Ecological Adaptive Cruise Control of Plug-In Hybrid Electric Vehicle With Connected Infrastructure and On-Road Experiments-Reference-Cited by-同舟云学术

Ecological Adaptive Cruise Control of Plug-In Hybrid Electric Vehicle With Connected Infrastructure and On-Road Experiments

Published:2022-01-01 Issue:1 Volume:144 Page:
ISSN:0022-0434
Container-title:Journal of Dynamic Systems, Measurement, and Control
language:en
Short-container-title:

Author:

Bae Sangjae¹,Kim Yeojun²,Choi Yongkeun²,Guanetti Jacopo²,Gill Preet¹,Borrelli Francesco²,Moura Scott J.¹

Affiliation:

1. Civil and Environmental Engineering, University of California, Berkeley, Berkeley, CA 94704

2. Mechanical Engineering, University of California, Berkeley, Berkeley, CA 94704

Abstract

Abstract This paper examines both mathematical formulation and practical implementation of an ecological adaptive cruise controller (ECO-ACC) with connected infrastructure. Human errors are typical sources of accidents in urban driving, which can be remedied by rigorous control theories. Designing an ECO-ACC is, therefore, a classical research problem to improve safety and energy efficiency. We add two main contributions to the literature. First, we propose a mathematical framework of an online ECO-ACC for plug-in hybrid electric vehicle (PHEV). Second, we demonstrate ECO-ACC in a real world, which includes other human drivers and uncertain traffic signals on a 2.6 (km) length of the corridor with eight signalized intersections in Southern California. The demonstration results show, on average, 30.98% of energy efficiency improvement and 8.51% additional travel time.

Funder

Advanced Research Projects Agency

Publisher

ASME International

Subject

Computer Science Applications,Mechanical Engineering,Instrumentation,Information Systems,Control and Systems Engineering

Link

https://asmedigitalcollection.asme.org/dynamicsystems/article-pdf/144/1/011109/6823226/ds_144_01_011109.pdf

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