Method and device for determining polarization impedance of battery, electronic equipment and storage medium

Abstract

The invention discloses a method and device for determining polarization impedance of a battery, electronic equipment and a storage medium, and belongs to the technical field of electronic equipment. The determination method comprises the steps of applying a disturbance signal to a battery under the condition that the battery is in a preset electric quantity state; acquiring a rebound voltage signal of the battery to the disturbance signal; a polarization impedance of the battery is determined based on the rebound voltage signal.

Description

Technical Field

[0001] The present application belongs to the technical field of electronic equipment, and specifically relates to a method and device for determining polarization impedance of a battery, an electronic device, and a storage medium. Background Art

[0002] In related technologies, in order to ensure the safety and reliability of battery use, it is necessary to effectively monitor the battery life and battery health. Among them, for lithium-ion batteries used in common electronic devices, their chemical impedance is a key parameter to characterize the health status of the battery. In order to detect the chemical impedance of the battery, the total impedance value is generally calculated by the voltage difference and current difference within a certain period of time, and the battery health is determined by the calculated total impedance value.

[0003] Based on the polarization principle of lithium-ion batteries, the diffusion time of electrons and lithium ions on different electrode materials is different. Therefore, the total impedance of the battery cannot accurately represent the actual health status of the battery, which leads to inaccurate predictions of battery life. Summary of the invention

[0004] The purpose of the embodiments of the present application is to provide a method and device for determining the polarization impedance of a battery, an electronic device, and a storage medium, which can solve the problem of inaccurate prediction of battery life.

[0005] In a first aspect, an embodiment of the present application provides a method for determining polarization impedance of a battery, the determination method comprising:

[0006] When the battery is in a predetermined state of charge, applying a disturbance signal to the battery;

[0007] Obtaining the rebound voltage signal of the battery to the disturbance signal;

[0008] The polarization impedance of the battery is determined based on the rebound voltage signal.

[0009] In a second aspect, an embodiment of the present application provides a device for determining polarization impedance of a battery, the device comprising:

[0010] A current excitation module, used for applying a disturbance signal to the battery when the battery is in a predetermined state of charge;

[0011] An acquisition module, used for acquiring a rebound voltage signal of the battery to a disturbance signal;

[0012] The determination module is used to determine the polarization impedance of the battery based on the rebound voltage signal.

[0013] In a third aspect, an embodiment of the present application provides an electronic device, including a processor and a memory, wherein the memory stores programs or instructions that can be executed on the processor, and when the programs or instructions are executed by the processor, the steps of the method of the first aspect are implemented.

[0014] In a fourth aspect, an embodiment of the present application provides an electronic device, including:

[0015] Battery;

[0016] A current excitation module, the current excitation module is electrically connected to the battery, and the current excitation module is used to apply a disturbance signal to the battery when the battery is in a predetermined power state;

[0017] A voltage acquisition module is used to obtain a rebound voltage signal of the battery to a disturbance signal; wherein the rebound voltage signal is a signal of the rebound voltage of the battery changing with time;

[0018] A calculation module is used to determine the polarization impedance of the battery based on the rebound voltage signal.

[0019] An embodiment of the present application provides a readable storage medium, on which a program or instruction is stored. When the program or instruction is executed by a processor, the steps of the method of the first aspect are implemented.

[0020] In a fifth aspect, an embodiment of the present application provides a chip, which includes a processor and a communication interface, wherein the communication interface is coupled to the processor, and the processor is used to run programs or instructions to implement the steps of the method of the first aspect.

[0021] In a sixth aspect, an embodiment of the present application provides a computer program product, which is stored in a storage medium and is executed by at least one processor to implement the steps of the method of the first aspect.

[0022] In an embodiment of the present application, a disturbance signal is applied to the battery when the battery is in a predetermined power state, and based on the rebound voltage signal of the battery under different disturbance signals, the polarization impedance under different relaxation times is obtained, such as the relationship between the ohmic polarization impedance, the liquid phase polarization impedance and the solid phase polarization impedance. By decomposing the polarization impedance in detail, a digitized impedance characterization value can be obtained, thereby achieving more accurate monitoring and judgment of the battery health, and further achieving more accurate monitoring and prediction of the cycle life of the lithium-ion battery. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] Figure 1 A flow chart showing a method for determining polarization impedance of a battery according to some embodiments of the present application;

[0024] Figure 2 A schematic diagram showing a method of applying a disturbance signal to a battery in some embodiments of the present application is shown;

[0025] Figure 3 An equivalent circuit diagram of a battery of some embodiments of the present application is shown;

[0026] Figure 4 A waveform diagram showing a rebound voltage of some embodiments of the present application is shown;

[0027] Figure 5 A decomposed schematic diagram showing the polarization impedance of batteries of some embodiments of the present application is shown;

[0028] Figure 6 A schematic diagram showing historical polarization impedance information of some embodiments of the present application;

[0029] Figure 7 A schematic diagram showing polarization impedance curves of some embodiments of the present application;

[0030] Figure 8 A flowchart of adjusting a battery health strategy according to some embodiments of the present application is shown;

[0031] Fig. 9 A structural block diagram showing a device for determining polarization impedance of a battery in some embodiments of the present application is shown;

[0032] Fig.10 A structural block diagram of an electronic device according to an embodiment of the present application is shown;

[0033] Fig.11 A structural block diagram of an electronic device according to some embodiments of the present application is shown;

[0034] Fig.12 A schematic diagram of the hardware structure of an electronic device to implement an embodiment of the present application. DETAILED DESCRIPTION

[0035] The following will be combined with the drawings in the embodiments of the present application to clearly describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, rather than all the embodiments. All other embodiments obtained by ordinary technicians in this field based on the embodiments in the present application belong to the scope of protection of this application.

