CN116027218A - Battery state evaluation method and electronic equipment - Google Patents
Battery state evaluation method and electronic equipment Download PDFInfo
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- CN116027218A CN116027218A CN202111256375.0A CN202111256375A CN116027218A CN 116027218 A CN116027218 A CN 116027218A CN 202111256375 A CN202111256375 A CN 202111256375A CN 116027218 A CN116027218 A CN 116027218A
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Abstract
The embodiment of the application provides a battery state evaluation method and electronic equipment, comprising the following steps: performing preset pulse cycle test processing on a battery to obtain a target voltage relaxation curve of the battery, wherein the target voltage relaxation curve comprises a plurality of curves reflecting the relation between the voltage and time change of the battery under different capacities in the use process; obtaining a target resistance relaxation curve corresponding to the battery according to the target voltage relaxation curve, wherein the target resistance relaxation curve is a curve reflecting the resistance change relation of different components of the battery in the use process; and evaluating the use state of the battery in the normal use process according to the target resistance relaxation curve.
Description
Technical Field
The embodiment of the disclosure relates to the technical field of lithium batteries, in particular to a battery state evaluation method and electronic equipment.
Background
With the continuous expansion of new energy demands, lithium ion batteries are further developed as main components of electric automobiles and energy storage, and power batteries become important components in new energy systems. Meanwhile, as the application field of the battery is widened, the requirement on the stability of the battery is also higher and higher.
However, the battery is a very large complex electrochemical system, and degradation of the state of health and various parameters of the battery are difficult to directly and accurately measure during use, so how to conveniently and accurately evaluate the state of use of the battery during normal use, such as the state of charge, the state of health, etc., to control and manage the battery is receiving attention.
Disclosure of Invention
It is an object of the present disclosure to provide a new solution for evaluating the state of a battery.
According to a first aspect of the present disclosure, there is provided an embodiment of a battery state evaluation method including:
performing preset pulse cycle test processing on a battery to obtain a target voltage relaxation curve of the battery, wherein the target voltage relaxation curve comprises a plurality of curves reflecting the relation between the voltage and time change of the battery under different capacities in the use process;
obtaining a target resistance relaxation curve corresponding to the battery according to the target voltage relaxation curve, wherein the target resistance relaxation curve is a curve reflecting the resistance change relation of different components of the battery in the use process;
and evaluating the use state of the battery in the normal use process according to the target resistance relaxation curve.
Optionally, the performing a preset pulse cycle test process on the battery to obtain a target voltage relaxation curve of the battery includes:
pulse cycle test processing with different preset multiplying power is carried out on the battery at different preset temperatures;
acquiring a capacity relaxation curve reflecting the corresponding relation between the capacity of the battery and the pulse cycle times; the method comprises the steps of,
and in the process of carrying out the pulse cycle test processing, collecting voltage values of the battery at different moments in a preset rest time period under different capacities so as to obtain the target voltage relaxation curve.
Optionally, the battery is internally provided with three electrodes;
the target voltage relaxation curve is obtained by:
acquiring a first sub-voltage relaxation curve by acquiring first voltage values of the battery between an anode and a cathode in the preset rest time period at different moments under the condition that the capacity of the battery is a first capacity value in the pulse cycle test process, wherein the first capacity value is the capacity value of the battery after the first preset times of pulse cycle test process and attenuation;
collecting second voltage values of the battery between the positive electrode and the reference electrode in different moments within the preset rest time length to obtain a second sub-voltage relaxation curve; the method comprises the steps of,
collecting third voltage values of the battery between the negative electrode and the reference electrode in different moments within the preset rest time length to obtain a third sub-voltage relaxation curve;
taking the first sub-voltage relaxation curve, the second sub-voltage relaxation curve and the third sub-voltage relaxation curve as a first voltage relaxation curve of the battery at the first capacity value;
and obtaining the battery relaxation curve according to the first voltage relaxation curve.
Optionally, the obtaining a target resistance relaxation curve corresponding to the battery according to the target voltage relaxation curve includes:
acquiring a first sub-voltage relaxation curve, a second sub-voltage relaxation curve and a third sub-voltage relaxation curve in a first voltage relaxation curve, wherein the first voltage relaxation curve is any one of the target voltage relaxation curves;
respectively acquiring a first abrupt point of the first sub-voltage relaxation curve, a second abrupt point of the second sub-voltage relaxation curve and a third abrupt point of the third sub-voltage relaxation curve;
obtaining a first resistance value, a second resistance value and a third resistance value by carrying out segmentation processing on the first sub-voltage relaxation curve according to the first abrupt point, carrying out segmentation processing on the second sub-voltage relaxation curve according to the second abrupt point and carrying out segmentation processing on the third sub-voltage relaxation curve according to the third abrupt point, wherein the first resistance value comprises a plurality of first sub-resistance values, and the first sub-resistance values represent resistances of corresponding segments in the first sub-voltage relaxation curve;
constructing the target resistance relaxation curve including a first resistance relaxation curve, a second resistance relaxation curve, and a third resistance relaxation curve from the first resistance value, the second resistance value, and the third resistance value.
