0zhangsan0 / Digital-Vehicle-Competition
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
☆22Updated 10 months ago
Alternatives and similar repositories for Digital-Vehicle-Competition:
Users that are interested in Digital-Vehicle-Competition are comparing it to the libraries listed below
- 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☆61Updated 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
- ☆60Updated 5 years ago
- 基于机器学习方法的锂离子电池剩余寿命预测☆20Updated last month
- Battery data processing.☆26Updated 2 years ago
- 锂电池数据集 CALCE☆167Updated 9 months ago
- 新能源汽车应用场景，基于Python，通过神经网络训练锂离子电池使用相关数据，预测电池当前最大容量☆39Updated 5 years ago
- ☆24Updated 5 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☆37Updated 3 weeks ago
- Analysis for NASA data sets☆149Updated 10 months ago
- ☆10Updated 3 years ago
- Artificial Neural Network (ANN) has been used to estimate state-of-health (SOH) of lithium-ion batteriess. The batteries were stored at d…☆28Updated 5 years ago
- Lithium ion battery state of health estimation and remaining useful life prediction using ELM☆57Updated 3 years ago
- Code for "Machine learning pipeline for battery state-of-health estimation"☆67Updated 3 years ago
- ☆21Updated 5 years ago
- 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
- TFDSUNet: Time-Frequency Dual-Stream Uncertainty Network for Battery SOH/SOC Prediction☆45Updated last year
- Prediction of battery lifetimes based on a Recurrent Neural Network (RNN) architecture. Data publicly available here: https://doi.org/10.…☆21Updated 5 years ago
- ☆13Updated 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…☆63Updated 11 months ago
- Code for paper "An end-to-end neural network framework for SOH estimation and RUL prediction of lithium battery"☆109Updated 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…☆81Updated last year
- Implementation of a model that predicts the SoH of batteries using the NASA Battery Dataset☆111Updated 5 years ago
- Repository for the paper "Statistical learning for accurate and interpretable battery lifetime prediction"☆54Updated last year
- Attention-based CNN-BiLSTM for SOH prediction of lithium-ion batteries☆93Updated last year
- A code library and benchmark study on SOH estimation of lithium-ion battery☆106Updated last year
- 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☆29Updated 3 years ago
- Full Keras Transformer neural network (encoder and decoder) for SOC estimation (time-series prediction)☆16Updated 2 years ago
- Prediction of battery state from charging/discharing profile☆23Updated 6 years ago