[0036] The terms "first", "second", etc. in the specification and claims of the present application are used to distinguish similar objects, and are not used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable under appropriate circumstances, so that the embodiments of the present application can be implemented in an order other than those illustrated or described here, and the objects distinguished by "first", "second", etc. are generally of one type, and the number of objects is not limited. For example, the first object can be one or more. In addition, "and / or" in the specification and claims represents at least one of the connected objects, and the character " / " generally indicates that the objects associated with each other are in an "or" relationship.

[0037] In conjunction with the accompanying drawings, the method and device for determining the polarization impedance of a battery, the electronic device, and the storage medium provided in the embodiments of the present application are described in detail through specific embodiments and their application scenarios.

[0038] In some embodiments of the present application, a method for determining polarization impedance of a battery is provided. Figure 1 A flow chart of a method for determining the polarization impedance of a battery in some embodiments of the present application is shown, Figure 1 As shown, the determination method includes:

[0039] Step 102, applying a disturbance signal to the battery when the battery is in a predetermined power state;

[0040] Step 104, obtaining a rebound voltage signal of the battery to the disturbance signal; wherein the rebound voltage signal is a signal of the rebound voltage of the battery changing with time;

[0041] Step 106 : determining the polarization impedance of the battery based on the rebound voltage signal.

[0042] In the embodiment of the present application, taking a lithium-ion battery as an example, based on the polarization principle of lithium-ion batteries, the diffusion time of electrons and lithium ions on different electrode materials is different, and its polarization impedance can be decomposed into ohmic polarization impedance, liquid phase polarization impedance and solid phase polarization impedance.

[0043] Based on the study of the source, distribution, influencing factors of the electrochemical impedance of the battery and the equivalent circuit of the battery in different states, a certain DC disturbance signal is applied to the electrochemical system of the battery, and the rebound voltage signal caused by the battery polarization is obtained. By analyzing and studying the relationship between the DC disturbance signal, the relaxation time of the battery and the rebound voltage signal, the total impedance information of the battery is effectively decomposed and characterized, thereby obtaining the polarization impedance of the battery in a specific stable state, such as the above-mentioned predetermined power state.

[0044] Exemplarily, the predetermined power state is that the battery's state of charge (SOC) is 100%, and the battery cell has not been over-discharged after the battery stops charging. When the battery is in the above state for 1 hour, it is determined that the battery is in the predetermined power state.

[0045] When the battery is in a predetermined power state, a DC excitation current is applied to the battery as a disturbance signal, and a signal of a rebound voltage of the battery changing with time is detected to obtain the rebound voltage signal.

[0046] For example, Figure 2 A schematic diagram of applying a disturbance signal to a battery in some embodiments of the present application is shown, such as Figure 2As shown, assuming that the disturbance signal applied to the battery electrochemical system is X, the relaxation time of the battery is t, and the rebound voltage signal output by the battery electrochemical system for the disturbance signal X is Y, then when the battery is in a stable specific state of charge, the rebound voltage signal it outputs can satisfy the specific function Y=f(t) of the disturbance signal.

[0047] During the battery charging process, the programmable current signal excitation generator generates different excitation currents and time disturbance signals. The voltage signal acquisition module collects the voltage feedback signal caused by the disturbance signal on the battery chemical system in real time, that is, the above-mentioned rebound voltage signal. According to the collected voltage signal and the relaxation time of the battery, the relationship curve between voltage and time is fitted, and then the polarization impedance under different relaxation times is divided according to the equivalent arc of the battery.

[0048] For example, Figure 3 The equivalent circuit diagram of the battery of some embodiments of the present application is shown. When the battery is in a stable predetermined power state, for example, the SOC of the battery reaches 100%, and the battery has not been discharged for a duration of 1 hour after stopping charging, the equivalent circuit diagram of the battery is as follows: Figure 3 As shown, the resistor R Ω is the ohmic polarization impedance, the resistor Rct1 is the liquid phase polarization impedance, the resistor Rct2 is the solid phase polarization impedance, and the capacitors cd1 and cd2 are the equivalent battery capacitors.

[0049] In this state, a second-level excitation current I is generated by the current generator, that is, a disturbance signal is generated to disturb the battery. The voltage acquisition module obtains the rebound voltage signal generated by the battery due to the disturbance signal. The rebound voltage signal includes the rebound voltage value V and time Time. The collected voltage data and time data are fitted to obtain the relationship between voltage and time. Figure 3 The equivalent circuit shown and the relationship between voltage and time mentioned above can be used to obtain the polarization impedance of the battery.

[0050] The embodiments of the present application apply a disturbance signal to the battery when the battery is in a predetermined power state, and based on the rebound voltage signal of the battery under different disturbance signals, obtain polarization impedance under different relaxation times, such as the relationship between ohmic polarization impedance, liquid phase polarization impedance and solid phase polarization impedance. By decomposing the polarization impedance in detail, a digitized impedance characterization value can be obtained, thereby achieving more accurate monitoring and judgment of the battery health, and further achieving more accurate monitoring and prediction of the cycle life of lithium-ion batteries.

