articleTop 1% cited
Random forest regression for online capacity estimation of lithium-ion batteries
Applied Energy · 2018 · Vol. 232 · pp. 197–210
Yi Li✉(Vrije Universiteit Brussel)Changfu Zou✉(Chalmers University of Technology)Maitane Berecibar(Vrije Universiteit Brussel)Elise Nanini-Maury(Engie (Belgium))Jonathan Cheung-Wai Chan(Vrije Universiteit Brussel)Peter Van den Bossche(Vrije Universiteit Brussel)Joeri Van Mierlo(Vrije Universiteit Brussel)Noshin Omar(Vrije Universiteit Brussel)
Advanced Battery Technologies ResearchAdvancements in Battery MaterialsElectric Vehicles and InfrastructureBattery (electricity)Random forestComputer scienceBattery capacityMean squared errorFeature selectionRegressionVoltageMachine learningEngineering
Funding
- Flanders Make
- University of Cambridge
- Vrije Universiteit Brussel
Citations
691
FWCI
20.95
field-weighted impact
References
40
Percentile
100%
vs. same field & year
Citations per year
References
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