Isilti, A. and Tate, J.E. orcid.org/0000-0003-1646-6852 (2026) Technical performance evolution of BEVs: range, consumption and weight projections to 2050. Transportation Research Part D: Transport and Environment, 152. 105172. ISSN: 1361-9209
Abstract
Battery Electric Vehicles (BEVs) are assuming a pivotal role in the road electrification, with continuous advancements in technology. This UK-focused study analyses the evolution of the technical parameters of BEVs between 2011 and 2024 and forecasts their development to 2050 for a range of scenarios (pessimistic, realistic and optimistic) focusing on range, energy consumption and vehicle weight. The research is underpinned by a data set of the technical specifications of 575 BEV models. The relationships between the parameters were revealed by machine learning (Random Forest and SHAP), with the forecast performed using the Prophet. The driving range of a typical C segment Sports Utility Vehicle (SUV) is forecast to increase by between 60 % and 180 %, vehicle weight and energy consumption varied between 1051–2000 kg and 267–286 Wh/mile, respectively, depending on the scenarios and underlying assumptions. The findings provide evidence-based insights for automotive technology planning and weight-based fiscal policy responses.
Metadata
| Item Type: | Article |
|---|---|
| Authors/Creators: |
|
| Copyright, Publisher and Additional Information: | © 2025 The Author(s). This is an open access article under the terms of the Creative Commons Attribution License (CC-BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited. |
| Keywords: | Battery electric vehicles; Energy consumption; Range prediction; Vehicle weight; Machine learning; Future forecasting |
| Dates: |
|
| Institution: | The University of Leeds |
| Academic Units: | The University of Leeds > Faculty of Environment (Leeds) > Institute for Transport Studies (Leeds) |
| Date Deposited: | 28 Jan 2026 14:29 |
| Last Modified: | 28 Jan 2026 14:29 |
| Status: | Published |
| Publisher: | Elsevier |
| Identification Number: | 10.1016/j.trd.2025.105172 |
| Related URLs: | |
| Sustainable Development Goals: | |
| Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:237071 |
Download
Filename: 1-s2.0-S1361920925005826-main.pdf
Licence: CC-BY 4.0


CORE (COnnecting REpositories)
CORE (COnnecting REpositories)