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 journalArticlepeer-review


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 languageEnglish
Pages (from-to)403-407
Number of pages5
JournalIEEE Transactions on Human-Machine Systems
Issue number4
Publication statusPublished - 22 Jun 2021


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