GitHub - PlasticSorptionML/Physics-Guided-Deep-Learning-of-Li-ion-Batteries: Codes for article named Physics-Guided Deep Learning for Degradation Prognosis and Fast-Charging Strategy Design of Lithium-Ion Batteries

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Name		Name	Last commit message	Last commit date
Latest commit History 3 Commits
Dnn_Pinn_models		Dnn_Pinn_models
Extract_hf.ipynb		Extract_hf.ipynb
Gpr_estimation.ipynb		Gpr_estimation.ipynb
Gpr_estimator.ipynb		Gpr_estimator.ipynb
Gpr_estimator_pre.ipynb		Gpr_estimator_pre.ipynb
Gpr_estimator_thermal.ipynb		Gpr_estimator_thermal.ipynb
Gpr_estimator_thermal_2.ipynb		Gpr_estimator_thermal_2.ipynb
Gpr_estimator_thermal_2_loaded_prediction.ipynb		Gpr_estimator_thermal_2_loaded_prediction.ipynb
Pinn_Dnn_Batch1_extend.ipynb		Pinn_Dnn_Batch1_extend.ipynb
Pinn_Dnn_extended.ipynb		Pinn_Dnn_extended.ipynb
Pinn_Dnn_preCycles.ipynb		Pinn_Dnn_preCycles.ipynb
Pinn_Dnn_preCycles_gpr.ipynb		Pinn_Dnn_preCycles_gpr.ipynb
Plot_Basic_predictions.ipynb		Plot_Basic_predictions.ipynb
Plot_figure_PreCycles.ipynb		Plot_figure_PreCycles.ipynb
best_AVGT_MAXT_INTT_gpr_X_test.pkl		best_AVGT_MAXT_INTT_gpr_X_test.pkl
best_AVGT_MAXT_INTT_gpr_X_train.pkl		best_AVGT_MAXT_INTT_gpr_X_train.pkl
best_AVGT_MAXT_INTT_gpr_Y_test.pkl		best_AVGT_MAXT_INTT_gpr_Y_test.pkl
best_AVGT_MAXT_INTT_gpr_Y_train.pkl		best_AVGT_MAXT_INTT_gpr_Y_train.pkl
best_AVGT_MAXT_INTT_gpr_scaler_x.pkl		best_AVGT_MAXT_INTT_gpr_scaler_x.pkl
best_avg_T_artifact.pth		best_avg_T_artifact.pth
best_avg_T_gpr_model.pth		best_avg_T_gpr_model.pth
best_avg_T_gpr_scaler_y.pkl		best_avg_T_gpr_scaler_y.pkl
best_avg_T_state_dict.pth		best_avg_T_state_dict.pth
best_integrated_T_artifact.pth		best_integrated_T_artifact.pth
best_integrated_T_gpr_model.pth		best_integrated_T_gpr_model.pth
best_integrated_T_gpr_scaler_y.pkl		best_integrated_T_gpr_scaler_y.pkl
best_integrated_T_state_dict.pth		best_integrated_T_state_dict.pth
best_max_T_artifact.pth		best_max_T_artifact.pth
best_max_T_gpr_model.pth		best_max_T_gpr_model.pth
best_max_T_gpr_scaler_y.pkl		best_max_T_gpr_scaler_y.pkl
best_max_T_state_dict.pth		best_max_T_state_dict.pth
cnn_BiLSTM_MIT_precycle.ipynb		cnn_BiLSTM_MIT_precycle.ipynb
cnn_BiLSTM_mit.ipynb		cnn_BiLSTM_mit.ipynb
cnn_BiLSTM_mit_extend.ipynb		cnn_BiLSTM_mit_extend.ipynb
gp_thermal_results.pkl		gp_thermal_results.pkl
gp_thermal_scaler_x.pkl		gp_thermal_scaler_x.pkl
gpr_multi_target_bundle_scaler_y_thermal_2.pkl		gpr_multi_target_bundle_scaler_y_thermal_2.pkl
gpr_multi_target_bundle_scaler_y_thermal_3.pkl		gpr_multi_target_bundle_scaler_y_thermal_3.pkl
gpr_multi_target_bundle_thermal_2.pkl		gpr_multi_target_bundle_thermal_2.pkl
gpr_multi_target_bundle_thermal_3.pkl		gpr_multi_target_bundle_thermal_3.pkl
gpr_multi_thermal_bundle.pkl		gpr_multi_thermal_bundle.pkl
gpr_thermal_avg_T.pkl		gpr_thermal_avg_T.pkl
sensitive_analysis_data_assimilation.ipynb		sensitive_analysis_data_assimilation.ipynb