1 Zingway/LSTM_Battery_RUL_Prediction

2 Zingway/Electric-vehicle-battery-range-prediction

Predict remaining useful lifetime of an electric car accurately to help drive owner satisfaction and future purchases. This solution comprises analyzing the vast quantity of telemetry data over time and building a Machine Learning model to predict the remaining useful life(RUL) of an electric vehicles EVs at each point in time of the operation of said vehicle. The customer is the largest automotive manufacturing company in India, by market share. The customer designs, builds, and delivers electric vehicles (EVs).

1 Zingway/CS-Notes

:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计、Java、Python、C++

2 shuhui/BatteryDatasetImplementation

Implementation of a model that predicts the SoH of batteries using the NASA Battery Dataset

1 shuhui/Nasa_Battery_Project

Prediction of battery state from charging/discharing profile

1 陈丁鸿/long-live-the-battery

Predicting total battery cycle life time with machine learning

1 shuhui/LSTM-Neural-Network-for-Time-Series-Prediction

Battery data processing.

1 DeerRIDER/sql-cheatsheet

常用T-SQL语句简表。

3 hensby/battery_RNN

电池——王恒超+张杰+范凯