the first service life of the battery, the second service life being greater than the first service life. The adjustment strategy is determined according to the safe service life of the battery in the initial state and the expected service life of the battery, and different adjustment methods can be used for different stages of the battery to obtain a more accurate and flexible adjustment strategy.

[0011] In some embodiments, according to the second service life and the first service life of the battery which are preset, determining the first adjustment strategy corresponding to the aging failure mode includes: determining the battery life to be extended according to the second service life and the first service life; and determining the first failure adjustment parameter setting value corresponding to at least one failure adjustment parameter in the life to be extended according to the second service life, the failure function and the failure threshold. When the battery is working in the life to be extended, the setting values ​​of each failure adjustment parameter are determined so that the battery can work safely and stably within the desired extended working time, thereby improving the safety of the battery.

[0012] In some embodiments, the first adjustment strategy corresponding to any one of the multiple aging failure modes includes: when the battery is in the first service life, determining at least one failure adjustment parameter in the aging failure mode as the initial failure adjustment parameter value corresponding thereto; and when the battery is in the second service life and not in the first service life, determining at least one failure adjustment parameter in the aging failure mode as the first failure adjustment parameter setting value corresponding thereto. When the battery is in the first service life or needs to extend its service life, different adjustment methods are used according to the different stages of the battery, so that the battery life extension strategy can be reasonably designed to effectively delay the battery aging process.

[0013] In some embodiments, according to the first adjustment strategies corresponding to the multiple aging failure modes, determining the second adjustment strategy of the battery includes: for any failure adjustment parameter of at least one failure adjustment parameter: according to the minimum value of the first failure adjustment parameter setting values ​​corresponding to the failure adjustment parameter under the first adjustment strategies corresponding to the multiple aging failure modes, determining the second failure adjustment parameter setting value corresponding to the failure adjustment parameter under the second adjustment strategy. After determining the first adjustment strategy corresponding to each aging failure mode, for the failure adjustment parameter therein, determining the second failure adjustment parameter setting value in the adjustment strategy for extending the battery life that is finally used according to the minimum value of the setting values ​​under different aging failure modes, so that the second failure adjustment parameter setting value can meet the adjustment strategies of different aging failure modes and effectively extend the battery life.

[0014] In some embodiments, according to the second service life, the failure function and the failure threshold, determining the first failure adjustment parameter setting value corresponding to at least one failure adjustment parameter in the life to be extended includes: for any failure adjustment parameter in at least one failure adjustment parameter: when other failure adjustment parameters except the failure adjustment parameter in at least one failure adjustment parameter are set to the corresponding initial failure adjustment parameter values, determining the first failure adjustment parameter setting value corresponding to the failure adjustment parameter according to the second service life, the failure function and the failure threshold. When determining the setting value of any failure adjustment parameter, the other failure adjustment parameters can be set as the initial failure adjustment parameter value, so that the number of parameters to be determined can be reduced as much as possible when determining the first adjustment strategy, simplifying the determination process.

[0015] In some embodiments, determining the first failure adjustment parameter setting value corresponding to at least one failure adjustment parameter in the life to be extended according to the second service life, the failure function and the failure threshold value also includes: for any failure adjustment parameter in at least one failure adjustment parameter: in response to the first failure adjustment parameter setting value corresponding to the failure adjustment parameter not satisfying the first state condition, determining the first failure adjustment parameter setting values ​​corresponding to other failure adjustment parameters in at least one failure adjustment parameter except the failure adjustment parameter according to the first failure adjustment parameter setting value corresponding to the failure adjustment parameter, the second service life, the failure function and the failure threshold value. When the setting value of a single failure adjustment parameter is not effective, further determining the setting values ​​of other failure adjustment parameters can improve the adjustment effect while simplifying the adjustment strategy determination process, so that the battery can improve the user experience as much as possible while extending the service life.

[0016] In some embodiments, the failure threshold is predetermined based on the mechanical simulation results of the battery. Determining the failure threshold of each aging failure mode according to the mechanical design of the battery can make the final battery life extension strategy conform to the battery design characteristics and reduce the risk of abnormality of the battery during the service life that needs to be extended.

[0017] An embodiment of the second aspect of the present application provides a battery life extension device, including: a first module, used to determine multiple aging failure modes of a battery, each of the multiple aging failure modes respectively includes at least one failure adjustment parameter, and the at least one failure adjustment parameter is used to adjust the service life of the battery; a second module, used to determine the failure functions corresponding to the multiple aging failure modes respectively based on the at least one failure adjustment parameter of each aging failure mode in the multiple aging failure modes; a third module, used to determine the first adjustment strategies corresponding to the multiple aging failure modes respectively based on the failure functions corresponding to the multiple aging failure modes respectively and the predetermined failure thresholds corresponding to the multiple aging failure modes respectively, the failure threshold indicating the threshold of the battery state in the corresponding aging failure mode, and the first adjustment strategy is used to adjust at least one failure adjustment parameter of the corresponding aging failure mode; and a fourth module, used to determine the second adjustment strategy of the battery according to the first adjustment strategies corresponding to the multiple aging failure modes respectively, and adjust at least one failure adjustment parameter based on the second adjustment strategy to extend the service life of the battery.

[0018] An embodiment of the third aspect of the present application provides a computing device, comprising: at least one processor; and at least one memory communicatively connected to the at least one processor, the at least one memory storing instructions, which, when executed individually or collectively by the at least one processor, enable the computing device to execute the battery life extension method in the above-mentioned embodiment.

[0019] An embodiment of the fourth aspect of the present application provides a computer-readable storage medium storing instructions, which, when executed individually or collectively by one or more processors of a computing device, cause the computing device to execute the battery life extension method in the above-mentioned embodiment.

[0020] An embodiment of the fifth aspect of the present application provides a computer program product, comprising instructions, which, when executed individually or collectively by one or more processors of a computing device, cause the computing device to execute the battery life extension method in the above embodiment.

[0021] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] In the accompanying drawings, unless otherwise specified, the same reference numerals throughout the multiple drawings represent the same or similar parts or elements. These drawings are not necessarily drawn to scale. It should be understood that these drawings only depict some embodiments disclosed in the present application and should not be regarded as limiting the scope of the present application.

[0023] Figure 1 A flowchart of a method for extending battery life according to some embodiments of the present application;

[0024] Figure 2 A schematic diagram of a process for determining a failure function corresponding to an aging failure mode in some embodiments of the present application;

[0025] Figure 3 A schematic diagram of a process for determining a failure function corresponding to an aging failure mode in some embodiments of the present application;

[0026] Figure 4 A schematic diagram of a process for determining a first adjustment strategy corresponding to an aging failure mode in some embodiments of the present application;

[0027] Figure 5 A schematic diagram of a process for determining a first adjustment strategy corresponding to an aging failure mode in some embodiments of the present application;

[0028] Figure 6 A schematic block diagram of a battery life extension device according to some embodiments of the present application;

[0029] Figure 7 A schematic block diagram of a computing device according to some embodiments of the present application. DETAILED DESCRIPTION

[0030] The following embodiments of the technical solution of the present application are described in detail in conjunction with the accompanying drawings. The following embodiments are only used to more clearly illustrate the technical solution of the present application, and are therefore only used as examples, and cannot be used to limit the scope of protection of the present application.

[0031] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by technicians in the technical field to which this application belongs; the terms used herein are only for the purpose of describing specific embodiments and are not intended to limit this application; the terms "including" and "having" in the specification and claims of this application and the above-mentioned figure descriptions and any variations thereof are intended to cover non-exclusive inclusions.

[0032] In the description of the embodiments of the present application, the technical terms "first", "second", etc. are only used to distinguish different objects, and cannot be understood as indicating or implying relative importance or implicitly indicating the number, specific order or primary and secondary relationship of the indicated technical features. In the description of the embodiments of the present application, the meaning of "multiple" is more than two, unless otherwise clearly and specifically defined.

[0033] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present application. The appearance of the phrase in various locations in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0034] In the description of the embodiments of the present application, the term "and / or" is only a description of the association relationship of the associated objects, indicating that there may be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in this article generally indicates that the associated objects before and after are in an "or" relationship.

[0035] In the description of the embodiments of the present application, the term "multiple" refers to more than two (including two). Similarly, "multiple groups" refers to more than two groups (including two groups), and "multiple pieces" refers to more than two pieces (including two pieces).

[0036] In the description of the embodiments of the present application, the technical terms "center", "longitudinal", "lateral", "length", "width", "thickness", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", "clockwise", "counterclockwise", "axial", "radial", "circumferential", etc. indicate orientations or positional relationships based on the orientations or positional relationships shown in the accompanying drawings, which are only for the convenience of describing the embodiments of the present application and simplifying the description, and do not indicate or imply that the referred device or element must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as a limitation on the embodiments of the present application.