[0051] In some embodiments of the present application, obtaining a rebound voltage signal of a battery in response to a disturbance signal includes: obtaining the rebound voltage signal of the battery within a relaxation time of the battery.

[0052] In the embodiment of the present application, the relaxation time of the above-mentioned battery is the time required for the battery to recover to a stable voltage state after a rebound voltage is generated by a disturbance signal.

[0053] For example, Figure 4 The waveform diagram of the rebound voltage of some embodiments of the present application is shown as follows: Figure 4 As shown in the figure, when the battery is in a predetermined power state, the battery voltage is in a stable state. At this time, if a DC excitation current is applied to the battery as a disturbance signal, the battery voltage will drop. After the disturbance signal ends, the battery voltage will gradually rise and stabilize at the initial voltage. This rising voltage is the above-mentioned rebound voltage.

[0054] Figure 5 A schematic diagram of the decomposition of the polarization impedance of the battery of some embodiments of the present application is shown, as shown in Figure 5 As shown, Figure 4 By decomposing the rebound voltage signal part within the relaxation time in , we can get the parameters characterizing various polarization impedances, specifically the ohmic polarization impedance, liquid phase polarization impedance and solid phase polarization impedance, where b0 is the total impedance of the battery, b1 is the ohmic polarization impedance of the battery, b2 is the liquid phase polarization impedance of the battery, and b3 is the solid phase polarization impedance of the battery.

[0055] The embodiment of the present application can accurately characterize the polarization impedance of the battery by collecting the rebound voltage signal within the relaxation time after the battery receives the disturbance signal, and the battery health can be more accurately monitored and predicted through the polarization impedance.

[0056] In some embodiments of the present application, determining the polarization impedance of the battery based on the rebound voltage signal includes:

[0057] Determine the total impedance of the battery; determine the polarization impedance based on the total impedance of the battery, the rebound voltage signal and a preset time coefficient.

[0058] In the embodiment of the present application, when determining the total impedance of the battery, it can be calculated by the voltage difference and current difference of the battery within a certain period of time. For example, assuming that the voltage difference within a certain period of time is dV and the current difference is dI, the total impedance b0=dV÷dI.

[0059] After obtaining the total impedance of the battery, based on Figure 3 The equivalent circuit shown, and Figure 5 The relationship between the rebound voltage and time in the rebound voltage signal can be decomposed into the polarization impedance of the battery by the following formula (1):

[0060]

[0061] Among them, f(time) is the rebound voltage, time is the time, b0 is the total impedance of the battery, b1 is the ohmic polarization impedance of the battery, b2 is the liquid phase polarization impedance of the battery, b3 is the solid phase polarization impedance of the battery, k1 and k2 are preset time coefficients, and satisfy 0.001<k1<1, k1<k2<1000, and e is the natural logarithm.

[0062] The embodiment of the present application can more accurately determine and predict the health and cycle life of the battery by decomposing the polarization impedances in the total impedance of the battery.

[0063] In some embodiments of the present application, after determining the polarization impedance of the battery based on the rebound voltage signal, the determination method further includes:

[0064] Obtain historical polarization impedance information of the battery; wherein the historical polarization impedance information includes multiple historical charge and discharge cycle numbers of the battery, and historical polarization impedance corresponding to each historical charge and discharge cycle number; and generate a polarization impedance curve by fitting based on the historical polarization impedance information.

[0065] In the embodiments of the present application, the cycle life information of the battery refers to the number of charge and discharge cycles that the battery can complete under specific charge and discharge conditions, provided that the battery performance and safety are not affected. The cycle life of the battery is a key indicator for measuring battery performance and durability, and is particularly important for applications such as portable electronic devices and electric vehicles. Therefore, it is necessary to monitor the cycle life information of the batteries in use in real time, so as to issue a replacement prompt before the battery reaches its cycle life limit, thereby ensuring battery performance and battery safety.

[0066] As the battery is used for a long time and the number of charge and discharge cycles increases, the battery will gradually age and decay under various application conditions. The mechanism of battery aging is that the shuttle of electrons and lithium ions in the electrodes is hindered, which is reflected in the increase of battery impedance. Therefore, the polarization impedance of the battery can well reflect the charge and discharge cycle life of the battery.

[0067] The historical polarization impedance information of the battery is recorded at a specific number of charge and discharge cycles of the battery, such as the battery in the 1st charge and discharge cycle, the 50th charge and discharge cycle, the 100th charge and discharge cycle, the 200th charge and discharge cycle ... the 1000th charge and discharge cycle, by applying a disturbance signal to the battery and collecting the corresponding rebound voltage signal to determine the historical polarization impedance information of the battery at the above charge and discharge cycle numbers.

[0068] For example, Figure 6 A schematic diagram showing historical polarization impedance information of some embodiments of the present application is shown in FIG. Figure 6As shown, the value of b2 characterizing the liquid phase polarization impedance with the cycle number is recorded as b2-n. For example, the liquid phase polarization impedance characterization value calculated by fitting after the 100th charge and discharge cycle is b2-100, and the liquid phase polarization impedance characterization value calculated by fitting after the 1000th charge and discharge cycle is b2-1000. The above data are saved to obtain the historical polarization impedance information.

