PINN4SOH

(★ 477)

A physics-informed neural network for battery SOH estimation

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최종 버전 다운로드 (.zip)

- - 1-1.csv
  - 1-2.csv
  - 1-3.csv
  - 1-4.csv
  - 1-5.csv
  - 1-6.csv
  - 1-7.csv
  - 1-8.csv
  - 10-1.csv
  - 10-2.csv
  - 10-3.csv
  - 10-4.csv
  - 10-5.csv
  - 10-6.csv
  - 10-7.csv
  - 10-8.csv
  - 2-2.csv
  - 2-3.csv
  - 2-4.csv
  - 2-5.csv
  - 2-6.csv
  - 2-7.csv
  - 2-8.csv
  - 3-1.csv
  - 3-2.csv
  - 3-3.csv
  - 3-4.csv
  - 3-5.csv
  - 3-6.csv
  - 3-7.csv
  - 3-8.csv
  - 4-1.csv
  - 4-2.csv
  - 4-3.csv
  - 4-4.csv
  - 4-5.csv
  - 4-6.csv
  - 4-7.csv
  - 4-8.csv
  - 5-1.csv
  - 5-2.csv
  - 5-3.csv
  - 5-4.csv
  - 5-5.csv
  - 5-6.csv
  - 5-7.csv
  - 6-1.csv
  - 6-2.csv
  - 6-3.csv
  - 6-4.csv
  - 6-5.csv
  - 6-6.csv
  - 6-8.csv
  - 7-1.csv
  - 7-2.csv
  - 7-3.csv
  - 7-4.csv
  - 7-5.csv
  - 7-6.csv
  - 7-7.csv
  - 7-8.csv
  - 8-1.csv
  - 8-2.csv
  - 8-3.csv
  - 8-4.csv
  - 8-5.csv
  - 8-6.csv
  - 8-7.csv
  - 8-8.csv
  - 9-1.csv
  - 9-2.csv
  - 9-3.csv
  - 9-4.csv
  - 9-5.csv
  - 9-6.csv
  - 9-7.csv
  - 9-8.csv
- - 2C_battery-1.csv
  - 2C_battery-2.csv
  - 2C_battery-3.csv
  - 2C_battery-4.csv
  - 2C_battery-5.csv
  - 2C_battery-6.csv
  - 2C_battery-7.csv
  - 2C_battery-8.csv
  - 3C_battery-1.csv
  - 3C_battery-10.csv
  - 3C_battery-11.csv
  - 3C_battery-12.csv
  - 3C_battery-13.csv
  - 3C_battery-14.csv
  - 3C_battery-15.csv
  - 3C_battery-2.csv
  - 3C_battery-3.csv
  - 3C_battery-4.csv
  - 3C_battery-5.csv
  - 3C_battery-6.csv
  - 3C_battery-7.csv
  - 3C_battery-8.csv
  - 3C_battery-9.csv
  - R2.5_battery-1.csv
  - R2.5_battery-2.csv
  - R2.5_battery-3.csv
  - R2.5_battery-4.csv
  - R2.5_battery-5.csv
  - R2.5_battery-6.csv
  - R2.5_battery-7.csv
  - R2.5_battery-8.csv
  - R3_battery-1.csv
  - R3_battery-2.csv
  - R3_battery-3.csv
  - R3_battery-4.csv
  - R3_battery-5.csv
  - R3_battery-6.csv
  - R3_battery-7.csv
  - R3_battery-8.csv
  - RW_battery-1.csv
  - RW_battery-2.csv
  - RW_battery-3.csv
  - RW_battery-4.csv
  - RW_battery-5.csv
  - RW_battery-6.csv
  - RW_battery-7.csv
  - RW_battery-8.csv
  - Sim_satellite_battery-1.csv
  - Sim_satellite_battery-2.csv
  - Sim_satellite_battery-3.csv
  - Sim_satellite_battery-4.csv
  - Sim_satellite_battery-5.csv
  - Sim_satellite_battery-6.csv
  - Sim_satellite_battery-7.csv
  - Sim_satellite_battery-8.csv
- __init__.py
- sample count.py
- - __init__.cpython-37.pyc
  - dataloader.cpython-37.pyc
- __init__.py
- dataloader.py
- - __init__.cpython-37.pyc
  - Compare_Models.cpython-37.pyc
  - Model.cpython-37.pyc
- __init__.py
- Compare_Models.py
- Model.py
- __init__.py
- color.py
- Figure 2.py
- Figure 4a.py
- Figure 4b.py
- Figure 5.py
- model_HUST.pth
- model_MIT.pth
- model_TJU_0.pth
- model_TJU_1.pth
- model_TJU_2.pth
- model_XJTU_0.pth
- model_XJTU_1.pth
- model_XJTU_2.pth
- model_XJTU_3.pth
- model_XJTU_4.pth
- model_XJTU_5.pth
- mu_var_pi_HUST.npz
- mu_var_pi_MIT.npz
- mu_var_pi_XJTU_0.npz
