BatteryPredict_Code

The BatteryPredict_Code is developed by Yixin Yang to predict the lithium-ion battery life based on machine learning for different applications (battery life early prediction and RUL prediction). This document will briefly introduce how to use this code. Specific algorithm principles, please refer to the paper [1]. [1] A machine-learning prediction method of lithium-ion battery life based on charge process for different applicationsBatteryPredict_Code 由杨一心开发，旨在基于机器学习技术针对不同应用场景预测锂离子电池寿命，涵盖电池寿命早期预测与剩余使用寿命（Remaining Useful Life, RUL）预测。本文将简要介绍该代码的使用方法，具体算法原理请参阅文献[1]。[1] 一种面向不同应用场景、基于充电过程的锂离子电池寿命机器学习预测方法

搜集汇总

背景与挑战

背景概述

BatteryPredict_Code是一个基于机器学习的锂离子电池寿命预测代码库，由Yixin Yang开发，适用于电池寿命早期预测和剩余使用寿命（RUL）预测等不同应用场景，具体算法原理可参考相关论文。