[0069] Figure 7 Schematic diagrams showing polarization impedance curves of some embodiments of the present application are shown in FIG. Figure 7 As shown, at the host end, such as the electronic device end equipped with the above-mentioned battery, these historical polarization impedance information are fitted to obtain Figure 7 The polarization impedance curve shown can predict the battery cycle life information in advance by fitting the changes in the polarization impedance curve. The cycle life information can predict the remaining cycle life of the battery in advance, so as to adjust the battery charging and discharging strategy on the host side to extend the battery cycle life as much as possible.

[0070] In the embodiment of the present application, during the normal charge and discharge cycle of the battery, the historical polarization impedance information of the battery is recorded, and a polarization impedance curve is fitted based on the historical polarization impedance information and the corresponding number of charge and discharge cycles. The polarization impedance curve can reflect the trend of the polarization impedance of the battery changing with the increase of the number of charge and discharge cycles. Therefore, there is no need to determine the polarization impedance of the battery by injecting a disturbance signal in each charge and discharge cycle, and the remaining cycle life of the battery can be accurately determined.

[0071] In some embodiments of the present application, after fitting and generating a polarization impedance curve according to historical polarization impedance information and polarization impedance information, the determination method further includes:

[0072] Obtain the current number of charge and discharge cycles of the battery; determine the predicted polarization impedance corresponding to the current number of charge and discharge cycles according to the current number of charge and discharge cycles and the polarization impedance curve; when the predicted polarization impedance is greater than the polarization impedance threshold corresponding to the current number of charge and discharge cycles, adjust the health strategy of the battery; wherein the health strategy includes any one or a combination of the following: the voltage reduction amplitude of the battery when it is fully charged, the charging temperature threshold of the battery, and the maximum power threshold of the battery.

[0073] In the embodiment of the present application, the above polarization impedance curve is obtained by fitting the historical polarization impedance information and the corresponding number of charge and discharge cycles. Therefore, the polarization impedance of the battery at the current number of charge and discharge cycles can be predicted through the polarization impedance curve.

[0074] When the battery is in a charge and discharge cycle, at a specific charge and discharge cycle number, or in each charge and discharge cycle, the polarization impedance under the current charge and discharge cycle is predicted by the polarization impedance curve, and the polarization impedance threshold under the current charge and discharge cycle number is obtained. Exemplarily, when the battery is produced, the polarization impedance threshold under each charge and discharge cycle number can be pre-stored in the battery management system or in the terminal device where the battery is installed. The polarization impedance threshold represents the maximum polarization impedance at each charge and discharge cycle number under the normal aging rate of the battery.

[0075] If the predicted polarization impedance is greater than the polarization impedance threshold, it means that the battery ages faster than expected. If the predicted polarization impedance is not greater than the polarization impedance threshold, it means that the battery ages as expected.

[0076] Exemplarily, assuming that the current battery is in the n+mth charge and discharge cycle, the polarization impedance curve is obtained by fitting the polarization impedance collected in the previous n charge and discharge cycles, and the polarization impedance threshold of the current n+mth charge and discharge cycle is set to A. The polarization impedance curve is obtained by fitting the previous n charge and discharge cycles, and the predicted polarization impedance of the n+mth charge and discharge cycle is predicted to be B.

[0077] If A≥B, that is, the predicted polarization impedance does not exceed the polarization impedance threshold, it means that the battery aging rate is as expected and the current battery health strategy can be maintained unchanged.

[0078] If A<B, that is, the predicted polarization impedance does not exceed the polarization impedance threshold, it means that the battery is aging too fast. At this time, the battery health strategy needs to be adjusted so that the battery can work under milder conditions and slow down the aging of the battery.

[0079] For example, Figure 8 A flowchart of adjusting the battery health strategy in some embodiments of the present application is shown. Figure 8 As shown, the process includes:

[0080] Step 802, recording the polarization impedance of the first n battery cycles;

[0081] Step 804, fitting the relationship curve between the number of cycles and the polarization impedance to obtain a polarization impedance curve;

[0082] Step 806, predicting the predicted polarization impedance B of the (n+m)th battery cycle;

[0083] Step 808, determining whether the predicted polarization impedance B exceeds the polarization impedance threshold A; if yes, proceed to step 810A; otherwise, proceed to step 810B;

[0084] Step 810A, adjusting the battery health strategy;

[0085] Step 810B, maintain battery health strategy.

[0086] Exemplarily, the battery health strategy includes a voltage reduction amplitude when the battery is fully charged. If A<B is satisfied, the voltage reduction amplitude when the battery is fully charged is increased.

[0087] Exemplarily, the battery health strategy also includes a battery charging temperature threshold, and if A<B is satisfied, the battery charging temperature threshold is lowered. When the battery charging temperature is greater than the battery charging temperature threshold, the battery stops charging.

[0088] Exemplarily, the battery health strategy also includes a maximum power threshold of the battery. If A<B is satisfied, the maximum power threshold of the battery is reduced. When the current power of the battery reaches the maximum power threshold of the battery, the battery stops charging.

[0089] The embodiment of the present application compares the predicted polarization impedance and the polarization impedance threshold, and dynamically adjusts the battery health strategy according to the comparison result, thereby avoiding premature aging of the battery and extending the battery cycle life.

[0090] The method for determining the polarization impedance of a battery provided in the embodiment of the present application may be performed by a device for determining the polarization impedance of a battery. In the embodiment of the present application, the method for determining the polarization impedance of a battery performed by the device for determining the polarization impedance of a battery is taken as an example to illustrate the device for determining the polarization impedance of a battery provided in the embodiment of the present application.

