battery-state-estimation

Python package to read, unify, and convert battery measurement data from arbitrary battery cyclers to Parquet files. Converted data can be automatically split into segments (CC, CV, etc.) or complex sequences (e.g., GITT). A wide range of analysis functions for battery research is provided (SOC, capacity, resistance, iOCV exctraction, and more).

Sandbox to develop, test and compare Kalman Fitler-enabled estimation techniques for state of charge of a sample lithium-ion battery, utilizing transient signals to predict state across points in time.

Sandbox to develop, test and compare neural network-enabled estimation techniques for state of charge of a sample lithium-ion battery using deep learning methodologies, utilizing transient signals to predict state across points in time.

Interactive PV + battery quote simulator for the Spanish market (Spanish UI)

Reducing electric vehicle range anxiety with machine learning models incorporating human behavior