TW202303175A - Battery rapid screening method and battery rapid screening system - Google Patents

Abstract

An battery rapid screening method and a battery rapid screening system are provided. The battery rapid screening method includes the following steps: discharging a battery so that a state of charge of the battery after discharge is lower than or equal to a first preset ratio; measuring the battery by an electrochemical impedance spectrum analyzer to obtain an electrochemical impedance spectrum corresponding to the battery; performing an equivalent circuit simulation on the electrochemical impedance spectrum to obtain a plurality of impedance parameters of an equivalent circuit model; determining whether the battery is revivable according to a classification condition and the plurality of impedance parameters by a linear classifier.

Description

Battery rapid screening method and battery rapid screening system

The present invention relates to a battery health assessment technology, and in particular to a battery quick screening method and a battery quick screening system.

At present, the battery industry is facing the problem that a large number of obsolete batteries need to be recycled, but the benefits of recycling precious metals in batteries are far from enough to recycle them. Therefore, how to quickly and effectively judge whether batteries can be activated and reused has become an important issue in the current industry. tough question. In this regard, the traditional battery reactivation screening method is to conduct a time-consuming actual charging test on the battery, and then judge whether the battery can be activated and reused after judging the storage result of the battery. In this regard, the judgment of the storage result of the storage battery is often prone to misjudgment. Therefore, the traditional battery reactivation screening method has the disadvantages of time-consuming and imprecise.

In view of this, the present invention provides a battery rapid screening method and a battery rapid screening system, which can effectively and quickly determine whether the battery is activatable.

The battery quick screening method of the present invention includes the following steps: discharging the battery so that the state of charge of the battery after discharge is lower than or equal to the first preset ratio; measuring the battery through an electrochemical impedance spectrum analyzer to obtain the corresponding Electrochemical impedance spectroscopy; performing equivalent circuit simulation on electrochemical impedance spectroscopy to obtain multiple impedance parameters of the equivalent circuit model; and judging whether the battery is activatable according to the classification conditions and multiple impedance parameters through a linear classifier.

The battery quick screening system of the present invention includes an electrochemical impedance spectrum analyzer, an analog module and a linear classifier. The electrochemical impedance spectrum analyzer is used to measure the battery and perform equivalent circuit fitting to obtain the electrochemical impedance spectrum corresponding to the battery. The battery is discharged before the measurement, so that the state of charge of the battery after discharge is lower than or equal to the first preset ratio. The simulation module is coupled to the electrochemical impedance spectrum analyzer, and is used for performing equivalent circuit simulation on the electrochemical impedance spectrum, so as to obtain multiple impedance parameters of the equivalent circuit model. The linear classifier is coupled to the simulation module, and is used for judging whether the storage battery is activatable according to the classification condition and a plurality of impedance parameters.

Based on the above, the battery rapid screening method and the battery rapid screening system of the present invention can analyze multiple impedance parameters generated by the equivalent circuit simulation of the electrochemical impedance spectrum of the battery through a linear classifier, so as to realize rapid screening. Whether the battery is activatable or not, and the screening results can be highly accurate.

In order to make the above-mentioned features and advantages of the present invention more comprehensible, the following specific embodiments are described in detail together with the accompanying drawings.

In order to make the content of the present invention more comprehensible, the following specific embodiments are taken as examples in which the present disclosure can indeed be implemented. In addition, wherever possible, elements/components/steps using the same reference numerals in the drawings and embodiments represent the same or similar parts.

FIG. 1 is a schematic diagram of a battery rapid screening system according to an embodiment of the present invention. Referring to FIG. 1 , the rapid battery screening system 100 includes an analog module 110 , a linear classifier (Linear Classifiers) 120 and an Electrochemical Impedance Spectroscopy (EIS) analyzer 130 . The simulation module 110 is coupled to a linear classifier 120 and an electrochemical impedance spectrum analyzer 130 . In this embodiment, the simulation module 110 can be, for example, ZVIEW simulation software or other equivalent circuit simulation software. The simulation module 110 can perform equivalent circuit fitting on the value measured by the electrochemical impedance spectrum analyzer 130 of the discharged battery 200, and analyze multiple impedance parameters in the equivalent circuit to match the linear The classifier 120 judges whether the battery 200 is activatable according to a plurality of impedance parameters. In addition, in some other embodiments of the present invention, the rapid battery screening system 100 can also be implemented by using non-linear classifiers (Non-Linear Classifiers).