Optionally, the acquiring the first abrupt point of the first sub-voltage relaxation curve includes:
performing first-order differential processing on the first sub-voltage relaxation curve to obtain a first differential curve;
and obtaining the first mutation point according to the slope change of the first differential curve.
Optionally, the step of performing a segmentation process on the first sub-voltage relaxation curve according to the first abrupt point to obtain a first resistance value includes:
segmenting the first sub-voltage relaxation curve on a time sequence according to the first abrupt change point to obtain a plurality of segmented sub-voltage relaxation curves;
obtaining a plurality of voltage differences corresponding to the plurality of segmented sub-voltage relaxation curves respectively by obtaining the voltage difference of each segment in the plurality of segmented sub-voltage relaxation curves;
and obtaining the first resistance value comprising the plurality of first sub-resistance values according to the plurality of voltage difference values.
Optionally, before the step of performing a preset pulse cycle test process on the battery to obtain the target voltage relaxation curve of the battery, the method further includes:
performing low-rate capacity calibration treatment on the battery to calibrate the capacity of the battery; the method comprises the steps of,
and adjusting the battery to be evaluated to a preset charge state.
Optionally, the state of use of the battery includes a state of health;
the evaluating the use state of the battery in the normal use process according to the target resistance relaxation curve comprises the following steps:
collecting the current resistance value of the battery in the normal use process;
and obtaining the health state of the battery according to the current resistance value and the target resistance relaxation curve, wherein the health state comprises the overall attenuation degree of the battery, the attenuation degree of the positive electrode component of the battery and the attenuation degree of the negative electrode component of the battery.
Optionally, the obtaining the health state of the battery according to the current resistance value and the target resistance relaxation curve includes:
obtaining a first current resistance value between a positive electrode and a negative electrode of the battery, a second current resistance value between the positive electrode and a reference electrode of the battery, and a third current resistance value between the negative electrode and the reference electrode of the battery from the current resistance values;
and obtaining the health state according to the first current resistance value, the second current resistance value, the third current resistance value and the target resistance relaxation curve.
According to a second aspect of the present disclosure, there is provided an embodiment of an electronic device, comprising:
a memory for storing executable instructions;
a processor for executing the method according to the first aspect of the present specification according to the control of the instruction.
According to the embodiment of the disclosure, the battery is subjected to preset pulse cycle speed measurement treatment to simulate the charge and discharge treatment of the battery by adopting direct current in daily life, so that a target voltage Chi Yu curve reflecting the relationship between the voltages and time changes of the battery in different capacities in the use process can be conveniently obtained; then, according to the target voltage Chi Yu curve, a target resistance Chi Yu curve reflecting the resistance change relation of different components in the battery in the use process is obtained, so that the electronic equipment can conveniently and accurately evaluate the use state of the battery according to the target resistance Chi Yu curve.
Other features of the present specification and its advantages will become apparent from the following detailed description of exemplary embodiments thereof, which proceeds with reference to the accompanying drawings.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments of the specification and together with the description, serve to explain the principles of the specification.
Fig. 1 is a flowchart of a battery state evaluation method according to an embodiment of the present disclosure.
Fig. 2 is a schematic diagram for illustrating a change in battery capacity.
Fig. 3 is a schematic diagram for illustrating a change in battery voltage.
Fig. 4 is a schematic diagram for illustrating a voltage differential curve.
Fig. 5 to 7 are schematic diagrams for illustrating a change in resistance.
Fig. 8 is a schematic hardware structure of an electronic device according to an embodiment of the disclosure.
Detailed Description
Various exemplary embodiments of the present disclosure will now be described in detail with reference to the accompanying drawings. It should be noted that: the relative arrangement of the components and steps, numerical expressions and numerical values set forth in these embodiments do not limit the scope of the present invention unless it is specifically stated otherwise.
The following description of at least one exemplary embodiment is merely exemplary in nature and is in no way intended to limit the invention, its application, or uses.
Techniques, methods, and apparatus known to one 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 specific values should be construed as merely illustrative, and not a limitation. Thus, other examples of exemplary embodiments may have different values.
