CN110596612A - Selection method of retired lithium battery classification method for face-to-face echelon utilization - Google Patents
Selection method of retired lithium battery classification method for face-to-face echelon utilization Download PDFInfo
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- WHXSMMKQMYFTQS-UHFFFAOYSA-N Lithium Chemical compound [Li] WHXSMMKQMYFTQS-UHFFFAOYSA-N 0.000 title claims abstract description 186
- 229910052744 lithium Inorganic materials 0.000 title claims abstract description 186
- 238000000034 method Methods 0.000 title claims abstract description 116
- 238000010187 selection method Methods 0.000 title claims abstract description 23
- 230000004044 response Effects 0.000 claims abstract description 76
- 238000002474 experimental method Methods 0.000 claims abstract description 31
- 238000007600 charging Methods 0.000 claims abstract description 15
- 230000003247 decreasing effect Effects 0.000 claims description 10
- 230000008569 process Effects 0.000 claims description 9
- 238000007599 discharging Methods 0.000 claims description 8
- 238000012360 testing method Methods 0.000 claims description 5
- 238000010278 pulse charging Methods 0.000 claims description 3
- 230000005611 electricity Effects 0.000 claims 1
- 230000000284 resting effect Effects 0.000 claims 1
- 238000010586 diagram Methods 0.000 description 8
- 238000011156 evaluation Methods 0.000 description 7
- 230000000694 effects Effects 0.000 description 4
- 238000004064 recycling Methods 0.000 description 4
- 238000004146 energy storage Methods 0.000 description 3
- 230000003068 static effect Effects 0.000 description 3
- 238000004891 communication Methods 0.000 description 2
- 230000001133 acceleration Effects 0.000 description 1
- 230000009471 action Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 238000009776 industrial production Methods 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000001737 promoting effect Effects 0.000 description 1
- 238000011084 recovery Methods 0.000 description 1
- 230000009467 reduction Effects 0.000 description 1
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
- G01R31/367—Software therefor, e.g. for battery testing using modelling or look-up tables
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
- G01R31/385—Arrangements for measuring battery or accumulator variables
- G01R31/387—Determining ampere-hour charge capacity or SoC
- G01R31/388—Determining ampere-hour charge capacity or SoC involving voltage measurements
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Abstract
The invention provides a selection method of a retired lithium battery classification method facing to echelon utilization, which comprises the steps of firstly charging retired lithium batteries according to at least one preset electric quantity to obtain lithium batteries to be tested, then carrying out a hybrid power pulse capability characteristic experiment on the lithium batteries to be tested and obtaining corresponding voltage response values, establishing a voltage response curve according to the voltage response values, then respectively solving the root mean square error sum of the voltage response values of a plurality of retired lithium battery classification methods facing to echelon utilization according to the voltage response curve, and finally selecting the retired lithium battery classification method facing to echelon utilization, which corresponds to the root mean square error sum of the minimum voltage response values, as an optimal retired lithium battery classification method facing to echelon utilization.
Description
Technical Field
The invention belongs to the field of resource utilization, and particularly relates to a selection method of a retired lithium battery with face-to-face echelon utilization.
Background
At present, lithium batteries are widely applied to industrial production, and with the application of a large number of lithium batteries, the environmental protection and safety disposal of retired batteries becomes a problem which is urgently needed to be solved at present. The existing method mainly comprises direct recovery and echelon utilization, wherein the echelon utilization is to sort batteries (with 80% of capacity of new batteries) retired from an electric vehicle, recombine the retired batteries with similar voltage response consistency in the charging and discharging process, and apply the batteries to occasions such as low-speed electric vehicles, communication base stations, energy storage power stations and the like again. The echelon utilization can maximize the full-life value of the lithium battery and indirectly reduce the application cost of the lithium battery, thereby promoting the development and further application of the lithium battery.
