Comparing seven methods for state-of-health time series prediction for the lithium-ion battery packs of forklifts

no code implementations • 6 Jul 2021 • Matti Huotari, Shashank Arora, Avleen Malhi, Kary Främling

For this work, we are in possession of a unique data set of 45 lithium-ion battery packs with large variation in the data.

Time Series Time Series Prediction

A Dynamic Battery State-of-Health Forecasting Model for Electric Trucks: Li-Ion Batteries Case-Study

no code implementations • 30 Mar 2021 • Matti Huotari, Shashank Arora, Avleen Malhi, Kary Främling

On the other hand, BAG model results suggest that the developed supervised learning model using decision trees as base estimator yields better forecast accuracy in the presence of large variation in data for one battery.