[0091] In some embodiments of the present application, a device for determining polarization impedance of a battery is provided. Fig. 9 A structural block diagram of a device for determining polarization impedance of a battery in some embodiments of the present application is shown. Fig. 9 As shown, the determining device 900 includes:

[0092] A current excitation module 902, used to apply a disturbance signal to the battery when the battery is in a predetermined power state;

[0093] The acquisition module 904 is used to acquire a rebound voltage signal of the battery to the disturbance signal; wherein the rebound voltage signal is a signal of the rebound voltage of the battery changing with time;

[0094] The determination module 906 is configured to determine the polarization impedance of the battery based on the rebound voltage signal.

[0095] The embodiments of the present application apply a disturbance signal to the battery when the battery is in a predetermined power state, and based on the rebound voltage signal of the battery under different disturbance signals, obtain polarization impedance under different relaxation times, such as the relationship between ohmic polarization impedance, liquid phase polarization impedance and solid phase polarization impedance. By decomposing the polarization impedance in detail, a digitized impedance characterization value can be obtained, thereby achieving more accurate monitoring and judgment of the battery health, and further achieving more accurate monitoring and prediction of the cycle life of lithium-ion batteries.

[0096] In some embodiments of the present application, the acquisition module is further used to acquire a rebound voltage signal of the battery during the relaxation time of the battery.

[0097] The embodiment of the present application can accurately characterize the polarization impedance of the battery by collecting the rebound voltage signal within the relaxation time after the battery receives the disturbance signal, and the battery health can be more accurately monitored and predicted through the polarization impedance.

[0098] In some embodiments of the present application, the determination module is further used to determine the total impedance of the battery; and determine the polarization impedance according to the total impedance of the battery, the rebound voltage signal and a preset time coefficient.

[0099] The embodiment of the present application can more accurately determine and predict the health and cycle life of the battery by decomposing the polarization impedances in the total impedance of the battery.

[0100] In some embodiments of the present application, the acquisition module is also used to obtain historical polarization impedance information of the battery; wherein the historical polarization impedance information includes multiple historical charge and discharge cycles of the battery, and the historical polarization impedance corresponding to each historical charge and discharge cycle number; the determination device also includes: a generation module, which is used to fit and generate a polarization impedance curve based on the historical polarization impedance information.

[0101] In the embodiment of the present application, during the normal charge and discharge cycle of the battery, the historical polarization impedance information of the battery is recorded, and a polarization impedance curve is fitted based on the historical polarization impedance information and the corresponding number of charge and discharge cycles. The polarization impedance curve can reflect the trend of the polarization impedance of the battery changing with the increase of the number of charge and discharge cycles. Therefore, there is no need to determine the polarization impedance of the battery by injecting a disturbance signal in each charge and discharge cycle, and the remaining cycle life of the battery can be accurately determined.

[0102] In some embodiments of the present application, the acquisition module is also used to obtain the current number of charge and discharge cycles of the battery; the determination module is also used to determine the predicted polarization impedance corresponding to the current number of charge and discharge cycles based on the current number of charge and discharge cycles and the polarization impedance curve.

[0103] The determination device also includes: a strategy adjustment module, which is used to adjust the health strategy of the battery when the predicted polarization impedance is greater than the polarization impedance threshold corresponding to the current number of charge and discharge cycles; wherein the health strategy includes any one or a combination of the following: the voltage reduction amplitude of the battery when it is fully charged, the charging temperature threshold of the battery, and the maximum power threshold of the battery.

[0104] The embodiment of the present application compares the predicted polarization impedance and the polarization impedance threshold, and dynamically adjusts the battery health strategy according to the comparison result, thereby avoiding premature aging of the battery and extending the battery cycle life.

[0105] The device for determining the polarization impedance of the battery in the embodiment of the present application can be an electronic device, or a component in the electronic device, such as an integrated circuit or a chip. The electronic device can be a terminal, or it can be other devices other than the terminal. Exemplarily, the electronic device can be a mobile phone, a tablet computer, a laptop computer, a PDA, a vehicle-mounted electronic device, a mobile Internet device (Mobile Internet Device, MID), an augmented reality (augmented reality, AR) / virtual reality (virtual reality, VR) device, a robot, a wearable device, an ultra-mobile personal computer (ultra-mobile personal computer, UMPC), a netbook or a personal digital assistant (personal digital assistant, PDA), etc., and can also be a server, a network attached storage (Network Attached Storage, NAS), a personal computer (personal computer, PC), a television (television, TV), a teller machine or a self-service machine, etc., which is not specifically limited in the embodiment of the present application.

[0106] The device for determining the polarization impedance of the battery in the embodiment of the present application may be a device having an operating system. The operating system may be an Android operating system, an iOS operating system, or other possible operating systems, which are not specifically limited in the embodiment of the present application.

[0107] The device for determining the polarization impedance of a battery provided in the embodiment of the present application can implement each process implemented in the above method embodiment, and will not be described again here to avoid repetition.

[0108] Optionally, an embodiment of the present application further provides an electronic device, Fig.10 A structural block diagram of an electronic device according to an embodiment of the present application is shown. Fig.10As shown, the electronic device 1000 includes a processor 1002, a memory 1004, and a program or instruction stored in the memory 1004 and executable on the processor 1002. When the program or instruction is executed by the processor 1002, each process of the above-mentioned method embodiment is implemented, and the same technical effect can be achieved. To avoid repetition, it will not be described here.