The retired lithium batteries need to be classified before the retired lithium batteries are recycled in a gradient manner, and the lithium batteries with the same voltage response consistency characteristics are recombined together for secondary utilization, so that the safety and the economy of the gradient utilization are greatly improved. Therefore, accurate and reasonable classification is very important. At present, various echelon utilization classification methods for retired lithium batteries exist, and how to evaluate the classification methods and classification results becomes a key. Currently, a static evaluation method is mostly adopted, that is, the capacity or the internal resistance of each battery is obtained through real-time measurement, and then the retired lithium batteries are recycled differently according to whether the capacity or the internal resistance of the batteries classified in the same group is consistent or is relatively recent.
However, the echelon utilization of the lithium battery is generally applied to the field of dynamic working conditions at present, and the specific condition of the echelon utilization is judged according to the capacity or the internal resistance of each lithium battery by the traditional static evaluation method, so that the traditional static evaluation method is not beneficial to improving the accuracy and the rationality of the evaluation of the retired lithium battery classification method for the echelon utilization.
Disclosure of Invention
The invention is carried out aiming at the problems, and aims to provide a selection method of a graded-utilization-oriented classification method of the retired lithium battery based on complex dynamic working conditions of different capacitances of the retired lithium battery, so that the accuracy and the rationality of the evaluation of the graded-utilization-oriented classification method of the retired lithium battery are improved.
In order to achieve the purpose, the invention adopts the following technical scheme:
the invention provides a selection method of a retired lithium battery with facing echelon utilization, which is characterized by comprising the following steps of:
step S1: charging the retired lithium battery according to at least one preset electric quantity to obtain a lithium battery to be tested;
step S2: carrying out a hybrid power pulse capability characteristic (HPPC) experiment on the lithium battery to be tested, and respectively recording the voltage of the lithium battery to be tested in the experiment process of the hybrid power pulse capability characteristic according to a preset recording frequency so as to obtain a plurality of voltage response values corresponding to the lithium battery to be tested;
step S3: establishing a voltage response value curve according to the voltage response value;
step S4: taking a plurality of preset graded-utilization-oriented retired lithium battery classification methods as a classification method set to be tested;
step S5: selecting a retired lithium battery classification method facing echelon utilization from a classification method to be tested in a centralized manner as a current test classification method;
step S6: classifying the lithium batteries to be tested according to the current experiment classification method to form m groups;
step S7: obtaining a voltage response value root mean square error sum A corresponding to the current experiment classification method according to the voltage response curve;
step S8: removing the current experiment classification method from the classification method set to be tested, thereby forming a new classification method set to be tested,
step S9: repeating the step S6 to the step S8 until the number of the ex-service lithium battery classification methods for echelon utilization in the experiment classification method set is 0, and then entering the step S10;
step S10: and selecting the retired lithium battery classification method facing the echelon utilization corresponding to the minimum voltage response value root mean square error and A as the optimal retired lithium battery classification method facing the echelon utilization.
The selection method of the retired lithium battery with the face-to-face echelon utilization provided by the invention can also have the following characteristics: the scene type of the graded-utilization-oriented decommissioned lithium battery classification method is an energy type, the types of the preset electric quantity in the step S1 are 10, the types include full-charge capacity when the decommissioned lithium battery is fully charged and 9 kinds of reduced electric capacity respectively obtained after the full-charge capacity is sequentially reduced for 9 times by taking 10% of the full-charge capacity as the reduction quantity, and the number of voltage response curves is 10 and respectively corresponds to the full-charge capacity and the 9 kinds of reduced battery quantities.
The selection method of the retired lithium battery with the face-to-face echelon utilization provided by the invention can also have the following characteristics: the scene type of the classification method for the retired lithium battery oriented to the echelon utilization is a power type, the type of the predetermined electric quantity in the step S1 is 1, the type is the same as the full-charge capacity of the retired lithium battery when the retired lithium battery is fully charged, and the number of the voltage corresponding curves is 1 and corresponds to the full-charge capacity.
