The benefit of assisted and unassisted eco-driving for electrified powertrains

Xingda Yan; Craig Allison; James Fleming; Neville Stanton; Roberto Lot

doi:10.1109/THMS.2021.3086057

The benefit of assisted and unassisted eco-driving for electrified powertrains

Xingda Yan
, Craig Allison
, James Fleming
, Neville Stanton
, Roberto Lot

Research output: Contribution to journal › Article › peer-review

386 Downloads (Pure)

Abstract

Eco-driving assistance systems that encourage drivers to engage in fuel-saving behaviour are effective at improving energy-efficiency, with recent research directed towards incorporating predictive models of energy losses in these systems to optimise recommendations. In this paper we evaluate a predictive eco-driving assistance system on three powertrains: a combustion engine-driven vehicle, a parallel hybrid electric vehicle, and a battery electric vehicle. In each case, energy consumption is found by applying a quasi-static model to driving simulator data for a simulated route including urban, rural, and highway sections. We find that both assisted and unassisted eco-driving has a beneficial effect in all cases, with the assistance system leading to reductions in energy usage of 6.1%, 15.9% and 16.6% for the combustion engine, hybrid electric, and battery electric powertrains respectively

Original language	English
Pages (from-to)	403-407
Number of pages	5
Journal	IEEE Transactions on Human-Machine Systems
Volume	51
Issue number	4
DOIs	https://doi.org/10.1109/THMS.2021.3086057
Publication status	Published - 22 Jun 2021

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10.1109/THMS.2021.3086057

_ecoDrivingPowertrains_rev2Accepted author manuscript, 1.06 MB

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title = "The benefit of assisted and unassisted eco-driving for electrified powertrains",

abstract = "Eco-driving assistance systems that encourage drivers to engage in fuel-saving behaviour are effective at improving energy-efficiency, with recent research directed towards incorporating predictive models of energy losses in these systems to optimise recommendations. In this paper we evaluate a predictive eco-driving assistance system on three powertrains: a combustion engine-driven vehicle, a parallel hybrid electric vehicle, and a battery electric vehicle. In each case, energy consumption is found by applying a quasi-static model to driving simulator data for a simulated route including urban, rural, and highway sections. We find that both assisted and unassisted eco-driving has a beneficial effect in all cases, with the assistance system leading to reductions in energy usage of 6.1\%, 15.9\% and 16.6\% for the combustion engine, hybrid electric, and battery electric powertrains respectively",

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The benefit of assisted and unassisted eco-driving for electrified powertrains

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