CN113359050A - Method and device for calibrating aging of rechargeable battery and computer readable medium - Google Patents
Method and device for calibrating aging of rechargeable battery and computer readable medium Download PDFInfo
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Abstract
The application provides a rechargeable battery aging calibration method, equipment and a computer readable medium. The method comprises the following steps: acquiring real-time current, real-time battery temperature, charge-discharge time and battery life parameters of a rechargeable battery; acquiring the maximum battery capacity corresponding to the real-time current and the real-time battery temperature; calculating a charge capacity accumulation percentage based on the real-time charge current, the charge and discharge time, and the maximum battery capacity; calculating the cumulative percentage of discharged electric quantity based on the real-time discharge current, the charge-discharge time and the maximum battery capacity; after one charge cycle detection and one discharge cycle detection are finished, increasing the cumulative number of cycle charge and discharge by 1; and updating the maximum battery capacity based on the accumulated number of times of cyclic charge and discharge and the battery life parameter. The method can calibrate the maximum battery capacity in real time, greatly improves the aging calibration accuracy of the rechargeable battery, and more accurately estimates the cycle service life of the rechargeable battery under the condition of saving a large amount of test cost.
Description
Technical Field
The present application relates to the field of battery technologies, and in particular, to a method and an apparatus for calibrating aging of a rechargeable battery, and a computer readable medium.
Background
For aging calibration of a rechargeable battery, the existing methods include methods based on charge and discharge times, resistance change in the battery, artificial intelligence simulation, and the like.
The existing aging calibration method based on the charge and discharge times determines whether the charge and discharge times are accumulated once according to the battery capacity when the battery is charged after being discharged. For example, when the remaining capacity after the battery is discharged is 50% or less and the battery is fully charged again, the number of charge and discharge times may increase once. If the battery is fully charged only by 80%, the charging and discharging times are not increased.
The existing aging calibration method based on artificial intelligence simulation is to collect the battery temperature and the battery internal resistance based on a large amount of battery aging test data and predict the battery aging by using a fuzzy neural algorithm or an artificial intelligence algorithm.
The conventional rechargeable battery aging calibration method has the problems of inaccurate statistics of charging and discharging or the need of making a large number of battery aging samples and the like. Therefore, how to overcome the problem of inaccurate calibration of power aging and estimate the cycle life of the rechargeable battery more accurately without making a large number of battery aging samples is a problem that needs to be solved by those skilled in the art.
Disclosure of Invention
The technical problem to be solved by the application is to provide a rechargeable battery aging calibration method, a device and a computer readable medium, which can overcome the problem of inaccurate electric quantity aging calibration and can estimate the cycle service life of the rechargeable battery more accurately without a large number of battery aging samples.
In order to solve the above technical problem, the present application provides a method for calibrating aging of a rechargeable battery, including: acquiring real-time current, real-time battery temperature, charge-discharge time and one or more battery life parameters of a rechargeable battery, wherein the real-time current is real-time charging current or real-time discharging current; acquiring maximum battery capacity corresponding to the real-time current and the real-time battery temperature; when the real-time current is the real-time charging current, calculating a charging electric quantity accumulation percentage based on the real-time charging current, the charging and discharging time and the maximum battery capacity, and judging that one-time charging cycle detection is finished when the charging electric quantity accumulation percentage is equal to 100%; when the real-time current is the real-time discharge current, calculating the cumulative percentage of discharge electric quantity based on the real-time discharge current, the charge-discharge time and the maximum battery capacity, and judging that one discharge cycle detection is finished when the cumulative percentage of discharge electric quantity is equal to 100%; after one charge cycle detection and one discharge cycle detection are finished, increasing the cumulative number of cycle charge and discharge by 1; and updating the maximum battery capacity based on the accumulated number of charge and discharge cycles and the one or more battery life parameters.
In an embodiment of the present application, the method further comprises: monitoring whether the rechargeable battery is completely charged or discharged or not, and acquiring one-time complete charging electric quantity or discharging electric quantity when the rechargeable battery is completely charged or discharged; calculating an aging calibration value based on the once complete charging electric quantity or discharging electric quantity, the charging and discharging time and the maximum battery capacity before updating; updating the maximum battery capacity based on the aging calibration value, the one or more battery life parameters, and a latest maximum battery capacity.
In an embodiment of the application, the step of obtaining the maximum battery capacity corresponding to the real-time current and the real-time battery temperature is obtained from a preset maximum battery capacity model; the method further comprises the following steps: updating the maximum battery capacity model based on the updated maximum battery capacity.
In an embodiment of the present application, the rechargeable battery is applied to a mobile terminal; the maximum battery capacity model, the cumulative percentage of charge capacity and the cumulative percentage of discharge capacity are stored in a non-volatile memory of the mobile terminal.