[0037] In the description of the embodiments of the present application, unless otherwise clearly specified and limited, technical terms such as "installed", "connected", "connected", "fixed" and the like should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium, and it can be the internal connection of two elements or the interaction relationship between two elements. For those of ordinary skill in the art, the specific meanings of the above terms in the embodiments of the present application can be understood according to the specific circumstances.

[0038] At present, from the perspective of market development, the application of power batteries is becoming more and more extensive. Power batteries are not only used in energy storage power systems such as hydropower, thermal power, wind power and solar power stations, but also widely used in electric vehicles such as electric bicycles, electric motorcycles, electric cars, as well as military equipment and aerospace and other fields. With the continuous expansion of the application field of power batteries, the market demand is also constantly expanding.

[0039] As the battery ages, the byproducts of the electrochemical reaction inside the battery gradually accumulate, and the battery will gradually age, and may even cause problems such as battery structure failure, explosion-proof valve blowout, and thermal runaway. How to reasonably delay the aging of the battery and extend the safe service life of the battery has a vital impact on the development of battery technology.

[0040] At present, the upper limit state of charge (SOC) of the battery is usually regulated according to the change process of the battery's expansion force. As the vehicle's mileage increases, the battery's expansion force will gradually increase. By reducing the upper limit SOC of the charge, the battery life can be extended.

[0041] However, in addition to the change in expansion force, there are various other factors that will cause battery aging during battery use. In addition, only adjusting the upper limit SOC may not achieve a good life extension effect due to the single adjustment method. For example, in order to extend the service life, the upper limit SOC may be reduced to a lower value, which cannot meet user needs.

[0042] In order to obtain a more comprehensive and sophisticated battery life extension strategy, multiple aging failure modes of the battery can be considered when determining the strategy, and the failure adjustment parameters under each aging failure mode can be reasonably set. The battery life extension strategy obtained using such a determination method comprehensively considers various influencing factors of battery aging failure, and reasonably sets various failure adjustment parameters, so that the battery life can be extended more accurately and flexibly.

[0043] The battery life extension method disclosed in the embodiment of the present application can be used, but not limited to, in batteries used in electrical devices such as vehicles, ships or aircraft. The battery life extension method disclosed in the present application can be used, which is conducive to obtaining a more comprehensive and sophisticated battery life extension strategy and effectively improving the safe service life of the battery.

[0044] The present application embodiment provides a method for extending battery life. Figure 1 The battery life extension method 100 includes steps 110 to 140 .

[0045] Step 110, determining multiple aging failure modes of the battery. Each of the multiple aging failure modes includes at least one failure adjustment parameter. The at least one failure adjustment parameter is used to adjust the service life of the battery.

[0046] Step 120 : determining failure functions corresponding to the plurality of aging failure modes respectively based on at least one failure adjustment parameter of each of the plurality of aging failure modes.

[0047] Step 130, based on the failure functions corresponding to the multiple aging failure modes and the predetermined failure thresholds corresponding to the multiple aging failure modes, determine the first adjustment strategies corresponding to the multiple aging failure modes. The failure threshold indicates the threshold of the battery state of the battery in the corresponding aging failure mode. The first adjustment strategy is used to adjust at least one failure adjustment parameter of the corresponding aging failure mode.

[0048] Step 140: Determine a second adjustment strategy for the battery according to the first adjustment strategies corresponding to the plurality of aging failure modes, and adjust at least one failure adjustment parameter based on the second adjustment strategy to extend the service life of the battery.

[0049] In the embodiments of the present application, the term "battery" may include a battery cell, or a series, parallel or hybrid structure of multiple battery cells (eg, a battery pack or a battery module).

[0050] As the battery is used, the battery will gradually age and even have the risk of failure. In step 110, multiple aging failure modes can be determined based on factors such as the characteristics and working principle of the battery. For example, the battery may have an expansion force aging failure mode, a battery gas aging failure mode, a sealing aging failure mode, etc. The expansion force aging failure mode and the battery gas aging failure mode are mainly caused by chemical reactions occurring during battery operation. Since the battery is charged and discharged through internal chemical reactions, these chemical reactions may be accompanied by some side reactions and by-products during the storage and charging and discharging of the battery. Some solid by-products will accumulate at the pole piece of the battery, causing the pole piece thickness to gradually increase, causing extrusion and deformation of the battery structure, causing the battery to age or even fail. This process is the expansion force aging failure mode. Some gaseous by-products will be sealed inside the battery, causing the gas pressure inside the battery to gradually increase, and may even cause the battery's explosion-proof valve to open and leak, etc. This process is the battery gas aging failure mode. As the battery is used, for example, after it is installed in a vehicle, the structural parts in the battery may be deformed and damaged due to the constant vibration and impact during driving. At the same time, the ambient temperature and humidity will also affect the structural parts. For example, the seals made of polymer materials may be oxidized and decomposed or corroded, resulting in the degradation of the battery sealing performance or even failure. This process is the seal aging failure mode.

[0051] For each aging failure mode, there are failure adjustment parameters that can be set. According to the different generation principles, by adjusting one or several failure adjustment parameters, the aging degree of the battery can be improved and the battery life can be extended. For example, for the expansion force aging failure mode and / or the battery gas generation aging failure mode, the failure adjustment parameters may include the battery state of charge SOC (i.e., the ratio of the available power in the battery to the nominal capacity of the battery, also known as the remaining power), battery temperature, etc. By reducing the battery SOC or lowering the battery temperature, the aging process of the battery can be delayed; for the sealing aging failure mode, the failure adjustment parameters may include the battery temperature, etc. By lowering the battery temperature, the aging degree of the battery structure can be reduced. It should be understood that the failure adjustment parameters are related to the generation principle of the aging failure mode. In different aging failure modes, completely different failure adjustment parameters may be included, or completely or partially the same failure adjustment parameters may be included.

[0052] For each aging failure mode, there is a corresponding failure function. The failure function reflects the corresponding relationship between the aging degree of the battery and the related influencing factors under the aging failure mode. The specific process of determining the failure function will be described in detail below.

[0053] For each aging failure mode, there is also a corresponding failure threshold. The failure threshold indicates the threshold of a battery state in the aging mode. For example, for the expansion force aging failure mode, due to the accumulation of solid byproducts of chemical reactions, the thickening of the pole piece produces an expansion force that squeezes the battery structure, and the corresponding failure threshold represents the threshold of the expansion force that the battery can withstand; for the battery gas production aging failure mode, due to the gaseous byproducts of chemical reactions, the internal air pressure of the battery rises, and the corresponding failure threshold represents the threshold of the internal air pressure that the battery can withstand; for the sealing aging failure mode, due to the aging of the seal, the sealing performance of the battery will decrease, and the corresponding failure threshold represents the threshold of the sealing performance when the battery can work normally. In step 130, according to the failure function and failure threshold corresponding to each aging failure mode, the first adjustment strategy in the aging failure mode can be determined. In the first adjustment strategy, one or several failure adjustment parameters of the aging failure mode will be adjusted to delay the aging process of the battery. The specific process of determining the first adjustment strategy will be described in detail below.

[0054] In step 140, since there are multiple aging failure modes of the battery, after determining the first adjustment strategy corresponding to each aging failure mode, i.e., the adjustment method of the failure adjustment parameter, the failure adjustment parameters in different aging failure modes can be comprehensively considered, and finally the adjustment method of each failure adjustment parameter can be determined to obtain the second adjustment strategy. Each failure adjustment parameter is adjusted according to the second adjustment strategy, thereby extending the service life of the battery.

[0055] Considering multiple aging failure modes of the battery, the first adjustment strategy for extending the battery life is determined for the failure function and failure threshold of each aging failure mode, and each failure adjustment parameter is adjusted. Based on the first adjustment strategy under each aging failure mode, the second adjustment strategy for extending the battery life is finally determined. Since the influence of different aging failure modes of the battery on the battery life is taken into consideration when determining the strategy, a more comprehensive and detailed battery life extension strategy can be determined, effectively improving the safe service life of the battery.

[0056] According to some embodiments of the present application, reference Figure 2 , step 120 includes steps 210 to 220.

[0057] For any of the multiple aging failure modes:

[0058] Step 210, determining the failure evaluation factor and at least one failure influencing factor corresponding to the aging failure mode. The failure evaluation factor is used to indicate the aging degree of the battery. The at least one failure influencing factor is used to indicate the factor causing the battery aging.