It should be noted that: like reference numerals and letters denote like items in the following figures, and thus once an item is defined in one figure, no further discussion thereof is necessary in subsequent figures.
< method example >
In general, during the use of a battery, the state of use of the battery, for example, the state of charge (SOC, stateofCharge), the state of health (SOH, stateOfHealth), and the like, may be estimated by using the voltage, the capacity, the internal resistance, and the like as parameters. In the prior art, algorithms such as an ampere-hour integration method, an open-circuit voltage method, a system filtering method, a neural network evaluation method and the like are generally adopted to measure and acquire parameters of the voltage and the current of the battery. The existing evaluation method generally manages the battery based on a battery management system, and monitors and collects battery parameters to evaluate the use state of the battery, so as to manage and control the use, safety and faults of the battery.
However, in the existing evaluation method, the ampere-hour integration method has accumulated errors due to initial values of charge states and accuracy of current acquisition, and the open-circuit voltage method has deviations due to large battery fluctuation caused by temperature influence of environment and the like, so that the evaluation of the battery states is often not accurate enough.
In order to improve the accuracy of the evaluation result, the battery state can be evaluated by acquiring the ohmic internal resistance and the polarization internal resistance of the battery and establishing the relation between the battery internal resistance and the charge state, however, the evaluation method comprises the integral component factors of the positive electrode, the negative electrode and the like of the battery, the battery is subjected to images of various factors such as environmental temperature, use working condition, control strategy and the like in the use process, different components in the battery generally attenuate to different degrees, and the evaluation method is often used for carrying out accumulated evaluation on the integral effect of the battery, so that certain errors still exist in the evaluation result obtained according to the method.
In order to improve accuracy of a battery state evaluation result, embodiments of the present disclosure provide a battery state evaluation method. Referring to fig. 1, a flowchart of a battery state evaluation method according to an embodiment of the disclosure may be implemented in an electronic device, for example, by a device with a built-in battery management system (BMS, batteryManagementSystem).
As shown in fig. 1, the method of the present embodiment may include the following steps S1100-S1300, which are described in detail below.
Step S1100, performing preset pulse cycle test processing on a battery to obtain a target voltage relaxation curve of the battery, wherein the target voltage relaxation curve comprises a plurality of curves reflecting the relationship between the voltage and time change of the battery in different capacities in the use process.
In the embodiments of the present disclosure, unless otherwise specified, the battery to be evaluated is described as a lithium ion battery.
The preset pulse cycle test treatment is to perform pulse charge and discharge treatment with different multiplying power on the battery at different preset temperatures so as to obtain the test treatment of the change of battery capacity, voltage, resistance and the like caused by attenuation of different components in the battery in the use process by simulating the charge and discharge treatment of the battery by adopting direct current in daily life.
Unlike the prior art, which needs to rely on a specific device, for example, an electrochemical workstation to evaluate the battery usage state by collecting the ac impedance of the battery, the method provided by the embodiment can conveniently collect the parameters in the battery usage process without relying on the specific device by using the pulse cycle test process.
In one embodiment, prior to implementing the step S1100, the method further includes: performing low-rate capacity calibration treatment on the battery to calibrate the capacity of the battery; and adjusting the battery to be evaluated to a preset state of charge.
Specifically, in order to accurately calibrate the corresponding relation between the battery voltage, the resistance and the like and the battery usage state, before pulse cycle test processing is performed on the battery, low-rate charge and discharge processing can be performed on the battery to calibrate the battery capacity, and the battery charge state is adjusted to a preset charge state.
For example, the battery may be rated at a low rate at normal temperature, after which the battery is brought to a 50% state of charge at a rate of 0.1C.
In one embodiment, the performing a preset pulse cycle test process on the battery to obtain a target voltage relaxation curve of the battery includes: pulse cycle test processing with different preset multiplying power is carried out on the battery at different preset temperatures; acquiring a capacity relaxation curve reflecting the corresponding relation between the capacity of the battery and the pulse cycle times; and collecting voltage values of the battery at different moments within a preset rest time period under different capacities in the pulse cycle test process to obtain the target voltage relaxation curve.
Specifically, according to the embodiment of the disclosure, through carrying out pulse cycle test processing of different preset multiplying powers on the battery at different preset temperatures, different working conditions of daily battery work can be conveniently simulated, so that when the battery is subjected to capacity change due to attenuation of different groups of components, such as integral components, positive electrode components, negative electrode components and the like, in the use process, the change relation of voltage under different capacities along with standing time is obtained, and then the target resistance relaxation curve of the corresponding relation of the battery resistance and different use states, such as a state of charge, a state of health and the like, is calibrated according to the change relation of voltage values, so that the electronic equipment can accurately evaluate the use state of the battery in the normal use process according to the target resistance relaxation curve.