In an embodiment of the application, when the real-time current is the real-time charging current, the step of calculating the cumulative percentage of the charging capacity based on the real-time charging current, the charging and discharging time, and the maximum battery capacity is performed by:
SOCcharge=∑(I′charge*Δt)/Q′max
wherein, I'chargeRepresents the real-time charging current, delta t is the charging and discharging time, sigma (I'chargeΔ t) is the real-time charging current integral, Q 'within the charging and discharging time'maxFor said maximum battery capacity, SOCchargeIs the cumulative percentage of the charge capacity.
In an embodiment of the present application, when the real-time current is the real-time discharge current, the step of calculating the cumulative percentage of discharge power based on the real-time discharge current, the charge and discharge time, and the maximum battery capacity is performed by:
SOCdischarge=∑(I′discharge*Δt)/Q′max
wherein, I'dischargeRepresents the real-time discharge current, delta t is the charge-discharge time, sigma (I'dischargeΔ t) is the real-time discharge current integral, Q 'within the charge-discharge time'maxFor said maximum battery capacity, SOCdischargeIs the cumulative percentage of the discharge capacity.
In an embodiment of the present application, the one or more battery life parameters include a number of cycle life tests and a percentage of a maximum battery capacity after testing corresponding to the number of cycle life tests; the step of updating the maximum battery capacity based on the accumulated number of charge and discharge cycles and the one or more battery life parameters is calculated by:
wherein A is the cycle life test frequency, B is the maximum battery capacity percentage after the test, ChargecycleIs the accumulated number of times of cyclic charge and discharge, Q'maxIs the maximum battery capacity before update, Q'max_newIs the updated maximum battery capacity.
In an embodiment of the application, the step of calculating the aging calibration value based on the once complete charge electric quantity or discharge electric quantity, the charge and discharge time, and the maximum battery capacity before updating is calculated by:
wherein K is the aging calibration value, Q'max_trueIs the once complete charging electric quantity or discharging electric quantity, delta t is the charging and discharging time, Q'maxTo maximum battery capacity before update, Q ″)maxAnd integrating the maximum battery capacity before updating in the charging and discharging time.
In an embodiment of the present application, the one or more battery life parameters include a number of cycle life tests and a percentage of a maximum battery capacity after testing corresponding to the number of cycle life tests; the step of updating the maximum battery capacity based on the aging calibration value, the one or more battery life parameters, and the latest maximum battery capacity is calculated by:
wherein A is the cycle life test frequency, B is the maximum battery capacity percentage after the test, K is the aging calibration value and ChargecycleIs the accumulated number of times of cyclic charge and discharge, Q'maxIs the maximum battery capacity before update, Q'max_newIs the updated maximum battery capacity.
In order to solve the above technical problem, the present application provides a rechargeable battery aging calibration apparatus, including: a memory for storing instructions executable by the processor; and a processor for executing the instructions to implement the method as described above.
To solve the above technical problem, the present application provides a computer readable medium having stored thereon computer program code, which when executed by a processor implements the method as described above.
Compared with the prior art, the aging calibration method, the aging calibration equipment and the computer readable medium of the rechargeable battery can perform aging calibration on the current maximum battery capacity of the rechargeable battery according to different charging and discharging currents, different temperatures and incomplete charging cycles, monitor electric quantity changes, effectively count the charging and discharging cycles, perform real-time calibration on the current maximum battery capacity, and greatly improve the aging calibration accuracy of the rechargeable battery. In addition, the cycle service life of the rechargeable battery can be estimated more accurately under the condition of saving a large amount of test cost without making a large amount of battery aging samples.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the application and together with the description serve to explain the principle of the application. In the drawings:
fig. 1 is a schematic flowchart illustrating a method for calibrating aging of a rechargeable battery according to an embodiment of the present application.
Fig. 2 is a schematic flow chart illustrating a method for calibrating aging of a rechargeable battery according to another embodiment of the present application.
Fig. 3 is an architecture diagram of a rechargeable battery aging calibration apparatus according to an embodiment of the present application.
Detailed Description
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings used in the description of the embodiments will be briefly introduced below. It is obvious that the drawings in the following description are only examples or embodiments of the application, from which the application can also be applied to other similar scenarios without inventive effort for a person skilled in the art. Unless otherwise apparent from the context, or otherwise indicated, like reference numbers in the figures refer to the same structure or operation.
As used in this application and the appended claims, the terms "a," "an," "the," and/or "the" are not intended to be inclusive in the singular, but rather are intended to be inclusive in the plural unless the context clearly dictates otherwise. In general, the terms "comprises" and "comprising" merely indicate that steps and elements are included which are explicitly identified, that the steps and elements do not form an exclusive list, and that a method or apparatus may include other steps or elements.
The relative arrangement of the components and steps, the numerical expressions, and numerical values set forth in these embodiments do not limit the scope of the present application unless specifically stated otherwise. Meanwhile, it should be understood that the sizes of the respective portions shown in the drawings are not drawn in an actual proportional relationship for the convenience of description. Techniques, methods, and apparatus known to those of ordinary skill in the relevant art may not be discussed in detail but are intended to be part of the specification where appropriate. In all examples shown and discussed herein, any particular value should be construed as merely illustrative, and not limiting. Thus, other examples of the exemplary embodiments may have different values. It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, further discussion thereof is not required in subsequent figures.