[0059] Step 220: determining a failure function corresponding to the aging failure mode according to the failure evaluation factor, at least one failure influencing factor and at least one failure adjustment parameter.

[0060] The failure evaluation factor may indicate the degree of battery aging. For example, for the expansion force aging failure mode, the failure evaluation factor may be the battery's expansion force; for the battery gas generation aging failure mode, the failure evaluation factor may be the battery's internal gas pressure; for the sealing aging failure mode, the failure evaluation factor may be the battery's sealing performance.

[0061] Failure influencing factors may include any factors that may cause battery aging. In one example, for a battery used in a vehicle, failure influencing factors may include the vehicle's mileage, the vehicle's usage time, etc. In another example, failure influencing factors may also include the battery's state of health (SOH), that is, the percentage of the battery's current capacity to its capacity when it leaves the factory.

[0062] For each aging failure mode, after determining the failure evaluation factors, failure influencing factors and failure adjustment parameters, the corresponding failure function can be further determined.

[0063] Determining the failure function of each aging failure mode based on the failure evaluation factors and failure influencing factors under different aging failure modes can make the final failure function more consistent with the actual aging process of the battery, accurately simulate the actual state of the battery, and thus obtain a more accurate life extension strategy.

[0064] According to some embodiments of the present application, reference Figure 3 , step 220 includes steps 310 to 330.

[0065] Step 310, obtaining multiple failure evaluation factor sampling values ​​of the battery in the aging failure mode. The multiple failure evaluation factor sampling values ​​indicate the numerical values ​​corresponding to the failure evaluation factors of the battery in multiple predetermined sampling states.

[0066] Step 320, obtaining multiple failure influencing factor sampling values ​​corresponding to each failure influencing factor of at least one failure influencing factor of the battery in the aging failure mode. The multiple failure influencing factor sampling values ​​indicate the numerical values ​​corresponding to the failure influencing factor of the battery in multiple sampling states.

[0067] Step 330 , determining a failure function corresponding to the aging failure mode according to a plurality of failure evaluation factor sampling values, a plurality of failure influencing factor sampling values ​​corresponding to each failure influencing factor of at least one failure influencing factor, and at least one failure adjustment parameter.

[0068] Before determining the failure function, multiple sampling states of the battery can be predetermined. The sampling state can be determined based on factors such as test requirements and battery performance. For example, multiple sampling states of the battery can be determined as the battery usage time reaches certain specific durations (for example: the usage time reaches one month, two months, half a year, one year, etc.), or multiple sampling states of the battery can be determined as the battery state of charge reaches certain specific values ​​(for example: the state of charge is 100%, 75%, 50%, 30%, etc.), or multiple sampling states of the battery can be determined as the battery voltage and other parameters reach certain specific values. In some embodiments, multiple sampling states of the battery can also be predetermined based on a combination of multiple factors. For example, multiple sampling states of the battery can be determined as the battery usage time reaches certain specific durations and the mileage of the vehicle using the battery reaches certain specific values. The present disclosure does not limit the method for determining the sampling state.

[0069] Take the expansion force aging failure mode as an example to illustrate:

[0070] For the expansion force aging failure mode, the corresponding failure evaluation factor is the expansion force (hereinafter referred to as SwellingForce), and the failure influencing factors include the vehicle's mileage (hereinafter referred to as Cycle) and usage time (hereinafter referred to as Time), which can be sampled in multiple sampling states to obtain sampling values. For example, sampling state 1 is the state where the mileage is Cycle1 and the usage time is Time1. When the mileage is Cycle1 and the usage time is Time1, the corresponding expansion force sampling value Swelling Force1 can be obtained; sampling state 2 is the state where the mileage is Cycle2 and the usage time is Time2. When the mileage is Cycle2 and the usage time is Time2, the corresponding expansion force sampling value Swelling Force2 can be obtained, and so on.

[0071] At the same time, taking the failure adjustment parameters as the battery state of charge (hereinafter referred to as SOC) and the battery temperature (hereinafter referred to as Temp) as an example, in each state, the relationship between the failure evaluation factor and the failure adjustment parameter can also be determined separately. For example, for the mileage mentioned above as Cycle1 and the use time as Time1, at a certain specific state of charge (for example: when SOC0 is 100%), the expansion force sampling value corresponding to the temperature of Temp1, the expansion force sampling value corresponding to the temperature of Temp2, and the expansion force sampling value Swelling Force1-2 are obtained, and so on. Or at a predetermined temperature (for example: when Temp0 is 25 degrees Celsius), the expansion force sampling value corresponding to the state of charge of SOC1, the expansion force sampling value corresponding to the state of charge of SOC2, and the expansion force sampling value Swelling Force1-1' are obtained, and the expansion force sampling value corresponding to the state of charge of SOC2, and the expansion force sampling value Swelling Force1-2' are obtained, and so on.

[0072] When multiple groups of corresponding failure evaluation factors, failure influencing factors and failure adjustment parameters are obtained, the failure function of the aging failure mode can be determined accordingly. Continuing with the example mentioned above, assuming that the failure function corresponding to the expansion force aging failure mode is f (), it can be obtained:

[0073] Swelling Force1-1=f(Cycle1, Time1, Temp1, SOC0);

[0074] Swelling Force1-2=f(Cycle1, Time1, Temp2, SOC0);

[0075] …

[0076] Swelling Force1-1'=f(Cycle1, Time1, Temp0, SOC1);

[0077] Swelling Force1-2'=f(Cycle1, Time1, Temp0, SOC2);

[0078] …

[0079] Swelling Force2-1=f(Cycle2, Time2, Temp1, SOC0);

[0080] Swelling Force2-2=f(Cycle2, Time2, Temp2, SOC0);

[0081] …

[0082] Swelling Force2-1'=f(Cycle2, Time2, Temp0, SOC1);

[0083] Swelling Force2-2'=f(Cycle2, Time2, Temp0, SOC2);

[0084] …

[0085] In some embodiments, the final failure function can be obtained according to the above-mentioned multiple sampling values ​​and a specific fitting rule:

[0086] Swelling Force=f(Cycle, Time, Temp, SOC),

[0087] Where Swelling Force is the expansion force, Cycle is the mileage, Time is the usage time, Temp is the battery temperature, and SOC is the battery state of charge.

[0088] For different batteries, the failure function can be a function of different forms according to the working principle of the battery and other factors. For example, for the above-mentioned expansion force aging failure mode corresponding to the failure function f ():

[0089] For some batteries, the relationship between the Swelling Force and the usage time Time can be approximately described as follows: when the usage time Time does not exceed the predetermined time, the Swelling Force and the usage time Time are approximately linearly positively correlated; and when the usage time Time exceeds the predetermined time, the Swelling Force may approach a certain stable value;

[0090] For some other batteries, the relationship between the swelling force Swelling Force and the usage time Time can be approximately described as a quadratic function, that is, when the usage time Time is short, the growth of the swelling force Swelling Force is relatively slow, and as the usage time Time gradually increases, the swelling force Swelling Force will accelerate.

[0091] Similarly, for some batteries, the relationship between the swelling force Swelling Force and the mileage Cycle can be approximately described as a linear relationship, that is, as the mileage Cycle increases, the swelling force Swelling Force will increase linearly; for other batteries, the relationship between the swelling force Swelling Force and the mileage Cycle may also show a nonlinear relationship.

[0092] It should be understood that the above-mentioned failure evaluation factor sampling values, failure influencing factor sampling values, and failure adjustment parameters are exemplary. In other embodiments, they can also be obtained by other methods according to usage requirements, and the present disclosure does not limit this. In addition, the failure function mentioned above is also only exemplary. According to the failure evaluation factor sampling values, the failure influencing factor sampling values, and the failure adjustment parameters, different forms of failure functions will be obtained. The present disclosure does not limit the form of the failure function.

[0093] In some embodiments, a batch of batteries of the same model may be sampled separately to increase the number of samples and obtain a more accurate failure function.

[0094] Under multiple sampling states of a certain aging failure mode, sampling values ​​of failure evaluation factors and failure influencing factors are determined respectively, so that a more accurate failure function can be obtained based on these sampling values.

[0095] According to some embodiments of the present application, each of the at least one failure adjustment parameter comprises an initial failure adjustment parameter value, wherein the initial failure adjustment parameter value is predetermined based on battery performance of the battery.

[0096] During the battery design process, an initial value is set for each failure adjustment parameter. For example, for the failure adjustment parameters SOC and Temp, the initial value of SOC can be set to 100%, that is, the available power of the battery is equal to the nominal power; the initial value of Temp can be set to the rated operating temperature of the battery, or it can also be set according to the battery usage scenario, for example, the initial value of Temp can be set to the highest temperature Temp Max in the driving area of ​​the vehicle using the battery, etc.