Please refer to fig. 2, which is a schematic diagram for illustrating a change in battery capacity. As shown in fig. 2, during the pulse cycle test process for the battery, the capacity of the battery initially changes from steady and then begins to decay gradually as the pulse cycle progresses. As the battery composition decays, its capacity gradually decreases.
In one embodiment, the cell has three built-in electrodes, and the target voltage Chi Yu curve can be obtained by: acquiring a first sub-voltage relaxation curve by acquiring first voltage values of the battery between an anode and a cathode in the preset rest time period at different moments under the condition that the capacity of the battery is a first capacity value in the pulse cycle test process, wherein the first capacity value is the capacity value of the battery after the first preset times of pulse cycle test process and attenuation; collecting second voltage values of the battery between the positive electrode and the reference electrode in different moments within the preset rest time length to obtain a second sub-voltage relaxation curve; collecting third voltage values of the battery between the negative electrode and the reference electrode in different moments within the preset rest time length, and obtaining a third sub-voltage relaxation curve; taking the first sub-voltage relaxation curve, the second sub-voltage relaxation curve and the third sub-voltage relaxation curve as a first voltage relaxation curve of the battery at the first capacity value; and obtaining the target battery relaxation curve according to the first voltage relaxation curve.
Specifically, in practice, state changes of the positive electrode and the negative electrode of the battery often also affect the battery usage state, so, in order to accurately evaluate the battery usage state, the battery of the embodiments of the present disclosure includes three electrodes, that is, the positive electrode, the negative electrode and the reference electrode, so as to obtain voltage relaxation curves under different capacities by detecting the positive electrode potential, the negative electrode potential and the battery voltage, so as to construct se:Sub>A target voltage relaxation curve, where the voltage relaxation curves under different capacities may include three types of sub-voltage relaxation curves, that is, may include se:Sub>A sub-voltage relaxation curve (C-se:Sub>A) reflecting the sub-voltage relaxation curve (C-R) between the positive electrode and the negative electrode, and se:Sub>A sub-voltage relaxation curve (se:Sub>A-R) reflecting the sub-voltage relaxation curve (se:Sub>A-R) between the positive electrode and the reference electrode, so as to obtain the target voltage relaxation curve.
In an embodiment of the disclosure, the voltage relaxation curve of the battery at a certain capacity may be obtained by subjecting the battery to a low-rate calibration and to a preset state of charge, and then subjecting the battery to a pulse charging at a preset rate, for example, 5C rate, for 30 seconds after a preset period of time, for example, 2 hours, in a preset temperature, for example, 25 degrees environment, and then subjecting the battery to a rest for 30 seconds after the pulse charging is completed, and collecting the voltage values of the battery at different times within the rest period of time for 30 seconds.
Of course, in the implementation, the battery may be first left to stand at another temperature, for example, at an ambient temperature of minus 10 degrees for a preset period of time, for example, 5 hours, and then be subjected to pulse charging at different multiplying power, for example, 0.1C, 0.5C, etc., for 30 seconds, and then the voltage change of the battery may be detected within 30 seconds after the pulse charging is completed, which is not limited in particular herein.
Please refer to fig. 3, which is a schematic diagram for illustrating the change in battery voltage. As shown in fig. 3, after the battery is subjected to the pulse cycle treatment for a preset number of times, the voltage between the positive electrode and the negative electrode, the voltage between the positive electrode and the reference electrode, and the voltage between the negative electrode and the reference electrode of the battery are changed following the rest period within 30 seconds, and abrupt changes in the voltage value may occur at some time.
The above is a detailed description of how the target voltage relaxation curve of the battery is obtained, and the following is a detailed description of how the corresponding target resistance relaxation curve of the battery is obtained from the target voltage relaxation curve.
That is, after step S1100, step S1200 is performed to obtain a target resistance relaxation curve corresponding to the battery according to the target voltage relaxation curve, where the target resistance relaxation curve is a curve reflecting a resistance change relationship of different components of the battery during use.