In this embodiment, the battery rapid screening system 100 can be realized by, for example, a computing device and an electrochemical impedance spectrum analyzer 130 , wherein the computing device can be, for example, a computer device, and can include a processor and a memory (Memory). The simulation module 110 and the linear classifier 120 can be software programs or algorithms respectively, and are pre-written or stored in the memory for access and execution by the processor. In addition, the computing device can be electrically connected to the EIS analyzer 130 through wires, so as to obtain the EIS analysis data outputted by the EIS analyzer 130 after analyzing the storage battery 200 .

The aforementioned computer device can be, for example, a desktop computer (Desktop Computer), a personal computer (Personal Computer, PC), a notebook computer (Laptop PC) or a tablet computer (Tablet PC), etc., and the present invention is not limited thereto. The aforementioned processor may, for example, include a central processing unit (Central Processing Unit, CPU) with computing functions, or other programmable general-purpose or special-purpose microprocessors (microprocessors), digital signal processors (Digital Signal Processors) , DSP), programmable controller, application specific integrated circuit (Application Specific Integrated Circuits, ASIC), programmable logic device (Programmable Logic Device, PLD), other similar processing devices or a combination of these devices. The aforementioned memory can be, for example, Dynamic Random Access Memory (Dynamic Random Access Memory, DRAM), Flash memory (Flash memory) or Non-Volatile Random Access Memory (Non-Volatile Random Access Memory, NVRAM), etc. .

However, the hardware implementation of the rapid battery screening system 100 of this embodiment is not limited to the above. In some embodiments of the present invention, the simulation module 110 and the linear classifier 120 can also be executed or realized by different computing devices, or the simulation module 110, the linear classifier 120 and the electrochemical impedance spectrum analyzer 130 are all integrated into a single computing device. Even, the simulation module 110 and the linear classifier 120 can also be executed or realized through the computing platform of the cloud server.

FIG. 2 is a flowchart of a battery rapid screening method according to an embodiment of the present invention. Referring to FIG. 1 and FIG. 2 , the rapid battery screening system 100 may perform the following steps S210 - S240 to realize rapid battery screening. In step S210, the battery 200 is discharged, so that the discharged state-of-charge (SOC) of the battery 200 is lower than or equal to a first preset ratio. In this embodiment, before the quick screening of the battery 200 , the user can discharge the battery 200 so that the state of charge of the battery 200 is lower than or equal to the first preset ratio. In this regard, the first preset ratio may be, for example, 0%, 20%, 50%, etc., but the present invention is not limited thereto. In one embodiment, the first preset ratio can be determined according to different battery types.

In step S220 , the rapid battery screening system 100 can measure the battery 200 through the electrochemical impedance spectrum analyzer 130 to obtain an electrochemical impedance spectrum corresponding to the battery 200 . For this, please refer to FIG. 3A and FIG. 3B together. FIG. 3A is a schematic diagram of an impedance spectrum of an activatable battery according to an embodiment of the present invention. FIG. 3B is a schematic diagram of an impedance spectrum of a non-activatable battery according to an embodiment of the present invention. In this embodiment, the electrochemical impedance spectrum analyzer 130 can measure the battery 200 according to the measurement parameters, wherein the measurement parameters can include a start frequency, a stop frequency and an amplitude. In one embodiment, the starting frequency may be, for example, 10 kilohertz (kHz). The stop frequency may be, for example, 0.1 hertz (Hz). The amplitude may be, for example, 100,000 microamperes (μA). In this embodiment, after the electrochemical impedance spectrum analyzer 130 measures the storage battery 200, one of the curves test1-test15 of the impedance spectrum 310, 320 shown in FIG. 3A and FIG. 3B can be obtained, wherein the curves test1-test8 It can be an example of reference electrochemical impedance spectra of multiple activatable batteries, and the curves test9-test15 can be examples of reference electrochemical impedance spectra of multiple non-activatable batteries. However, FIG. 3A and FIG. 3B are only examples for illustration, and the electrochemical impedance spectrum corresponding to the storage battery 200 of the present invention is not limited to the aspects presented in FIG. 3A and FIG. 3B .

