A data-driven probabilistic approach predicts the hysteresis factor for silicon-graphite anode batteries in electric vehicles, with tests for generalization across vehicle models.
A fully automated methodol- ogy for the selection and extraction of energy-relevant features for the energy consumption of battery electric vehicles
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Probabilistic Hysteresis Factor Prediction for Electric Vehicle Batteries with Graphite Anodes Containing Silicon
A data-driven probabilistic approach predicts the hysteresis factor for silicon-graphite anode batteries in electric vehicles, with tests for generalization across vehicle models.