Work

Temperature-Dependent State of Charge Estimation for Electric Vehicles Based on a Machine Learning Approach

Year: 2024

Type: conference-paper

Source: IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE)

DOI: 10.1109/metroxraine62247.2024.10795955

Authors: Simone Barcellona, Loris Cannelli, Lorenzo Codecasa, Silvia Colnago, Loredana Cristaldi, Christian Laurano, Gabriele Maroni

Institutions: Politecnico di Milano, University of Applied Sciences and Arts of Southern Switzerland, Dalle Molle Institute for Artificial Intelligence Research, Università della Svizzera italiana, Ricerca sul Sistema Energetico (Italy)

Language: English

Topic: Advanced Battery Technologies Research

Subfield: Automotive Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Affordable and clean energy

Open Access status: closed

OpenAlex ID: W4405754983

FWCI: 1.119

Cites: 20

Cited by: 2

Related to: 10