Flow charts are used herein to illustrate operations performed by systems according to embodiments of the present application. It should be understood that the preceding or following operations are not necessarily performed in the exact order in which they are performed. Rather, various steps may be processed in reverse order or simultaneously. Meanwhile, other operations are added to or removed from these processes.
The rechargeable battery in the application can be applied to the mobile terminal. The mobile terminal may be a Personal Digital Assistant (PDA), a mobile television, a mobile phone, a gaming device, a laptop computer, a tablet computer, a camera phone, a video recorder, an audio/video player, a radio, a Global Positioning System (GPS) device, a navigation device, or any combination thereof, which is not limited in this application.
The application provides a rechargeable battery aging calibration method which can be executed by a rechargeable battery aging calibration system. Fig. 1 is a schematic flowchart illustrating a method for calibrating aging of a rechargeable battery according to an embodiment of the present application. As shown in fig. 1, the method for calibrating aging of a rechargeable battery of the present embodiment includes the following steps 101-106:
At step 102, the system obtains a maximum battery capacity corresponding to the real-time current and the real-time battery temperature. The maximum battery capacity of the same rechargeable battery can be different at different temperatures and different currents.
In an embodiment of the present application, the system may obtain the maximum battery capacity corresponding to the real-time current and the real-time battery temperature from a preset maximum battery capacity model. When the rechargeable battery is applied to the mobile terminal, the maximum battery capacity model may be saved in a non-volatile memory of the mobile terminal for the mobile terminal to query and save.
In one example, the maximum battery capacity model may be a model Qmaxn (n-1, 2, …,15) as shown in table 1 below for maximum battery capacity at different temperatures and different currents. After the real-time current and the real-time battery temperature are obtained, the system can perform real-time interpolation calculation on the table 1 to obtain the maximum battery capacity corresponding to the real-time current and the real-time battery temperature.
TABLE 1
And 103, when the real-time current is the real-time charging current, calculating the cumulative percentage of the charging electric quantity by the system based on the real-time charging current, the charging and discharging time and the maximum battery capacity, and judging that one-time charging cycle detection is finished when the cumulative percentage of the charging electric quantity is equal to 100%. The cumulative percentage of charge capacity may be stored in non-volatile memory to prevent loss of information after shutdown.
In an embodiment of the present application, when the real-time current is a real-time charging current, the system may calculate the cumulative percentage of the charging capacity based on the real-time charging current, the charging and discharging time, and the maximum battery capacity by:
SOCcharge=∑(I′charge*Δt)/Q′max
wherein, I'chargeRepresents the real-time charging current, delta t is the charging and discharging time, Sigma (I'chargeΔ t) is the real-time charging current integral, Q 'over the charging and discharging time'maxTo maximum battery capacity, SOCchargeIs the cumulative percentage of charge.
And 104, when the real-time current is the real-time discharging current, calculating the accumulated percentage of the discharging electric quantity by the system based on the real-time discharging current, the charging and discharging time and the maximum battery capacity, and judging that one-time discharging cycle detection is finished when the accumulated percentage of the discharging electric quantity is equal to 100%. The cumulative percentage of discharged charge may be stored in non-volatile memory to prevent loss of information after shutdown.
In an embodiment of the present application, when the real-time current is a real-time discharge current, the system may calculate the cumulative percentage of discharged electricity based on the real-time discharge current, the charge and discharge time, and the maximum battery capacity by:
SOCdischarge=∑(I′discharge*Δt)/Q′max
wherein, I'dischargeRepresents a real-time discharge current,. DELTA.t represents a charge-discharge time,. sigma (I'dischargeΔ t) is the real-time discharge current integral, Q 'over the charge-discharge time'maxTo maximum battery capacity, SOCdischargeFor accumulating discharged electric quantityPercentage (D).
And step 105, after the detection of one charging cycle in the step 104 and the detection of one discharging cycle in the step 105 are completed, the rechargeable battery completes one charging and discharging cycle, and the system increases the cumulative number of times of charging and discharging cycles by 1.
And step 106, after the rechargeable battery completes one charge and discharge cycle, updating the maximum battery capacity by the system based on the cycle charge and discharge accumulated times and one or more battery life parameters, namely performing aging calibration on the maximum battery capacity.
In an embodiment of the present application, the one or more battery life parameters include a number of cycle life tests and a percentage of a maximum battery capacity after testing corresponding to the number of cycle life tests. For example, after 500 cycles of life testing, the maximum battery capacity of the rechargeable battery is only 80% of that before the test, the number of cycles of life testing is 500, and the percentage of the maximum battery capacity after the test corresponding to the number of cycles of life testing is 80%. The step of the system updating the maximum battery capacity based on the accumulated number of charge and discharge cycles and one or more battery life parameters may be calculated by:
wherein A is the cycle life test frequency, B is the percentage of the maximum battery capacity after the test, ChargecycleIs the cumulative number of times of charge and discharge cycles, Q'maxIs the maximum battery capacity before update, Q'max_newIs the updated maximum battery capacity.