- mu_var_pi_XJTU_1.npz
- mu_var_pi_XJTU_2.npz
- mu_var_pi_XJTU_3.npz
- mu_var_pi_XJTU_4.npz
- mu_var_pi_XJTU_5.npz
- - CNN.zip
- - MLP.zip
- - HUST.zip
  - MIT results.zip
  - TJU results.zip
  - XJTU.zip
- - CNN-HUST-results.xlsx
  - CNN-MIT-results.xlsx
  - CNN-TJU-results.xlsx
  - CNN-XJTU-results.xlsx
  - MLP-HUST-results.xlsx
  - MLP-MIT-results.xlsx
  - MLP-TJU-results.xlsx
  - MLP-XJTU-results.xlsx
  - Ours-HUST-results.xlsx
  - Ours-MIT-results.xlsx
  - Ours-TJU-results.xlsx
  - Ours-XJTU-results.xlsx
- - Ours-FineTune-HUST-MIT.xlsx
  - Ours-FineTune-HUST-TJU.xlsx
  - Ours-FineTune-HUST-XJTU.xlsx
  - Ours-FineTune-MIT-HUST.xlsx
  - Ours-FineTune-MIT-TJU.xlsx
  - Ours-FineTune-MIT-XJTU.xlsx
  - Ours-FineTune-TJU-HUST.xlsx
  - Ours-FineTune-TJU-MIT.xlsx
  - Ours-FineTune-TJU-XJTU.xlsx
  - Ours-FineTune-XJTU-HUST.xlsx
  - Ours-FineTune-XJTU-MIT.xlsx
  - Ours-FineTune-XJTU-TJU.xlsx
- - CNN-HUST-results (small sample 1).xlsx
  - CNN-HUST-results (small sample 2).xlsx
  - CNN-HUST-results (small sample 3).xlsx
  - CNN-HUST-results (small sample 4).xlsx
  - CNN-XJTU-results (small sample 1).xlsx
  - CNN-XJTU-results (small sample 2).xlsx
  - CNN-XJTU-results (small sample 3).xlsx
  - CNN-XJTU-results (small sample 4).xlsx
  - MLP-HUST-results (small sample 1).xlsx
  - MLP-HUST-results (small sample 2).xlsx
  - MLP-HUST-results (small sample 3).xlsx
  - MLP-HUST-results (small sample 4).xlsx
  - MLP-XJTU-results (small sample 1).xlsx
  - MLP-XJTU-results (small sample 2).xlsx
  - MLP-XJTU-results (small sample 3).xlsx
  - MLP-XJTU-results (small sample 4).xlsx
  - Ours-HUST_results (small sample 1).xlsx
  - Ours-HUST_results (small sample 2).xlsx
  - Ours-HUST_results (small sample 3).xlsx
  - Ours-HUST_results (small sample 4).xlsx
  - Ours-XJTU_results (small sample 1).xlsx
  - Ours-XJTU_results (small sample 2).xlsx
  - Ours-XJTU_results (small sample 3).xlsx
  - Ours-XJTU_results (small sample 4).xlsx
- Comparision results.py
- FineTune results.py
- HUST results.py
- MIT results.py
- TJU results.py
- XJTU results.py
- - __init__.cpython-37.pyc
  - util.cpython-37.pyc
- __init__.py
- util.py
6 batches.png
count parameters.py
main_adaptation - fine-tuning.py
main_comparision.py
main_HUST.py
main_MIT.py
main_TJU.py
main_XJTU.py
README.md
xjtu battery dataset.png

# 설치 가이드

1. 코드 내려받기

git clone https://github.com/wang-fujin/PINN4SOH

깃허브에서 프로젝트 코드 전체를 내 컴퓨터로 내려받습니다.

cd PINN4SOH

방금 내려받은 프로젝트 폴더 안으로 이동합니다.

2. 공식 설치 스크립트

쉬움 추천

사전 준비물

Python 3 pip 명령어를 쓰려면 Python이 필요합니다.

pip install scienceplots # for beautiful plots

PyPI에 배포된 패키지를 바로 설치합니다. 소스 클론이 필요 없습니다.

✅ 설치 후 새 터미널을 열고, 프로그램의 버전 확인 명령(예: --version)으로 정상 설치됐는지 확인하세요.

이 레포의 README에 적힌 실제 명령어를 그대로 가져왔습니다.

PINN4SOH

파일 탐색기

# 설치 가이드

2. 공식 설치 스크립트

오늘의 추천 프로젝트

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PINN4SOH

파일 탐색기

# 설치 가이드

2. 공식 설치 스크립트

오늘의 추천 프로젝트

Was this content helpful?

Recent Feedback

Download README