CN114388941B - Method and device for selecting parameters of low-temperature lossless alternating-current self-heating of battery - Google Patents
Method and device for selecting parameters of low-temperature lossless alternating-current self-heating of battery Download PDFInfo
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- 238000010438 heat treatment Methods 0.000 title claims abstract description 80
- 238000000034 method Methods 0.000 title claims abstract description 42
- 238000010187 selection method Methods 0.000 claims abstract description 14
- 230000005284 excitation Effects 0.000 claims description 39
- 238000005070 sampling Methods 0.000 claims description 29
- 238000012360 testing method Methods 0.000 claims description 16
- 230000008569 process Effects 0.000 claims description 10
- 238000004590 computer program Methods 0.000 claims description 4
- 230000036541 health Effects 0.000 abstract description 4
- WHXSMMKQMYFTQS-UHFFFAOYSA-N Lithium Chemical compound [Li] WHXSMMKQMYFTQS-UHFFFAOYSA-N 0.000 description 13
- 229910052744 lithium Inorganic materials 0.000 description 13
- 230000032683 aging Effects 0.000 description 11
- 238000001556 precipitation Methods 0.000 description 10
- HBBGRARXTFLTSG-UHFFFAOYSA-N Lithium ion Chemical compound [Li+] HBBGRARXTFLTSG-UHFFFAOYSA-N 0.000 description 9
- 229910001416 lithium ion Inorganic materials 0.000 description 9
- 230000010287 polarization Effects 0.000 description 8
- 238000001453 impedance spectrum Methods 0.000 description 7
- 238000006243 chemical reaction Methods 0.000 description 2
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- 210000001787 dendrite Anatomy 0.000 description 2
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- 239000003990 capacitor Substances 0.000 description 1
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- 239000007788 liquid Substances 0.000 description 1
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- 239000012782 phase change material Substances 0.000 description 1
- 238000006479 redox reaction Methods 0.000 description 1
- 238000006722 reduction reaction Methods 0.000 description 1
- 238000000926 separation method Methods 0.000 description 1
- 238000006276 transfer reaction Methods 0.000 description 1
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- H—ELECTRICITY
- H01—ELECTRIC ELEMENTS
- H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
- H01M10/00—Secondary cells; Manufacture thereof
- H01M10/60—Heating or cooling; Temperature control
- H01M10/61—Types of temperature control
- H01M10/615—Heating or keeping warm
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- H—ELECTRICITY
- H01—ELECTRIC ELEMENTS
- H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
- H01M10/00—Secondary cells; Manufacture thereof
- H01M10/60—Heating or cooling; Temperature control
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- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
- Y02E60/10—Energy storage using batteries
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Abstract
The invention discloses a parameter selection method and a device for low-temperature lossless alternating-current self-heating of a battery. The method is applied to the field of batteries, and the parameters of low-temperature lossless alternating-current self-heating of the batteries are selected by the method, so that the batteries can be heated rapidly and efficiently, and the battery health state is not damaged greatly, and the method has great significance in realizing lossless, rapid and efficient self-heating of the batteries. Compared with other alternating current self-heating parameter selection methods, the method has the advantages of simplicity in use and wide application range.
Description
Technical Field
The invention relates to the technical field of battery management, in particular to a method and a device for selecting parameters of low-temperature lossless alternating current self-heating of a battery.
Background
In a low-temperature environment, the lithium ion battery has poor charging and discharging capability, and the situation that the lithium ion battery is not charged and discharged can occur. In addition, the lithium ion battery is charged in a low-temperature environment, and the cathode is extremely easy to be subjected to lithium precipitation and aging, so that the active lithium ions in the battery are rapidly lost and lithium dendrites are grown, the capacity of the battery is rapidly reduced, and the risks of internal short circuit and thermal runaway of the battery are increased. In order to improve the performance of the lithium ion battery in a low-temperature environment, a heating method is adopted to improve the actual running temperature of the battery system, which is the most effective method in practical application.
At present, the battery low-temperature heating has two methods of external heating and internal heating respectively. External heating mainly comprises wind heat, liquid heat, phase change material heating and the like, and all of the external heating needs to transfer heat from an external heat source to the battery through heat conduction or heat convection. Although the external heating method is mature, the external heating method has the defects of low temperature rise rate, low energy efficiency and the like which are difficult to overcome. Compared with external heating, the internal heating method of the battery is characterized in that heat is generated from the inside of the battery, and heat conduction from outside to inside is not needed, so that the internal heating method of the battery has the advantages of high temperature rise rate and high energy efficiency. Among them, a representative method is to excite a battery using an alternating current to generate joule heat, thereby achieving rapid and efficient heating of the battery. However, if the ac self-heating method is improperly used, a great damage is brought to the health state of the battery, and the actual service life and safety of the battery are seriously affected.