The selection method of the retired lithium battery with the face-to-face echelon utilization provided by the invention can also have the following characteristics: in step S7, the number of the lithium batteries to be tested in the group is Ni(i ═ 1,2 … m), and the process of obtaining the root mean square error sum a of the voltage response values includes the following substeps:
step S7-1: obtaining the jth (j is 1,2,3, … N) in the ith subgroup (i is 1,2,3, …, m) according to the voltage response value curvei) The Root Mean Square Error (RMSE) of the lithium battery to be tested is expressed as follows:
t is total duration, V, of the hybrid power pulse capability characteristic experimentj,tThe voltage response value of the j th lithium battery to be tested in the ith group at the time t,for being in ith groupAnd measuring a reference voltage value of the lithium battery at the time t, wherein the reference voltage value is the minimum voltage response value of the lithium battery to be measured at the time t in the ith group.
Step S7-2: the Root Mean Square Error (RMSE) of the m groups of lithium batteries to be tested is summed to obtain a root mean square error sum A, and the calculation formula of the root mean square error sum A is as follows:
the selection method of the retired lithium battery with the face-to-face echelon utilization provided by the invention can also have the following characteristics: in step S2, the predetermined recording frequency is 1 Hz.
The selection method of the retired lithium battery with the face-to-face echelon utilization provided by the invention can also have the following characteristics: in step S2, the hybrid pulse capability characteristic test includes the following substeps:
step S2-1: performing constant current pulse discharge of preset discharge time on the lithium battery to be tested at a first preset multiplying power;
step S2-2: standing the lithium battery to be tested for a first preset standing time;
step S2-3: constant current pulse charging of the preset charging time is carried out on the lithium battery to be tested at a second preset multiplying power;
step S2-4: standing the lithium battery to be tested for a second preset standing time;
step S2-5: and completely discharging the lithium battery to be tested.
The selection method of the retired lithium battery with the face-to-face echelon utilization provided by the invention can also have the following characteristics: in step S2-1, the first predetermined magnification is 1C magnification and the predetermined discharge time is 10 seconds, and in step S2-3, the second predetermined magnification is 1C magnification and the predetermined charge time is 10 seconds.
The selection method of the retired lithium battery with the face-to-face echelon utilization provided by the invention can also have the following characteristics: wherein, in the step S2-2, the first preset standing time is 40 seconds, and in the step S2-4, the second preset standing time is 40 seconds.
Action and Effect of the invention
According to the selection method of the retired lithium battery classification method facing the echelon utilization, firstly, the retired lithium battery is charged according to at least one preset electric quantity to obtain a lithium battery to be tested, then a hybrid power pulse capability characteristic experiment is carried out on the lithium battery to be tested to obtain a corresponding voltage response value, a voltage response curve is established according to the voltage response value, then the sum of root mean square errors of the voltage response values is respectively obtained for various retired lithium battery classification methods facing the echelon utilization according to the voltage response curve, and finally, the retired lithium battery classification method facing the echelon utilization, corresponding to the minimum voltage response value root mean square error, is selected as the optimal retired lithium battery classification method facing the echelon utilization. Because the voltage response curve is obtained in the retired lithium battery with dynamically changed capacitance, and the root mean square error of the voltage response value represents the consistency of the voltage response value of the retired lithium battery with dynamically changed capacitance, the selection method of the retired lithium battery with the echelon utilization can improve the accuracy and the rationality of the evaluation of the retired lithium battery with the echelon utilization based on the complex dynamic working conditions of different capacitances of the retired lithium battery.
Drawings
Fig. 1 is a schematic diagram illustrating a selection method of a classification method for retired lithium batteries with facing echelon utilization in an embodiment of the present invention;
fig. 2 is a schematic voltage response curve diagram of the graded-utilization-oriented retired lithium battery classification method in the embodiment of the present invention when the scene type is energy type;
fig. 3 is a schematic voltage response curve diagram when the scene type of the classification method for a retired lithium battery facing echelon utilization is a power type in the embodiment of the present invention; and
FIG. 4 is a schematic diagram of calculating Root Mean Square Error (RMSE) in an embodiment of the invention.