[0109] It should be noted that the electronic devices in the embodiments of the present application include the above-mentioned mobile electronic devices and non-mobile electronic devices.

[0110] In some embodiments of the present application, an electronic device is provided. Fig.11 The structure block diagram of the electronic device of some embodiments of the present application is shown as follows: Fig.11 As shown, the electronic device 1100 includes:

[0111] Battery 1102;

[0112] A current excitation module 1104, which is electrically connected to the battery and is used to apply a disturbance signal to the battery when the battery is in a predetermined power state;

[0113] The voltage acquisition module 1106 is used to obtain a rebound voltage signal of the battery to the disturbance signal; wherein the rebound voltage signal is a signal of the rebound voltage of the battery changing with time;

[0114] The calculation module 1108 is used to determine the polarization impedance of the battery based on the rebound voltage signal.

[0115] In an embodiment of the present application, the electronic device 1100 can be a mobile terminal such as a mobile phone. Through the preset current value in the preset current excitation module 1104, under certain appropriate conditions, the voltage acquisition module 1106 can collect voltage and time information during the voltage rebound process. The calculation module 1108 fits the relationship between voltage and time based on the preset equivalent circuit to the collected information, and obtains parameters that characterize various polarization impedances, and predicts the battery cycle life or warns of the battery health and safety status through planned impedance.

[0116] Among them, battery 1102 is used to supply power to electronic devices. Judgment module 1110 is used to judge the state of the battery and determine whether it is in a suitable detection state. Calculation module 1108 is used for simulation calculation of battery polarization impedance spectrum. Current excitation module 1104 is used to output a preset current signal, that is, the above-mentioned disturbance signal. Voltage acquisition module 1106 is used to collect information such as voltage and time of battery 1102 after outputting the disturbance signal. Calculation module 1108 fits and calculates and decomposes various parameters characterizing polarization impedance based on the collected voltage and time information, which is used to predict battery cycle life or warn of battery health and safety status. Warning module 1112 will warn and start different battery health strategies according to the warning level.

[0117] The embodiments of the present application apply a disturbance signal to the battery when the battery is in a predetermined power state, and based on the rebound voltage signal of the battery under different disturbance signals, obtain polarization impedance under different relaxation times, such as the relationship between ohmic polarization impedance, liquid phase polarization impedance and solid phase polarization impedance. By decomposing the polarization impedance in detail, a digitized impedance characterization value can be obtained, thereby achieving more accurate monitoring and judgment of the battery health, and further achieving more accurate monitoring and prediction of the cycle life of lithium-ion batteries.

[0118] Fig.12 A schematic diagram of the hardware structure of an electronic device to implement an embodiment of the present application.

[0119] The electronic device 1200 includes but is not limited to: a radio frequency unit 1201, a network module 1202, an audio output unit 1203, an input unit 1204, a sensor 1205, a display unit 1206, a user input unit 1207, an interface unit 1208, a memory 1209, and a processor 1210 and other components.

[0120] Those skilled in the art will appreciate that the electronic device 1200 may also include a power source (such as a battery) for supplying power to each component, and the power source may be logically connected to the processor 1210 through a power management system, thereby implementing functions such as managing charging, discharging, and power consumption management through the power management system. Fig.12 The electronic device structure shown in the figure does not constitute a limitation on the electronic device. The electronic device may include more or fewer components than shown in the figure, or combine certain components, or arrange the components differently, which will not be described in detail here.

[0121] Among them, the processor 1210 is used to apply a disturbance signal to the battery when the battery is in a predetermined power state; obtain a rebound voltage signal of the battery to the disturbance signal; wherein the rebound voltage signal is a signal of the rebound voltage of the battery changing with time; and determine the polarization impedance of the battery based on the rebound voltage signal.

[0122] The embodiments of the present application apply a disturbance signal to the battery when the battery is in a predetermined power state, and based on the rebound voltage signal of the battery under different disturbance signals, obtain polarization impedance under different relaxation times, such as the relationship between ohmic polarization impedance, liquid phase polarization impedance and solid phase polarization impedance. By decomposing the polarization impedance in detail, a digitized impedance characterization value can be obtained, thereby achieving more accurate monitoring and judgment of the battery health, and further achieving more accurate monitoring and prediction of the cycle life of lithium-ion batteries.

[0123] Optionally, the processor 1210 is further configured to obtain a rebound voltage signal of the battery during the relaxation time of the battery.

[0124] The embodiment of the present application can accurately characterize the polarization impedance of the battery by collecting the rebound voltage signal within the relaxation time after the battery receives the disturbance signal, and the battery health can be more accurately monitored and predicted through the polarization impedance.

[0125] Optionally, the processor 1210 is further configured to determine the total impedance of the battery; and determine the polarization impedance according to the total impedance of the battery, the rebound voltage signal and a preset time coefficient.

[0126] The embodiment of the present application can more accurately determine and predict the health and cycle life of the battery by decomposing the polarization impedances in the total impedance of the battery.

[0127] Optionally, the processor 1210 is also used to obtain historical polarization impedance information of the battery; wherein the historical polarization impedance information includes multiple historical charge and discharge cycles of the battery, and the historical polarization impedance corresponding to each historical charge and discharge cycle number; the determination device also includes: a generation module, which is used to fit and generate a polarization impedance curve based on the historical polarization impedance information.