Disclosure of Invention
Aiming at the defects in the prior art, the invention provides a method and a device for selecting parameters of low-temperature lossless alternating-current self-heating of a battery, and the method selects the parameters of alternating-current self-heating, so that the rapid and efficient heating of the battery can be realized, the battery health state can not be greatly damaged, the method and the device have important significance for realizing lossless, rapid and efficient self-heating of the battery, and the method is simple to use and wide in application range.
In order to achieve the above purpose, the invention provides a parameter selection method for low-temperature lossless alternating current self-heating of a battery, which comprises the following steps:
Step 1, calibrating the characteristic frequency of the alternating current self-heating of the battery at different temperatures, wherein the calibration principle is that the alternating current impedance of the battery at the characteristic frequency is irrelevant to the charge state of the battery;
step 2, acquiring the real-time temperature of the battery, and acquiring the characteristic frequency of the alternating current self-heating of the battery based on the real-time temperature of the battery and the calibration result in the step 1;
And 3, oscillating the battery by adopting small-amplitude alternating current excitation current with characteristic frequency, and gradually increasing the amplitude of the alternating current excitation current until the upper limit of the battery terminal voltage reaches the charge cut-off voltage or the lower limit reaches the discharge cut-off voltage, so as to obtain the optimal excitation amplitude of the alternating current self-heating of the battery.
In another embodiment, in step 1, the calibrating the characteristic frequency of the ac self-heating of the battery at different temperatures specifically includes:
acquiring a temperature interval [ T low,Tup ] of the battery needing alternating current self-heating, uniformly selecting N temperature sampling points { T i |i=1, 2, …, N } in the temperature interval [ T low,Tup ], and selecting M different charge states { SOC j |j=1, 2, …, M } of the battery;
Acquiring impedance Z ij (omega) of a temperature sampling point T i under each frequency in a test frequency range under a state of charge SOC j, wherein omega epsilon [ omega low,ωup],[ωlow,ωup ] is the test frequency range;
Calculating the difference of impedance values of the temperature sampling point T i under M different charge states, and obtaining the frequency with the difference smaller than a preset value and the smallest difference as the smallest difference frequency of the temperature sampling point T i;
Interpolation is carried out in a temperature interval [ T low,Tup ] according to the N temperature sampling points and the minimum difference frequency corresponding to each temperature sampling point, so that a temperature-minimum difference frequency curve of the temperature interval [ T low,Tup ] is obtained, namely a calibration result, wherein for any temperature in the temperature interval [ T low,Tup ], all frequencies which are in a test frequency range and are greater than or equal to the corresponding minimum difference frequency are characteristic frequencies of the temperature.
In another embodiment, in step 2, the minimum difference frequency corresponding to the real-time temperature of the battery is used as the characteristic frequency of the ac self-heating of the battery.
In another embodiment, the calculating the difference of the impedance values of the temperature sampling point T i in M different charge states obtains a minimum frequency with a difference smaller than a preset value as a minimum difference frequency, which specifically includes:
The difference between the measured impedance values at the same temperature T i and in different charge states is measured by adopting the relative standard deviation of the real part of the impedance value, and the frequency with the relative standard deviation smaller than the preset value and the smallest value is selected as the minimum difference frequency of the temperature sampling point T i.
In another embodiment, in the process of uniformly selecting N temperature sampling points in the temperature interval [ T low,Tup ], the temperature numerical difference between two adjacent temperature sampling points is 1 ℃ to 5 ℃.
In another embodiment, the selecting M different charge states of the battery is specifically
10 Different charge states were selected, 10%, 20%, 30%, 40%, 50%, 60%, 70%, 80%, 90%, 100%, respectively.
In another embodiment, in step 3, a voltage margin is set at the optimal excitation amplitude of the battery ac self-heating, that is, when the upper limit of the battery terminal voltage reaches the charge cutoff voltage minus the voltage margin or the lower limit reaches the discharge cutoff voltage plus the voltage margin, the ac excitation current amplitude at this time is the optimal excitation amplitude of the battery ac self-heating.
In order to achieve the above object, the present invention further provides a parameter selection device for low-temperature lossless ac self-heating of a battery, which comprises a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of the above method when executing the computer program.