In an embodiment of the present application, after updating the maximum battery capacity, the system may update the maximum battery capacity model based on the updated maximum battery capacity. By iteratively updating the maximum battery capacity model, the maximum battery capacity data in the maximum battery capacity model and the aging state of the rechargeable battery can be kept synchronous, and the aging calibration accuracy of the rechargeable battery is improved.
In an embodiment of the present application, the rechargeable battery may be applied to a mobile terminal. The maximum battery capacity model, the charge capacity accumulation percentage, and the discharge capacity accumulation percentage may be stored in a non-volatile memory (e.g., ROM) of the mobile terminal. By storing the information in the nonvolatile memory, the information can be prevented from being lost after the mobile terminal is powered off, so that the storage or statistics of the information are not influenced by the power-off of the mobile terminal.
In summary, the aging calibration method for the rechargeable battery of the embodiment can perform aging calibration on the current maximum battery capacity of the rechargeable battery according to different charging and discharging currents, different temperatures and incomplete charging cycles, can implement monitoring electric quantity changes, effectively counts the charging and discharging cycles, performs real-time calibration on the current maximum battery capacity, and greatly improves the aging calibration accuracy of the rechargeable battery. In addition, the aging calibration method for the rechargeable battery does not need to make a large number of battery aging samples, and can accurately estimate the cycle service life of the rechargeable battery under the condition of saving a large number of test costs.
Fig. 2 is a schematic flow chart illustrating a method for calibrating aging of a rechargeable battery according to another embodiment of the present application. In another embodiment of the present application, as shown in fig. 2, the rechargeable battery aging calibration method of the present embodiment includes the following steps 201 and 210, which may be executed by the rechargeable battery aging calibration system:
At step 202, the system obtains a maximum battery capacity corresponding to the real-time current and the real-time battery temperature. Step 202 can refer to step 102 in the embodiment of fig. 1, and is not described herein again.
And step 203, when the real-time current is the real-time charging current, the system calculates the accumulated percentage of the charging capacity based on the real-time charging current, the charging and discharging time and the maximum battery capacity, and when the accumulated percentage of the charging capacity is equal to 100%, the system judges that one-time charging cycle detection is finished. Step 203 can refer to step 103 in the embodiment of fig. 1, which is not described herein again.
And 204, when the real-time current is the real-time discharging current, calculating the accumulated percentage of the discharging electric quantity by the system based on the real-time discharging current, the charging and discharging time and the maximum battery capacity, and judging that one-time discharging cycle detection is finished when the accumulated percentage of the discharging electric quantity is equal to 100%. Step 204 can refer to step 104 in the embodiment of fig. 1, and is not described herein again.
And step 205, after one charge cycle detection and one discharge cycle detection are completed, the system increases the cumulative number of cycle charge and discharge by 1. Step 205 can refer to step 105 in the embodiment of fig. 1, and is not described herein again.
In step 206, the system updates the maximum battery capacity based on the accumulated number of charge and discharge cycles and one or more battery life parameters. Step 206 can refer to step 106 in the embodiment of fig. 1, and is not described herein again.
In step 207, the system monitors whether the rechargeable battery is fully charged or discharged. Full charge refers to a process in which there is no intermediate discharge process, accumulating from battery 0 to 100% charge. Full discharge refers to a process in which there is no intermediate charging process, and the battery charge drops from 100% to 0%. When the rechargeable battery is completely charged or discharged, the one-time complete real charging electric quantity or one-time complete real discharging electric quantity of the rechargeable battery can be obtained.
And step 208, when the rechargeable battery is completely charged or discharged, the system acquires the once complete charging electric quantity or discharging electric quantity.
In step 209, the system calculates an aging calibration value based on the once-completed charge or discharge capacity and the maximum battery capacity before update. The aging calibration value is used to update the maximum cell capacity in subsequent steps.
In an embodiment of the present application, the system may calculate the aging calibration value based on the one-time complete charge or discharge capacity, the charge and discharge time, and the maximum battery capacity before update by:
wherein K is an aging calibration value, Q'max_trueIs one complete charging electric quantity or discharging electric quantity, delta t is charging and discharging time, Q'maxTo maximum battery capacity before update, Q ″)maxIs the maximum battery capacity integral before update in the charging and discharging time. Q'maxThe method is obtained by performing integral calculation on the maximum battery capacity within the charging and discharging time, and when the real-time battery temperature changes during the charging and discharging period, the change condition of the maximum battery capacity along with the change of the real-time battery temperature can be reflected, so that the accuracy of updating the maximum battery capacity by using the aging calibration value is further improved.