[0097] These initial failure adjustment parameter values ​​are determined based on factors such as battery performance and battery usage scenarios. In some embodiments, when the battery leaves the factory, the failure adjustment parameters of the battery are all set to the corresponding initial failure adjustment parameter values.

[0098] Determining the initial failure adjustment parameter value according to the performance of the battery can put the battery in a safe and stable initial state, which is beneficial to increasing the safe service life of the battery.

[0099] According to some embodiments of the present application, reference Figure 4 , step 130 includes steps 410 to 420.

[0100] For any of the multiple aging failure modes:

[0101] Step 410: Determine a first service life of the battery according to the failure function, the failure threshold, and the initial failure adjustment parameter value corresponding to the at least one failure adjustment parameter. The first service life indicates the service life of the battery when the at least one failure adjustment parameter is set to the corresponding initial failure adjustment parameter value.

[0102] Step 420: Determine a first adjustment strategy corresponding to the aging failure mode according to a second service life and a first service life of the battery which are preset. The second service life is greater than the first service life.

[0103] Let's continue to use the expansion force aging failure mode as an example:

[0104] As mentioned above, the failure function corresponding to the expansion force aging failure mode is Swelling Force = f (Cycle, Time, Temp, SOC). The failure threshold of the expansion force is predetermined as Fmax.

[0105] When determining the first service life of the battery, it can be determined based on the typical usage conditions of the battery. In one example, the battery is used in a vehicle, and the typical usage conditions can be determined based on the average daily mileage of users using the vehicle. For example, it can be determined based on the average daily mileage W of the 90th percentile user of the vehicle's average daily mileage (that is, 90% of the users' average daily mileage is less than or equal to the average daily mileage W). At this time, the relationship between the mileage Cycle and the usage time Time can be expressed by the following:

[0106] W=Cycle / Time.

[0107] Therefore, the Cycle in the failure function can be represented by Time, and the relationship between the expansion force and the usage time can be obtained: Swelling Force = f (W×Time, Time, Temp, SOC).

[0108] In one example, the initial value of SOC is set to 100%, and the initial value of Temp is set to the maximum temperature Temp Max of the driving area of ​​the vehicle using the battery. At the same time, assuming that the first service life is Time Max1, and the expansion force is equal to the failure threshold Fmax of the expansion force, substituting it into the above formula can be obtained:

[0109] Swelling Force=f(W×Time Max1, Time Max1, Temp Max, 100%)=Fmax.

[0110] Since the average daily mileage W, the maximum temperature Temp Max, the state of charge 100%, and the failure threshold Fmax of the expansion force are all known, the use time Time Max1, that is, the first service life of the battery, can be calculated according to the above formula. In the first service life, the battery can work normally with the initial failure adjustment parameter value, for example, work normally with the state of charge of 100%.

[0111] The second service life may be the expected service life of the battery. Since users usually expect the battery to be used as long as possible, the expected service life is often longer than the first service life. In this case, the failure adjustment parameters of the battery need to be adjusted so that the battery can work safely and normally during the expected service life.

[0112] The adjustment strategy is determined according to the safe service life of the battery in the initial state and the expected service life of the battery. Different adjustment methods can be used for different stages of the battery to obtain a more accurate and flexible adjustment strategy.

[0113] According to some embodiments of the present application, reference Figure 5 , step 420 includes steps 510 to 520.

[0114] Step 510: Determine the battery life that needs to be extended based on the second service life and the first service life.

[0115] Step 520: Determine, according to the second service life, the failure function and the failure threshold, a first failure adjustment parameter setting value corresponding to at least one failure adjustment parameter in the service life to be extended.

[0116] In step 510 , the required extended life of the battery may be equal to the second service life minus the first service life.

[0117] In an embodiment of the present application, the first failure adjustment parameter setting value is used to set the failure adjustment parameter, that is, according to the first adjustment strategy, the specific value of a failure adjustment parameter can be set to the first failure adjustment parameter setting value corresponding to the failure adjustment parameter determined in the first adjustment strategy.

[0118] Let's continue to use the expansion force aging failure mode mentioned above as an example:

[0119] As mentioned above, the failure function corresponding to the expansion force aging failure mode is Swelling Force = f (Cycle, Time, Temp, SOC). The failure threshold of the expansion force is determined to be Fmax. Let the expansion force be equal to the failure threshold of the expansion force Fmax, the service life be the second service life Time Max2, the battery temperature is still set to the highest temperature Temp Max of the driving area of ​​the vehicle using the battery, and assume that the first failure adjustment parameter setting value corresponding to the state of charge SOC is SOC set, that is:

[0120] Swelling Force=f(W×Time Max2, Time Max2, Temp Max, SOC set)=Fmax.

[0121] Since the average daily mileage W, the maximum temperature Temp Max, the second service life Time Max2, and the failure threshold Fmax of the expansion force are all known, the state of charge SOC set calculated according to the above formula is the set value corresponding to the state of charge in the life to be extended.

[0122] It should be noted that the battery life can be expressed by the usage time or the mileage.

[0123] In another example, the first service life is represented by the mileage Cycle Max1, and the second service life is represented by the mileage Cycle Max2. In this example, the service time Time can be represented by the mileage Cycle and the average daily mileage W, and the set value corresponding to the state of charge in the life to be extended can be determined according to the following formula:

[0124] Swelling Force=f(Cycle Max2, Cycle Max2 / W, Temp Max, SOC set)=Fmax.

[0125] In another example, the battery life can be represented by the usage time and the mileage, that is, the first life is represented by the usage time Time Max1 and the mileage Cycle Max1, and the second life is represented by the usage time Time Max2 and the mileage Cycle Max2. In this example, the set value corresponding to the state of charge in the life to be extended can be determined according to the following formula:

[0126] Swelling Force=f(Cycle Max2, Time Max2, Temp Max, SOC set)=Fmax.

[0127] It should be understood that the above process for determining the state of charge SOC is merely exemplary. In other embodiments, the first failure adjustment parameter setting values ​​of other failure adjustment parameters may also be determined, such as the setting value of the battery temperature Temp, etc. The first failure adjustment parameter setting values ​​of multiple failure adjustment parameters may also be determined simultaneously.

[0128] When the battery is working in a state where its life span needs to be extended, the set values ​​of various failure adjustment parameters are determined so that the battery can work safely and stably within the desired extended working time, thereby improving the safety of the battery.

[0129] According to some embodiments of the present application, a first adjustment strategy corresponding to any one of the plurality of aging failure modes includes:

[0130] When the battery is in the first service life, determining at least one failure adjustment parameter in the aging failure mode as an initial failure adjustment parameter value respectively corresponding thereto;

[0131] When the battery is within the second service life and not within the first service life, at least one failure adjustment parameter in the aging failure mode is determined as a first failure adjustment parameter setting value respectively corresponding thereto.

[0132] As described above, when the battery is in the first service life, the battery can work with the initial failure adjustment parameter value. When the battery life needs to be extended to the second service life, the failure adjustment parameter of the battery needs to be set to the corresponding first failure adjustment parameter setting value during the extended life.

[0133] Let's continue with the adjustment method mentioned above as an example:

[0134] When the battery is in the first service life, the battery temperature Temp is set to an initial value, ie, the maximum temperature Temp Max of the driving area of ​​the vehicle using the battery, and the battery state of charge SOC is set to an initial value, ie, 100%.

[0135] When the battery is in the second service life and not in the first service life, that is, in the state where the service life needs to be extended, according to the first failure adjustment parameter setting value obtained above, the battery temperature Temp can still be set to the maximum temperature Temp Max of the driving area of ​​the vehicle using the battery, and the battery state of charge SOC is set to the set value SOC set corresponding to the state of charge in the state of service life that needs to be extended.

[0136] When the battery is in its first service life or needs to extend its life, different adjustment methods can be used according to the different stages of the battery. This can reasonably design a battery life extension strategy and effectively delay the battery aging process.

[0137] According to some embodiments of the present application, step 140 includes:

[0138] For any of the at least one failed tuning parameter:

[0139] A second failure adjustment parameter setting value corresponding to the failure adjustment parameter under a second adjustment strategy is determined according to a minimum value among first failure adjustment parameter setting values ​​corresponding to the failure adjustment parameter under first adjustment strategies corresponding to a plurality of aging failure modes.

[0140] In an embodiment of the present application, similar to the first failure adjustment parameter setting value, the second failure adjustment parameter setting value is also used to set the failure adjustment parameter, that is, according to the second adjustment strategy, the specific value of a failure adjustment parameter can be set to the second failure adjustment parameter setting value corresponding to the failure adjustment parameter determined in the second adjustment strategy.