In one embodiment, the obtaining the target resistance relaxation curve corresponding to the battery according to the target voltage relaxation curve includes: acquiring a first sub-voltage relaxation curve, a second sub-voltage relaxation curve and a third sub-voltage relaxation curve in a first voltage relaxation curve, wherein the first voltage relaxation curve is any one of the target voltage relaxation curves; respectively acquiring a first abrupt point of the first sub-voltage relaxation curve, a second abrupt point of the second sub-voltage relaxation curve and a third abrupt point of the third sub-voltage relaxation curve; obtaining a first resistance value, a second resistance value and a third resistance value by carrying out segmentation processing on the first sub-voltage relaxation curve according to the first abrupt point, carrying out segmentation processing on the second sub-voltage relaxation curve according to the second abrupt point and carrying out segmentation processing on the third sub-voltage relaxation curve according to the third abrupt point, wherein the first resistance value comprises a plurality of first sub-resistance values, and the first sub-resistance values represent resistances of corresponding segments in the first sub-voltage relaxation curve; constructing the target resistance relaxation curve including a first resistance relaxation curve, a second resistance relaxation curve, and a third resistance relaxation curve from the first resistance value, the second resistance value, and the third resistance value.
As can be seen from fig. 3, after the battery is subjected to a pulse cycle process for a certain number of times, the battery is left to stand for a preset period of time, for example, 30 seconds, and the battery resistance is changed differently due to the attenuation of different components of the battery, for example, the overall component, the positive component, and the negative component materials, so that in the embodiment of the present disclosure, after the target voltage relaxation curve is obtained, the respective corresponding resistances may be solved according to the voltage relaxation curve of each capacity to construct the target resistance relaxation curve.
In the embodiment of the disclosure, in order to reduce the data amount and facilitate obtaining the resistance data, a voltage relaxation curve of the battery is specifically adopted, and by performing first-order differential processing on the voltage relaxation curve, a mutation point reflecting the change of the voltage values between the positive electrode and the negative electrode, between the positive electrode and the reference electrode and between the negative electrode and the reference electrode is obtained according to the slope change of the obtained differential curve, that is, the mutation time sequence points corresponding to the voltage relaxation curves of the corresponding sub-batteries under each capacity are respectively obtained.
That is, in one embodiment, the first abrupt point of the first sub-voltage Chi Yu curve can be obtained by: performing first-order differential processing on the first sub-voltage relaxation curve to obtain a first differential curve; and obtaining the first mutation point according to the slope change of the first differential curve. Similarly, the same or similar steps as those used to obtain the first mutation point may be used to obtain the second mutation point and the third mutation point, which will not be described herein.
The step of performing the segmentation processing on the first sub-voltage relaxation curve according to the first abrupt change point to obtain a first resistance value includes: segmenting the first sub-voltage relaxation curve on a time sequence according to the first abrupt change point to obtain a plurality of segmented sub-voltage relaxation curves; obtaining a plurality of voltage differences corresponding to the plurality of segmented sub-voltage relaxation curves respectively by obtaining the voltage difference of each segment in the plurality of segmented sub-voltage relaxation curves; and obtaining the first resistance value comprising the plurality of first sub-resistance values according to the plurality of voltage difference values.
Please refer to fig. 4, which is a schematic diagram for illustrating a voltage differential curve. As can be seen from fig. 4, after the battery is subjected to a pulse cycle treatment for a certain number of times, the battery is left to stand for a preset period of time, for example, 30 seconds, and is changed very rapidly at the initial stage and then is changed slowly to be basically unchanged, so that the corresponding abrupt points are respectively 1 second, 10 seconds and 30 seconds; through the three abrupt points, the corresponding voltage relaxation curve can be divided into three sections, and the resistances R1, R2 and R3 corresponding to different stages can be calculated by acquiring the voltage differences delta U1, delta U2 and delta U3 of each stage and by the formula R= delta U/I.
According to experimental data, deltaU 1 can reflect the voltage drop generated by the battery very rapidly in the instant process of breaking the current to a certain extent, so that the electronic resistance or ohmic resistance corresponding to the battery can be reflected; deltaU 2 is the voltage change exhibited by relaxation during the electrochemical reaction process, which then changes relatively slowly, i.e. comprises the voltage change caused by polarization resistance; whereas Δu3 may reflect a relatively slower change in the cell, such as a change in voltage due to polarization resistance, such as concentration polarization.
According to the method, each sub-voltage relaxation curve in the voltage relaxation curves under different capacities can be segmented respectively, and the respective resistance values can be solved respectively, so that the target resistance relaxation curve of the battery, which is caused by attenuation of different components, can be obtained in the use process of the battery.