In step S230 , the simulation module 110 of the rapid battery screening system 100 can perform an equivalent circuit simulation on the electrochemical impedance spectrum of the battery 200 to obtain a plurality of impedance parameters of the equivalent circuit model. For this, please refer to FIG. 4 , which is a schematic diagram of an equivalent circuit model according to an embodiment of the present invention. In this embodiment, the equivalent circuit model 400 may include an inductor L1 , a first resistor R1 , a first capacitor C1 , a second resistor R2 , a second capacitor C2 , a third resistor R3 and a Warburg resistor W1 . A first end of the first resistor R1 is coupled to a first end of the inductor L1. A first end of the first capacitor C1 is coupled to a second end of the first resistor E1. A first end of the second resistor R2 is coupled to a first end of the first capacitor C1. The second end of the second resistor R2 is coupled to the second end of the first capacitor C1. A first end of the second capacitor C2 is coupled to a second end of the first capacitor C1. A first end of the third resistor R3 is coupled to a first end of the second capacitor C2. A second end of the second resistor R2 is coupled to a second end of the second capacitor C2. A first end of the Weber resistor W1 is coupled to a second end of the second capacitor C2. It should be noted that the first resistor R1 , the first capacitor C1 and the second resistor R2 may be corresponding to analysis results of solid electrolyte interface (Solid Electrolyte Interphase, SEI) membrane impedance of the battery 200 . The simulation module 110 can obtain the inductance impedance parameter corresponding to the inductor L1, the ohmic impedance parameter corresponding to the first resistor R1, the SEI film impedance parameter corresponding to the first capacitor C1 and the second resistor R2, the second capacitor C2 and the second resistor R2 respectively. The mass transfer impedance parameters corresponding to the three resistors R3 and the impedance parameters corresponding to the Weber resistance W1.

In step S240, the battery rapid screening system 100 can determine whether the battery 200 is activatable according to the classification condition and a plurality of impedance parameters through the linear classifier 120. For this, please refer to FIG. 4 and FIG. 5 together. FIG. 5 is a schematic diagram of linear classification according to an embodiment of the present invention. In this embodiment, the linear classifier 120 can use the classification line 510 as the classification condition, and the linear classifier 120 can judge whether the impedance parameter comparison between the first resistor R1 and the second resistor R2 belongs to the activatable classification, so as to judge whether the battery 200 Whether it is activatable. As shown in FIG. 5 , when the impedance parameter comparison of the first resistor R1 and the second resistor R2 is located in the upper half of the classification line 510 , the linear classifier 120 may determine that the impedance parameter comparison belongs to the inactivatable classification. When the impedance parameter comparison of the first resistor R1 and the second resistor R2 is located in the lower half of the classification line 510 , the linear classifier 120 may determine that the impedance parameter comparison belongs to an activatable classification. However, the present invention is not limited to judging whether the battery 200 is activatable by judging the impedance parameter comparison between the first resistor R1 and the second resistor R2. In one embodiment, the linear classifier 120 can determine whether the impedance parameter comparison of at least two of the first resistor R1 , the first capacitor C1 , and the second resistor R2 belongs to the activatable category. In other words, in one embodiment, the linear classifier 120 can establish classification conditions corresponding to the impedance parameters of at least two of the first resistor R1, the first capacitor C1, and the second resistor R2 to determine whether the battery 200 is activatable. .

Therefore, through the above steps S210-S240, the battery quick screening system 100 and the battery quick screening method of this embodiment can quickly and accurately determine whether the battery 200 is activatable. Moreover, in one embodiment, when the quick battery screening system 100 determines that the battery 200 can be activated, the user or the quick battery screening system 100 can apply a complex wave charging signal to the battery 200 to effectively activate the battery 200 . The aforesaid composite wave charging signal may be, for example, composed of a plurality of square waves, sinusoidal waves and/or triangular waves with different frequencies and/or amplitudes, and the present invention is not limited thereto. The voltage amplitude of the aforementioned composite wave charging signal may be, for example, between 0.7 volts and −0.1 volts. In addition, the battery 200 in this embodiment can be a Lithium Ion Battery (Li-ion) battery, but the invention is not limited thereto. The battery rapid screening system 100 and the battery rapid screening method of the present invention are also applicable to other types of batteries.

