A Study on the Improvement of EV One-Pedal Driving System Interface and Cost Reduction

2022-01-0779

03/29/2022

Event
WCX SAE World Congress Experience
Authors Abstract
Content
Recently, electric vehicles are rapidly increasing in the global automobile market. As many brands are striving to switch to electric models, the global EV market is expected to account for 31 million units sale on 2030. However, the EV driveline interface is still just a similar way of the operating the internal combustion engine (ICE). The interface of the new era should be new while embracing drivers familiar with the existing design. This study is to achieve better 'one-pedal driving', a key topic among electric vehicle driving methods. 'One-Pedal Driving' refers to a system in which a user controls a vehicle only with an accelerator pedal and regenerative braking power without using a brake pedal in an electric vehicle. The purpose of this study is to provide a true one-pedal driving experience to customers with minimal design improvement while reducing costs for manufacturers. For this study, first of all, we would like to analyze the big data of 3.8 million driving record and 380 user surveys are conducted to find Problem and analyze Pain Points. Next, Through the newly designed UX study-based analysis technique in this study, we intend to present the form of regenerative braking control mechanism suitable for EV user characteristics (Problem Solving). As a result, we propose an era of "actual one-pedal driving" that reduces the cost of regen paddle brought from paddle shifts of internal combustion engines that do not fit the characteristics of EV vehicles and promotes user convenience. Only then can the driver perform true one-pedal driving by exerting appropriate acceleration and braking force with one foot.
Meta TagsDetails
Citation
Won, M., "A Study on the Improvement of EV One-Pedal Driving System Interface and Cost Reduction," SAE Technical Paper 2022-01-0779, 2022, .
Additional Details
Publisher
Published
Mar 29, 2022
Product Code
2022-01-0779
Content Type
Technical Paper
Language
English