Data driven estimation of electric vehicle battery state-of-charge informed by automotive simulations and multi-physics modeling
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Title
Data driven estimation of electric vehicle battery state-of-charge informed by automotive simulations and multi-physics modeling
Authors
Keywords
State-of-charge (SOC), Battery electric vehicles (BEVs), Automotive simulations, Electrochemical-thermal modeling, Machine learning (ML), Deep learning (DL)
Journal
JOURNAL OF POWER SOURCES
Volume 483, Issue -, Pages 229108
Publisher
Elsevier BV
Online
2020-11-19
DOI
10.1016/j.jpowsour.2020.229108
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