A Physics-Informed Cold-Start Capability for xEV Charging Recommender System
Artikel i vetenskaplig tidskrift, 2024

An effortless charging experience will boost electric vehicle (xEV) adoption and assure driver satisfaction. Tailoring the charging experience incorporating smart algorithms introduces an exciting set of development opportunities. The goal of a smart charging algorithm is to lay down an accurate estimation of charging power needs for each user. As recommender systems (RS) are frequently used for tailored services and products, a novel RS based approach is developed in this study. Based on a collaborative-filtering principle, an RS agent will customize charging power transient prioritizing the physical principles governing the battery system, correlated to customer preferences. However, parallel to other RS applications, a collaborative-filtering for charging power transient design may suffer from the cold-start problem. This paper thus aims to prescribe a remedy for the cold-start problem encountered in RS specifically for charging power transient design. The RS is cold-started based on multiphysical modelling, combined with customer driving styles. It is shown that using 7 fundamental charging power transients would capture about 70% of a set of representative charging power transient population. Matching a unsupervised learning based clustering pipeline for 7 possible customer driving styles, an RS agent can prescribe 7 charging power transients automatically and cold-start the RS until more data is available.

physics-aware recommender system

fast charging

RS cold-start

heat transfer

thermomechatronic modelling

Electric vehicles

Författare

Raik Orbay

Volvo

Aditya Singh

Johannes Emilsson

Michele Becciani

Evelina Wikner

Victor Gustafson

Torbjörn Thiringer

Chalmers, Elektroteknik, Elkraftteknik

IEEE Open Journal of Vehicular Technology

26441330 (eISSN)

Vol. In Press

Ämneskategorier

Energiteknik

Signalbehandling

Annan elektroteknik och elektronik

DOI

10.1109/OJVT.2024.3469577

Mer information

Senast uppdaterat

2024-10-28