CN109459700B - Deformation lithium battery detection method and device and electronic equipment - Google Patents
Deformation lithium battery detection method and device and electronic equipment Download PDFInfo
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Abstract
The invention discloses a deformation lithium battery detection method, which comprises the following steps: obtaining battery samples under various deformation quantities to be analyzed; carrying out a pulse charge-discharge test on the obtained battery sample; establishing an equivalent circuit model of the deformed lithium battery to obtain the relationship between an external electric response result and model parameters; according to the model, establishing a functional relation among model parameters, battery temperature, state of charge and battery deformation; establishing a cost function required by back-solving the model parameters, and compiling a parameter back-solving algorithm; reversely solving coefficients in the functional relation by using a reverse solving algorithm; optimizing an equivalent circuit model; and predicting the response condition of the deformed lithium battery to the external electricity by using the optimized equivalent circuit model so as to judge whether the battery sample under the corresponding deformation quantity can be continuously used. The detection method, the detection device and the electronic equipment of the deformed lithium battery provided by the invention realize the purpose that the deformed lithium battery can be continuously used in practical application, prolong the service life of the deformed lithium battery and reduce environmental pollution.
Description
Technical Field
The invention relates to the field of lithium battery modeling, in particular to a deformation lithium battery detection method and device and electronic equipment.
Background
Lithium batteries are widely used in industry and in various areas of life due to their high energy density, high power density, and long cycle life. With the increasing harm of the use of fossil energy to the environment, countries around the world have also issued relevant policies to encourage the development of the green energy industry. Lithium batteries are one of the industries encouraged by the 2005 national development and reform committee due to their green and environmentally friendly nature and their high potential in energy density.
At present, still there are some concerns to the use of lithium cell, receive external force when excessively warping when the lithium cell, can lead to the battery to take place inside short circuit, make the battery inflation even fire and explode, this just leads to the lithium cell in case the deformation will be abandoned in order to avoid danger. However, it is still unknown how the external electrical response differs from a perfect cell when the cell can continue to be used only until it has been deformed to an internal short-circuit trigger deformation value. If the battery deforms but does not reach the internal short circuit trigger deformation value, the battery can still be used, and a relevant model is established for the deformed battery to predict the external electricity response of the deformed battery, so that the batteries can be continuously used, and social resources are greatly saved. In addition, because the waste lithium battery can cause certain environmental pollution, the use of the deformed battery can reduce the number of the waste batteries and reduce the environmental pollution.
Disclosure of Invention
In view of this, the present invention provides a method and an apparatus for detecting a deformed lithium battery, and an electronic device, so that the deformed lithium battery can be continuously used in practical applications, thereby reducing the number of waste batteries and reducing environmental pollution.
In view of the above object, a first aspect of the present invention provides a deformed lithium battery detection method, including:
obtaining battery samples under various deformation quantities to be analyzed;
carrying out a pulse charge-discharge test on the obtained battery sample to obtain an external electric response result, a battery deformation amount and a battery surface temperature;
establishing an equivalent circuit model of the deformed lithium battery, and obtaining the relationship between the external electric response result, the deformation of the battery and the surface temperature of the battery and the model parameters;
according to the equivalent circuit model, establishing a functional relation among the model parameters, the surface temperature of the battery, the state of charge and the deformation of the battery;
establishing a cost function required by back-solving model parameters according to the equivalent circuit model and the functional relation, and writing a parameter back-solving algorithm;
reversely solving the coefficient in the functional relation by utilizing the reverse solving algorithm;
substituting the coefficient, the battery surface temperature, the charge state and the battery deformation into the functional relation to obtain the optimized model parameter so as to obtain the optimized equivalent circuit model;
and predicting the response condition of the deformed lithium battery to the external electricity by utilizing the optimized equivalent circuit model and combining the external electricity response result, the deformation quantity of the battery and the relationship between the battery surface temperature and the model parameters so as to judge whether the battery sample under the corresponding deformation quantity can be continuously used.
Optionally, the external electrical response results include current, terminal voltage, and battery capacity.
Optionally, the obtaining a battery sample under each deformation quantity to be analyzed includes:
and performing specified deformation compression on the lithium battery by using a universal material testing machine, wherein the deformation is 1, 2, 3, 4 and 5 mm.
Optionally, in the pulse charge-discharge test, the test conditions are as follows:
the pulse current amplitude is 1C, the pulse period is 420 seconds, the discharge time is 300 seconds, and the ambient temperature is controlled at 29 ℃.
Optionally, the equivalent circuit model includes an electrochemical polarization capacitance, a concentration polarization capacitance, an ohmic internal resistance, an electrochemical polarization resistance, and a concentration polarization resistance; the electrochemical polarization resistor, the concentration polarization resistor and the ohmic internal resistor are connected in series, the electrochemical polarization capacitor is connected with the electrochemical polarization resistor in parallel, and the concentration polarization capacitor is connected with the concentration polarization resistor in parallel.
Optionally, the model parameter includes resistance values of the ohmic internal resistance, the electrochemical polarization resistance, and the concentration polarization resistance, and capacitance values of the electrochemical polarization capacitance and the concentration polarization capacitance.
Optionally, in the functional relationship, the battery temperature and the battery deformation are cubic functions, the state of charge is an exponential function, and the specific functions are as follows:
wherein R is0、R1、R2Respectively showing ohmic internal resistance, electrochemical polarization resistance and concentration polarization resistance, C1、C2Respectively representing electrochemical polarization capacitance and concentration polarization capacitance, SOC representing the state of charge, d representing the deformation of the battery, T representing the temperature of the battery recorded in the corresponding test, ai(i is 1 to 55) represents a coefficient in the functional relationship.
Optionally, the cost function is:
wherein d represents the deformation amount of the battery,
is the l-th output voltage sample, V, of a cell with d deflection in the Simulink modeld,lRepresenting the l-th voltage sample of the cell with d deformation in the test, n representing the number of output voltage samples, X representing the set of coefficients, f (X) representing the cost function,
was obtained by Simulink model, S represents Simulink model, and T represents battery temperature in the corresponding test.
Optionally, the back-solving algorithm is written based on a differential evolution algorithm with the established cost function as an optimization target.
In a second aspect of the present invention, there is provided a deformed lithium battery detection apparatus, including:
the acquisition module is used for acquiring a battery sample under each deformation quantity to be analyzed;
the test module is used for carrying out pulse charge-discharge test on the obtained battery sample to obtain an external electric response result, the deformation of the battery and the surface temperature of the battery;
a modeling module to:
establishing an equivalent circuit model of the deformed lithium battery, and obtaining the relationship between the external electric response result, the deformation of the battery and the surface temperature of the battery and the model parameters;
according to the equivalent circuit model, establishing a functional relation among the model parameters, the surface temperature of the battery, the state of charge and the deformation of the battery;
establishing a cost function required by back-solving model parameters according to the equivalent circuit model and the functional relation, and writing a parameter back-solving algorithm;
reversely solving the coefficient in the functional relation by utilizing the reverse solving algorithm; substituting the coefficient, the battery temperature, the charge state and the battery deformation into the functional relation to obtain the optimized model parameter so as to obtain the optimized equivalent circuit model;
and the detection module is used for predicting the response condition of the deformed lithium battery to the external electricity by utilizing the optimized equivalent circuit model and combining the external electricity response result, the deformation quantity of the battery and the relationship between the battery surface temperature and the model parameters so as to judge whether the battery sample under the corresponding deformation quantity can be continuously used.
In a third aspect of the present invention, an electronic device for deformation lithium battery detection is provided, which includes a processor, and a memory communicatively connected to the processor,
wherein the memory stores instructions executable by the processor to enable the processor to perform any one of the methods described above.
From the above, the deformed lithium battery detection method, the deformed lithium battery detection device and the electronic equipment provided by the invention have the advantages that the equivalent circuit model of the deformed lithium battery is established based on the test data of the deformed lithium battery, the response of the lithium battery with the safe deformation quantity to external electricity can be accurately predicted, the purpose that the deformed lithium battery can be continuously used in practical application is realized, the service life of the deformed lithium battery is prolonged, and the environmental pollution is reduced.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic flow chart of a deformed lithium battery detection method according to an embodiment of the present invention;
fig. 2 is an equivalent circuit schematic diagram of a deformed lithium battery detection method according to an embodiment of the present invention;
fig. 3 is a schematic diagram of a deformed lithium battery detection device according to an embodiment of the present invention;
fig. 4 is a schematic diagram of an electronic device for detecting a deformed lithium battery according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to specific embodiments and the accompanying drawings.
Referring to fig. 1, the method for detecting a deformed lithium battery includes:
step 101: obtaining battery samples under various deformation quantities to be analyzed;
optionally, the method for obtaining the battery sample under each deformation amount in step 101 is: the specified deformation compression of the battery is realized by using a universal material testing machine. The deformation amounts of the above battery samples were 1mm, 2mm, 3mm, 4mm, and 5 mm.
Step 102: carrying out a pulse charge-discharge test on the obtained battery sample to obtain an external electric response result, a battery deformation amount and a battery surface temperature;
in some alternative embodiments, the external electrical response results described in step 102 include data on current, terminal voltage, and battery capacity. Carrying out a pulse charge-discharge experiment by using a battery tester; controlling the ambient temperature by using a temperature control box; current, terminal voltage, and battery surface temperature were recorded using current, voltage, and temperature sensors. The pulse current amplitude is 1C (which is 1 current multiplying factor, that is, the capacity is 0 after the full-charge battery is discharged for one hour theoretically by using 1C current discharge), the pulse period is 420 seconds, and the discharge time is 300 seconds. The ambient temperature was controlled to 29 degrees celsius.
Step 103: establishing an equivalent circuit model of the deformation lithium battery, and obtaining the relationship between the external electric response result, the deformation quantity of the battery and the surface temperature of the battery and the model parameters;
in some alternative embodiments, and referring to FIG. 2, the equivalent circuit model described in step 103 is created by using the Simulink module in MATLAB, where C is1、C2Respectively represents the electrochemical polarization capacitance and concentration polarization capacitance of the battery, R0Expresses the ohmic internal resistance R of the battery1Represents the electrochemical polarization resistance, R, of the cell2Shows concentration polarization resistance, OCV shows open circuit voltage, V1、V2Electrochemical polarization voltage and concentration polarization voltage are respectively shown, and I represents current. In some optional embodiments, the model parameters are resistance values of the resistors and capacities of the capacitors. In this embodiment, the equivalent circuit model includes an electrochemical polarization capacitance, a concentration polarization capacitance, an ohmic internal resistance, an electrochemical polarization resistance, and a concentration polarization resistance; the electrochemical polarization resistor, the concentration polarization resistor and the ohmic internal resistor are connected in series, the electrochemical polarization capacitor is connected with the electrochemical polarization resistor in parallel, and the concentration polarization capacitor is connected with the concentration polarization resistor in parallel; the open circuit voltage is set between the ohmic internal resistance and the electrochemical polarization resistance.
In some alternative embodiments, the method for obtaining the open-circuit voltage OCV value is as follows:
the batteries under different deformation quantities are firstly discharged at 1C, namely 1 time current multiplying power until the battery voltage reaches the battery discharge cut-off voltage, at the moment, the batteries are considered to be completely discharged, and the SOC value of the batteries is 0%. And after the battery is kept still for 3 hours, measuring the terminal voltage of the battery, wherein the terminal voltage of the battery is the open circuit voltage OCV of the battery. Then, the cell was charged with 1C current for 6 minutes and then left to stand for 3 hours. At this time, the battery SOC value was 10%, and the battery OCV value at this time was measured. Then, the battery was repeatedly charged until the battery capacity reached 2600mAh, i.e., the total charging time was 60 minutes in the experiment. The OCV and SOC values obtained from the experiment will be used to build a look-up table. The table may find the corresponding OCV value from the provided SOC value.
In this embodiment, the model parameters include an electrochemical polarization resistance value, a concentration polarization resistance value, an electrochemical polarization capacitance value, and a concentration polarization capacitance value. The MATLAB in the embodiment is a piece of powerful scientific computing software, and is used for high-level technical computing language and interactive environment for algorithm development, data visualization, data analysis and numerical computation; the Simulink module is a block diagram design environment based on MATLAB, is a software package for realizing dynamic system modeling, simulation and analysis, and is widely applied to modeling and simulation of linear systems, nonlinear systems, digital control and digital signal processing;
step 104: according to the equivalent circuit model, establishing a functional relation among the model parameters, the surface temperature of the battery, the state of charge and the deformation of the battery;
in some optional embodiments, in the functional relationship between the model parameter and the battery surface temperature, the state of charge SOC (state of charge), and the battery deformation amount described in step 104, the battery temperature and the battery deformation amount are cubic functions, and the SOC is an exponential function, and the specific function is shown in formula (1):
wherein R is0、R1、R2Respectively showing ohmic internal resistance, electrochemical polarization resistance and concentration polarization resistance, C1、C2Respectively representing electrochemical polarization capacitance and concentration polarization capacitance, SOC representing the state of charge, d representing the deformation of the battery, T representing the temperature of the battery recorded in the corresponding test, aiRepresenting the coefficients in the function.
It should be noted that the establishment of the above functional relationship is used to represent the relationship between the model parameters on the equivalent circuit model and the quantities affecting these parameters;
in some optional embodiments, the method for calculating the state of charge SOC employs an ampere-hour method, which is specifically described in formula (2):
where k denotes the kth time step, I denotes the current (discharge when the current is negative), CpThe battery capacity is shown, d is the deformation quantity of the battery, and t is the charging and discharging time from the k-1 time step to the k time step.
Step 105: establishing a cost function required by back-solving model parameters according to the equivalent circuit model and the functional relation, and writing a parameter back-solving algorithm;
in some alternative embodiments, the cost function described in step 105 is given by equation (3):
wherein d represents the amount of deformation of the battery,
is the l-th output voltage sample, V, of a cell with a deformation of d in the Simulink modeld,lRepresenting the l-th voltage sample of the cell with a deformation d in the test, n representing the number of output voltage samples, X representing the set of coefficients, f (X) representing the cost function,
was obtained by Simulink model, S represents Simulink model, and T represents battery temperature in the corresponding test.
In some optional embodiments, the method for obtaining the cost function in step 105 is as follows:
and substituting the external electric response result of the deformed lithium battery obtained by the test, such as the current, the terminal voltage, the surface temperature of the battery and the corresponding deformation quantity, and the SOC obtained by calculating the formula (2) into the function formula (1) to obtain the model parameters of the equivalent circuit model of the battery. Obtaining a terminal voltage value of the equivalent circuit model according to the corresponding input current; and subtracting the terminal voltage value obtained in the test of the battery corresponding to the deformation amount from the terminal voltage value of the model, squaring the difference between the battery model voltage and the test voltage under all the deformation amounts, and summing to obtain a cost function.
Step 106: reversely solving the coefficient in the functional relation by utilizing the reverse solving algorithm;
here, the coefficient refers to a in the functional formula (1)i(i is 1-55), and reversely calculating the coefficient a in the functional relation by utilizing a reverse calculation algorithmiThe values of (i ═ 1 to 55) correspond to the model parameters obtained under known conditions, and the complete functional relationship is obtained. In some optional embodiments, the back-solving algorithm in step 106 is written based on a differential evolution algorithm with the established cost function as an optimization target.
Step 107: substituting the coefficient, the battery surface temperature, the charge state and the battery deformation into the functional relation to obtain the optimized model parameter so as to obtain the optimized equivalent circuit model;
step 108: and predicting the response condition of the deformed lithium battery to the external electricity by utilizing the optimized equivalent circuit model and combining the external electricity response result, the deformation quantity of the battery and the relationship between the battery surface temperature and the model parameters so as to judge whether the battery sample under the corresponding deformation quantity can be continuously used.
It can be seen from the foregoing embodiments that, in the detection method for a deformed lithium battery provided in the embodiments of the present invention, an equivalent circuit model is established by performing a pulse charge and discharge experiment on lithium batteries with different deformation amounts, so that the deformed lithium battery is continuously utilized.
In view of the above object, according to a second aspect of the present invention, there is provided an embodiment of a modified lithium battery modeling apparatus, shown with reference to fig. 3, the apparatus including:
an obtaining module 201, configured to obtain a battery sample under each deformation quantity to be analyzed;
optionally, the battery sample under each deformation amount is realized by compressing the battery with a specified deformation amount by using a universal material testing machine, wherein the deformation amount of the battery sample is 1mm, 2mm, 3mm, 4mm and 5 mm.
The test module 202 is used for performing a pulse charge-discharge test on the obtained battery sample to obtain an external electric response result, a battery deformation amount and a battery surface temperature;
alternatively, the external electrical response results may be current, terminal voltage and battery capacity. Carrying out a pulse charge-discharge experiment by using a battery tester; controlling the ambient temperature by using a temperature control box; current, terminal voltage, and battery surface temperature were recorded using current, voltage, and temperature sensors. The pulse current amplitude is 1C (i.e. the capacity is 0 after discharging a fully charged battery for one hour theoretically by using 1C current discharge), the pulse period is 420 seconds, and the discharge time is 300 seconds. The ambient temperature was controlled to 29 degrees celsius.
