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CALCE Dataset

Model trained on real battery data with 2,864 samples

  1. SOH prediction accuracy: 72.5%
  2. RUL prediction accuracy: 61.3%
  3. SOH prediction - MSE: 0.075623, R²: 0.295865
  4. RUL prediction - MSE: 0.149790, R²: 0.114397
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Michigan Expansion Dataset

  1. SOH PREDICTION ACCURACY: 91.16%

  2. RUL PREDICTION ACCURACY: 97.23%

  3. SOH PREDICTION METRICS:

    • MSE (Mean Squared Error): 0.001885
    • RMSE (Root Mean Squared Error): 0.043418
    • MAE (Mean Absolute Error): 0.027306
    • R² Score: 0.911554

  4. RUL PREDICTION METRICS:

    • MSE (Mean Squared Error): 0.004800
    • RMSE (Root Mean Squared Error): 0.069279
    • MAE (Mean Absolute Error): 0.040548
    • R² Score: 0.972266
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UL-Purdue Dataset

  1. SOH PREDICTION ACCURACY: 49.89%

  2. RUL PREDICTION ACCURACY: 93.47%

  3. SOH PREDICTION METRICS:

    • MSE (Mean Squared Error): 0.003615
    • RMSE (Root Mean Squared Error): 0.060126
    • MAE (Mean Absolute Error): 0.039208
    • R² Score: 0.498933

  4. RUL PREDICTION METRICS:

    • MSE (Mean Squared Error): 0.009021
    • RMSE (Root Mean Squared Error): 0.094976
    • MAE (Mean Absolute Error): 0.058539
    • R² Score: 0.934655
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Michigan Formation Dataset

  1. SOH PREDICTION ACCURACY: 98.09%

  2. RUL PREDICTION ACCURACY: 98.64%

  3. SOH PREDICTION METRICS:

    • MSE (Mean Squared Error): 0.001013
    • RMSE (Root Mean Squared Error): 0.031823
    • MAE (Mean Absolute Error): 0.023192
    • R² Score: 0.980927

  4. RUL PREDICTION METRICS:

    • MSE (Mean Squared Error): 0.002869
    • RMSE (Root Mean Squared Error): 0.053566
    • MAE (Mean Absolute Error): 0.027493
    • R² Score: 0.986409
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SNL NMC Dataset

  1. SOH PREDICTION ACCURACY: 94.34%

  2. RUL PREDICTION ACCURACY: 69.98%

  3. SOH PREDICTION METRICS:

    • MSE (Mean Squared Error): 0.003936
    • RMSE (Root Mean Squared Error): 0.062741
    • MAE (Mean Absolute Error): 0.035795
    • R² Score: 0.943445

  4. RUL PREDICTION METRICS:

    • MSE (Mean Squared Error): 0.038826
    • RMSE (Root Mean Squared Error): 0.197043
    • MAE (Mean Absolute Error): 0.140099
    • R² Score: 0.699814
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SNL NCA Dataset

  1. SOH PREDICTION ACCURACY: 81.34%

  2. RUL PREDICTION ACCURACY: 90.57%

  3. SOH PREDICTION METRICS:

  • MSE (Mean Squared Error): 0.005186
  • RMSE (Root Mean Squared Error): 0.072015
  • MAE (Mean Absolute Error): 0.034561
  • R² Score: 0.813377
  1. RUL PREDICTION METRICS:
  • MSE (Mean Squared Error): 0.010498
  • RMSE (Root Mean Squared Error): 0.102462
  • MAE (Mean Absolute Error): 0.062874
  • R² Score: 0.905731
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SNL LFP Dataset

  1. SOH PREDICTION ACCURACY: 95.89%

  2. RUL PREDICTION ACCURACY: 78.74%

  3. SOH PREDICTION METRICS:

    • MSE (Mean Squared Error): 0.002431
    • RMSE (Root Mean Squared Error): 0.049307
    • MAE (Mean Absolute Error): 0.031610
    • R² Score: 0.958887

  4. RUL PREDICTION METRICS:

    • MSE (Mean Squared Error): 0.021322
    • RMSE (Root Mean Squared Error): 0.146022
    • MAE (Mean Absolute Error): 0.087208
    • R² Score: 0.787400
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HNEI Dataset

  1. SOH PREDICTION ACCURACY: 94.09%

  2. RUL PREDICTION ACCURACY: 98.88%

  3. SOH PREDICTION METRICS:

    • MSE (Mean Squared Error): 0.001967
    • RMSE (Root Mean Squared Error): 0.044351
    • MAE (Mean Absolute Error): 0.025927
    • R² Score: 0.940950

  4. RUL PREDICTION METRICS:

    • MSE (Mean Squared Error): 0.001940
    • RMSE (Root Mean Squared Error): 0.044044
    • MAE (Mean Absolute Error): 0.026057
    • R² Score: 0.988828
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