Detailed Description
In order to make the technical means, creation features, achievement purposes and effects of the present invention easy to understand, the following embodiments specifically describe the selection method of the classification method of the retired lithium battery for the facing echelon utilization according to the present invention with reference to the attached drawings.
Fig. 1 is a schematic step diagram of a selection method of a retired lithium battery classification method for face-to-face echelon utilization in an embodiment of the present invention.
As shown in fig. 1, a selection method S100 of the method for classifying retired lithium batteries facing to echelon utilization in this embodiment is used to select an optimal method for classifying retired lithium batteries facing to echelon utilization from a plurality of predetermined methods for classifying retired lithium batteries facing to echelon utilization.
In the energy type scenario, the gradient utilization scenario of the retired lithium battery is a scenario in which the consistency of the voltage response values during the charging and discharging process is high in the whole recycling time period after the retired lithium battery is fully charged with 100% of the charge capacity, for example: power peak regulation, communication base stations and the like in the energy storage power station. At this time, the charging and discharging multiplying power of the retired lithium battery is less than 0.5C, so that the consistency of the voltage response values of the retired lithium battery in the whole recycling time period needs to be evaluated, and the retired lithium battery gradient utilization method can be accurately and reasonably evaluated.
In the power type scenario, the echelon utilization scenario of the retired lithium battery is a scenario that after the retired lithium battery is fully charged with 100% of charge capacity, the consistency of the corresponding voltage values in the charging and discharging process within a short recycling time period is high, for example: power frequency modulation in energy storage power stations, acceleration of electric vehicles, and the like. At this time, the charge-discharge rate > of the retired lithium battery is 2C (which has a high requirement on power output), so that the consistency of the voltage response values of the retired lithium battery in a short recycling time period needs to be evaluated, so that the retired lithium battery echelon utilization method can be accurately and reasonably evaluated.
The selection method S100 for the graded-utilization-oriented retired lithium battery classification method comprises the following steps:
step S1: charging the retired lithium battery according to at least one preset electric quantity to obtain the lithium battery to be tested, when the scene type of the retired lithium battery classification method facing the echelon utilization is energy type, the preset electric quantity is 10 types, including full-charge capacity when the retired lithium battery is fully charged and 9 types of decreasing electric capacity respectively obtained after the full-charge capacity is sequentially decreased for 9 times by taking 10% of the full-charge capacity as a decreasing amount, specifically 100% SOC (full-charge capacity) and 9 types of decreasing electric capacity obtained by sequentially decreasing the full-charge capacity to 10% SOC every 10% SOC from 100% SOC, namely, each retired lithium battery is respectively charged for 10 times to obtain 10 retired lithium batteries with different charging capacities, when the scene type of the classification method for the retired lithium battery facing the echelon utilization is a power type, the type of the preset electric quantity is 1, and the preset electric quantity is a full-charge capacity when the retired lithium battery is fully charged, and is specifically 100% SOC. In this embodiment, the number of the retired lithium batteries is greater than 50.
Step S2: carrying out HPPC (hybrid power pulse capability characteristic) experiment on the lithium battery to be tested, and respectively recording the voltage of the lithium battery to be tested in the experiment process of the hybrid power pulse capability characteristic according to a preset recording frequency so as to obtain a plurality of voltage response values corresponding to the lithium battery to be tested, wherein the preset recording frequency is 1 Hz.
The HPPC experiment comprises the following substeps:
step S2-1: and performing constant current pulse discharge on the lithium battery to be tested for a preset discharge time by using a first preset multiplying power, wherein the first preset multiplying power is 1C multiplying power, and the preset discharge time is 10 seconds.
Step S2-2: and standing the lithium battery to be tested for 40 seconds, wherein the standing time is a first preset standing time.