Please refer to fig. 5-7, which are schematic diagrams for illustrating the resistance change between the positive electrode and the negative electrode, the resistance change between the positive electrode and the reference electrode, and the resistance change between the negative electrode and the reference electrode, respectively, in the target resistance relaxation curves. As can be seen from fig. 5, the resistance R1 of the battery tends to increase significantly as the capacity of the battery decays during the cycle. The resistance R2 initially has a decreasing trend and then stabilizes, and it can be seen in connection with fig. 7 that the resistance change of this portion of the decreasing trend is mainly related to the same change trend of the negative electrode, and thus may be related to the initial activation process of the battery. Meanwhile, as shown in fig. 5, 6 and 7, the values of the resistors R3 of the three remain substantially unchanged throughout the entire change of the battery.
From this, it is apparent that the resistance R1 of the battery gradually increases about 300 times before the initial pulse cycle test process, and the positive electrode shows a larger proportion of the resistance R1 in the gradual increase, and the negative electrode shows a relatively smaller proportion of the resistance R1 in the gradual increase. In the subsequent process, the resistance R1 of the battery still has a gradual increase trend, and the resistance R1 of the positive electrode of the battery also has a sudden increase trend, so that the increase trend of the resistance R1 of the positive electrode is basically unchanged.
Step S1300, evaluating the use state of the battery in the normal use process according to the target resistance relaxation curve.
After the target resistance relaxation curve is obtained by the method, the use state of the battery in the normal use process can be estimated according to the target resistance relaxation curve.
In one embodiment, the state of use of the battery comprises a state of health; the evaluating the use state of the battery in the normal use process according to the target resistance relaxation curve comprises the following steps: collecting the current resistance value of the battery in the normal use process; and obtaining the health state of the battery according to the current resistance value and the target resistance relaxation curve, wherein the health state comprises the overall attenuation degree of the battery, the attenuation degree of the positive electrode component of the battery and the attenuation degree of the negative electrode component of the battery.
In one embodiment, the obtaining the state of health of the battery according to the current resistance value and the target resistance relaxation curve includes: obtaining a first current resistance value between a positive electrode and a negative electrode of the battery, a second current resistance value between the positive electrode and a reference electrode of the battery, and a third current resistance value between the negative electrode and the reference electrode of the battery from the current resistance values; and obtaining the health state according to the first current resistance value, the second current resistance value, the third current resistance value and the target resistance relaxation curve.
In particular, during normal use of the battery, the performance of the battery generally depends on the synergistic effect of the positive electrode, the negative electrode and the electrolyte, and the failure of any one component can lead to the loss of the battery performance and even the occurrence of safety accidents. Therefore, in the embodiment of the disclosure, the charge and discharge processing of the battery in the normal use process is simulated by using the pulse cycle test processing, the differential curve is solved for the acquired voltage relaxation curve to find the mutation points in various voltage relaxation curves, and each curve is segmented according to the mutation points, so that the use state of the battery, such as the state of charge, the state of health and the like, can be conveniently evaluated, and the positive electrode state and the negative electrode state of the battery can be accurately and finely evaluated to ensure the stability and the safety of the use of the battery.
< device example >
In this embodiment, for example, the electronic device may be a device with a built-in battery management system, please refer to fig. 8, which is a schematic structural diagram of an electronic device provided in an embodiment of the present disclosure.
As shown in fig. 8, the electronic device 8000 may include a processor 8200 and a memory 8100, the memory 8100 for storing executable instructions; the processor 8200 is configured to operate the electronic device according to control of instructions to perform a battery state evaluation method according to any embodiment of the present disclosure.
One or more embodiments of the present description may be a system, method, and/or computer program product. The computer program product may include a computer-readable storage medium having computer-readable program instructions embodied thereon for causing a processor to implement aspects of the present description.
The computer readable storage medium may be a tangible device that can hold and store instructions for use by an instruction execution device. The computer readable storage medium may be, for example, but not limited to, an electronic storage device, a magnetic storage device, an optical storage device, an electromagnetic storage device, a semiconductor storage device, or any suitable combination of the foregoing. More specific examples (a non-exhaustive list) of the computer-readable storage medium would include the following: portable computer disks, hard disks, random Access Memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), static Random Access Memory (SRAM), portable compact disk read-only memory (CD-ROM), digital Versatile Disks (DVD), memory sticks, floppy disks, mechanical coding devices, punch cards or in-groove structures such as punch cards or grooves having instructions stored thereon, and any suitable combination of the foregoing. Computer-readable storage media, as used herein, are not to be construed as transitory signals per se, such as radio waves or other freely propagating electromagnetic waves, electromagnetic waves propagating through waveguides or other transmission media (e.g., optical pulses through fiber optic cables), or electrical signals transmitted through wires.