The invention provides a method and a device for selecting parameters of low-temperature lossless alternating-current self-heating of a battery, which are used for calibrating the characteristic frequency of the battery at different temperatures as the frequency of alternating-current self-heating by taking the alternating-current impedance of the battery at the characteristic frequency as a principle that the alternating-current impedance of the battery is irrelevant to the charge state of the battery, and then obtaining the optimal excitation amplitude of the alternating-current self-heating of the battery by real-time control. Compared with other alternating current self-heating parameter selection methods, the method has the advantages of simplicity in use and wide application range.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to the structures shown in these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a method for selecting parameters for low-temperature lossless AC self-heating of a battery in an embodiment of the invention;
FIG. 2 is a schematic diagram of a typical AC excitation current in an embodiment of the invention;
FIG. 3 is a flow chart of calibrating the characteristic frequency of AC self-heating of a battery at different temperatures in an embodiment of the invention;
Fig. 4 is a nyquist plot of ac impedance spectrum testing of the battery at different SOCs in an embodiment of the present invention.
The achievement of the objects, functional features and advantages of the present invention will be further described with reference to the accompanying drawings, in conjunction with the embodiments.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are only some, but not all embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
It should be noted that all directional indicators (such as up, down, left, right, front, and rear … …) in the embodiments of the present invention are merely used to explain the relative positional relationship, movement, etc. between the components in a particular posture (as shown in the drawings), and if the particular posture is changed, the directional indicator is changed accordingly.
Furthermore, descriptions such as those referred to as "first," "second," and the like, are provided for descriptive purposes only and are not to be construed as indicating or implying a relative importance or implying an order of magnitude of the indicated technical features in the present disclosure. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include at least one such feature. In the description of the present invention, the meaning of "plurality" means at least two, for example, two, three, etc., unless specifically defined otherwise.
In the present invention, unless specifically stated and limited otherwise, the terms "connected," "affixed," and the like are to be construed broadly, and for example, "affixed" may be a fixed connection, a removable connection, or an integral body; the device can be mechanically connected, electrically connected, physically connected or wirelessly connected; either directly or indirectly, through intermediaries, or both, may be in communication with each other or in interaction with each other, unless expressly defined otherwise. The specific meaning of the above terms in the present invention can be understood by those of ordinary skill in the art according to the specific circumstances.
In addition, the technical solutions of the embodiments of the present invention may be combined with each other, but it is necessary to be based on the fact that those skilled in the art can implement the technical solutions, and when the technical solutions are contradictory or cannot be implemented, the combination of the technical solutions should be considered as not existing, and not falling within the scope of protection claimed by the present invention.
The invention discloses a novel battery alternating current self-heating parameter selection method, which can conveniently obtain the optimal alternating current excitation frequency by carrying out alternating current impedance spectrum test and analysis on a battery, and further can determine the proper alternating current excitation amplitude through real-time control according to the specific alternating current excitation frequency, thereby realizing lossless, rapid and efficient battery self-heating. Referring to fig. 1, a method for selecting parameters of low-temperature lossless ac self-heating of a battery in this embodiment specifically includes the following steps:
Step 1, calibrating the characteristic frequency of the alternating current self-heating of the battery at different temperatures, wherein the calibration principle is that the alternating current impedance of the battery at the characteristic frequency is irrelevant to the charge state of the battery;
step 2, acquiring the real-time temperature of the battery, and acquiring the characteristic frequency of the alternating current self-heating of the battery based on the real-time temperature of the battery and the calibration result in the step 1;
And 3, oscillating the battery by adopting small-amplitude alternating current excitation current with characteristic frequency, and gradually increasing the amplitude of the alternating current excitation current until the upper limit of the battery terminal voltage reaches the charge cut-off voltage or the lower limit reaches the discharge cut-off voltage, so as to obtain the optimal excitation amplitude of the alternating current self-heating of the battery.