Step S2-3: and carrying out constant current pulse charging on the lithium battery to be tested for the preset charging time by using a second preset multiplying power, wherein the second preset multiplying power is 1C multiplying power, and the preset charging time is 10 seconds.
Step S2-4: and standing the lithium battery to be tested for a second preset standing time which is 40 seconds.
Step S2-5: and completely discharging the lithium battery to be tested.
Fig. 2 is a schematic voltage response curve diagram of the graded-utilization-oriented retired lithium battery classification method in the embodiment of the present invention when the scene type is energy type; fig. 3 is a schematic voltage response curve diagram of a power-type retired lithium battery classification method for echelon utilization in the embodiment of the present invention.
Step S3: and establishing a voltage response value curve according to the voltage response value.
As shown in fig. 2, the voltage curve in the figure corresponds to 1 retired lithium battery with full capacity. In the present embodiment, the horizontal axis of the voltage response curve represents time in 1000S per scale unit, and the vertical axis represents voltage in 0.5V per scale unit.
As shown in fig. 3, the voltage response curves in the drawing correspond to one of each of the retired lithium batteries having 10 different charging capacities, and thus the number of the voltage response curves is 10. In the present embodiment, the horizontal axis of the voltage response curve represents time, 50S per scale, and the vertical axis represents voltage, 0.02V per scale. In this embodiment, for a retired lithium battery with an energy type scene, after the retired lithium battery is charged to 100% SOC (full capacity) for the first time, an HPPC experiment is performed for one time correspondingly, so as to obtain a voltage corresponding curve corresponding to 100% SOC, and then, after the retired lithium battery is charged to 90% SOC (i.e., the first decreased capacity), an HPPC experiment is performed for another time, so as to obtain a voltage response curve corresponding to 90% SOC, and the remaining 8 voltage response curves are obtained in sequence according to the method. In practical operation, HPPC experiments were performed after each charge, and 10 voltage response curves for each retired lithium battery with 10 different charge capacities were obtained over 10 cycles.
Step S4: and taking a plurality of predetermined graded-utilization-oriented retired lithium battery classification methods as a classification method set to be tested.
Step S5: and selecting a retired lithium battery classification method facing echelon utilization from the classification methods to be tested as a current test classification method.
Step S6: and classifying the lithium batteries to be tested according to the current experiment classification method to form m groups.
Step S7: obtaining a voltage response value root mean square error sum A corresponding to the current experiment classification method according to the voltage response curve;
in step S7, the number of the lithium batteries to be tested in the group is NiAnd (i-1, 2 … m).
The process of obtaining the root mean square error sum A of the voltage response values comprises the following substeps:
FIG. 4 is a schematic diagram of calculating Root Mean Square Error (RMSE) in an embodiment of the invention.
Step S7-1: obtaining the jth (j is 1,2,3, … N) in the ith subgroup (i is 1,2,3, …, m) according to the voltage response value curvei) The Root Mean Square Error (RMSE) of the lithium battery to be tested is expressed as follows:
as shown in FIG. 4, T is the total duration of the HPPC experiment, Vj,tThe voltage response value of the j th lithium battery to be tested in the ith group at the time t,and the reference voltage value is the minimum voltage response value of the lithium batteries to be detected in the ith group at the time t. In this example, the duration of each HPPC experiment is T1When the scene type of the echelon-utilization-oriented retired lithium battery classification method is energy type, repeating the total duration T of 10 HPPC experiments on the retired lithium battery>10T1When the scene type of the classification method for the retired lithium battery facing the echelon utilization is a power type, the HPPC experiment of the retired lithium battery is performed once, and the total duration time T is T1。
Step S7-2: the Root Mean Square Error (RMSE) of the m groups of lithium batteries to be tested is summed to obtain a root mean square error sum A,
the root mean square error and A are calculated as:
step S8: and removing the current experiment classification method from the classification method set to be tested, thereby forming a new classification method set to be tested.
