Cited time in webofscience Cited time in scopus

Full metadata record

DC Field Value Language
dc.contributor.author Choi, Junghyun -
dc.contributor.author Kim, Dohee -
dc.contributor.author Eo, Jeong Soo -
dc.contributor.author Nam, Kanghyun -
dc.contributor.author Wang, Zejiang -
dc.contributor.author Wang, Junmin -
dc.contributor.author Oh, Sehoon -
dc.date.accessioned 2023-12-26T18:12:48Z -
dc.date.available 2023-12-26T18:12:48Z -
dc.date.created 2022-12-30 -
dc.date.issued 2022-09-29 -
dc.identifier.isbn 9781665468800 -
dc.identifier.issn 2153-0009 -
dc.identifier.uri http://hdl.handle.net/20.500.11750/46813 -
dc.description.abstract This paper presents an algorithm that increases vehicle regenerative braking energy recovery in autonomous driving by leveraging connected and automated vehicle (CAV) technology. Autonomous vehicles may select different maneuvers to increase kinetic energy recovery during deceleration. In the proposed algorithm, the cornering resistance that influences regenerative energy and energy consumption is defined in terms of steering angle during regenerative braking. In particular, a model predictive controller that distributes control inputs of the vehicle is adopted to reduce the cornering resistance for increasing regenerative braking torque. Utilizing the information from CAV technology, this algorithm enables the vehicle to safely conduct braking while increasing its regenerative energy recovery. CarSim-Simulink joint simulations demonstrate the effectiveness of the proposed method. © 2022 IEEE. -
dc.language English -
dc.publisher Institute of Electrical and Electronics Engineers Inc. -
dc.title Coordinated Steering Angle and Yaw Moment Distribution to Increase Vehicle Regenerative Energy in Autonomous Driving -
dc.type Conference Paper -
dc.identifier.doi 10.1109/ITSC55140.2022.9921910 -
dc.identifier.scopusid 2-s2.0-85141839901 -
dc.identifier.bibliographicCitation 25th IEEE International Conference on Intelligent Transportation Systems, ITSC 2022, pp.3083 - 3088 -
dc.identifier.url https://c.trvqd.com/#/television?id=1570682314231201794&preview=2&conferenceId=1569487718822264833 -
dc.citation.conferencePlace CC -
dc.citation.conferencePlace Macau, China -
dc.citation.endPage 3088 -
dc.citation.startPage 3083 -
dc.citation.title 25th IEEE International Conference on Intelligent Transportation Systems, ITSC 2022 -
Files in This Item:

There are no files associated with this item.

Appears in Collections:
Department of Robotics and Mechatronics Engineering MCL(Motion Control Lab) 2. Conference Papers

qrcode

  • twitter
  • facebook
  • mendeley

Items in Repository are protected by copyright, with all rights reserved, unless otherwise indicated.

BROWSE