At step 210, the system updates the maximum battery capacity based on the aging calibration value, the one or more battery life parameters, and the current latest maximum battery capacity. The maximum battery capacity is updated by using the aging calibration value calculated based on the one-time complete real charging/discharging electric quantity and the maximum battery capacity integral before updating in the charging and discharging time, so that the updated maximum battery capacity is closer to the real maximum battery capacity of the rechargeable battery, and the accuracy of the updated maximum battery capacity is further improved.
In an embodiment of the present application, the one or more battery life parameters include a number of cycle life tests and a percentage of a maximum battery capacity after testing corresponding to the number of cycle life tests. The system may update the maximum battery capacity based on the aging calibration value, the one or more battery life parameters, and the latest maximum battery capacity by:
wherein A isThe number of times of cycle life test, B the percentage of the maximum battery capacity after test, K the aging calibration value, ChargecycleIs the cumulative number of times of charge and discharge cycles, Q'maxIs the maximum battery capacity before update, Q'max_newIs the updated maximum battery capacity.
In summary, the aging calibration method for the rechargeable battery of the embodiment can perform aging calibration on the current maximum battery capacity of the rechargeable battery according to different charging and discharging currents, different temperatures and incomplete charging cycles, can implement monitoring electric quantity changes, effectively counts the charging and discharging cycles, performs real-time calibration on the current maximum battery capacity, and greatly improves the aging calibration accuracy of the rechargeable battery. The aging calibration method for the rechargeable battery can also monitor whether the rechargeable battery has a complete charging and discharging process in real time, and utilizes the complete real charging electric quantity or the complete real discharging electric quantity to calibrate the current maximum battery capacity in real time, so that the aging calibration accuracy of the rechargeable battery is further improved. In addition, the aging calibration method for the rechargeable battery does not need to make a large number of battery aging samples, and can accurately estimate the cycle service life of the rechargeable battery under the condition of saving a large number of test costs.
The application also provides a rechargeable battery aging calibration device, including: a memory for storing instructions executable by the processor; and a processor for executing the instructions to implement the rechargeable battery aging calibration method as described above.
Fig. 3 shows an architecture diagram of a rechargeable battery aging calibration apparatus according to an embodiment of the present application. Referring to fig. 3, the charging battery degradation calibration apparatus 300 may include an internal communication bus 301, a Processor (Processor)302, a Read Only Memory (ROM)303, a Random Access Memory (RAM)304, and a communication port 305. When applied to a personal computer, the rechargeable battery aging calibration apparatus 300 may further include a hard disk 307. The internal communication bus 301 may enable data communication among the components of the rechargeable battery aging calibration apparatus 300. Processor 302 may make the determination and issue a prompt. In some embodiments, processor 302 may be comprised of one or more processors. The communication port 305 may enable data communication of the rechargeable battery aging calibration apparatus 300 with the outside. In some embodiments, the rechargeable battery aging calibration apparatus 300 may send and receive information and data from a network through the communication port 305. The charging battery aging calibration apparatus 300 may also include various forms of program storage units and data storage units, such as a hard disk 307, Read Only Memory (ROM)303 and Random Access Memory (RAM)304, capable of storing various data files for computer processing and/or communication use, as well as possible program instructions for execution by the processor 302. The processor executes these instructions to implement the main parts of the method. The results processed by the processor are communicated to the user device through the communication port and displayed on the user interface.
Other implementation details of the rechargeable battery aging calibration apparatus of the present embodiment may refer to the embodiments described in fig. 1 to 2, and are not further described herein.
The present application also provides a computer readable medium having stored thereon computer program code which, when executed by a processor, implements a rechargeable battery aging calibration method as described above.
For example, the rechargeable battery aging calibration method of the present application may be implemented as a program of the rechargeable battery aging calibration method, stored in the memory, and loaded into the processor for execution, so as to implement the rechargeable battery aging calibration method of the present application.
The rechargeable battery aging calibration method, when implemented as a computer program, may also be stored in a computer readable storage medium as an article of manufacture. For example, computer-readable storage media can include but are not limited to magnetic storage devices (e.g., hard disk, floppy disk, magnetic strips), optical disks (e.g., Compact Disk (CD), Digital Versatile Disk (DVD)), smart cards, and flash memory devices (e.g., electrically Erasable Programmable Read Only Memory (EPROM), card, stick, key drive). In addition, various storage media described herein can represent one or more devices and/or other machine-readable media for storing information. The term "machine-readable medium" can include, without being limited to, wireless channels and various other media (and/or storage media) capable of storing, containing, and/or carrying code and/or instructions and/or data.
Having thus described the basic concept, it will be apparent to those skilled in the art that the foregoing disclosure is by way of example only, and is not intended to limit the present application. Various modifications, improvements and adaptations to the present application may occur to those skilled in the art, although not explicitly described herein. Such modifications, improvements and adaptations are proposed in the present application and thus fall within the spirit and scope of the exemplary embodiments of the present application.