[0141] For multiple aging failure modes, there may be the same failure adjustment parameters. For example, for the expansion force aging failure mode and the battery gas generation aging failure mode, the service life can be extended by adjusting the battery state of charge SOC and / or the battery temperature Temp.

[0142] Take multiple aging failure modes including expansion force aging failure mode and battery gas generation aging failure mode as examples to illustrate:

[0143] As shown above, for the expansion force aging failure mode, the corresponding failure function is:

[0144] Swelling Force=f(Cycle, Time, Temp, SOC).

[0145] For the battery gas aging failure mode, the corresponding failure function f' ( ) can be obtained in a similar way as follows:

[0146] Pressure=f'(Cycle, Time, Temp, SOC),

[0147] Where Pressure is the internal pressure of the battery, Cycle is the mileage, Time is the usage time, Temp is the temperature of the battery, and SOC is the state of charge of the battery.

[0148] Assume that the second service life of the battery is represented by the usage time Time Max2, the battery temperature Temp is set to the maximum temperature Temp Max of the driving area of ​​the vehicle using the battery, the failure threshold of the swelling force Swelling Force is Fmax, and the failure threshold of the battery's internal pressure Pressure is Gmax.

[0149] As described above, for the expansion force aging failure mode, the first failure adjustment parameter setting value SOC set1 corresponding to the state of charge SOC can be calculated according to the following formula:

[0150] Swelling Force=f(W×Time Max2, Time Max2, Temp Max, SOC set1)=Fmax.

[0151] Similarly, for the battery gassing aging failure mode, the first failure adjustment parameter setting value SOC set2 corresponding to the state of charge SOC can be calculated according to the following formula:

[0152] Pressure=f'(W×Time Max2, Time Max2, Temp Max, SOC set2)=Gmax.

[0153] After obtaining the first failure adjustment parameter setting values ​​SOC set1 and SOC set2 corresponding to the state of charge SOC in the two aging failure modes, the minimum value can be used as the setting value of the state of charge SOC under the second adjustment strategy, that is, the state of charge SOC of the battery is set to the minimum value, thereby extending the battery life. Using the minimum value can simultaneously meet the requirements of delaying the expansion force aging failure process and the battery gas generation aging failure process.

[0154] Similarly, when multiple aging failure modes include the same failure adjustment parameter, after obtaining the first failure adjustment parameter setting value of the failure adjustment parameter under each aging failure mode, the minimum value therein can be used as the final setting value of the failure adjustment parameter, that is, the second failure adjustment parameter setting value corresponding to the failure adjustment parameter under the second adjustment strategy.

[0155] After determining the first adjustment strategy corresponding to each aging failure mode, for the failure adjustment parameter therein, the second failure adjustment parameter setting value in the adjustment strategy for extending the battery life that is finally used is determined according to the minimum value of the setting values ​​under different aging failure modes. This can ensure that the second failure adjustment parameter setting value can meet the adjustment strategies of different aging failure modes and effectively extend the battery life.

[0156] According to some embodiments of the present application, step 520 includes:

[0157] For any of the at least one failed tuning parameter:

[0158] When other failure adjustment parameters except the failure adjustment parameter in at least one failure adjustment parameter are set to their corresponding initial failure adjustment parameter values, a first failure adjustment parameter setting value corresponding to the failure adjustment parameter is determined according to the second service life, the failure function and the failure threshold.

[0159] Continuing with the expansion force aging failure mode mentioned above as an example, as described above, when determining the first failure adjustment parameter setting value of the state of charge SOC, the battery temperature Temp can be set to the initial value, that is, the maximum temperature Temp Max of the driving area of ​​the vehicle using the battery. At this time, only one failure adjustment parameter (for example: state of charge SOC) setting value needs to be determined. If only adjusting this failure adjustment parameter can meet the requirement of extending the battery life, there is no need to continue adjusting other failure adjustment parameters.

[0160] When determining the set value of any failure adjustment parameter, other failure adjustment parameters may be set as initial failure adjustment parameter values, so that the number of parameters to be determined can be reduced as much as possible when determining the first adjustment strategy, thereby simplifying the determination process.

[0161] According to some embodiments of the present application, step 520 further includes:

[0162] For any of the at least one failed tuning parameter:

[0163] In response to a first failure adjustment parameter setting value corresponding to the failure adjustment parameter not satisfying a first state condition, first failure adjustment parameter setting values ​​corresponding to other failure adjustment parameters in at least one failure adjustment parameter except the failure adjustment parameter are determined according to the first failure adjustment parameter setting value corresponding to the failure adjustment parameter, the second service life, the failure function and the failure threshold.

[0164] The first state condition may refer to the battery state when the user can get a better user experience. For example, for the state of charge SOC, the first state condition may be that the state of charge SOC is greater than or equal to 60%. When the battery SOC does not meet this condition, the battery life experience will be greatly affected due to the low power. For the temperature Temp, the first state condition may be that the temperature Temp ≥ 0 degrees Celsius. Since the battery temperature Temp is usually the temperature of the vehicle where the battery is located and can be regulated by the vehicle's thermal management strategy, when the temperature Temp is too low, the vehicle temperature also needs to be set to a lower temperature, which will also affect the user's experience.

[0165] In some embodiments, when other failure adjustment parameters are set to initial failure adjustment parameter values ​​and only one failure adjustment parameter is adjusted, if the obtained first failure adjustment parameter setting value does not meet the first state condition, for example, the first failure adjustment parameter setting value corresponding to the state of charge SOC is only 30%, or the first failure adjustment parameter setting value corresponding to the temperature Temp is -5 degrees Celsius, it indicates that adjusting only one failure adjustment parameter cannot meet user needs well, and other failure adjustment parameters need to be adjusted at the same time.

[0166] In one example, for the expansion force aging failure mode, assuming that the first failure adjustment parameter setting value corresponding to the state of charge SOC is 30%, and the first state condition is that the state of charge SOC is greater than or equal to 60%, at this time, the first failure adjustment parameter setting value of the state of charge SOC can be determined as 70%, and substituted into the failure function above:

[0167] Swelling Force= f (Cycle, Time, Temp, SOC) = f (W × Time Max2, Time Max2, Tempset, 70%) = Fmax.

[0168] Since the average daily mileage W, the second service life Time Max2, the state of charge 70%, and the failure threshold Fmax of the expansion force are all known, the first failure adjustment parameter setting value Temp set corresponding to the battery temperature Temp can be calculated according to the above formula.

[0169] In this example, the first failure adjustment parameter setting value corresponding to the state of charge SOC can be determined as 70%, and the first failure adjustment parameter setting value corresponding to the battery temperature Temp can be determined as Temp set. The battery life can be extended by using a combination of the state of charge SOC and the battery temperature Temp.

[0170] In other embodiments, if there are more failure adjustment parameters, the above steps may be performed for each failure adjustment parameter in turn to obtain the first failure adjustment parameter setting value that ultimately corresponds to each failure adjustment parameter.

[0171] When the setting value of a single failure adjustment parameter is not effective, further determining the setting values ​​of other failure adjustment parameters can simplify the adjustment strategy determination process and improve the adjustment effect, so that the battery can extend its service life while improving the user experience as much as possible.

[0172] According to some embodiments of the present application, the failure threshold is predetermined based on mechanical simulation results of the battery.

[0173] For the failure threshold under each aging failure mode, a mechanical simulation can be performed on the structural model of the battery to obtain the accurate failure threshold corresponding to the aging failure mode.

[0174] By determining the failure thresholds of various aging failure modes based on the mechanical design of the battery, the final battery life extension strategy can be made consistent with the battery design characteristics, reducing the risk of abnormalities occurring during the battery's service life that needs to be extended.

[0175] Based on the same technical concept, the embodiment of the present application provides a battery life extension device. The embodiment of the battery life extension device can refer to the embodiment of the battery life extension method, and the repeated parts will not be repeated. Figure 6 The battery life extension device 600 includes a first module 610 , a second module 620 , a third module 630 and a fourth module 640 .

[0176] The first module 610 is used to determine multiple aging failure modes of the battery. Each of the multiple aging failure modes includes at least one failure adjustment parameter. The at least one failure adjustment parameter is used to adjust the service life of the battery.

[0177] The second module 620 is used to determine failure functions corresponding to the multiple aging failure modes respectively based on at least one failure adjustment parameter of each of the multiple aging failure modes.

[0178] The third module 630 is used to determine the first adjustment strategies corresponding to the multiple aging failure modes respectively based on the failure functions corresponding to the multiple aging failure modes respectively and the predetermined failure thresholds corresponding to the multiple aging failure modes respectively. The failure threshold indicates the threshold of the battery state of the battery in the corresponding aging failure mode. The first adjustment strategy is used to adjust at least one failure adjustment parameter of the corresponding aging failure mode.