FIG. 6 is a schematic diagram of a battery analysis system according to an embodiment of the present invention. FIG. 7 is a flowchart of building a linear classifier according to an embodiment of the present invention. The battery analysis system in FIG. 6 may include a computing device 600 , an electrochemical impedance spectrum analyzer 630 and a charging and discharging device 640 . The computing device 600 includes a simulation module 610 and a linear classifier 120 . The hardware features of the battery analysis system in this embodiment can be deduced from the description of the embodiment in FIG. 1 above, so no more details are given here. In this embodiment, the establishment of the classification conditions of the linear classifier 120 in FIG. 1 can be realized in advance through the battery analysis system in FIG. 6 and steps S710 - S750 in FIG. 7 . Referring to FIG. 6 and FIG. 7 , in step S710 , the charging and discharging device 640 can discharge a plurality of reference batteries 700_1 - 700_N, where N is a positive integer. In this embodiment, the user can pre-select reference batteries 700_1~700_N (multiple aging batteries) of the same type, and judge the battery capacity of the reference batteries 700_1~700_N through the constant voltage/constant current (CV/CC) charging method . Next, the user can use the charging and discharging device 640 to discharge the reference batteries 700_1 - 700_N, so that the states of charge of the reference batteries 700_1 - 700_N are lower than or equal to the first preset ratio.

In step S720 , the electrochemical impedance spectrum analyzer 630 measures the reference batteries 700_1 - 700_N to obtain a plurality of reference electrochemical impedance spectra corresponding to the reference batteries 700_1 - 700_N. In this regard, please refer to FIG. 3A and FIG. 3B. In this embodiment, the electrochemical impedance spectrum analyzer 630 can measure the reference batteries 700_1~700_N according to the measurement parameters, and the parameter content of the measurement parameters can be implemented as described above. example, so no further details are given here. In this embodiment, after measuring the reference batteries 700_1 - 700_N respectively, the electrochemical impedance spectrum analyzer 630 can obtain the curves test1 - test15 of the impedance spectra 310 , 320 as shown in FIGS. 3A and 3B . However, FIG. 3A and FIG. 3B are only examples for illustration, and the multiple reference electrochemical impedance spectra of the reference batteries 700_1 - 700_N of the present invention are not limited to the aspects presented in FIG. 3A and FIG. 3B .

In step S730, the simulation module 610 of the computing device 600 performs equivalent circuit simulations on the multiple reference electrochemical impedance spectra of the curves test1~test15 shown in FIG. 3A and FIG. Multiple reference impedance parameters for the equivalent circuit model of the impedance spectrum. For this, please refer to FIG. 4 , the user can input the multiple reference EIS data in FIG. 3A and FIG. 3B into the simulation module 610 . The simulation module 610 can obtain multiple impedance parameters corresponding to multiple reference electrochemical impedance spectra of the reference batteries 700_1~700_N according to the equivalent circuit model 400 as shown in FIG. The ohmic impedance parameter corresponding to the first resistor R1 and the SEI film impedance parameter corresponding to the second resistor R2, but the present invention is not limited thereto. In one embodiment, the simulation module 610 can obtain impedance parameters of at least two of the first resistor R1 , the first capacitor C1 and the second resistor R2 respectively corresponding to a plurality of reference electrochemical impedance spectra.

In step S740 , the charging and discharging device 640 applies a composite wave charging signal to the reference batteries 700_1 - 700_N, so as to perform charging verification on the reference batteries 700_1 - 700_N through the multiple wave charging signal, so as to obtain multiple charging verification results. In other words, the user can actually charge the reference batteries 700_1~700_N to determine which parts of the reference batteries 700_1~700_N belong to the activatable parts and which parts cannot be activated, and input multiple charging verification results of the reference batteries 700_1~700_N into the calculation Among the linear classifiers 120 of the device 600. In this embodiment, the battery analysis system can define the battery state of health ratio (State of Health, SOH) of the reference batteries 700_1~700_N as being higher than the second preset ratio as the activatable classification, and the reference battery 700_1 Parts of ~700_N whose battery state of health ratio is lower than or equal to the second preset ratio are defined as unable to be activated. The battery health ratio is the percentage of the current maximum available battery capacity divided by the standard battery capacity.

In step S750 , the linear classifier 120 of the computing device 600 performs analysis according to a plurality of charging verification results and a plurality of reference impedance parameters corresponding to a plurality of reference electrochemical impedance spectra, so as to establish classification conditions of the linear classifier 120 . Please refer to FIG. 5, the linear classifier 120 can generate a scatter diagram (scatter) as shown in FIG. , and mark the attribute of each point in the scatter diagram as activation success or activation failure according to multiple charging verification results. Next, the linear classifier 120 can define the position of the classification line 510 according to the distribution result of the scatter diagram shown in FIG. 5 , but the position of the classification line of the present invention is not limited to FIG. 5 . Therefore, the battery analysis system of this embodiment can effectively establish the classification conditions of the linear classifier 120, so that the battery rapid screening method and battery rapid screening system of the present invention can use the linear classifier 120 with established classification conditions to achieve accurate Battery screening effect.