The computer readable program instructions described herein may be downloaded from a computer readable storage medium to a respective computing/processing device or to an external computer or external storage device over a network, such as the internet, a local area network, a wide area network, and/or a wireless network. The network may include copper transmission cables, fiber optic transmissions, wireless transmissions, routers, firewalls, switches, gateway computers and/or edge servers. The network interface card or network interface in each computing/processing device receives computer readable program instructions from the network and forwards the computer readable program instructions for storage in a computer readable storage medium in the respective computing/processing device.
Computer program instructions for carrying out operations of embodiments of the present description may be assembly instructions, instruction Set Architecture (ISA) instructions, machine-related instructions, microcode, firmware instructions, state setting data, or source or object code written in any combination of one or more programming languages, including an object oriented programming language such as Smalltalk, c++ or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The computer readable program instructions may be executed 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 case of a remote computer, the remote computer may be connected to the user's computer through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computer (for example, through the Internet using an Internet service provider). In some embodiments, aspects of the present description are implemented by personalizing electronic circuitry, such as programmable logic circuitry, field Programmable Gate Arrays (FPGAs), or Programmable Logic Arrays (PLAs), with state information for computer-readable program instructions, which may execute the computer-readable program instructions.
Various aspects of the present description are described herein with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the specification. It will be understood that each block of the flowchart illustrations and/or block diagrams, and combinations of blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer-readable program instructions.
These computer readable program instructions may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions/acts specified in the flowchart and/or block diagram block or blocks. These computer readable program instructions may also be stored in a computer readable storage medium that can direct a computer, programmable data processing apparatus, and/or other devices to function in a particular manner, such that the computer readable medium having the instructions stored therein includes an article of manufacture including instructions which implement the function/act specified in the flowchart and/or block diagram block or blocks.
The computer readable program instructions may also be loaded onto a computer, other programmable data processing apparatus, or other devices to cause a series of operational steps to be performed on the computer, other programmable apparatus or other devices to produce a computer implemented process such that the instructions which execute on the computer, other programmable apparatus or other devices implement the functions/acts specified in the flowchart and/or block diagram block or blocks.
The flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present description. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of instructions, which comprises one or more executable instructions for implementing the specified logical function(s). In some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions. It is well known to those skilled in the art that implementation by hardware, implementation by software, and implementation by a combination of software and hardware are all equivalent.
The embodiments of the present specification have been described above, and the above description is illustrative, not exhaustive, and not limited to the embodiments disclosed. Many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the various embodiments described. The terminology used herein was chosen in order to best explain the principles of the embodiments, the practical application, or the technical improvement in the marketplace, or to enable others of ordinary skill in the art to understand the embodiments disclosed herein. The scope of the application is defined by the appended claims.
Claims (10)
1. A battery state evaluation method, characterized by comprising:
performing preset pulse cycle test processing on a battery to obtain a target voltage relaxation curve of the battery, wherein the target voltage relaxation curve comprises a plurality of curves reflecting the relation between the voltage and time change of the battery under different capacities in the use process;
obtaining a target resistance relaxation curve corresponding to the battery according to the target voltage relaxation curve, wherein the target resistance relaxation curve is a curve reflecting the resistance change relation of different components of the battery in the use process;
and evaluating the use state of the battery in the normal use process according to the target resistance relaxation curve.
2. The method of claim 1, wherein performing a predetermined pulse cycle test process on the battery to obtain a target voltage relaxation curve of the battery comprises:
pulse cycle test processing with different preset multiplying power is carried out on the battery at different preset temperatures;
acquiring a capacity relaxation curve reflecting the corresponding relation between the capacity of the battery and the pulse cycle times; the method comprises the steps of,
and in the process of carrying out the pulse cycle test processing, collecting voltage values of the battery at different moments in a preset rest time period under different capacities so as to obtain the target voltage relaxation curve.
3. The method of claim 2, wherein the battery incorporates three electrodes;
the target voltage relaxation curve is obtained by:
acquiring a first sub-voltage relaxation curve by acquiring first voltage values of the battery between an anode and a cathode in the preset rest time period at different moments under the condition that the capacity of the battery is a first capacity value in the pulse cycle test process, wherein the first capacity value is the capacity value of the battery after the first preset times of pulse cycle test process and attenuation;
collecting second voltage values of the battery between the positive electrode and the reference electrode in different moments within the preset rest time length to obtain a second sub-voltage relaxation curve; the method comprises the steps of,
collecting third voltage values of the battery between the negative electrode and the reference electrode in different moments within the preset rest time length to obtain a third sub-voltage relaxation curve;
taking the first sub-voltage relaxation curve, the second sub-voltage relaxation curve and the third sub-voltage relaxation curve as a first voltage relaxation curve of the battery at the first capacity value;
and obtaining the battery relaxation curve according to the first voltage relaxation curve.
