extract
Extract selected battery features from parsed and segmented battery test data
Since R2024b
Description
returns the feature table featureTable
= extract(extractor
,bdp
)featureTable
by extracting battery features
from the parsed battery data in the batteryTestDataParser
object bdp
.
extractor
is a batteryTestFeatureExtractor
object that contains the option settings for which
features to extract.
When extractor
specifies options requiring differential analysis
(one or more of incremental capacity, differential voltage, and differential temperature),
extract
first calls computeDifferentialCurves
and then extracts features from the resulting
curves.
Examples
Create Battery Test Data Parser and Extract Features
Load the data cleanData10
, which contains cleaned battery data through the tenth test cycle. It is known that Cycle 0 contains incorrectly collected data. Display the first five lines.
This example data represents only a small portion of battery life, at the beginning of the cycling test.
load clean_bat_data cleanData10 head(cleanData10,5)
Data_Point DateTime Step_Index Cycle_Index Current Voltage Charge_Capacity Discharge_Capacity Charge_Energy Discharge_Energy dV/dt Internal_Resistance Temperature __________ ____________________ __________ ___________ _______ _______ _______________ __________________ _____________ ________________ ___________ ___________________ ___________ 1 13-May-2017 03:21:40 0 0 0 3.3018 0 0 0 0 -1.5259e-05 0.022012 30.457 2 13-May-2017 03:21:40 0 0 0 3.3018 0 0 0 0 -1.5259e-05 0.022012 30.457 3 13-May-2017 03:21:50 0 0 0 3.3018 0 0 0 0 -2.6703e-05 0.022012 30.445 4 13-May-2017 03:22:00 0 0 0 3.3018 0 0 0 0 -1.5259e-05 0.022012 30.501 5 13-May-2017 03:22:10 0 0 0 3.3018 0 0 0 0 -8.5831e-06 0.022012 30.501
The table includes current, voltage, and temperature measurements, as well as indices for step and cycle index. The table also includes other measurements, such as Internal_Resistance
.
Create Battery Test Data Parser
Create the batteryTestDataParser
object bdp
. Use dot notation to assign variable names in the table to properties. In this example, the battery cycle is temperature controlled to a roughly constant value, and can be excluded from the analysis. Therefore, do not set the TemperatureVariable
property name.
bdp = batteryTestDataParser(cleanData10); bdp.CurrentVariable = "Current"; bdp.VoltageVariable = "Voltage"; bdp.TimeVariable = "DateTime"; bdp.CycleIndexVariable = "Cycle_Index"; bdp.StepIndexVariable = "Step_Index"
bdp = BatteryTestDataParser with properties: CurrentVariable: "Current" VoltageVariable: "Voltage" TimeVariable: "DateTime" CycleIndexVariable: "Cycle_Index" StepIndexVariable: "Step_Index" TemperatureVariable: "" ExcludedCycles: [1x0 double] Tolerance: 5.0000e-05 NumInterpolatedPoints: 1000 WindowSize: 10 IsSegmented: 0 IsTemperatureAvailable: 0
bdp
contains the properties that you set, and ignores other table columns.
Exclude Known Erroneous Cycle Data
Exclude Cycle-0 data from processing by setting the ExcludedCycles
property to 0.
bdp.ExcludedCycles = 0;
Segment Data
Segment the data so that it can be analyzed by cycle and step.
bdpseg = segmentData(bdp); head(bdpseg,5)
Data_Point DateTime Step_Index Cycle_Index Current Voltage Charge_Capacity Discharge_Capacity Charge_Energy Discharge_Energy dV/dt Internal_Resistance Temperature CyclingModes CyclingPhases IsValid __________ ____________________ __________ ___________ _______ _______ _______________ __________________ _____________ ________________ ___________ ___________________ ___________ ____________ _____________ _______ 1 13-May-2017 03:21:40 0 0 0 3.3018 0 0 0 0 -1.5259e-05 0.022012 30.457 Undefined Undefined false 2 13-May-2017 03:21:40 0 0 0 3.3018 0 0 0 0 -1.5259e-05 0.022012 30.457 Undefined Undefined false 3 13-May-2017 03:21:50 0 0 0 3.3018 0 0 0 0 -2.6703e-05 0.022012 30.445 Undefined Undefined false 4 13-May-2017 03:22:00 0 0 0 3.3018 0 0 0 0 -1.5259e-05 0.022012 30.501 Undefined Undefined false 5 13-May-2017 03:22:10 0 0 0 3.3018 0 0 0 0 -8.5831e-06 0.022012 30.501 Undefined Undefined false
The software adds columns for Step_Index
, Cycle_Index
, and IsValid
. Because the data begins with Cycle 0 and you are excluding this cycle, IsValid
is set to false
for this data. The data table encapsulated by bdp
also contains these new columns.
Create Battery Test Feature Extractor
Create a batteryTestFeatureExtractor
object bft
.
bft = batteryTestFeatureExtractor()
bft = BatteryTestFeatureExtractor with properties: CyclingPhase: "Charge" Statistics: 1 CycleCumulative: 1 CC: 1 CV: 1 CCCV: 1 IC: 1 DV: 0 DT: 0
Using dot notation, specify that both charge and discharge cycles be used for features. Accept the default settings for the feature set selections.
bft.CyclingPhase = "Both";
Extract Features
Use extract
to extract the specified features into the feature table ft
.
ft = extract(bft,bdp);
Display the first five rows of ft
.
head(ft,5)
Cycle_Index Charge_cumulativeCapacity Charge_cumulativeEnergy Charge_duration Charge_startVoltage Charge_Voltage_max Charge_Voltage_min Charge_Voltage_mean Charge_Voltage_std Charge_Voltage_skewness Charge_Voltage_kurtosis Charge_Current_max Charge_Current_min Charge_Current_mean Charge_Current_std Charge_Current_skewness Charge_Current_kurtosis Charge_Step5_IC_peak Charge_Step5_IC_peakWidth Charge_Step5_IC_peakLocation Charge_Step5_IC_peakProminence Charge_Step5_IC_peaksArea Charge_Step5_IC_peakLeftSlope Charge_Step5_IC_peakRightSlope Charge_Step5_IC_area Charge_Step5_IC_max Charge_Step5_IC_min Charge_Step5_IC_mean Charge_Step5_IC_std Charge_Step5_IC_skewness Charge_Step5_IC_kurtosis Charge_Step5_CC_duration Charge_Step5_CC_currentMedian Charge_Step5_CC_slope Charge_Step5_CC_energy Charge_Step5_CC_skewness Charge_Step5_CC_kurtosis Charge_Step6_IC_peak Charge_Step6_IC_peakWidth Charge_Step6_IC_peakLocation Charge_Step6_IC_peakProminence Charge_Step6_IC_peaksArea Charge_Step6_IC_peakLeftSlope Charge_Step6_IC_peakRightSlope Charge_Step6_IC_area Charge_Step6_IC_max Charge_Step6_IC_min Charge_Step6_IC_mean Charge_Step6_IC_std Charge_Step6_IC_skewness Charge_Step6_IC_kurtosis Charge_Step6_CC_duration Charge_Step6_CC_currentMedian Charge_Step6_CC_energy Charge_Step6_CC_skewness Charge_Step6_CC_kurtosis Charge_Step9_IC_peak Charge_Step9_IC_peakWidth Charge_Step9_IC_peakLocation Charge_Step9_IC_peakProminence Charge_Step9_IC_peaksArea Charge_Step9_IC_peakLeftSlope Charge_Step9_IC_peakRightSlope Charge_Step9_IC_area Charge_Step9_IC_max Charge_Step9_IC_min Charge_Step9_IC_mean Charge_Step9_IC_std Charge_Step9_IC_skewness Charge_Step9_IC_kurtosis Charge_Step9_CC_duration Charge_Step9_CC_currentMedian Charge_Step9_CC_energy Charge_Step9_CC_skewness Charge_Step9_CC_kurtosis Charge_Step9_CV_duration Charge_Step9_CV_voltageMedian Charge_Step9_CV_slope Charge_Step9_CV_energy Charge_Step9_CV_skewness Charge_Step9_CV_kurtosis Charge_Step9_CCCV_energyRatio Charge_Step9_CCCV_energyDifference Charge_Step5_CC_tInv Discharge_cumulativeCapacity Discharge_cumulativeEnergy Discharge_duration Discharge_startVoltage Discharge_Voltage_max Discharge_Voltage_min Discharge_Voltage_mean Discharge_Voltage_std Discharge_Voltage_skewness Discharge_Voltage_kurtosis Discharge_Current_max Discharge_Current_min Discharge_Current_mean Discharge_Current_std Discharge_Current_skewness Discharge_Current_kurtosis Discharge_Step10_IC_peak Discharge_Step10_IC_peakWidth Discharge_Step10_IC_peakLocation Discharge_Step10_IC_peakProminence Discharge_Step10_IC_peaksArea Discharge_Step10_IC_peakLeftSlope Discharge_Step10_IC_peakRightSlope Discharge_Step10_IC_area Discharge_Step10_IC_max Discharge_Step10_IC_min Discharge_Step10_IC_mean Discharge_Step10_IC_std Discharge_Step10_IC_skewness Discharge_Step10_IC_kurtosis Discharge_Step10_CC_duration Discharge_Step10_CC_currentMedian Discharge_Step10_CC_slope Discharge_Step10_CC_energy Discharge_Step10_CC_skewness Discharge_Step10_CC_kurtosis Discharge_Step10_CC_tInv Discharge_Step10_CV_duration Discharge_Step10_CV_voltageMedian Discharge_Step10_CV_slope Discharge_Step10_CV_energy Discharge_Step10_CV_skewness Discharge_Step10_CV_kurtosis Discharge_Step10_CCCV_energyRatio Discharge_Step10_CCCV_energyDifference ___________ _________________________ _______________________ _______________ ___________________ __________________ __________________ ___________________ __________________ _______________________ _______________________ __________________ __________________ ___________________ __________________ _______________________ _______________________ ____________________ _________________________ ____________________________ ______________________________ _________________________ _____________________________ ______________________________ ____________________ ___________________ ___________________ ____________________ ___________________ ________________________ ________________________ ________________________ _____________________________ _____________________ ______________________ ________________________ ________________________ ____________________ _________________________ ____________________________ ______________________________ _________________________ _____________________________ ______________________________ ____________________ ___________________ ___________________ ____________________ ___________________ ________________________ ________________________ ________________________ _____________________________ ______________________ ________________________ ________________________ ____________________ _________________________ ____________________________ ______________________________ _________________________ _____________________________ ______________________________ ____________________ ___________________ ___________________ ____________________ ___________________ ________________________ ________________________ ________________________ _____________________________ ______________________ ________________________ ________________________ ________________________ _____________________________ _____________________ ______________________ ________________________ ________________________ _____________________________ __________________________________ ____________________ ____________________________ __________________________ __________________ ______________________ _____________________ _____________________ ______________________ _____________________ __________________________ __________________________ _____________________ _____________________ ______________________ _____________________ __________________________ __________________________ ________________________ _____________________________ ________________________________ __________________________________ _____________________________ _________________________________ __________________________________ ________________________ _______________________ _______________________ ________________________ _______________________ ____________________________ ____________________________ ____________________________ _________________________________ _________________________ __________________________ ____________________________ ____________________________ ________________________ ____________________________ _________________________________ _________________________ __________________________ ____________________________ ____________________________ _________________________________ ______________________________________ 1 1.0912 3.8091 1837.2 3.2889 3.6004 3.2889 3.5127 0.076284 -0.26567 2.0059 6.6013 0.064569 2.1754 2.3511 0.94798 2.3503 5.4806 0.028983 3.53 0.48663 0.15111 14.045 -17.479 0.47486 5.4806 0.20359 1.8284 1.8936 0.91305 2.2617 260.48 6.5999 NaN 1.6668 -1.1606 3.3064 6.0466 0.0015526 3.4968 0.031648 NaN NaN NaN 0.28551 37.411 3.3344 6.5201 5.7697 4.0684 19.896 289.56 3.96 1.1145 0.23118 1.8814 2.7514 0.041081 3.4178 2.2495 0.093172 86.649 -40.036 0.17691 2.7514 0.14988 0.83718 0.82946 1.1874 2.968 579.99 1.1 0.61058 1.401 4.4162 610.01 3.6002 -0.00073938 0.11516 1.8343 5.892 5.3022 0.49542 NaN 1.0858 3.3053 1186.2 3.3297 3.3297 1.9996 2.7518 0.46306 -0.69494 1.7957 -0.021996 -4.4004 -3.6203 1.6577 1.6544 3.741 6.7975 0.11988 3.1491 6.6874 0.53131 40.006 -124.84 1.0703 6.7975 -0.014311 0.80703 1.5432 2.3837 7.7647 875.8 -4.4 0.00030465 3.2745 -1.363 3.6784 760.95 300.43 1.9999 0.00093293 0.016935 -2.3131 9.8519 193.36 3.2575 2 1.1011 3.8354 1846.4 3.1837 3.6004 3.1837 3.5029 0.088036 -0.73117 3.6177 6.6015 0.05476 2.2175 2.3674 0.90434 2.2705 5.5806 0.0057399 3.5324 0.27875 0.022226 55.087 -31.76 0.44216 5.5806 0.13184 1.2509 1.678 1.5393 3.9561 242.78 6.6003 0.013906 1.5463 -0.96454 2.5803 6.2122 0.0023982 3.495 0.063827 0.010988 25.474 -9.7076 0.28528 37.379 3.5681 6.7183 5.8188 4.0179 19.36 289.6 3.96 1.1142 0.3299 1.9009 2.8966 0.041309 3.4156 2.3838 0.097776 101.48 -38.962 0.18304 2.8966 0.14602 0.86161 0.88746 1.2188 3.0379 600 1.1 0.6313 1.5064 4.9068 590 3.6002 -0.00069836 0.10311 2.1156 7.6634 6.1227 0.52819 0.7253 1.0876 3.3111 1191.7 3.3199 3.3199 1.9996 2.7293 0.46952 -0.62182 1.679 -0.022033 -4.4006 -3.5379 1.7243 1.4985 3.249 6.7984 0.11951 3.1457 6.6764 0.54736 38.573 -127.79 1.0721 6.7984 -0.019335 0.81345 1.5523 2.374 7.7118 877.32 -4.4 0.00030269 3.2804 -1.3602 3.6885 761.05 304.33 1.9999 0.00088585 0.016846 -2.3857 10.332 194.73 3.2635 3 1.1268 3.9237 1851.9 3.0906 3.6004 3.0906 3.4951 0.099424 -1.171 5.1736 6.6013 0.051631 2.3933 2.4829 0.78503 1.9785 5.543 0.023424 3.5319 0.46554 0.11941 7.7787 -24.902 0.52472 5.543 0.091083 1.1408 1.7 1.6561 4.2318 287.82 6.5999 0.016691 1.8347 -1.0243 2.7645 6.2728 0.0015434 3.4902 0.020799 NaN NaN NaN 0.28518 37.805 3.6316 6.7985 5.8824 4.0208 19.379 289.61 3.96 1.1141 0.3022 1.9029 3.0041 0.040571 3.4171 2.4841 0.10175 88.355 -51.569 0.18597 3.0041 0.13535 0.87385 0.90858 1.2478 3.1188 609.99 1.1 0.64142 1.6531 5.6046 580 3.6002 -0.00073569 0.097314 1.6633 5.2229 6.5913 0.54411 6.0581 1.0972 3.3433 1198.5 3.4424 3.4424 1.9996 2.7497 0.47889 -0.6258 1.7303 -0.022201 -4.4005 -3.5499 1.7126 1.5172 3.3065 6.7829 0.12166 3.1522 6.7482 0.53042 40.973 -120.47 1.0818 6.7829 -0.021383 0.75001 1.5018 2.5311 8.5461 885.19 -4.4 0.00030422 3.3127 -1.3307 3.7906 760.88 303.26 1.9999 0.00094755 0.016758 -2.4133 9.9184 197.68 3.296 4 1.1285 3.9265 1854 3.0425 3.6004 3.0425 3.4886 0.10833 -1.4374 6.0532 6.6018 0.053802 2.4518 2.4836 0.73677 1.9175 5.5386 0.018892 3.5263 0.40434 0.098235 22.395 -12.47 0.51326 5.5386 0.077485 1.0178 1.6221 1.8529 4.987 281.47 6.6 0.017771 1.7912 -0.8937 2.4507 6.2692 0.0034412 3.4926 0.077164 0.011037 6.021 -29.907 0.28448 37.957 3.8414 6.8738 5.9451 3.9968 19.115 289.63 3.96 1.114 0.43977 1.9856 3.0445 0.040016 3.4159 2.5082 0.099078 94.507 -46.675 0.1861 3.0445 0.13527 0.88531 0.92738 1.2342 3.0851 610 1.1 0.64157 1.5256 4.9396 575.01 3.6002 -0.00071665 0.094806 1.8886 6.4618 6.7672 0.54677 8.4167 1.097 3.3423 1197.7 3.4182 3.4182 1.9996 2.735 0.481 -0.57359 1.6517 -0.022873 -4.4004 -3.5176 1.739 1.4618 3.1404 6.7829 0.121 3.1502 6.7368 0.53385 41.007 -125.91 1.0815 6.7829 -0.0073165 0.76354 1.5115 2.4976 8.3636 884.95 -4.4 0.00029715 3.3115 -1.2773 3.5595 765.91 302.74 2 0.00085562 0.016897 -2.5036 11.241 195.99 3.2946 5 1.1089 3.8666 1840.9 3.2517 3.6004 3.2517 3.5057 0.080206 -0.28465 2.2471 6.6012 0.054041 2.2484 2.3956 0.88864 2.2173 5.5227 0.023587 3.5334 0.42688 0.11951 3.4916 -35.718 0.50984 5.5227 0.17263 1.6987 1.9009 1.0187 2.4386 279.64 6.6 NaN 1.7887 -1.0714 3.0945 6.347 0.0021218 3.4908 0.04628 0.011198 16.809 -20.958 0.28503 37.672 3.6557 6.8669 5.902 3.9845 19.021 289.6 3.96 1.1139 0.31689 1.8507 3.0711 0.039906 3.4177 2.5572 0.10124 74.786 -56.712 0.18762 3.0711 0.14183 0.87892 0.93035 1.2626 3.1556 615 1.1 0.64671 1.6549 5.3183 575.01 3.6002 -0.00070527 0.09545 2.0023 7.0948 6.7754 0.55126 NaN 1.0899 3.3189 1191.5 3.319 3.319 1.9957 2.7191 0.47534 -0.57212 1.6031 -0.022711 -4.4004 -3.5032 1.7484 1.4358 3.0653 6.7769 0.12188 3.1521 6.6506 0.5366 40.214 -122.29 1.0744 6.7769 -0.013659 0.81197 1.5549 2.3806 7.7339 879.13 -4.4 0.00030022 3.2881 -1.3286 3.5449 760.85 302.39 1.9999 0.00089706 0.017049 -2.309 9.7528 192.86 3.271
The feature table starts at Cycle 1.
Plot the charge voltage kurtosis.
plot(ft.Cycle_Index,ft.Charge_Voltage_kurtosis)
title("Charge Voltage Kurtosis by Cycle")
Input Arguments
extractor
— Feature extraction options
batteryTestFeatureExtractor
object
Feature extraction options, specified as a batteryTestFeatureExtractor
object. The options are specified by the
properties in extractor
.
bdp
— Battery test data
batteryTestDataOarser
object
Segmented and parsed battery test data, specified as a batteryTestDataParser
object.
Output Arguments
featureTable
— Battery feature table
table
Feature table, returned as a table. The feature table contains the features
specified in extractor
. For more information about the features
that you can extract, see the Properties section in batteryTestFeatureExtractor
.
Version History
Introduced in R2024b
MATLAB Command
You clicked a link that corresponds to this MATLAB command:
Run the command by entering it in the MATLAB Command Window. Web browsers do not support MATLAB commands.
Select a Web Site
Choose a web site to get translated content where available and see local events and offers. Based on your location, we recommend that you select: .
You can also select a web site from the following list
How to Get Best Site Performance
Select the China site (in Chinese or English) for best site performance. Other MathWorks country sites are not optimized for visits from your location.
Americas
- América Latina (Español)
- Canada (English)
- United States (English)
Europe
- Belgium (English)
- Denmark (English)
- Deutschland (Deutsch)
- España (Español)
- Finland (English)
- France (Français)
- Ireland (English)
- Italia (Italiano)
- Luxembourg (English)
- Netherlands (English)
- Norway (English)
- Österreich (Deutsch)
- Portugal (English)
- Sweden (English)
- Switzerland
- United Kingdom (English)
Asia Pacific
- Australia (English)
- India (English)
- New Zealand (English)
- 中国
- 日本Japanese (日本語)
- 한국Korean (한국어)