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

Bae, Sangjae; Kim, Yeojun; Choi, Yongkeun; Guanetti, Jacopo; Gill, Preet; Borrelli, Francesco; Moura, Scott J.

doi:10.1115/1.4053187

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

Journal Article · Fri Dec 31 23:00:00 EST 2021 · Journal of Dynamic Systems, Measurement, and Control

DOI:https://doi.org/10.1115/1.4053187· OSTI ID:1980685

Bae, Sangjae ^[1]; Kim, Yeojun; Choi, Yongkeun; Guanetti, Jacopo; Gill, Preet; Borrelli, Francesco; Moura, Scott J.

OSTI

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.

Research Organization:: Univ. of California, Oakland, CA (United States)

Sponsoring Organization:: USDOE Advanced Research Projects Agency - Energy (ARPA-E)

DOE Contract Number:: AR0000791

OSTI ID:: 1980685

Journal Information:: Journal of Dynamic Systems, Measurement, and Control, Journal Name: Journal of Dynamic Systems, Measurement, and Control Journal Issue: 1 Vol. 144; ISSN 0022-0434

Publisher:: ASME

Country of Publication:: United States

Language:: English

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