Step S9: repeating the step S6 to the step S8 until the number of the ex-service lithium battery classification methods for echelon utilization in the experiment classification method set is 0, obtaining a plurality of different root mean square error sums A at the moment, and then entering the step S10;
step S10: and selecting the retired lithium battery classification method facing the echelon utilization corresponding to the minimum voltage response value root mean square error and A as the optimal retired lithium battery classification method facing the echelon utilization.
Effects and effects of the embodiments
According to the selection method of the method for classifying the retired lithium battery facing to the echelon utilization, firstly, the retired lithium battery is charged according to at least one preset electric quantity to obtain a lithium battery to be tested, then a hybrid power pulse capability characteristic experiment is carried out on the lithium battery to be tested to obtain a corresponding voltage response value, a voltage response curve is established according to the voltage response value, then the sum of root-mean-square errors of the voltage response values is respectively obtained for various retired lithium battery classification methods facing to the echelon utilization according to the voltage response curve, and finally, the retired lithium battery classification method facing to the echelon utilization, corresponding to the minimum voltage response value root-mean-square error, is selected as the optimal retired lithium battery classification method facing to the echelon utilization. Because the voltage response curve is obtained in the retired lithium battery with dynamically changed capacitance, and the root mean square error of the voltage response value represents the consistency of the voltage response value of the retired lithium battery with dynamically changed capacitance, the selection method of the retired lithium battery classification method for the echelon utilization in the embodiment can improve the accuracy and the rationality of the evaluation of the retired lithium battery classification method for the echelon utilization based on the complex dynamic working conditions of different capacitances of the retired lithium battery.
In the embodiment, when the scene type of the echelon utilization-oriented retired lithium battery classification method is an energy type, the types of the predetermined electric quantity are 10, and the number of the voltage response curves is 10, so that the embodiment can evaluate the consistency of the voltage response values of the retired lithium battery in the whole reuse time period when the scene type is the energy type, and thus the echelon utilization method of the retired lithium battery can be accurately and reasonably evaluated.
In the embodiment, when the scene type of the echelon utilization-oriented retired lithium battery classification method is a power type, the types of the preset electric quantity are 1, and the number of the voltage response curves is 1, so that the consistency of the voltage response values of the retired lithium battery in a short reuse time period can be evaluated when the scene type is the power type, and the echelon utilization method of the retired lithium battery can be accurately and reasonably evaluated.
The above-described embodiments are preferred embodiments of the present invention, and are not intended to limit the scope of the present invention, and various modifications and changes can be made by those skilled in the art without inventive work within the scope of the appended claims.
Claims (8)
1. A selection method of a graded-utilization-oriented retired lithium battery classification method is used for selecting an optimal graded-utilization-oriented retired lithium battery classification method from a plurality of preset graded-utilization-oriented retired lithium battery classification methods, and is characterized by comprising the following steps:
step S1: charging the retired lithium battery according to at least one preset electric quantity to obtain a lithium battery to be tested;
step S2: performing a hybrid power pulse capability characteristic (HPPC) experiment on the lithium battery to be tested, and respectively recording the voltage of the lithium battery to be tested in the experiment process of the hybrid power pulse capability characteristic according to a preset recording frequency so as to obtain a plurality of voltage response values corresponding to the lithium battery to be tested;
step S3: establishing a voltage response value curve according to the voltage response value;
step S4: taking the plurality of predetermined graded-utilization-oriented retired lithium battery classification methods as a classification method set to be tested;
step S5: selecting one retired lithium battery classification method facing echelon utilization from the classification method set to be tested as a current test classification method;
step S6: classifying the lithium battery to be tested according to the current experiment classification method to form m groups;
step S7: obtaining a voltage response value root mean square error sum A corresponding to the current experiment classification method according to the voltage response curve;
step S8: removing the current experiment classification method from the classification method set to be experimented so as to form a new classification method set to be experimented,
step S9: repeating the step S6 to the step S8 until the number of the ex-service lithium battery classification methods facing the echelon utilization in the experiment classification method set is 0, and then entering the step S10;
step S10: and selecting the retired lithium battery classification method facing the echelon utilization corresponding to the minimum voltage response value root mean square error and A as the optimal retired lithium battery classification method facing the echelon utilization.