To sum up, the battery rapid screening method and the battery rapid screening system of the present invention can use the preset equivalent circuit model to analyze the electrochemical impedance spectrum of the battery to obtain a plurality of corresponding impedance parameters, and match the preset established A linear classifier of classification conditions is used to judge whether the battery can be activated according to these impedance parameters. Therefore, the battery rapid screening method and battery rapid screening system of the present invention can quickly and accurately determine whether the battery can be activated without going through a time-consuming actual charging test.

Although the present invention has been disclosed above with the embodiments, it is not intended to limit the present invention. Anyone with ordinary knowledge in the technical field may make some changes and modifications without departing from the spirit and scope of the present invention. The scope of protection of the present invention should be defined by the scope of the appended patent application.

100: Battery quick screening system 110, 610: Analog module 120:Linear Classifiers 130, 630: Electrochemical Impedance Spectrum Analyzer 200: battery 310, 320: impedance spectrum 400: Equivalent Circuit Model 510: classification line 700_1~700_N: Reference battery test1~test15: curve S210~S240, S710~S750: steps

FIG. 1 is a schematic diagram of a battery rapid screening system according to an embodiment of the present invention. FIG. 2 is a flowchart of a battery rapid screening method according to an embodiment of the present invention. FIG. 3A is a schematic diagram of an impedance spectrum of an activatable battery according to an embodiment of the present invention. FIG. 3B is a schematic diagram of an impedance spectrum of a non-activatable battery according to an embodiment of the present invention. FIG. 4 is a schematic diagram of an equivalent circuit model according to an embodiment of the invention. Fig. 5 is a schematic diagram of linear classification according to an embodiment of the present invention. FIG. 6 is a schematic diagram of a battery analysis system according to an embodiment of the present invention. FIG. 7 is a flowchart of building a linear classifier according to an embodiment of the present invention.

S210~S240: steps

Claims (16)