[0128] In the embodiment of the present application, during the normal charge and discharge cycle of the battery, the historical polarization impedance information of the battery is recorded, and a polarization impedance curve is fitted based on the historical polarization impedance information and the corresponding number of charge and discharge cycles. The polarization impedance curve can reflect the trend of the polarization impedance of the battery changing with the increase of the number of charge and discharge cycles. Therefore, there is no need to determine the polarization impedance of the battery by injecting a disturbance signal in each charge and discharge cycle, and the remaining cycle life of the battery can be accurately determined.

[0129] Optionally, the processor 1210 is further used to obtain the current number of charge and discharge cycles of the battery; the determination module is further used to determine the predicted polarization impedance corresponding to the current number of charge and discharge cycles according to the current number of charge and discharge cycles and the polarization impedance curve. When the predicted polarization impedance is greater than the polarization impedance threshold corresponding to the current number of charge and discharge cycles, the health strategy of the battery is adjusted; wherein the health strategy includes any one or a combination of the following: the voltage reduction amplitude of the battery in a fully charged state, the charging temperature threshold of the battery, and the maximum power threshold of the battery.

[0130] The embodiment of the present application compares the predicted polarization impedance and the polarization impedance threshold, and dynamically adjusts the battery health strategy according to the comparison result, thereby avoiding premature aging of the battery and extending the battery cycle life.

[0131] It should be understood that in the embodiment of the present application, the input unit 1204 may include a graphics processor (Graphics Processing Unit, GPU) 12041 and a microphone 12042, and the graphics processor 12041 processes the image data of the static picture or video obtained by the image capture device (such as a camera) in the video capture mode or the image capture mode. The display unit 1206 may include a display panel 12061, and the display panel 12061 may be configured in the form of a liquid crystal display, an organic light emitting diode, etc. The user input unit 1207 includes a touch panel 12071 and at least one of other input devices 12072. The touch panel 12071 is also called a touch screen. The touch panel 12071 may include two parts: a touch detection device and a touch controller. Other input devices 12072 may include, but are not limited to, a physical keyboard, function keys (such as volume control keys, switch keys, etc.), a trackball, a mouse, and a joystick, which will not be repeated here.

[0132] The memory 1209 can be used to store software programs and various data. The memory 1209 may mainly include a first storage area for storing programs or instructions and a second storage area for storing data, wherein the first storage area may store an operating system, an application program or instructions required for at least one function (such as a sound playback function, an image playback function, etc.), etc. In addition, the memory 1209 may include a volatile memory or a non-volatile memory, or the memory 1209 may include both volatile and non-volatile memories. Among them, the non-volatile memory may be a read-only memory (ROM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), an electrically erasable programmable read-only memory (EEPROM), or a flash memory. The volatile memory may be a random access memory (RAM), a static random access memory (SRAM), a dynamic random access memory (DRAM), a synchronous dynamic random access memory (SDRAM), a double data rate synchronous dynamic random access memory (DDRSDRAM), an enhanced synchronous dynamic random access memory (ESDRAM), a synchronous link dynamic random access memory (SLDRAM) and a direct memory bus random access memory (DRRAM). The memory 1209 in the embodiment of the present application includes but is not limited to these and any other suitable types of memory.

[0133] The processor 1210 may include one or more processing units; optionally, the processor 1210 integrates an application processor and a modem processor, wherein the application processor mainly processes operations related to an operating system, a user interface, and application programs, and the modem processor mainly processes wireless communication signals, such as a baseband processor. It is understandable that the modem processor may not be integrated into the processor 1210.

[0134] An embodiment of the present application also provides a readable storage medium, on which a program or instruction is stored. When the program or instruction is executed by a processor, the various processes of the above-mentioned method embodiment are implemented and the same technical effect can be achieved. To avoid repetition, it will not be repeated here.

[0135] The processor is a processor in the electronic device described in the above embodiment. The readable storage medium includes a computer readable storage medium, such as a computer read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

[0136] An embodiment of the present application further provides a chip, which includes a processor and a communication interface, wherein the communication interface is coupled to the processor, and the processor is used to run programs or instructions to implement the various processes of the above-mentioned method embodiment, and can achieve the same technical effect. To avoid repetition, it will not be repeated here.

[0137] It should be understood that the chip mentioned in the embodiments of the present application can also be called a system-level chip, a system chip, a chip system or a system-on-chip chip, etc.

[0138] An embodiment of the present application provides a computer program product, which is stored in a storage medium. The program product is executed by at least one processor to implement the various processes of the above-mentioned method embodiment and can achieve the same technical effect. To avoid repetition, it will not be repeated here.

[0139] It should be noted that, in this article, the terms "comprise", "include" or any other variant thereof are intended to cover non-exclusive inclusion, so that the process, method, article or device including a series of elements includes not only those elements, but also includes other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise one..." do not exclude the presence of other identical elements in the process, method, article or device including the element. In addition, it should be pointed out that the scope of the methods and devices in the embodiments of the present application is not limited to performing functions in the order shown or discussed, and may also include performing functions in a substantially simultaneous manner or in reverse order according to the functions involved, for example, the described method may be performed in an order different from that described, and various steps may also be added, omitted, or combined. In addition, the features described with reference to certain examples may be combined in other examples.