The main idea of the parameter selection method in this embodiment is to analyze and obtain ac self-heating parameters capable of avoiding serious aging of the battery from the aging mechanism of ac self-heating. Particularly, since the battery is charged in a low-temperature environment, lithium precipitation aging is very easy to occur in the negative electrode, and the lithium precipitation aging can cause rapid loss of active lithium ions and growth of lithium dendrites in the battery, thereby rapidly reducing the capacity of the battery and increasing the risks of internal short circuit and thermal runaway of the battery. When the battery is excited by alternating current, a half-cycle charging current appears in each cycle, as shown in fig. 2; wherein, the charging current is positive and the discharging current is negative. The selection of a suitable ac frequency so that no lithium precipitation occurs at the battery negative electrode during the charging process of half a period is one of the key problems to be solved by the parameter selection method in this embodiment. On the other hand, if the amplitude of the ac excitation is too large, the internal polarization of the battery is too large, and irreversible damage is also generated to the battery health status, so selecting a suitable ac amplitude after determining the ac frequency is another key problem to be solved by the parameter selection method in this embodiment, that is, the parameters to be selected by the parameter selection method in this embodiment are the ac frequency and the amplitude. It should be noted that although the present embodiment is described with respect to the sinusoidal ac excitation in fig. 2, the parameter selection method in the present embodiment is equally applicable to other types of positive and negative pulse ac excitation, such as positive and negative pulse square waves, triangular waves, and the like.
Alternating faraday and non-faraday currents, respectively, may occur at the battery electrode interface when the battery is ac excited. The faraday current corresponds to the redox reaction current at the electrode interface, while the non-faraday current corresponds to the electric double layer capacitor charge-discharge current at the electrode interface. And the lithium separation reaction at the negative electrode of the battery is a reduction reaction generated by the active lithium ions to obtain electrons, and the current generated by the reaction corresponds to Faraday current. In other words, no aging of lithium precipitation occurs inside the battery as long as no or little faraday current occurs at the time of ac excitation. Therefore, the main idea of the parameter selection method in this embodiment is to increase the ac excitation frequency to reduce the faraday current in each period as much as possible, so as to avoid the possibility of lithium precipitation and aging of the battery, and to generate joule heat for heating mainly through polarization of non-faraday current. To achieve this objective, the present embodiment can determine the characteristic frequency under different temperature environments through ac impedance spectrum test and analysis: at a specific temperature, the battery is ac-excited at an ac frequency lower than the characteristic frequency, and lithium precipitation aging may occur, whereas the battery is ac-excited at an ac frequency higher than the characteristic frequency (including the characteristic frequency) without lithium precipitation aging. In order to determine the ac self-heating parameters of the battery, the characteristic frequency values at different temperatures in the heating temperature interval, namely the calibration process in step 1, need to be determined through an ac impedance spectrum test.
Referring to fig. 3, in this embodiment, the characteristic frequencies of ac self-heating of the battery at different temperatures are calibrated, specifically:
Firstly, determining a temperature interval [ T low,Tup ] of the battery needing alternating current self-heating according to actual requirements, uniformly selecting N temperature sampling points { T i |i=1, 2, …, N } in the temperature interval [ T low,Tup ], and gradually collecting the temperature sampling points downwards from the highest temperature T up, wherein the temperature numerical value difference between two adjacent temperature sampling points is 1-5 ℃;
At a specific temperature T i∈[Tlow,Tup ], an ac impedance spectrum test is performed on the battery under test in different states of Charge (SOC), so as to obtain impedance spectrum data corresponding to the different states, as shown in fig. 4. Namely:
Selecting M different charge states { SOC j |j=1, 2, …, M }, for example 10 different charge states, 10%, 20%, 30%, 40%, 50%, 60%, 70%, 80%, 90%, 100%, respectively; performing alternating current impedance spectrum test on the battery to be tested under different charge states SOC j within a test frequency range [ omega low,ωup ] to obtain impedance Z ij (omega) of a temperature sampling point T i under each frequency under the charge state SOC j, wherein omega epsilon [ omega low,ωup ], and the test frequency range is generally from the highest frequency of 10kHz to the lowest frequency of 2mHz;
Then, calculating the difference of impedance values of the temperature sampling point T i under M different charge states to obtain a minimum difference frequency, wherein the difference is smaller than a preset value, and the minimum frequency is used as the minimum difference frequency of the temperature sampling point T i;
Finally, interpolation is carried out in a temperature interval [ T low,Tup ] according to the N temperature sampling points and the minimum difference frequency corresponding to each temperature sampling point, so as to obtain a temperature-minimum difference frequency curve of the temperature interval [ T low,Tup ], namely a calibration result, wherein for any temperature in the temperature interval [ T low,Tup ], all frequencies which are in a test frequency range and are greater than or equal to the corresponding minimum difference frequency are characteristic frequencies of the temperature.
