Implementation of machine learning based real time range estimation method without destination knowledge for BEVs

Yavasoglu H. A., Tetik Y. E., Gokce K.

ENERGY, vol.172, pp.1179-1186, 2019 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 172
  • Publication Date: 2019
  • Doi Number: 10.1016/j.energy.2019.02.032
  • Journal Name: ENERGY
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.1179-1186
  • Keywords: Range estimation, Electric vehicle (EV), Decision tree, Machine learning, All-electric-range, Smart transportation, SYSTEM, EMISSIONS
  • Yıldız Technical University Affiliated: Yes

Abstract

In this work, an advanced range estimation method based on experimental test data including environmental factors and dynamic vehicle parameters with driver and road type predictions is proposed for electric vehicles.