[0179] The fourth module 640 is used to determine a second adjustment strategy for the battery according to the first adjustment strategies respectively corresponding to the plurality of aging failure modes, and to adjust at least one failure adjustment parameter based on the second adjustment strategy to extend the service life of the battery.

[0180] The first module 610, the second module 620, the third module 630 and the fourth module 640 in the battery life extension device 600 may correspond to steps 110 to 140 in the battery life extension method 100, and for the sake of brevity, they are not described here in detail. It should be understood that, corresponding to the embodiment of the battery life extension method 100, the embodiment of the battery life extension device 600 may further include more modules.

[0181] It should be noted that the functions of the various modules discussed herein can be divided into multiple modules, and / or at least some functions of multiple modules can be combined into a single module. The specific module discussed herein performing an action includes the specific module itself performing the action, or alternatively the specific module calling or otherwise accessing another component or module that performs the action (or performs the action in conjunction with the specific module). Therefore, the specific module that performs an action can include the specific module itself that performs the action and / or another module that the specific module calls or otherwise accesses and performs the action.

[0182] It should also be understood that various techniques may be described herein in the general context of software hardware elements or program modules. Figure 6 The various modules described can be implemented in hardware or in hardware in combination with software and / or firmware. For example, these modules can be implemented as computer program code / instructions, which are configured to be executed in one or more processors and stored in a computer-readable storage medium. Alternatively, these modules can be implemented as hardware logic / circuits. The hardware logic / circuit may include an integrated circuit chip (which includes a processor (e.g., a central processing unit (CPU), a microcontroller, a microprocessor, a digital signal processor (DSP), etc.), a memory, one or more communication interfaces, and / or one or more components in other circuits), and may optionally execute the received program code and / or include embedded firmware to perform functions.

[0183] The present application embodiment provides a computing device 700, such as Figure 7 shown. Figure 7 An example configuration of a computing device 700 that can be used to implement the battery life extension method 100 described herein is shown. For example, the battery life extension apparatus 600 described above can be implemented in whole or at least in part by the computing device 700 or a similar device or system.

[0184] The computing device 700 may include at least one processor 705, which can communicate with each other, such as through a bus 704 or other appropriate connection, a memory 707, (multiple) communication interfaces 702, a display device 701, other input / output (I / O) devices 703, and one or more mass storage devices 706. The memory 707 stores instructions, which, when executed by the processor 705, cause the processor 705 to perform the battery life extension method as in the above-mentioned embodiment.

[0185] The computing device 700 can be a variety of different types of devices. Examples of computing device 700 include, but are not limited to, a desktop computer, a server computer, a laptop or netbook computer, a mobile device (e.g., a tablet computer, a cellular or other wireless phone (e.g., a smart phone), a notepad computer, a mobile station), a wearable device (e.g., glasses, a watch), an entertainment device (e.g., an entertainment appliance, a set-top box communicatively coupled to a display device, a game console), a television or other display device, a car computer, and the like.

[0186] The processor 705 may be a single processing unit or multiple processing units, all of which may include a single or multiple computing units or multiple cores. The processor 705 may be implemented as one or more microprocessors, microcomputers, microcontrollers, digital signal processors, central processing units, state machines, logic circuits, and / or any device that manipulates signals based on operating instructions. Among other capabilities, the processor 705 may be configured to obtain and execute computer-readable instructions stored in the memory 707, mass storage device 706, or other computer-readable media, such as program codes of an operating system 708, program codes of an application program 709, program codes of other programs 710, and the like.

[0187] The memory 707 and the mass storage device 706 are examples of computer-readable storage media for storing instructions that are executed by the processor 705 to implement the various functions described above. For example, the memory 707 may generally include both volatile memory and non-volatile memory (e.g., RAM, ROM, etc.). In addition, the mass storage device 706 may generally include a hard drive, a solid-state drive, a removable medium, including external and removable drives, a memory card, a flash memory, a floppy disk, an optical disk (e.g., CD, DVD), a storage array, a network attached storage, a storage area network, etc. The memory 707 and the mass storage device 706 may all be collectively referred to herein as memory or computer-readable storage media, and may be a non-transitory medium capable of storing computer-readable, processor-executable program instructions as computer program code, which may be executed by the processor 705 as a specific machine configured to implement the operations and functions described in the examples herein.

[0188] A plurality of programs may be stored on the mass storage device 706. These programs include an operating system 708, one or more application programs 709, other programs 710, and program data 711, and they may be loaded into the memory 707 for execution. Examples of such application programs or program modules may include, for example, computer program logic (e.g., computer program code or instructions) for implementing the following components / functions: the battery life extension apparatus 600 (including the first module 610, the second module 620, the third module 630, and the fourth module 640), the battery life extension method 100 (including any suitable steps of the battery life extension method 100), and / or other embodiments described herein.

[0189] Although in Figure 7 700 , but operating system 708 , application programs 709 , other programs 710 , and program data 711 , or portions thereof, may be implemented using any form of computer-readable media accessible by computing device 700 .

[0190] One or more communication interfaces 702 are used to exchange data with other devices, such as through a network, direct connection, etc. Such communication interfaces can be one or more of the following: any type of network interface (e.g., a network interface card (NIC)), a wired or wireless (such as IEEE 802.11 wireless LAN (WLAN)) wireless interface, a Worldwide Interoperability for Microwave Access (Wi-MAX) interface, an Ethernet interface, a Universal Serial Bus (USB) interface, a cellular network interface, a Bluetooth™ interface, a Near Field Communication (NFC) interface, etc. The communication interface 702 can facilitate communication within a variety of network and protocol types, including wired networks (e.g., LAN, cable, etc.) and wireless networks (e.g., WLAN, cellular, satellite, etc.), the Internet, etc. The communication interface 702 can also provide communication with an external storage device (not shown) such as a storage array, a network attached storage, a storage area network, etc.

[0191] In some examples, a display device 701 such as a monitor may be included for displaying information and images to a user. Other I / O devices 703 may be devices that receive various inputs from a user and provide various outputs to the user, and may include a touch input device, a gesture input device, a camera, a keyboard, a remote control, a mouse, a printer, an audio input / output device, and the like.

[0192] The technology described herein can be supported by these various configurations of the computing device 700 and is not limited to the specific examples of the technology described herein. For example, the functionality can also be implemented in whole or in part on the "cloud" by using a distributed system. The cloud includes and / or represents a platform for resources. The platform abstracts the underlying functionality of the hardware (e.g., server) and software resources of the cloud. Resources may include applications and / or data that can be used when performing computing processing on a server away from the computing device 700. Resources may also include services provided over the Internet and / or through a subscriber network such as a cellular or Wi-Fi network. The platform can abstract resources and functions to connect the computing device 700 to other computer devices. Therefore, the implementation of the functions described herein can be distributed throughout the cloud. For example, the functions can be implemented partially on the computing device 700 and partially through a platform that abstracts the functions of the cloud.

[0193] An embodiment of the present application also provides a computer-readable storage medium having instructions stored thereon. When the instructions are executed individually or collectively by one or more processors of a computing device, the computing device executes a method as described in any of the above embodiments.

[0194] Computer-readable storage media include volatile and nonvolatile, removable and non-removable media implemented by any method or technology for storage of information, such as computer-readable instructions, data structures, program modules, or other data. Computer-readable storage media include, but are not limited to, RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, digital versatile disks (DVD), or other optical storage devices, magnetic cassettes, magnetic tapes, magnetic disk storage devices or other magnetic storage devices, or any other non-transmission media that can be used to store information for access by a computer device.

[0195] An embodiment of the present application also provides a computer program product, including instructions, which, when executed individually or collectively by one or more processors of a computing device, cause the computing device to execute a method as described in any of the above embodiments.

[0196] A specific embodiment of the present application is described below. It should be understood that this specific embodiment is described for illustrative purposes only and should not be interpreted as limiting the present application.

[0197] According to factors such as battery performance and working principle, multiple aging failure modes of the battery are determined. For each aging failure mode, at least one corresponding failure adjustment parameter is included, such as the battery state of charge SOC, the battery temperature Temp, etc. When the failure adjustment parameter is adjusted, the battery service life can be adjusted.