A battery quick screening method, comprising: discharging a battery such that a state of charge of the battery after discharge is lower than or equal to a first predetermined ratio; measuring the storage battery by an electrochemical impedance spectrum analyzer to obtain an electrochemical impedance spectrum corresponding to the storage battery; performing an equivalent circuit simulation on the electrochemical impedance spectrum to obtain a plurality of impedance parameters of an equivalent circuit model; and A linear classifier is used to determine whether the storage battery is activatable according to a classification condition and the impedance parameters. The battery rapid screening method according to claim 1, wherein the linear classifier judges whether an impedance parameter comparison of two of the impedance parameters belongs to an activatable classification, so as to determine that the battery is activatable. The battery quick screening method as described in claim 2, wherein the equivalent circuit model includes: an inductance; a first resistor, wherein a first end of the first resistor is coupled to a first end of the inductor; a first capacitor, wherein a first end of the first capacitor is coupled to a second end of the first resistor; a second resistor, wherein a first terminal of the second resistor is coupled to the first terminal of the first capacitor, and a second terminal of the second resistor is coupled to a second terminal of the first capacitor; a second capacitor, wherein a first end of the second capacitor is coupled to the second end of the first capacitor; a third resistor, wherein a first end of the third resistor is coupled to the first end of the second capacitor, and a second end of the second capacitor; and A Weber (Warburg) resistor, wherein a first terminal of the Weber resistor is coupled to the second terminal of the second capacitor. The battery quick screening method according to claim 3, wherein the linear classifier determines whether the impedance parameter comparison of at least two of the first resistor, the first capacitor, and the second resistor belongs to the activatable category , to judge that the battery can be activated. The battery quick screening method as claimed in claim 4, wherein the first resistance, the first capacitance and the second resistance are analysis results corresponding to the impedance of a solid electrolyte interphase (SEI) of the battery. The battery quick screening method as described in claim 1, further comprising: discharge multiple reference batteries; measuring the reference batteries by the electrochemical impedance spectrum analyzer, so as to obtain a plurality of reference electrochemical impedance spectra corresponding to the reference batteries; performing equivalent circuit simulations on the reference electrochemical impedance spectra respectively, so as to obtain a plurality of reference impedance parameters of the equivalent circuit model respectively corresponding to the reference electrochemical impedance spectra; performing charging verification on the reference batteries respectively through a composite wave charging signal, so as to obtain multiple charging verification results; and Analyzing by a linear classifier according to the charging verification results and the reference impedance parameters corresponding to the reference electrochemical impedance spectra, so as to establish the classification condition of the linear classifier. The battery quick screening method as described in claim 6, wherein the step of establishing the classification condition of the linear classifier comprises: defining a portion of the reference batteries whose state of health ratio is higher than a second predetermined ratio as an activatable classification; defining a portion of the reference batteries whose state of health ratio is lower than or equal to the second predetermined ratio as a non-activatable classification; and A classification line is determined according to a ratio value distribution of the reference batteries belonging to the activatable classification and the non-activatable classification, so as to establish the classification condition. The battery rapid screening method according to claim 1, wherein the storage battery is a lithium battery. A battery rapid screening system, comprising: An electrochemical impedance spectrum analyzer for measuring a storage battery and performing an equivalent circuit fitting to obtain an electrochemical impedance spectrum corresponding to the storage battery, wherein the storage battery is discharged before the measurement so that the storage battery A state of charge after discharge is lower than or equal to a first preset ratio; An analog module, coupled to the electrochemical impedance spectrum analyzer, and used for performing equivalent circuit simulation on the electrochemical impedance spectrum, so as to obtain a plurality of impedance parameters of an equivalent circuit model; and A linear classifier is coupled to the simulation module, and is used for judging whether the storage battery is activatable according to a classification condition and the impedance parameters. The battery rapid screening system as claimed in claim 9, wherein the linear classifier judges whether an impedance parameter comparison of two of the impedance parameters belongs to an activatable classification, so as to determine that the battery is activatable. The battery rapid screening system as described in claim 10, wherein the equivalent circuit model includes: an inductance; a first resistor, wherein a first end of the first resistor is coupled to a first end of the inductor; a first capacitor, wherein a first end of the first capacitor is coupled to a second end of the first resistor; a second resistor, wherein a first terminal of the second resistor is coupled to the first terminal of the first capacitor, and a second terminal of the second resistor is coupled to a second terminal of the first capacitor; a second capacitor, wherein a first end of the second capacitor is coupled to the second end of the first capacitor; a third resistor, wherein a first end of the third resistor is coupled to the first end of the second capacitor, and a second end of the second capacitor; and A Weber resistor, wherein a first terminal of the Weber resistor is coupled to the second terminal of the second capacitor. The battery rapid screening system according to claim 11, wherein the linear classifier determines whether the impedance parameter comparison of at least two of the first resistor, the first capacitor, and the second resistor belongs to the activatable category , to judge that the battery can be activated. The battery rapid screening system as claimed in claim 12, wherein the first resistance, the first capacitance and the second resistance are analysis results corresponding to the impedance of a solid electrolyte interphase (SEI) of the battery. The battery rapid screening system as described in claim 9, wherein the electrochemical impedance spectrum analyzer measures a plurality of reference batteries to obtain a plurality of reference electrochemical impedance spectra corresponding to the reference batteries, wherein the reference batteries are in Discharged before measurement, Wherein the simulation module respectively performs equivalent circuit simulation on the reference electrochemical impedance spectra, so as to obtain a plurality of reference impedance parameters of the equivalent circuit model corresponding to the reference electrochemical impedance spectra, Wherein the linear classifier analyzes a plurality of charging verification results obtained after the reference batteries are charged through a complex wave charging signal and the reference impedance parameters corresponding to the reference electrochemical impedance spectra, so as to establish the linearity The classification condition of the classifier. The battery rapid screening system as claimed in claim 14, wherein the linear classifier defines the portion of the reference batteries whose battery state of health ratio is higher than a second preset ratio as an activatable classification, and classifies these The part of the reference storage battery whose battery state of health ratio is lower than or equal to the second preset ratio is defined as a classification that cannot be activated, Wherein the linear classifier determines a classification line according to a ratio value distribution of the reference impedance parameters of the reference storage batteries belonging to the activatable classification and the non-activatable classification, so as to establish the classification condition. The battery rapid screening system as claimed in item 9, wherein the storage battery is a lithium battery.

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