Next Article in Journal
Acknowledgement to Reviewers of World Electric Vehicle Journal in 2018
Previous Article in Journal
Fuzzy Prediction of Power Lithium Ion Battery State of Function Based on the Fuzzy c-Means Clustering Algorithm
Article Menu
Issue 1 (March) cover image

Export Article

Open AccessArticle
World Electr. Veh. J. 2019, 10(1), 2; https://doi.org/10.3390/wevj10010002

Effect of Ambient Temperature on Electric Vehicles’ Energy Consumption and Range: Model Definition and Sensitivity Analysis Based on Nissan Leaf Data

1
Department of Mechanical and Industrial Engineering, Università di Brescia, via Branze 38, 25123 Brescia BS, Italy
2
Department of Industrial Engineering, Università di Roma Niccolò Cusano, 00166 Roma RM, Italy
*
Author to whom correspondence should be addressed.
Received: 13 December 2018 / Revised: 29 December 2018 / Accepted: 2 January 2019 / Published: 7 January 2019
  |  
PDF [10906 KB, uploaded 8 January 2019]
  |  

Abstract

In this paper, a general quasi-steady backward-looking model for energy consumption estimation of electric vehicles is presented. The model is based on a literature review of existing approaches and was set up using publicly available data for Nissan Leaf. The model has been used to assess the effect of ambient temperature on energy consumption and range, considering various reference driving cycles. The results are supported and validated using data available from an experimental campaign where the Nissan Leaf was driven to depletion across a broad range of winter ambient temperatures. The effect of ambient temperature and the consequent accessories consumption due to cabin heating are shown to be remarkable. For instance, in case of Federal Urban Driving Schedule (FUDS), simplified FUDS (SFUDS), and New European Driving Cycle (NEDC) driving cycles, the range exceeds 150 km at 20 °C, while it reduces to about 85 km and 60 km at 0 °C and −15 °C, respectively. Finally, a sensitivity analysis is reported to assess the impact of the hypotheses in the battery model and of making different assumptions on the regenerative braking efficiency. View Full-Text
Keywords: electric vehicle; ambient conditions; range estimation; energy analysis; sensitivity analysis; experimental validation electric vehicle; ambient conditions; range estimation; energy analysis; sensitivity analysis; experimental validation
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Iora, P.; Tribioli, L. Effect of Ambient Temperature on Electric Vehicles’ Energy Consumption and Range: Model Definition and Sensitivity Analysis Based on Nissan Leaf Data. World Electr. Veh. J. 2019, 10, 2.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
World Electr. Veh. J. EISSN 2032-6653 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top