Deceleration Planning Algorithm Based on Classified Multi-Layer Perceptron Models for Smart Regenerative Braking of EV in Diverse Deceleration Conditions
The smart regenerative braking system (SRS) is an autonomous version of one-pedal driving in electric vehicles. To implement SRS, a deceleration planning algorithm is necessary to generate the deceleration used in automatic regenerative control. To reduce the discomfort from the automatic regenerati...
Main Authors: | Gyubin Sim, Kyunghan Min, Seongju Ahn, Myoungho Sunwoo, Kichun Jo |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2019-09-01
|
Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/19/18/4020 |
Similar Items
-
Multi-Level Deceleration Planning Based on Reinforcement Learning Algorithm for Autonomous Regenerative Braking of EV
by: Kyunghan Min, et al.
Published: (2019-09-01) -
Deceleration of Engine-Braked Motorcycles
by: Piotr Ciępka, et al.
Published: (2023-08-01) -
Automatic Longitudinal Regenerative Control of EVs Based on a Driver Characteristics-Oriented Deceleration Model
by: Gyubin Sim, et al.
Published: (2019-09-01) -
Vehicle Deceleration Prediction Model to Reflect Individual Driver Characteristics by Online Parameter Learning for Autonomous Regenerative Braking of Electric Vehicles
by: Kyunghan Min, et al.
Published: (2019-09-01) -
Brake deceleration of cars with light luggage trailers
by: Jan FILIPCZYK
Published: (2012-01-01)