[0140] Through the description of the above implementation methods, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of software plus a necessary general hardware platform, and of course by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present application, or the part that contributes to the prior art, can be embodied in the form of a computer software product, which is stored in a storage medium (such as ROM / RAM, a disk, or an optical disk), and includes a number of instructions for a terminal (which can be a mobile phone, a computer, a server, or a network device, etc.) to execute the methods described in each embodiment of the present application.

[0141] The embodiments of the present application are described above in conjunction with the accompanying drawings, but the present application is not limited to the above-mentioned specific implementation methods. The above-mentioned specific implementation methods are merely illustrative and not restrictive. Under the guidance of the present application, ordinary technicians in this field can also make many forms without departing from the purpose of the present application and the scope of protection of the claims, all of which are within the protection of the present application.

Claims

1. A method for determining the polarization impedance of a battery, characterized in that: The determination method comprises: When the battery is in a predetermined state of charge, applying a disturbance signal to the battery; Acquire a rebound voltage signal of the battery in response to the disturbance signal; wherein the rebound voltage signal is a signal of the rebound voltage of the battery changing with time; A polarization impedance of the battery is determined based on the rebound voltage signal.

2. The determination method according to claim 1, characterized in that: The obtaining of a rebound voltage signal of the battery in response to the disturbance signal comprises: During the relaxation time of the battery, a rebound voltage signal of the battery is obtained.

3. The determination method according to claim 1, characterized in that: The determining the polarization impedance of the battery based on the rebound voltage signal comprises: determining a total impedance of the battery; The polarization impedance is determined according to the total impedance of the battery, the rebound voltage signal and a preset time coefficient.

4. The determination method according to claim 1, characterized in that: After determining the polarization impedance of the battery based on the rebound voltage signal, the determination method further includes: Acquire historical polarization impedance information of the battery; wherein the historical polarization impedance information includes a plurality of historical charge and discharge cycle numbers of the battery, and a historical polarization impedance corresponding to each of the historical charge and discharge cycle numbers; A polarization impedance curve is generated by fitting according to the historical polarization impedance information and the polarization impedance information.

5. The determination method according to claim 4, characterized in that: After fitting and generating a polarization impedance curve according to the historical polarization impedance information and the polarization impedance information, the determination method further includes: Obtaining the current number of charge and discharge cycles of the battery; Determining a predicted polarization impedance corresponding to the current number of charge and discharge cycles according to the current number of charge and discharge cycles and the polarization impedance curve; When the predicted polarization impedance is greater than a polarization impedance threshold corresponding to the current number of charge and discharge cycles, adjusting the health strategy of the battery; The health strategy includes any one or a combination of the following: a voltage reduction amplitude of the battery when it is fully charged, a charging temperature threshold of the battery, and a maximum power threshold of the battery.

6. A device for determining polarization impedance of a battery, characterized in that: The determining device comprises: a current excitation module, used for applying a disturbance signal to the battery when the battery is in a predetermined power state; An acquisition module, used for acquiring a rebound voltage signal of the battery in response to the disturbance signal; wherein the rebound voltage signal is a signal of the rebound voltage of the battery changing with time; A determination module is used to determine the polarization impedance of the battery based on the rebound voltage signal.

7. The determination device according to claim 6, characterized in that: The acquisition module is further used to acquire the rebound voltage signal of the battery during the relaxation time of the battery.

8. The determination device according to claim 7, characterized in that: The determination module is further configured to determine the total impedance of the battery; and The polarization impedance is determined according to the total impedance of the battery, the rebound voltage signal and a preset time coefficient.

9. The determination device according to claim 6, characterized in that: The acquisition module is further used to acquire historical polarization impedance information of the battery; wherein the historical polarization impedance information includes multiple historical charge and discharge cycle numbers of the battery, and historical polarization impedance corresponding to each of the historical charge and discharge cycle numbers; The determining device also includes: A generating module is used to fit and generate a polarization impedance curve according to the historical polarization impedance information and the polarization impedance information.

10. The determination device according to claim 9, characterized in that: The acquisition module is further used to acquire the current number of charge and discharge cycles of the battery; The determination module is further used to determine the predicted polarization impedance corresponding to the current number of charge and discharge cycles according to the current number of charge and discharge cycles and the polarization impedance curve; The determining device also includes: A strategy adjustment module, configured to adjust the health strategy of the battery when the predicted polarization impedance is greater than a polarization impedance threshold corresponding to the current number of charge and discharge cycles; The health strategy includes any one or a combination of the following: a voltage reduction amplitude of the battery when it is fully charged, a charging temperature threshold of the battery, and a maximum power threshold of the battery.

11. An electronic device, characterized in that: The method comprises a processor and a memory, wherein the memory stores a program or instruction that can be run on the processor, and when the program or instruction is executed by the processor, the steps of the method according to any one of claims 1 to 5 are implemented.

12. An electronic device, characterized in that: include: Battery; a current excitation module, the current excitation module being electrically connected to the battery, and the current excitation module being used to apply a disturbance signal to the battery when the battery is in a predetermined power state; A voltage acquisition module, used to obtain a rebound voltage signal of the battery to the disturbance signal; wherein the rebound voltage signal is a signal of the rebound voltage of the battery changing with time; A calculation module is used to determine the polarization impedance of the battery based on the rebound voltage signal.

13. A readable storage medium, characterized in that: The readable storage medium stores a program or instruction, and when the program or instruction is executed by a processor, the steps of the method according to any one of claims 1 to 5 are implemented.

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