Work

EKF-Based Machine Learning Approach for Battery SOH Prediction in Commercial Vehicles Fleet

Year: 2026

Type: conference-paper

Source: SAE technical papers on CD-ROM/SAE technical paper series

DOI: 10.4271/2026-24-0002

Authors: Valerio D'Agostino, Luca Pulvirenti, Anirudh Shanker, Massimo Cardone, Giorgio Rizzoni, Francesco Vitale

Institutions: University of Naples Federico II, The Ohio State University

Topic: Advanced Battery Technologies Research

Subfield: Automotive Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Affordable and clean energy, Industry, innovation and infrastructure

Open Access status: closed

OpenAlex ID: W7214006869

FWCI:

Cites: 43

Cited by:

Related to: