extract
説明
featureTable = extract(extractor,bdp)batteryTestDataParser オブジェクト bdp にある解析済みバッテリー データからバッテリーの特徴を抽出することで、特徴テーブル featureTable を返します。extractor は、どの特徴を抽出するかに関するオプション設定が含まれる batteryTestFeatureExtractor オブジェクトです。
extractor が差分解析 (増分容量、差動電圧、差温の 1 つ以上) を必要とするオプションを指定している場合、extract は最初に computeDifferentialCurves を呼び出し、その後結果の曲線から特徴を抽出します。
例
データ cleanData10 を読み込みます。これには、10 回目のテスト サイクルを通じてクリーニングされたバッテリー データが含まれます。Cycle 0 には誤って収集されたデータが含まれていることがわかっています。最初の 5 行を表示します。
このサンプル データは、サイクル テスト開始時のバッテリー寿命のごく一部を示しています。
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
この table には、電流、電圧、温度の測定値の他に、ステップとサイクルのインデックスが含まれています。また、この table には Internal_Resistance など、その他の測定値も含まれています。
バッテリー テスト データ パーサーの作成
batteryTestDataParser オブジェクト bdp を作成します。ドット表記を使用して、table 内の変数名をプロパティに割り当てます。この例では、バッテリー サイクルの温度がおよそ一定の値に制御されているため、解析対象から除外することができます。したがって、TemperatureVariable プロパティ名を設定しないでください。
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: [1×0 double]
Tolerance: 5.0000e-05
NumInterpolatedPoints: 1000
WindowSize: 10
IsSegmented: 0
IsTemperatureAvailable: 0
bdp には設定したプロパティが含まれ、table のその他の列は無視されます。
既知のエラー サイクル データの除外
ExcludedCycles プロパティを 0 に設定して、Cycle-0 のデータを処理対象から除外します。
bdp.ExcludedCycles = 0;
データのセグメント化
データをセグメント化し、サイクルやステップごとに解析できるようにします。
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
ソフトウェアによって、Step_Index、Cycle_Index、IsValid の列が追加されます。データは Cycle 0 から開始しますが、このサイクルを除外するため、このデータでは IsValid が false に設定されています。bdp でカプセル化されたデータ table にも、これらの新しい列が含まれます。
バッテリー テストの特徴抽出器の作成
batteryTestFeatureExtractor オブジェクト bft を作成します。
bft = batteryTestFeatureExtractor()
bft =
BatteryTestFeatureExtractor with properties:
CyclingPhase: "Charge"
Statistics: 1
CycleCumulative: 1
CC: 1
CV: 1
CCCV: 1
IC: 1
DV: 0
DT: 0
ドット表記を使用して、充電と放電両方のサイクルを特徴に使用することを指定します。特徴セットの選択は、既定の設定をそのまま使用します。
bft.CyclingPhase = "Both";特徴の抽出
extract を使用して、指定した特徴を特徴テーブル ft に抽出します。
ft = extract(bft,bdp);
ft の最初の 5 行を表示します。
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
特徴テーブルは Cycle 1 から開始します。
充電電圧の尖度をプロットします。
plot(ft.Cycle_Index,ft.Charge_Voltage_kurtosis)
title("Charge Voltage Kurtosis by Cycle")
入力引数
出力引数
バージョン履歴
R2024b で導入