In the implementation process, since the impedance values corresponding to the different states of charge SOC j at the specific frequency ω can form a complex vector { Z ij (ω) |j=1, 2, …, M }, the difference between the impedance values corresponding to the different states of charge SOC j at the specific frequency can be calculated and measured by the relative standard deviation std (Real (Z ij(ω)))/mean(Real(Zij (ω))) of the Real parts of the impedance values. Finally, searching a minimum frequency point for making the relative standard deviation std (Real (Z ij(ω)))/mean(Real(Zij (omega))) smaller than the preset value sigmaAs the minimum difference frequency of the temperature sampling point T i, namely:
It should be noted that, besides the real impedance part, various indexes or formulas can be selected to measure the impedance value differences corresponding to the different states of charge SOC j, which are all within the protection scope of the parameter selection method in the present embodiment.
The reason for determining the characteristic frequency through the calibration flow is as follows: the polarization process corresponding to Faraday current in the lithium ion battery is a charge transfer reaction, and impedance data corresponding to the polarization process is related to the battery SOC; correspondingly, the impedance data of the polarization process corresponding to the non-Faraday current in the lithium ion battery is irrelevant to the SOC; therefore, by analyzing whether the impedance value and the SOC are related at a specific frequency, it can be determined whether the polarization process corresponding to the frequency is related to the faraday current. And because the characteristic frequency determined by the method is smaller than the preset value, the impedance value of the characteristic frequency can be determined to be basically irrelevant to the SOC, so that the polarization process at the characteristic frequency can be considered to not generate obvious Faraday current. Therefore, at the current temperature, the battery is heated by adopting alternating current excitation higher than the characteristic frequency, and lithium precipitation aging does not occur.
On the other hand, when the frequency is greater thanIn general, std (Real (Z ij(ω)))/mean(Real(Zij (ω))) < σ is satisfied. However, the use of higher ac frequencies is detrimental to joule heat generation because the battery impedance decreases progressively with increasing frequency. Therefore, the two aspects of heat generation power and lossless heating are comprehensively considered, and the minimum difference frequency/>, corresponding to the real-time temperature of the battery, is directly obtained in the embodimentAs a characteristic frequency of the battery alternating current self-heating.
In addition to lithium precipitation and aging, if the ac excitation amplitude during self-heating is too large, for example, the actual terminal voltage of the battery exceeds the charge-discharge cut-off voltage of the battery, the polarization inside the battery becomes too large, and irreversible damage is also caused to the battery health state. On the other hand, if the ac excitation amplitude is too small, the joule heating power is too low, and the rapid self-heating function cannot be realized. Accordingly, there is a need to comprehensively consider determining a suitable ac excitation amplitude to achieve a lossless, rapid self-heating function of the battery. In the prior art, it is very complicated to accurately calculate the optimal current amplitude of alternating current excitation according to the state quantities such as the ambient temperature, the characteristic frequency, the SOC of the battery and the like, and estimation errors are easy to occur. Therefore, the present embodiment solves this problem by controlling the amplitude of the ac excitation voltage in real time. Specifically, at a specific temperature T i, the characteristic frequency may be employed firstThe battery is oscillated by the small ac excitation current, and then the ac excitation current amplitude is gradually increased (for example, the amplitude is gradually increased from 0) so that the upper limit of the battery terminal voltage reaches the charge cut-off voltage V c or the lower limit reaches the discharge cut-off voltage V d of the battery, and the ac excitation current amplitude at this time is the optimal excitation amplitude for the ac self-heating of the battery. As a preferred embodiment, the voltage margin δ may be set at the optimum excitation amplitude of the battery ac self-heating, that is, when the upper limit of the battery terminal voltage reaches the charge cut-off voltage minus the voltage margin (i.e., V c - δ) or the lower limit reaches the discharge cut-off voltage plus the voltage margin (i.e., V d +δ), the ac excitation current amplitude at this time is the optimum excitation amplitude of the battery ac self-heating.
In summary, the method for selecting parameters of low-temperature lossless ac self-heating of a battery disclosed in this embodiment uses ac impedance of the battery at a characteristic frequency and the charge state of the battery as a principle, marks the characteristic frequency of the battery at different temperatures as ac self-heating frequency, and then controls in real time to obtain the optimal excitation amplitude of ac self-heating of the battery. Compared with other alternating current self-heating parameter selection methods, the method has the advantages of simplicity in use and wide application range.
The foregoing description is only of the preferred embodiments of the present invention and is not intended to limit the scope of the invention, and all equivalent structural changes made by the description of the present invention and the accompanying drawings or direct/indirect application in other related technical fields are included in the scope of the invention.