A modeling module 203 for:
establishing an equivalent circuit model of the deformed lithium battery, and obtaining the relationship between the external electric response result, the deformation of the battery and the surface temperature of the battery and the model parameters;
according to the equivalent circuit model, establishing a functional relation among the model parameters, the surface temperature of the battery, the state of charge and the deformation of the battery;
establishing a cost function required by back-solving model parameters according to the equivalent circuit model and the functional relation, and writing a parameter back-solving algorithm;
reversely solving the coefficient in the functional relation by utilizing the reverse solving algorithm;
substituting the coefficient, the battery surface temperature, the charge state and the battery deformation into the functional relation to obtain the optimized model parameter so as to obtain the optimized equivalent circuit model;
optionally, the equivalent circuit model of the lithium battery is established by using a Simulink module in MATLAB. The model parameters comprise ohmic internal resistance, electrochemical polarization resistance, concentration polarization resistance, and capacitance values of the electrochemical polarization capacitance and the concentration polarization capacitance.
And the detection module 204 is configured to predict the response condition of the deformed lithium battery to the external power by using the optimized equivalent circuit model and combining the external power response result, the deformation amount of the battery, the relationship between the battery surface temperature and the model parameters, so as to determine whether the battery sample under the corresponding deformation amount can be continuously used.
It can be seen from the foregoing embodiments that, in the detection device for a deformed lithium battery provided in the embodiments of the present invention, an equivalent circuit model is established by performing a pulse charge and discharge experiment on lithium batteries with different deformation amounts, and response conditions of the lithium batteries with different deformation amounts to external electricity are predicted, so that the deformed lithium batteries are continuously utilized.
In view of the above object, a third aspect of the embodiments of the present invention provides an embodiment of an electronic device for performing the deformed lithium battery detection method. Fig. 4 is a schematic diagram of a hardware structure of an embodiment of the electronic device for performing the deformed lithium battery detection method according to the present invention.
Referring to fig. 4, the electronic device includes:
one or more processors 301 and a memory 302, with one processor 301 being illustrated in fig. 4.
The apparatus for performing the deformed lithium battery detection method may further include: an input device 303 and an output device 304.
The processor 301, the memory 302, the input device 303 and the output device 304 may be connected by a bus or other means, and fig. 4 illustrates the connection by a bus as an example.
The memory 302 is a non-volatile computer-readable storage medium, and can be used to store non-volatile software programs, non-volatile computer-executable programs, and modules, such as program instructions/modules corresponding to the deformed lithium battery detection method in the embodiment of the present application. The processor 301 executes various functional applications and data processing of the server by running the nonvolatile software program, instructions and modules stored in the memory 302, that is, implements the deformed lithium battery detection method of the above method embodiment.
The memory 302 may include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created according to use of the deformed lithium battery detection apparatus, and the like. Further, the memory 302 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid state storage device. In some embodiments, memory 302 may optionally include memory located remotely from processor 301, which may be connected to the member user behavior monitoring device via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The input device 303 may receive input numeric or character information and generate key signal inputs related to user settings and function control of the deformed lithium battery detection device. The output means 304 may comprise a display device such as a display screen.
The one or more modules are stored in the memory 302 and, when executed by the one or more processors 301, perform the deformed lithium battery detection method of any of the method embodiments described above. The technical effect of the embodiment of the electronic device for executing the deformed lithium battery detection method is the same as or similar to that of any method embodiment.
Those of ordinary skill in the art will understand that: the discussion of any embodiment above is meant to be exemplary only, and is not intended to intimate that the scope of the disclosure, including the claims, is limited to these examples; within the idea of the invention, also features in the above embodiments or in different embodiments may be combined, steps may be implemented in any order, and there are many other variations of the different aspects of the invention as described above, which are not provided in detail for the sake of brevity.
The embodiments of the invention are intended to embrace all such alternatives, modifications and variances that fall within the broad scope of the appended claims. Therefore, any omissions, modifications, substitutions, improvements and the like that may be made without departing from the spirit and principles of the invention are intended to be included within the scope of the invention.
