| Issue |
Acta Acust.
Volume 10, 2026
|
|
|---|---|---|
| Article Number | 21 | |
| Number of page(s) | 17 | |
| Section | Hearing, Audiology and Psychoacoustics | |
| DOI | https://doi.org/10.1051/aacus/2026013 | |
| Published online | 03 April 2026 | |
Scientific Article
A lexicon to describe specific sounds of the electric car cabin: A verbal approach to comfort improvement
1
UTC, Alliance Sorbonne Université, Laboratoire Roberval, 1 rue Roger Couttolenc, 60200 Compiégne, France
2
STMS Ircam-CNRS-SU, 1, place Igor-Stravinsky, 75004 Paris, France
3
Renault Group, 1 Av. du Golf, 78280 Guyancourt, France
* Corresponding author: This email address is being protected from spambots. You need JavaScript enabled to view it.
Received:
4
April
2025
Accepted:
6
February
2026
Abstract
Electric vehicles are now part of the everyday automotive landscape. The resulting sonic experience is a major challenge for driver comfort. Despite this challenge being known, no solution reaching general consensus has yet been proposed. This might be due to the lack of a common culture of the sound or the expected sonic target in electric vehicles, in opposition to what existed for thermal engine. This work proposes a decisive tool to enhance communication on sound description in the electric car cabin. Inspired by soundscape studies, the methodology consists in using a semi-structured questionnaire oriented toward sound description and judgment with 12 acousticians working on electric vehicles. A verbal analysis identifies 11 specific sound names describing this sonic environment. Definitions that include three levels of description: causal, reduced and hedonic as well as audio illustrations, are proposed for each sound name. The lexicon is validated by the same group of acousticians and available online.
Key words: Electric vehicle noise / Sound design / Lexicon / Comfort
© The Author(s), Published by EDP Sciences, 2026
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.
