0zhangsan0 / Digital-Vehicle-CompetitionLinks
2023年创新组赛题一:基于数据驱动的动力电池健康状态评估与剩余寿命预测
☆25Updated last year
Alternatives and similar repositories for Digital-Vehicle-Competition
Users that are interested in Digital-Vehicle-Competition are comparing it to the libraries listed below
Sorting:
- 使用改进的GAN去生成数据,并使用生成的数据去训练LSTM网络,从而提高预测电池SOH的准确率☆72Updated 3 years ago
- ☆67Updated 6 years ago
- 这是我关于使用深度学习方法去评估锂电池健康状态(SOH)的一点点工作,对象是NASA的锂电池容量衰退数据集,分析了加入锂电池运行的可监测数据对SOH的影响☆62Updated 9 months ago
- 锂电池数据集 CALCE☆226Updated last year
- Analysis for NASA data sets☆194Updated last year
- Attention-based CNN-BiLSTM for SOH prediction of lithium-ion batteries☆145Updated 2 years ago
- Implementation of a model that predicts the SoH of batteries using the NASA Battery Dataset☆128Updated 6 years ago
- ☆23Updated 6 years ago
- Transformer Network for Remaining Useful Life Prediction of Lithium-Ion Batteries☆462Updated last year
- The project focused on "Battery Remaining Useful Life (RUL) Prediction using a Data-Driven Approach with a Hybrid Deep Model combining Co…☆102Updated last year
- TFDSUNet: Time-Frequency Dual-Stream Uncertainty Network for Battery SOH/SOC Prediction☆52Updated 2 years ago
- A code library for reading and preprocessing public battery dataset☆129Updated 2 months ago
- Battery data processing.☆28Updated 2 years ago
- This paper summarizes a deep learning-based approach with an LSTM trained on the widely used Oxford battery degradation dataset and the h…☆69Updated last year
- An Informer-LSTM model for State-of-Charge Estimation of Lithium-Ion Batteries☆138Updated 2 years ago
- RUL Prognostics Method Based on Real Time Updating of LSTM Parameters☆23Updated 7 years ago
- MambaLithium: Selective state space model for remaining-useful-life, state-of-health, and state-of-charge estimation of lithium-ion batte…☆126Updated last year
- Code for "Machine learning pipeline for battery state-of-health estimation"☆76Updated 4 years ago
- ☆48Updated 2 years ago
- Remaining Useful Life (RUL) estimation of Lithium-ion batteries using deep LSTMs☆195Updated 2 years ago
- Code for paper: Voltage relaxation-based state-of-health estimation of lithium-ion batteries using convolutional neural networks and tran…☆31Updated 2 years ago
- ☆50Updated 4 years ago
- A code library and benchmark study on SOH estimation of lithium-ion battery☆169Updated 2 years ago
- This is the code for battery RUL early prediction☆34Updated 4 years ago
- Repository for the paper "Statistical learning for accurate and interpretable battery lifetime prediction"☆54Updated 2 years ago
- Comparison of various transfer learning models with the hybridization of an FCNN for battery RUL prediction☆47Updated 2 years ago
- ☆30Updated 4 years ago
- This research provides a prognostic framework for off-line SOH estimation of Li-ion battery. With a CNN-Transformer architecture, this pr…☆110Updated 2 years ago
- ☆25Updated 6 years ago
- Code for paper "An end-to-end neural network framework for SOH estimation and RUL prediction of lithium battery"☆123Updated 4 years ago