Also, this application uses specific language to describe embodiments of the application. Reference throughout this specification to "one embodiment," "an embodiment," and/or "some embodiments" means that a particular feature, structure, or characteristic described in connection with at least one embodiment of the present application is included in at least one embodiment of the present application. Therefore, it is emphasized and should be appreciated that two or more references to "an embodiment" or "one embodiment" or "an alternative embodiment" in various places throughout this specification are not necessarily all referring to the same embodiment. Furthermore, some features, structures, or characteristics of one or more embodiments of the present application may be combined as appropriate.
Aspects of the methods and systems of the present application may be performed entirely by hardware, entirely by software (including firmware, resident software, micro-code, etc.), or by a combination of hardware and software. The above hardware or software may be referred to as "data block," module, "" engine, "" unit, "" component, "or" system. The processor may be one or more Application Specific Integrated Circuits (ASICs), Digital Signal Processors (DSPs), digital signal processing devices (DAPDs), Programmable Logic Devices (PLDs), Field Programmable Gate Arrays (FPGAs), processors, controllers, microcontrollers, microprocessors, or a combination thereof. Furthermore, aspects of the present application may be represented as a computer product, including computer readable program code, embodied in one or more computer readable media. For example, computer-readable media can include but are not limited to magnetic storage devices (e.g., hard disk, floppy disk, magnetic strips … …), optical disks (e.g., Compact Disk (CD), Digital Versatile Disk (DVD) … …), smart cards, and flash memory devices (e.g., card, stick, key drive … …).
A computer readable signal medium may comprise a propagated data signal with computer program code embodied therein, for example, on a baseband or as part of a carrier wave. The propagated signal may take any of a variety of forms, including electromagnetic, optical, and the like, or any suitable combination. A computer readable signal medium may be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code on a computer readable signal medium may be propagated over any suitable medium, including radio, electrical cable, fiber optic cable, radio frequency signals, or the like, or any combination of the preceding.
Computer program code required for the operation of various portions of the present application may be written in any one or more programming languages, including an object oriented programming language such as Java, Scala, Smalltalk, Eiffel, JADE, Emerald, C + +, C #, VB.NET, Python, and the like, a conventional programming language such as C, Visual Basic, Fortran 2003, Perl, COBOL 2002, PHP, ABAP, a dynamic programming language such as Python, Ruby, and Groovy, or other programming languages, and the like. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the latter scenario, the remote computer may be connected to the user's computer through any network format, such as a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet), or in a cloud computing environment, or as a service, such as a software as a service (SaaS).
Additionally, the order in which elements and sequences of the processes described herein are processed, the use of alphanumeric characters, or the use of other designations, is not intended to limit the order of the processes and methods described herein, unless explicitly claimed. While various presently contemplated embodiments of the application have been discussed in the foregoing disclosure by way of example, it should be understood that such detail is solely for that purpose and that the appended claims are not limited to the disclosed embodiments, but, on the contrary, are intended to cover all modifications and equivalent arrangements that are within the spirit and scope of the embodiments of the application. For example, although the system components described above may be implemented by hardware devices, they may also be implemented by software-only solutions, such as installing the described system on an existing server or mobile device.
Similarly, it should be noted that in the preceding description of embodiments of the application, various features are sometimes grouped together in a single embodiment, figure, or description thereof for the purpose of streamlining the disclosure aiding in the understanding of one or more of the embodiments. This method of disclosure, however, is not intended to require more features than are expressly recited in the claims. Indeed, the embodiments may be characterized as having less than all of the features of a single embodiment disclosed above.
Numerals describing the number of components, attributes, etc. are used in some embodiments, it being understood that such numerals used in the description of the embodiments are modified in some instances by the use of the modifier "about", "approximately" or "substantially". Unless otherwise indicated, "about", "approximately" or "substantially" indicates that the number allows a variation of ± 20%. Accordingly, in some embodiments, the numerical parameters used in the specification and claims are approximations that may vary depending upon the desired properties of the individual embodiments. In some embodiments, the numerical parameter should take into account the specified significant digits and employ a general digit preserving approach. Notwithstanding that the numerical ranges and parameters setting forth the broad scope of the range are approximations, in the specific examples, such numerical values are set forth as precisely as possible within the scope of the application.
Although the present application has been described with reference to the present specific embodiments, it will be recognized by those skilled in the art that the foregoing embodiments are merely illustrative of the present application and that various changes and substitutions of equivalents may be made without departing from the spirit of the application, and therefore, it is intended that all changes and modifications to the above-described embodiments that come within the spirit of the application fall within the scope of the claims of the application.