Claims (5)
1. The parameter selection method for the low-temperature lossless alternating-current self-heating of the battery is characterized by comprising the following steps of:
Step 1, calibrating the characteristic frequency of the alternating current self-heating of the battery at different temperatures, wherein the calibration principle is that the alternating current impedance of the battery at the characteristic frequency is irrelevant to the charge state of the battery;
step 2, acquiring the real-time temperature of the battery, and acquiring the characteristic frequency of the alternating current self-heating of the battery based on the real-time temperature of the battery and the calibration result in the step 1;
step 3, oscillating the battery by adopting small-amplitude alternating current excitation current with characteristic frequency, and gradually increasing the amplitude of the alternating current excitation current until the upper limit of the battery terminal voltage reaches the charge cut-off voltage or the lower limit reaches the discharge cut-off voltage, so as to obtain the optimal excitation amplitude of the alternating current self-heating of the battery;
The characteristic frequency of alternating current self-heating of the battery at different temperatures is calibrated, and the characteristic frequency is specifically as follows:
acquiring a temperature interval [ T low,Tup ] of the battery needing alternating current self-heating, uniformly selecting N temperature sampling points { T i |i=1, 2, …, N } in the temperature interval [ T low,Tup ], and selecting M different charge states { SOC j |j=1, 2, …, M } of the battery;
Acquiring impedance Z ij (omega) of a temperature sampling point T i under each frequency in a test frequency range under a state of charge SOC j, wherein omega epsilon [ omega low,ωup],[ωlow,ωup ] is the test frequency range;
Calculating the difference of impedance values of the temperature sampling point T i under M different charge states, and obtaining the frequency with the difference smaller than a preset value and the smallest difference as the smallest difference frequency of the temperature sampling point T i;
interpolation is carried out in a temperature interval [ T low,Tup ] according to the N temperature sampling points and the minimum difference frequency corresponding to each temperature sampling point, so that a temperature-minimum difference frequency curve of the temperature interval [ T low,Tup ] is obtained, namely a calibration result, wherein for any temperature in the temperature interval [ T low,Tup ], all frequencies which are in a test frequency range and are greater than or equal to the corresponding minimum difference frequency are characteristic frequencies of the temperature;
In the step 2, taking the minimum difference frequency corresponding to the real-time temperature of the battery as the characteristic frequency of the alternating current self-heating of the battery;
The calculating temperature sampling point T i calculates the difference of impedance values under M different charge states, and obtains the minimum frequency with the difference smaller than a preset value as the minimum difference frequency, specifically:
The difference between the measured impedance values at the same temperature T i and in different charge states is measured by adopting the relative standard deviation of the real part of the impedance value, and the frequency with the relative standard deviation smaller than the preset value and the smallest value is selected as the minimum difference frequency of the temperature sampling point T i.
2. The method for selecting parameters for low-temperature lossless alternating current self-heating of a battery according to claim 1, wherein in the process of uniformly selecting N temperature sampling points in a temperature interval [ T low,Tup ], the temperature numerical difference between two adjacent temperature sampling points is 1-5 ℃.
3. The method for selecting parameters for low-temperature lossless ac self-heating of a battery according to claim 1, wherein said selecting M different charge states of the battery is specifically
10 Different charge states were selected, 10%, 20%, 30%, 40%, 50%, 60%, 70%, 80%, 90%, 100%, respectively.
4. The method for selecting parameters of low-temperature lossless ac self-heating of a battery according to claim 1,2 or 3, wherein in step 3, a voltage margin is set when the optimum excitation amplitude of ac self-heating of the battery is set, that is, when the upper limit of the battery terminal voltage reaches the charge cut-off voltage minus the voltage margin or the lower limit reaches the discharge cut-off voltage plus the voltage margin, the ac excitation current amplitude at this time is the optimum excitation amplitude of ac self-heating of the battery.
5. A battery low temperature lossless ac self-heating parameter selection device comprising a memory and a processor, said memory storing a computer program, characterized in that said processor, when executing said computer program, implements the steps of the method according to any one of claims 1 to 4.
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| WO2012088555A1 (en) * | 2010-12-30 | 2012-07-05 | Österreichisches Forschungs- Und Prüfzentrum Arsenal Gesellschaft M.B.H. | Method for determining the maximum charge capacity available at any one time |
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| CN107039708A (en) * | 2016-11-29 | 2017-08-11 | 北京交通大学 | A kind of Li-ion batteries piles low temperature self-heating method |
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