Weihan Li (2020): Dataset underlying the research of Digital twin for battery systems. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/uuid:7242c7ff-8bc3-4400-9cb9-4b47a049d4fa

Dataset

• Electrical and Electronic Engineering

Battery, Digital twin, State of charge, State of health

CC0

• EVERLASTING: Electric Vehicle Enhanced Range, Lifetime And Safety Through INGenious battery management.

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Weihan Li

This is the dataset for the journal paper "Digital twin for battery systems: cloud battery management system with online state-of-charge and state-of-health estimation"

• 2020-06-04 first online, published, posted

4TU.Centre for Research Data

media types: application/x-matlab-data, application/zip, text/plain

• Electric Vehicle Enhanced Range, Lifetime And Safety Through INGenious battery management (grant code 713771) [more info...] European Commission

RWTH Aachen University, Institute for Power Electronics and Electrical Drives (ISEA)