Claims (11)
1. A method for calibrating aging of a rechargeable battery, comprising:
acquiring real-time current, real-time battery temperature, charge-discharge time and one or more battery life parameters of a rechargeable battery, wherein the real-time current is real-time charging current or real-time discharging current;
acquiring maximum battery capacity corresponding to the real-time current and the real-time battery temperature;
when the real-time current is the real-time charging current, calculating a charging electric quantity accumulation percentage based on the real-time charging current, the charging and discharging time and the maximum battery capacity, and judging that one-time charging cycle detection is finished when the charging electric quantity accumulation percentage is equal to 100%;
when the real-time current is the real-time discharge current, calculating the cumulative percentage of discharge electric quantity based on the real-time discharge current, the charge-discharge time and the maximum battery capacity, and judging that one discharge cycle detection is finished when the cumulative percentage of discharge electric quantity is equal to 100%;
after one charge cycle detection and one discharge cycle detection are finished, increasing the cumulative number of cycle charge and discharge by 1; and
updating the maximum battery capacity based on the accumulated number of charge and discharge cycles and the one or more battery life parameters.
2. The method of claim 1, further comprising:
monitoring whether the rechargeable battery is completely charged or discharged or not, and acquiring one-time complete charging electric quantity or discharging electric quantity when the rechargeable battery is completely charged or discharged;
calculating an aging calibration value based on the once complete charging electric quantity or discharging electric quantity, the charging and discharging time and the maximum battery capacity before updating; and
updating the maximum battery capacity based on the aging calibration value, the one or more battery life parameters, and a latest maximum battery capacity.
3. The method of claim 1, wherein the step of obtaining the maximum battery capacity corresponding to the real-time current and the real-time battery temperature is obtaining from a preset maximum battery capacity model; the method further comprises the following steps:
updating the maximum battery capacity model based on the updated maximum battery capacity.
4. The method of claim 3, wherein the rechargeable battery is applied to a mobile terminal; the maximum battery capacity model, the cumulative percentage of charge capacity and the cumulative percentage of discharge capacity are stored in a non-volatile memory of the mobile terminal.
5. The method of claim 1, wherein the step of calculating a cumulative percentage of charge capacity based on the real-time charging current, the charge-discharge time, and the maximum battery capacity when the real-time current is the real-time charging current is calculated by:
SOCcharge=∑(I′charge*Δt)/Q′max
wherein, I'chargeRepresents the real-time charging current, delta t is the charging and discharging time, sigma (I'chargeΔ t) is the real-time charging current integral, Q 'within the charging and discharging time'maxFor said maximum battery capacity, SOCchargeIs the cumulative percentage of the charge capacity.
6. The method of claim 1, wherein when the real-time current is the real-time discharge current, the step of calculating a cumulative percentage of discharged electricity based on the real-time discharge current, the charge and discharge time, and the maximum battery capacity is calculated by:
SOCdischarge=∑(I′discharge*Δt)/Q′max
wherein, I'dischargeRepresents the real-time discharge current, delta t is the charge-discharge time, sigma (I'dischargeΔ t) is the real-time discharge current integral, Q 'within the charge-discharge time'maxFor said maximum battery capacity, SOCdischargeIs the cumulative percentage of the discharge capacity.
7. The method of claim 1, wherein the one or more battery life parameters comprise a number of cycle life tests and a post-test maximum battery capacity percentage corresponding to the number of cycle life tests; the step of updating the maximum battery capacity based on the accumulated number of charge and discharge cycles and the one or more battery life parameters is calculated by:
wherein A is the cycle life test frequency, B is the maximum battery capacity percentage after the test, ChargecycleIs the accumulated number of times of cyclic charge and discharge, Q'maxIs the maximum battery capacity before update, Q'max_newIs the updated maximum battery capacity.
8. The method of claim 2, wherein the step of calculating an aging calibration value based on the once-complete charge or discharge capacity, the charge-discharge time, and the maximum battery capacity before update is calculated by:
wherein K is the aging calibration value, Q'max_trueIs the once complete charging electric quantity or discharging electric quantity, delta t is the charging and discharging time, Q'maxTo maximum battery capacity before update, Q ″)maxAnd integrating the maximum battery capacity before updating in the charging and discharging time.
9. The method of claim 8, wherein the one or more battery life parameters include a number of cycle life tests and a percentage of maximum battery capacity after testing corresponding to the number of cycle life tests; the step of updating the maximum battery capacity based on the aging calibration value, the one or more battery life parameters, and the latest maximum battery capacity is calculated by:
wherein A is the cycle life test frequency, B is the maximum battery capacity percentage after the test, K is the aging calibration value and ChargecycleIs the accumulated number of times of cyclic charge and discharge, Q'maxIs the maximum battery capacity before update, Q'max_newIs the updated maximum battery capacity.
10. A rechargeable battery aging calibration apparatus comprising: a memory for storing instructions executable by the processor; and a processor for executing the instructions to implement the method of any one of claims 1-9.
11. A computer-readable medium having stored thereon computer program code which, when executed by a processor, implements the method of any of claims 1-9.