[0198] For each aging failure mode, determine the corresponding failure function. For the failure evaluation factors and failure influencing factors corresponding to the aging failure mode, obtain the failure evaluation factor sampling values ​​and failure influencing factor sampling values ​​of the battery under multiple sampling states respectively. According to multiple failure evaluation factor sampling values, multiple failure influencing factor sampling values ​​corresponding to each failure influencing factor, and at least one failure adjustment parameter, determine the failure function corresponding to the aging failure mode. Take the expansion force aging failure mode as an example:

[0199] The failure evaluation factor and failure influencing factor corresponding to the expansion force aging failure mode are respectively the expansion force Swelling Force and the vehicle's mileage Cycle and usage time Time. Sampling can be performed under multiple sampling states to obtain sampling values. For example, when the mileage is Cycle1 and the usage time is Time1, the corresponding expansion force sampling value Swelling Force1 can be obtained; when the mileage is Cycle2 and the usage time is Time2, the corresponding expansion force sampling value Swelling Force2 can be obtained, and so on.

[0200] The failure adjustment parameters of the expansion force aging failure mode include the battery state of charge SOC and the battery temperature Temp. In each state, the relationship between the failure evaluation factor and the failure adjustment parameter can also be determined separately. For example, for the mileage of Cycle1 and the use time of Time1 mentioned above, at a certain state of charge (for example: when SOC0 is 100%), the expansion force sampling value Swelling Force1-1 corresponding to the temperature of Temp1, the expansion force sampling value Swelling Force1-2 corresponding to the temperature of Temp2, etc. are obtained, and so on. Or at a predetermined temperature (for example: when Temp0 is 25 degrees Celsius), the expansion force sampling value SwellingForce1-1' corresponding to the state of charge SOC1, the expansion force sampling value Swelling Force1-2' corresponding to the state of charge SOC2, etc. are obtained, and so on.

[0201] When multiple groups of corresponding failure evaluation factors, failure influencing factors and failure adjustment parameters are obtained, the failure function of the aging failure mode can be determined accordingly. Continuing with the example mentioned above, assuming that the failure function corresponding to the expansion force aging failure mode is f (), it can be obtained:

[0202] Swelling Force1-1=f(Cycle1, Time1, Temp1, SOC0);

[0203] Swelling Force1-2=f(Cycle1, Time1, Temp2, SOC0);

[0204] …

[0205] Swelling Force1-1'=f(Cycle1, Time1, Temp0, SOC1);

[0206] Swelling Force1-2'=f(Cycle1, Time1, Temp0, SOC2);

[0207] …

[0208] Swelling Force2-1=f(Cycle2, Time2, Temp1, SOC0);

[0209] Swelling Force2-2=f(Cycle2, Time2, Temp2, SOC0);

[0210] …

[0211] Swelling Force2-1'=f(Cycle2, Time2, Temp0, SOC1);

[0212] Swelling Force2-2'=f(Cycle2, Time2, Temp0, SOC2);

[0213] …

[0214] Using the above multiple sampling values, according to a specific fitting rule, the final failure function is obtained:

[0215] Swelling Force=f(Cycle, Time, Temp, SOC),

[0216] Where Swelling Force is the expansion force, Cycle is the mileage, Time is the usage time, Temp is the battery temperature, and SOC is the battery state of charge.

[0217] For the battery gasification aging failure mode, the corresponding failure function f' ( ) can also be obtained in a similar way as follows:

[0218] Pressure=f'(Cycle, Time, Temp, SOC),

[0219] Where Pressure is the internal pressure of the battery, Cycle is the mileage, Time is the usage time, Temp is the temperature of the battery, and SOC is the state of charge of the battery.

[0220] For the failure threshold of each aging failure mode, the structural model of the battery can be mechanically simulated to obtain the accurate failure threshold corresponding to the aging failure mode. For example, the failure threshold of the swelling force is Fmax, and the failure threshold of the internal pressure of the battery is Gmax.

[0221] According to the failure function, failure threshold and failure adjustment parameter of the aging failure mode, a first adjustment strategy corresponding to the aging failure mode can be determined. The first adjustment strategy includes:

[0222] When the battery is in the first service life, at least one failure adjustment parameter in the aging failure mode is determined as the initial failure adjustment parameter value corresponding thereto. When the battery is in the second service life and not in the first service life, at least one failure adjustment parameter in the aging failure mode is determined as the first failure adjustment parameter setting value corresponding thereto.

[0223] For each failure adjustment parameter, an initial failure adjustment parameter value is set. For example, for the failure adjustment parameters SOC and Temp, the initial value of SOC can be set to 100%; the initial value of Temp can be set to the maximum temperature Temp Max of the driving area of ​​the vehicle using the battery, etc.

[0224] When determining the first service life of the battery, it can be determined based on the typical use condition of the battery. In the example where the battery is used in a vehicle, the typical use condition can be determined based on the average daily mileage of users using the vehicle. For example, it can be determined based on the average daily mileage W of the 90th percentile user of the vehicle's average daily mileage. At this time, there is the following relationship between the mileage Cycle and the use time Time:

[0225] W=Cycle / Time.

[0226] The Cycle in the failure function is represented by Time, and the relationship between the expansion force and the usage time is obtained: Swelling Force = f (W×Time, Time, Temp, SOC).

[0227] The initial value of SOC is set to 100%, and the initial value of Temp is set to the highest temperature Temp Max of the driving area of ​​the vehicle using the battery. At the same time, assuming that the first service life is Time Max1, and the expansion force is equal to the failure threshold Fmax of the expansion force, substituting it into the above formula can be obtained:

[0228] Swelling Force=f(W×Time Max1, Time Max1, Temp Max, 100%)=Fmax.

[0229] Since the average daily mileage W, the maximum temperature Temp Max, the state of charge 100%, and the failure threshold Fmax of the expansion force are all known, the usage time Time Max1 calculated according to the above formula is the first service life of the battery. In the first service life, the battery can work normally with the initial failure adjustment parameter value, for example, work normally with the state of charge of 100%.

[0230] The second service life may be the expected service life of the battery. The required extended service life of the battery may be equal to the second service life minus the first service life. Let the expansion force be equal to the failure threshold Fmax of the expansion force, the service time be the second service life Time Max2, and the battery temperature is still set to the maximum temperature Temp Max of the driving area of ​​the vehicle using the battery, that is:

[0231] Swelling Force=f(W×Time Max2, Time Max2, Temp Max, SOC set)=Fmax.

[0232] Since the average daily mileage W, the maximum temperature Temp Max, the second service life Time Max2, and the failure threshold Fmax of the expansion force are all known, the state of charge SOC set calculated according to the above formula is the set value corresponding to the state of charge in the life to be extended.

[0233] When the battery is in the first service life, the battery can work with the initial failure adjustment parameter value. When the battery life needs to be extended to the second service life, the failure adjustment parameter of the battery needs to be set to the corresponding first failure adjustment parameter setting value during the extended life.

[0234] When determining the first failure adjustment parameter setting value corresponding to a failure adjustment parameter, other failure adjustment parameters can be set to initial values. For example, when determining the first failure adjustment parameter setting value of the state of charge SOC, the battery temperature Temp can be set to the initial value, that is, the maximum temperature Temp Max in the driving area of ​​the vehicle using the battery. At this time, only one failure adjustment parameter (for example: state of charge SOC) setting value needs to be determined. If only adjusting the failure adjustment parameter can meet the need to extend the battery life, there is no need to continue adjusting other failure adjustment parameters.

[0235] When only one failure adjustment parameter is adjusted, if the first failure adjustment parameter setting value obtained does not meet the first state condition, it means that adjusting only one failure adjustment parameter cannot meet the user's needs well, and other failure adjustment parameters need to be adjusted at the same time. For the expansion force aging failure mode, assuming that the first failure adjustment parameter setting value corresponding to the state of charge SOC is 30%, and the first state condition is that the state of charge SOC is greater than or equal to 60%, at this time, the first failure adjustment parameter setting value of the state of charge SOC can be determined as 70%, and substituted into the failure function above:

[0236] Swelling Force= f (Cycle, Time, Temp, SOC) = f (W × Time Max2, Time Max2, Tempset, 70%) = Fmax.

[0237] Since the average daily mileage W, the second service life Time Max2, the state of charge 70%, and the failure threshold Fmax of the expansion force are all known, the first failure adjustment parameter setting value Temp set corresponding to the battery temperature Temp can be calculated according to the above formula. The first failure adjustment parameter setting value corresponding to the state of charge SOC can be determined as 70%, and the first failure adjustment parameter setting value corresponding to the battery temperature Temp can be determined as Temp set. The battery service life can be extended by using a combination of the state of charge SOC and the battery temperature Temp.

[0238] When multiple aging failure modes include the same failure adjustment parameter, after obtaining the first failure adjustment parameter setting value of the failure adjustment parameter under each aging failure mode, the minimum value therein can be used as the final setting value of the failure adjustment parameter, that is, the second failure adjustment parameter setting value under the second adjustment strategy.

