Vehicle Deceleration Prediction Model to Reflect Individual Driver Characteristics by Online Parameter Learning for Autonomous Regenerative Braking of Electric Vehicles

Vehicle Deceleration Prediction Model to Reflect Individual Driver Characteristics by Online Parameter Learning for Autonomous Regenerative Braking of Electric Vehicles

The connected powertrain control, which uses intelligent transportation system information, has been widely researched to improve driver convenience and energy efficiency. The vehicle state prediction on decelerating driving conditions can be applied to automatic regenerative braking in electric veh...

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Bibliographic Details
Main Authors:	Kyunghan Min, Gyubin Sim, Seongju Ahn, Myoungho Sunwoo, Kichun Jo
Format:	Article
Language:	English
Published:	MDPI AG 2019-09-01
Series:	Sensors
Subjects:	vehicle speed prediction driver behavior modeling electric vehicle control driver characteristics online learning
Online Access:	https://www.mdpi.com/1424-8220/19/19/4171

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