Work

SocHAP: A New Data Driven Explainable Prediction of Battery State of Charge

Year: 2023

Type: conference-paper

Source: Lecture notes in computer science

DOI: 10.1007/978-3-031-36030-5_37

Authors: Théo Heitzmann, Ahmed Samet, Tedjani Mesbahi, Cyrine Soufi, Inès Jorge, Romuald Boné

Institutions: Centre National de la Recherche Scientifique, Institut National des Sciences Appliquées de Strasbourg, Laboratoire des Sciences de l'Ingénieur, de l'Informatique et de l'Imagerie, Université de Strasbourg

Language: English

Topic: Battery Modeling and Management

Subfield: Automotive Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Affordable and clean energy

Open Access status: closed

OpenAlex ID: W4382408112

FWCI: 2.615

Cites: 18

Cited by: 11

Related to: 10