Proactive Eco-Driving Control of an Autonomous Electric Vehicle in Presence of Signalized Intersections and Preceding Vehicles

Research output: Chapter in Book/Report/Conference proceedingConference paperResearch

Abstract

The study proposes a dynamic proactive predictive cruise control eco-driving (eco-PPCC) framework for controlling the speed of an Autonomous Electric Vehicle (AEV) approaching a signalized intersection in the presence of a preceding vehicle. By utilizing the preceding vehicle's data, the framework optimizes the AEV's speed profile, achieving significant reductions in energy consumption. The study compares the proposed eco-PPCC algorithm to the conventional Gipps and eco-PCC models, and real-world measurements are taken to study practical scenarios. The results show that the proposed framework outperforms conventional methods by significantly reducing unnecessary stops at intersections, speed fluctuations, and energy consumption.

Original languageEnglish
Title of host publication2023 IEEE Vehicle Power and Propulsion Conference, VPPC 2023 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-6
Number of pages6
ISBN (Electronic)9798350344455
DOIs
Publication statusPublished - 2023
Event19th IEEE Vehicle Power and Propulsion Conference, VPPC 2023 - Milan, Italy
Duration: 24 Oct 202327 Oct 2023

Publication series

Name2023 IEEE Vehicle Power and Propulsion Conference, VPPC 2023 - Proceedings

Conference

Conference19th IEEE Vehicle Power and Propulsion Conference, VPPC 2023
Country/TerritoryItaly
CityMilan
Period24/10/2327/10/23

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

Keywords

  • autonomous electric vehicles
  • Eco-driving
  • energy management
  • proactive predictive cruise control

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