[0239] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them; although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or replace some or all of the technical features therein by equivalents; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the scope of the technical solutions of the embodiments of the present application, and they should all be included in the scope of the claims and specification of the present application. In particular, as long as there is no structural conflict, the various technical features mentioned in the various embodiments can be combined in any way. The present application is not limited to the specific embodiments disclosed herein, but includes all technical solutions that fall within the scope of the claims.

Claims

1. A method for extending battery life, characterized in that: include: Determine a plurality of aging failure modes of a battery, each of the plurality of aging failure modes comprising at least one failure adjustment parameter, and the at least one failure adjustment parameter is used to adjust the service life of the battery; Determining failure functions corresponding to the plurality of aging failure modes respectively based on the at least one failure adjustment parameter of each aging failure mode in the plurality of aging failure modes; Determine first adjustment strategies corresponding to the multiple aging failure modes respectively based on the failure functions corresponding to the multiple aging failure modes respectively and predetermined failure thresholds corresponding to the multiple aging failure modes respectively, wherein the failure threshold indicates a threshold of a battery state of the battery in the corresponding aging failure mode, and the first adjustment strategy is used to adjust the at least one failure adjustment parameter of the corresponding aging failure mode; as well as A second adjustment strategy for the battery is determined according to the first adjustment strategies respectively corresponding to the multiple aging failure modes, and the at least one failure adjustment parameter is adjusted based on the second adjustment strategy to extend the service life of the battery.

2. The method for extending battery life according to claim 1, characterized in that: The determining, based on the at least one failure adjustment parameter of each of the plurality of aging failure modes, the failure functions corresponding to the plurality of aging failure modes respectively comprises: For any one of the multiple aging failure modes: Determining a failure evaluation factor and at least one failure influencing factor corresponding to the aging failure mode, wherein the failure evaluation factor is used to indicate the aging degree of the battery, and the at least one failure influencing factor is used to indicate a factor causing aging of the battery; and The failure function corresponding to the aging failure mode is determined according to the failure evaluation factor, the at least one failure influencing factor and the at least one failure adjustment parameter.

3. The method for extending battery life according to claim 2, characterized in that: Determining the failure function corresponding to the aging failure mode according to the failure evaluation factor, the at least one failure influencing factor and the at least one failure adjustment parameter includes: Acquire multiple failure evaluation factor sampling values ​​of the battery in the aging failure mode, wherein the multiple failure evaluation factor sampling values ​​indicate numerical values ​​corresponding to the failure evaluation factors of the battery under multiple predetermined sampling states; Acquire a plurality of failure influencing factor sampling values ​​respectively corresponding to each failure influencing factor of the at least one failure influencing factor of the battery in the aging failure mode, wherein the plurality of failure influencing factor sampling values ​​indicate numerical values ​​corresponding to the failure influencing factor of the battery in the plurality of sampling states; and The failure function corresponding to the aging failure mode is determined according to the multiple failure evaluation factor sampling values, the multiple failure influencing factor sampling values ​​respectively corresponding to each failure influencing factor of the at least one failure influencing factor, and the at least one failure adjustment parameter.

4. The method for extending battery life according to claim 1, characterized in that: Each of the at least one failure adjustment parameter includes an initial failure adjustment parameter value, respectively, and the initial failure adjustment parameter value is predetermined based on a battery performance of the battery.

5. The method for extending battery life according to claim 4, characterized in that: The determining, based on the failure functions corresponding to the multiple aging failure modes and predetermined failure thresholds corresponding to the multiple aging failure modes, of first adjustment strategies corresponding to the multiple aging failure modes respectively comprises: For any one of the multiple aging failure modes: determining a first service life of the battery according to the failure function, the failure threshold, and the initial failure adjustment parameter value respectively corresponding to the at least one failure adjustment parameter, the first service life indicating the service life of the battery when the at least one failure adjustment parameter is set to the respectively corresponding initial failure adjustment parameter value; and The first adjustment strategy corresponding to the aging failure mode is determined according to a preset second service life of the battery and the first service life, and the second service life is greater than the first service life.

6. The method for extending battery life according to claim 5, characterized in that: The determining, according to the preset second service life of the battery and the first service life, the first adjustment strategy corresponding to the aging failure mode comprises: determining the life of the battery to be extended according to the second life and the first life; and According to the second service life, the failure function and the failure threshold, first failure adjustment parameter setting values ​​respectively corresponding to the at least one failure adjustment parameter in the service life to be extended are determined.

7. The method for extending battery life according to claim 6, characterized in that: The first adjustment strategy corresponding to any one of the plurality of aging failure modes includes: When the battery is in the first service life, determining the at least one failure adjustment parameter in the aging failure mode as the initial failure adjustment parameter value respectively corresponding thereto; and When the battery is within the second service life and not within the first service life, the at least one failure adjustment parameter in the aging failure mode is determined as the first failure adjustment parameter setting value respectively corresponding thereto.

8. The method for extending battery life according to claim 6 or 7, characterized in that: The determining, according to the first adjustment strategies respectively corresponding to the plurality of aging failure modes, a second adjustment strategy of the battery comprises: For any failure adjustment parameter of the at least one failure adjustment parameter: A second failure adjustment parameter setting value corresponding to the failure adjustment parameter under the second adjustment strategy is determined according to a minimum value among the first failure adjustment parameter setting values ​​corresponding to the failure adjustment parameter under the first adjustment strategy respectively corresponding to the multiple aging failure modes.

9. The method for extending battery life according to claim 6 or 7, characterized in that: The determining, according to the second service life, the failure function and the failure threshold, of a first failure adjustment parameter setting value respectively corresponding to the at least one failure adjustment parameter in the service life to be extended comprises: For any failure adjustment parameter of the at least one failure adjustment parameter: In the case where other failure adjustment parameters except the failure adjustment parameter in the at least one failure adjustment parameter are set to the corresponding initial failure adjustment parameter values ​​respectively, the first failure adjustment parameter setting value corresponding to the failure adjustment parameter is determined according to the second service life, the failure function and the failure threshold.

10. The method for extending battery life according to claim 9, characterized in that: The determining, according to the second service life, the failure function and the failure threshold, of the first failure adjustment parameter setting value respectively corresponding to the at least one failure adjustment parameter in the service life to be extended further comprises: For any failure adjustment parameter of the at least one failure adjustment parameter: In response to the first failure adjustment parameter setting value corresponding to the failure adjustment parameter not satisfying the first state condition, the first failure adjustment parameter setting values ​​corresponding to other failure adjustment parameters of the at least one failure adjustment parameter except the failure adjustment parameter are determined according to the first failure adjustment parameter setting value corresponding to the failure adjustment parameter, the second service life, the failure function and the failure threshold.

11. The method for extending battery life according to any one of claims 1 to 7, characterized in that: The failure threshold is predetermined based on mechanical simulation results of the battery.

12. A battery life extension device, characterized in that: include: A first module is used to determine multiple aging failure modes of a battery, each of the multiple aging failure modes includes at least one failure adjustment parameter, and the at least one failure adjustment parameter is used to adjust the service life of the battery; A second module is used to determine the failure functions corresponding to the multiple aging failure modes respectively based on the at least one failure adjustment parameter of each aging failure mode in the multiple aging failure modes; A third module is used to determine first adjustment strategies corresponding to the multiple aging failure modes respectively based on the failure functions corresponding to the multiple aging failure modes respectively and predetermined failure thresholds corresponding to the multiple aging failure modes respectively, wherein the failure threshold indicates a threshold of a battery state of the battery in the corresponding aging failure mode, and the first adjustment strategy is used to adjust the at least one failure adjustment parameter of the corresponding aging failure mode; as well as The fourth module is used to determine the second adjustment strategy of the battery according to the first adjustment strategies respectively corresponding to the multiple aging failure modes, and adjust the at least one failure adjustment parameter based on the second adjustment strategy to extend the service life of the battery.

13. A computing device, characterized in that: include: at least one processor; as well as At least one memory is communicatively connected to the at least one processor, the at least one memory stores instructions, and when the instructions are executed by the at least one processor individually or collectively, the computing device executes the battery life extension method according to any one of claims 1 to 11.

14. A computer-readable storage medium, characterized in that: Instructions are stored, which, when executed individually or collectively by one or more processors of a computing device, cause the computing device to perform the battery life extension method according to any one of claims 1 to 11.

15. A computer program product, characterized in that The method comprises instructions which, when executed individually or collectively by one or more processors of a computing device, cause the computing device to perform the battery life extension method according to any one of claims 1 to 11.

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