2. The method of claim 1 for selecting a method for classifying a retired lithium battery for face-to-face echelon utilization, comprising:
wherein the scene type of the echelon utilization-oriented retired lithium battery classification method is an energy type,
the types of the predetermined electric quantity in step S1 are 10 types, including the full charge capacity when the retired lithium battery is fully charged and 9 types of decreasing electric capacities respectively obtained by sequentially decreasing the full charge capacity 9 times with 10% of the full charge capacity as a decreasing amount,
the number of the voltage response curves is 10, which respectively correspond to the full charge capacity and the 9 decreasing battery capacities.
3. The method of claim 1 for selecting a method for classifying a retired lithium battery for face-to-face echelon utilization, comprising:
wherein the scene type of the echelon utilization-oriented retired lithium battery classification method is a power type,
the predetermined amount of electricity in step S1 is 1 type, which is the same as the full charge capacity of the retired lithium battery when it is fully charged,
the number of the voltage corresponding curves is 1, corresponding to the full charge capacity.
4. The method of claim 1 for selecting a method for classifying a retired lithium battery for face-to-face echelon utilization, comprising:
in step S7, the number of the lithium batteries to be tested in the group is Ni(i is 1,2 … m),
the process of obtaining the voltage response value root mean square error sum A comprises the following substeps:
step S7-1: obtaining the j (j) 1,2,3, … N in the i (i) th group (1, 2,3, …, m) of the groups according to the voltage response value curvei) The Root Mean Square Error (RMSE) of the lithium battery to be tested,
the Root Mean Square Error (RMSE) expression is:
t is the total duration of the hybrid power pulse capability characteristic experiment, Vj,tThe voltage response value of the jth lithium battery to be tested at the moment t of the ith grouping, namelyAnd the reference voltage value of the lithium battery to be tested in the ith grouping at the time t is the minimum voltage response value of the lithium battery to be tested in the ith grouping at the time t.
Step S7-2: summing Root Mean Square Errors (RMSE) of the m groups of lithium batteries to be tested to obtain a root mean square error sum A,
the calculation formula of the root mean square error and A is as follows:
5. the method of claim 1 for selecting a method for classifying a retired lithium battery for face-to-face echelon utilization, comprising:
in step S2, the predetermined recording frequency is 1 Hz.
6. The method of claim 1 for selecting a method for classifying a retired lithium battery for face-to-face echelon utilization, comprising:
in step S2, the hybrid pulse capability characteristic test includes the following sub-steps:
step S2-1: performing constant current pulse discharge of preset discharge time on the lithium battery to be tested at a first preset multiplying power;
step S2-2: standing the lithium battery to be tested for a first preset standing time;
step S2-3: carrying out constant current pulse charging on the lithium battery to be tested for a preset charging time at a second preset multiplying power;
step S2-4: standing the lithium battery to be tested for a second preset standing time;
step S2-5: and completely discharging the lithium battery to be tested.
7. The method of claim 6 for selecting the method of classifying a retired lithium battery for face-to-face echelon utilization, wherein:
wherein, in step S2-1, the first preset multiplying factor is 1C multiplying factor, the preset discharging time is 10 seconds,
in step S2-3, the second predetermined magnification is a 1C magnification, and the predetermined charging time is 10 seconds.
8. The method of claim 6 for selecting the method of classifying a retired lithium battery for face-to-face echelon utilization, wherein:
wherein, in the step S2-2, the first preset standing time is 40 seconds,
in step S2-4, the second predetermined resting time is 40 seconds.
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| Publication number | Priority date | Publication date | Assignee | Title |
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