Claims (10)
1. A deformation lithium battery detection method is characterized by comprising the following steps:
obtaining battery samples under various deformation quantities to be analyzed;
carrying out a pulse charge-discharge test on the obtained battery sample to obtain an external electric response result, a battery deformation amount and a battery surface temperature;
establishing an equivalent circuit model of the deformed lithium battery, and obtaining the relationship between the external electric response result, the deformation of the battery and the surface temperature of the battery and the model parameters;
according to the equivalent circuit model, establishing a functional relation among the model parameters, the surface temperature of the battery, the state of charge and the deformation of the battery;
establishing a cost function required by back-solving model parameters according to the equivalent circuit model and the functional relation, and writing a parameter back-solving algorithm;
reversely solving the coefficient in the functional relation by utilizing the reverse solving algorithm;
substituting the coefficient, the battery surface temperature, the charge state and the battery deformation into the functional relation to obtain the optimized model parameter so as to obtain the optimized equivalent circuit model;
predicting the response condition of the deformed lithium battery to the external electricity by utilizing the optimized equivalent circuit model and combining the relationship between the external electricity response result and the model parameter so as to judge whether the battery sample under the corresponding deformation quantity can be continuously used;
in the functional relationship, the battery temperature and the battery deformation are cubic functions, the state of charge is an exponential function, and the specific functions are as follows:
wherein R is0、R1、R2Respectively showing ohmic internal resistance, electrochemical polarization resistance and concentration polarization resistance, C1、C2Respectively representing electrochemical polarization capacitance and concentration polarization capacitance, SOC representing the state of charge, d representing the deformation of the battery, T representing the temperature of the battery recorded in the corresponding test, ai(i is 1 to 55) represents a coefficient in the functional relationship.
2. The method of claim 1, wherein the external electrical response comprises current, terminal voltage, and battery capacity.
3. The method for detecting a deformed lithium battery as claimed in claim 1, wherein the step of obtaining the battery sample under each deformation quantity to be analyzed comprises the following steps:
and performing specified deformation compression on the lithium battery by using a universal material testing machine, wherein the deformation is 1, 2, 3, 4 or 5 mm.
4. The method for detecting a deformed lithium battery as claimed in claim 1, wherein the pulse charge-discharge test has the following test conditions:
the pulse current amplitude is 1C, the pulse period is 420 seconds, the discharge time is 300 seconds, and the ambient temperature is controlled at 29 ℃.
5. The method of claim 1, wherein the equivalent circuit model comprises an electrochemical polarization capacitance, a concentration polarization capacitance, an ohmic internal resistance, an electrochemical polarization resistance, and a concentration polarization resistance; the electrochemical polarization resistor, the concentration polarization resistor and the ohmic internal resistor are connected in series, the electrochemical polarization capacitor is connected with the electrochemical polarization resistor in parallel, and the concentration polarization capacitor is connected with the concentration polarization resistor in parallel.
6. The method of claim 5, wherein the model parameters include resistance values of the ohmic internal resistance, the electrochemical polarization resistance, the concentration polarization resistance, and capacitance values of the electrochemical polarization capacitance and the concentration polarization capacitance.
7. The method of claim 1, wherein the cost function is:
wherein d represents the deformation amount of the battery,
is the l-th output voltage sample, V, of a cell with d deflection in the Simulink modeld，lRepresenting the l-th voltage sample of the cell with d deformation in the test, n representing the number of output voltage samples, X representing the set of coefficients, f (X) representing the cost function,
was obtained by Simulink model, S represents Simulink model, and T represents battery temperature in the corresponding test.
8. The method for detecting a deformed lithium battery as claimed in claim 1, wherein the back-solving algorithm is written based on a differential evolution algorithm with the established cost function as an optimization target.
9. A deformation lithium battery detection device is characterized by comprising:
the acquisition module is used for acquiring a battery sample under each deformation quantity to be analyzed;
the test module is used for carrying out pulse charge-discharge test on the obtained battery sample to obtain an external electric response result, the deformation of the battery and the surface temperature of the battery;
a modeling module to:
establishing an equivalent circuit model of the deformed lithium battery, and obtaining the relationship between the external electric response result, the deformation of the battery and the surface temperature of the battery and the model parameters;
according to the equivalent circuit model, establishing a functional relation among the model parameters, the surface temperature of the battery, the state of charge and the deformation of the battery;
establishing a cost function required by back-solving model parameters according to the equivalent circuit model and the functional relation, and writing a parameter back-solving algorithm;
reversely solving the coefficient in the functional relation by utilizing the reverse solving algorithm;
substituting the coefficient, the battery surface temperature, the charge state and the battery deformation into the functional relation to obtain the optimized model parameter so as to obtain the optimized equivalent circuit model;
and the detection module is used for predicting the response condition of the deformed lithium battery to the external electricity by utilizing the optimized equivalent circuit model and combining the external electricity response result, the deformation quantity of the battery and the relationship between the battery surface temperature and the model parameters so as to judge whether the battery sample under the corresponding deformation quantity can be continuously used.
10. An electronic device for detecting a deformed lithium battery comprises a processor and a memory which is in communication connection with the processor,
wherein the memory stores instructions executable by the processor to enable the processor to perform the method of any one of claims 1-8.
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