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Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN116794514A (en) * | 2023-05-04 | 2023-09-22 | 商宇(深圳)科技有限公司 | Method for correcting battery aging rate coefficient |
Citations (13)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2009281916A (en) * | 2008-05-23 | 2009-12-03 | Mitsubishi Electric Corp | Method for testing battery and electrode |
CN104698388A (en) * | 2015-03-02 | 2015-06-10 | 惠州Tcl移动通信有限公司 | Method and device for detecting battery ageing of mobile terminal |
CN105277898A (en) * | 2015-10-27 | 2016-01-27 | 浙江大学 | Battery charge state detecting method |
CN106093787A (en) * | 2016-07-01 | 2016-11-09 | 天能电池集团有限公司 | A kind of battery of electric bicycle deeper cavity life detecting method |
CN107153165A (en) * | 2017-07-11 | 2017-09-12 | 珠海市魅族科技有限公司 | Battery capacity metering method and device, computer installation and storage medium |
CN107179512A (en) * | 2017-07-12 | 2017-09-19 | 万帮充电设备有限公司 | Predict the method and device of battery life |
CN107611507A (en) * | 2017-09-18 | 2018-01-19 | 青岛海信移动通信技术股份有限公司 | Update method, device and the mobile terminal of battery parameter |
CN107991623A (en) * | 2017-11-27 | 2018-05-04 | 山东大学 | It is a kind of to consider temperature and the battery ampere-hour integration SOC methods of estimation of degree of aging |
CN108828446A (en) * | 2018-04-20 | 2018-11-16 | 西南科技大学 | A kind of modification method of ageing process to capacity impact |
CN109061481A (en) * | 2018-06-28 | 2018-12-21 | 奇瑞汽车股份有限公司 | The state-of-charge of battery determines method, apparatus and storage medium |
CN109725266A (en) * | 2018-12-29 | 2019-05-07 | 蜂巢能源科技有限公司 | A kind of calculation method and device of cell health state SOH |
CN110596595A (en) * | 2019-09-25 | 2019-12-20 | 广东毓秀科技有限公司 | Method for predicting RUL of rail-traffic lithium battery through big data |
CN111239624A (en) * | 2020-02-21 | 2020-06-05 | 中航锂电(洛阳)有限公司 | Battery capacity calibration method and device, electronic equipment and storage medium |
-
2021
- 2021-06-01 CN CN202110610799.6A patent/CN113359050A/en active Pending
Patent Citations (13)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2009281916A (en) * | 2008-05-23 | 2009-12-03 | Mitsubishi Electric Corp | Method for testing battery and electrode |
CN104698388A (en) * | 2015-03-02 | 2015-06-10 | 惠州Tcl移动通信有限公司 | Method and device for detecting battery ageing of mobile terminal |
CN105277898A (en) * | 2015-10-27 | 2016-01-27 | 浙江大学 | Battery charge state detecting method |
CN106093787A (en) * | 2016-07-01 | 2016-11-09 | 天能电池集团有限公司 | A kind of battery of electric bicycle deeper cavity life detecting method |
CN107153165A (en) * | 2017-07-11 | 2017-09-12 | 珠海市魅族科技有限公司 | Battery capacity metering method and device, computer installation and storage medium |
CN107179512A (en) * | 2017-07-12 | 2017-09-19 | 万帮充电设备有限公司 | Predict the method and device of battery life |
CN107611507A (en) * | 2017-09-18 | 2018-01-19 | 青岛海信移动通信技术股份有限公司 | Update method, device and the mobile terminal of battery parameter |
CN107991623A (en) * | 2017-11-27 | 2018-05-04 | 山东大学 | It is a kind of to consider temperature and the battery ampere-hour integration SOC methods of estimation of degree of aging |
CN108828446A (en) * | 2018-04-20 | 2018-11-16 | 西南科技大学 | A kind of modification method of ageing process to capacity impact |
CN109061481A (en) * | 2018-06-28 | 2018-12-21 | 奇瑞汽车股份有限公司 | The state-of-charge of battery determines method, apparatus and storage medium |
CN109725266A (en) * | 2018-12-29 | 2019-05-07 | 蜂巢能源科技有限公司 | A kind of calculation method and device of cell health state SOH |
CN110596595A (en) * | 2019-09-25 | 2019-12-20 | 广东毓秀科技有限公司 | Method for predicting RUL of rail-traffic lithium battery through big data |
CN111239624A (en) * | 2020-02-21 | 2020-06-05 | 中航锂电(洛阳)有限公司 | Battery capacity calibration method and device, electronic equipment and storage medium |
Non-Patent Citations (1)
Title |
---|
贺维勇, 花均社, 申淑兰: "粉末粒度对AB_5型合金电化学性能的影响", 中国有色金属学报, vol. 12, no. 1, 31 May 2002 (2002-05-31), pages 54 - 57 * |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN116794514A (en) * | 2023-05-04 | 2023-09-22 | 商宇(深圳)科技有限公司 | Method for correcting battery aging rate coefficient |
CN116794514B (en) * | 2023-05-04 | 2024-03-22 | 商宇(深圳)科技有限公司 | Method for correcting battery aging rate |
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