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
☆23Updated 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☆65Updated 3 years ago
- ☆63Updated 5 years ago
- Battery data processing.☆26Updated 2 years ago
- Battery Cycle Life Prediction. vloong 电池寿命预测精度排名第二方案.☆27Updated 2 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☆44Updated 3 months ago
- Attention-based CNN-BiLSTM for SOH prediction of lithium-ion batteries☆110Updated last year
- ☆25Updated 5 years ago
- Code for paper: Voltage relaxation-based state-of-health estimation of lithium-ion batteries using convolutional neural networks and tran…☆31Updated last year
- This is the code for battery RUL early prediction☆31Updated 3 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…☆64Updated last year
- Comparison of various transfer learning models with the hybridization of an FCNN for battery RUL prediction☆44Updated 2 years ago
- Lithium ion battery state of health estimation and remaining useful life prediction using ELM☆59Updated 3 years ago
- Code for paper "An end-to-end neural network framework for SOH estimation and RUL prediction of lithium battery"☆110Updated 3 years ago
- ☆24Updated 5 years ago
- The PyTorch implementation of Temperature Adaptive Transfer Network for Cross-Domain State of Charge Estimation of Li-ion Batteries at D…☆22Updated 2 years ago
- Prediction of battery lifetimes based on a Recurrent Neural Network (RNN) architecture. Data publicly available here: https://doi.org/10.…☆21Updated 5 years ago
- ☆43Updated 2 years ago
- 锂电池数据集 CALCE☆186Updated 11 months ago
- ☆9Updated 3 years ago
- 基于机器学习方法的锂离子电池剩余寿命预测☆25Updated 3 months ago
- The code is for the paper "Ma et al. A Two-Stage Integrated Method for Early Prediction of Remaining Useful Life of Lithium-ion Batteries…☆34Updated 2 years ago
- TFDSUNet: Time-Frequency Dual-Stream Uncertainty Network for Battery SOH/SOC Prediction☆46Updated last year
- Analysis for NASA data sets☆167Updated last year
- ☆10Updated 3 years ago
- This research provides a prognostic framework for off-line SOH estimation of Li-ion battery. With a CNN-Transformer architecture, this pr…☆92Updated last year
- Rul prediction of lithium-ion batteries based on MMMe model,Details can be found in the paper “A MLP-Mixer and Mixture of Expert Model fo…☆20Updated 2 years ago
- ☆21Updated last year
- ☆21Updated 4 years ago
- The project focused on "Battery Remaining Useful Life (RUL) Prediction using a Data-Driven Approach with a Hybrid Deep Model combining Co…☆75Updated last year
- A prediction model to estimate the state of health (SOH) of a lithium-ion battery (LiB) in real-time based on temperature, voltage, and c…☆28Updated 2 years ago