Literature Database Entry

jia2023performance


Yanzhao Jia, Anas Abdelkarim, Xiaonan Klingbeil, Rene Savelsberg and Daniel Görges, "Performance Evaluation of Energy-Optimal Adaptive Cruise Control in Simulation and on a Test Track," Elsevier IFAC-PapersOnLine, vol. 56 (2), pp. 4994–5000, 2023.


Abstract

This paper presents a comprehensive evaluation of energy-optimal adaptive cruise control (EACC) based on model predictive control (MPC) in comparison to standard adaptive cruise control (ACC) which is equipped for mass-produced cars of a German car maker. First, a simulation study is made in this work to compare the performance of PID-based control and MPC. Afterwards, a prototype of EACC is installed in an electric vehicle (EV), which is tested as the host car and follows a preceding car on a test track. In the test cycles, which represent urban and rural driving scenarios, EACC reduces the energy consumption of the host car by up to 13% in comparison with the standard ACC. The results of the vehicle tests not only demonstrate a significant energy reduction by EACC, but also show that EACC can reduce the risk of rear-end collisions by reacting earlier to rapid deceleration of the vehicle in front. Furthermore, the passengers feel more comfortable as the vehicle speed trajectory is smoothened by EACC. Finally, to investigate the real-time implementation capability of the optimization algorithms, this paper also examines the computation time of the MPC-based EACC function with different lengths of the MPC horizon.

Quick access

Original Version DOI (at publishers web site)
BibTeX BibTeX

Contact

Yanzhao Jia
Anas Abdelkarim
Xiaonan Klingbeil
Rene Savelsberg
Daniel Görges

BibTeX reference

@article{jia2023performance,
    author = {Jia, Yanzhao and Abdelkarim, Anas and Klingbeil, Xiaonan and Savelsberg, Rene and G{\"{o}}rges, Daniel},
    doi = {10.1016/j.ifacol.2023.10.1276},
    title = {{Performance Evaluation of Energy-Optimal Adaptive Cruise Control in Simulation and on a Test Track}},
    pages = {4994--5000},
    journal = {Elsevier IFAC-PapersOnLine},
    issn = {2405-8963},
    publisher = {Elsevier},
    number = {2},
    volume = {56},
    year = {2023},
   }
   
   

Copyright notice

Links to final or draft versions of papers are presented here to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted or distributed for commercial purposes without the explicit permission of the copyright holder.

The following applies to all papers listed above that have IEEE copyrights: Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

The following applies to all papers listed above that are in submission to IEEE conference/workshop proceedings or journals: This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible.

The following applies to all papers listed above that have ACM copyrights: ACM COPYRIGHT NOTICE. Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, to republish, to post on servers, or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from Publications Dept., ACM, Inc., fax +1 (212) 869-0481, or permissions@acm.org.

The following applies to all SpringerLink papers listed above that have Springer Science+Business Media copyrights: The original publication is available at www.springerlink.com.

This page was automatically generated using BibDB and bib2web.

Last modified: 2024-06-16