4. A method according to claim 3, wherein said obtaining a target electrical resistance relaxation curve corresponding to said battery from said target electrical voltage relaxation curve comprises:
respectively acquiring a first abrupt point of the first sub-voltage relaxation curve, a second abrupt point of the second sub-voltage relaxation curve and a third abrupt point of the third sub-voltage relaxation curve;
obtaining a first resistance value, a second resistance value and a third resistance value by carrying out segmentation processing on the first sub-voltage relaxation curve according to the first abrupt point, carrying out segmentation processing on the second sub-voltage relaxation curve according to the second abrupt point and carrying out segmentation processing on the third sub-voltage relaxation curve according to the third abrupt point, wherein the first resistance value comprises a plurality of first sub-resistance values, and the first sub-resistance values represent resistances of corresponding segments in the first sub-voltage relaxation curve;
constructing the target resistance relaxation curve including a first resistance relaxation curve, a second resistance relaxation curve, and a third resistance relaxation curve from the first resistance value, the second resistance value, and the third resistance value.
5. The method of claim 4, wherein the acquiring the first abrupt point of the first sub-voltage relaxation curve comprises:
performing first-order differential processing on the first sub-voltage relaxation curve to obtain a first differential curve;
and obtaining the first mutation point according to the slope change of the first differential curve.
6. The method of claim 4, wherein the segmenting the first sub-voltage relaxation curve according to the first abrupt point to obtain a first resistance value comprises:
segmenting the first sub-voltage relaxation curve on a time sequence according to the first abrupt change point to obtain a plurality of segmented sub-voltage relaxation curves;
obtaining a plurality of voltage differences corresponding to the plurality of segmented sub-voltage relaxation curves respectively by obtaining the voltage difference of each segment in the plurality of segmented sub-voltage relaxation curves;
and obtaining the first resistance value comprising the plurality of first sub-resistance values according to the plurality of voltage difference values.
7. The method of claim 1, wherein prior to the step of subjecting the battery to a predetermined pulse cycle test process to obtain a target voltage relaxation curve of the battery, the method further comprises:
performing low-rate capacity calibration treatment on the battery to calibrate the capacity of the battery; the method comprises the steps of,
and adjusting the battery to be evaluated to a preset charge state.
8. The method of claim 1, wherein the battery usage status comprises a health status;
the evaluating the use state of the battery in the normal use process according to the target resistance relaxation curve comprises the following steps:
collecting the current resistance value of the battery in the normal use process;
and obtaining the health state of the battery according to the current resistance value and the target resistance relaxation curve, wherein the health state comprises the overall attenuation degree of the battery, the attenuation degree of the positive electrode component of the battery and the attenuation degree of the negative electrode component of the battery.
9. The method of claim 8, wherein the obtaining the state of health of the battery from the current resistance value and the target resistance relaxation curve comprises:
obtaining a first current resistance value between a positive electrode and a negative electrode of the battery, a second current resistance value between the positive electrode and a reference electrode of the battery, and a third current resistance value between the negative electrode and the reference electrode of the battery from the current resistance values;
and obtaining the health state according to the first current resistance value, the second current resistance value, the third current resistance value and the target resistance relaxation curve.
10. An electronic device, comprising:
a memory for storing executable instructions;
a processor for executing the method according to any of claims 1-9, operating the electronic device according to the control of the instructions.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN116338501A (en) * | 2022-12-19 | 2023-06-27 | 哈尔滨工业大学 | Lithium ion battery health detection method based on neural network prediction relaxation voltage |
| CN116577674A (en) * | 2023-07-13 | 2023-08-11 | 国仪量子(合肥)技术有限公司 | Method, device and storage medium for detecting battery performance |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN116338501A (en) * | 2022-12-19 | 2023-06-27 | 哈尔滨工业大学 | Lithium ion battery health detection method based on neural network prediction relaxation voltage |
| CN116338501B (en) * | 2022-12-19 | 2023-09-12 | 哈尔滨工业大学 | Lithium ion battery health detection method based on neural network prediction relaxation voltage |
| CN116577674A (en) * | 2023-07-13 | 2023-08-11 | 国仪量子(合肥)技术有限公司 | Method, device and storage medium for detecting battery performance |
| CN116577674B (en) * | 2023-07-13 | 2023-10-10 | 国仪量子(合肥)技术有限公司 | Method, device and storage medium for detecting battery performance |
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