standing-o/soh_estimation_of_lithium-ion_battery

State of health (SOH) prediction for Lithium-ion batteries using regression and LSTM

SoH estimation of Lithium-ion battery

• This project is designed to predict State of health (SoH) for identifying remaining useful life of Li-ion batteries.
• Linear Regression, LSTM
• Nov. 1, 2020 ~ Dec. 1, 2020

| Plan | Presentation |

Project for the Industrial Mathematics & Lab Course

• This repo is maintained by 오서영, 조지수, 이윤녕, 정유은

Process

1. Calculating and Visualizing SoH with 7 Li-ion battery datasets | Code

2. Eliminating outliers with quantile | Code

3. Linear Regression | Code

• Start at 50% Cycle

• Start at 70% Cycle

4. Long Short Term Memory | Code

• Start at 50% Cycle

• Start at 70% Cycle

Results

Dataset

[1] NASA Prognostic Center: Experiments on Li-ion Batteries, https://ti.arc.nasa.gov/tech/dash/groups/pcoe/prognostic-data-repository/ 

soh_estimation_of_lithium-ion_battery's Issues

70% LSTM model

how to use 70% LSTM model?

Can you add your mat to csv convertor?

I researched a lot but NASA battery dataset does not contains any SoH or actual capacity value, can you share any code about NASA matlab file to your csv format i need only this, because I want to train LSTM with all NASA battery dataset values.