Driving aggressiveness in hybrid electric vehicles: Assessing the impact of driving volatility on emission rates

Fernandes, Paulo; Tomás, Ricardo; Ferreira, Elisabete; Bahmankhah, Behnam; Coelho, Margarida C.

doi:10.1016/j.apenergy.2020.116250

Cited by 27 publications

(7 citation statements)

References 34 publications

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“…The method of driving is another point that should be considered in the calculation of the carbon emissions and fuel consumption, since an aggressive mode results in higher fuel consumption and carbon emissions [44,45]. Therefore, fuel consumption saving can be determined from the driving mode and driving dynamic conditions, assuming that both ICE and EV vehicles operate at equal conditions.…”

Section: Introductionmentioning

confidence: 99%

Real Driving Range in Electric Vehicles: Influence on Fuel Consumption and Carbon Emissions

Armenta-Déu

Cattin

2021

WEVJ

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This paper is focused on the determination of real driving ranges for electric vehicles (EV’s) and how it influences fuel consumption and carbon emissions. A precise method to evaluate the driving range of an EV can establish the correct reduction in GEI amount, mainly CO and CO2, ejected to the environment. The comparison of the daily driving range between an internal combustion engine (ICE) vehicle and an EV provides a useful tool for determining actual fuel saved during a daily trip and a method to compute carbon emissions saved depending on the type of ICE vehicle. Real driving range has been estimated on the basis of a daily trip consisting of five different segments, acceleration, deceleration, constant speed, ascent and descent, which reproduce the different types of driving. The modelling has been developed for urban routes since they are the most common and the most polluted environment where the use of electric vehicles is applied. The effects of types of driving have been taken into account for the calculation of the driving range by considering three main types of driving: aggressive, normal and moderate. The types of vehicle in terms of shape and size as well as dynamic conditions and the types of roads have also been considered for the determination of the driving range. Specific software has been developed to predict electric vehicle range under real driving conditions as a function of the characteristic parameters of a daily trip.

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Section: Introductionmentioning

confidence: 99%

Real Driving Range in Electric Vehicles: Influence on Fuel Consumption and Carbon Emissions

Armenta-Déu

Cattin

2021

WEVJ

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“…Even in optimal test conditions, PHEV emissions are 28-89% higher than advertised [5]. In 2019, hybrid electric vehicles (HEV) represented more than 55% of alternatively-powered vehicles sold in the EU and 6% of new-car registrations [6]. Overall, vehicle tailpipe emissions above standards are associated with almost 40,000 deaths globally in 2015, including approximately 10% of all ozone-related premature deaths in the European Union [7].…”

Section: Introductionmentioning

confidence: 99%

Potential Pollutant Emission Effects of Connected and Automated Vehicles in a Mixed Traffic Flow Context for Different Road Types

Bandeira¹,

Macedo

Fernandes

et al. 2021

IEEE Open J. Intell. Transp. Syst.

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The environmental impact of connected and autonomous vehicles (CAVs) is still uncertain. Little is known about how CAVs operational behavior influences the environmental performance of network traffic, including conventional vehicles (CVs). In this paper, a microscopic traffic and emission modeling platform was applied to simulate CAVs operation in Motorway, Rural, and Urban road sections of a medium-sized European city, assuming different configurations of the car-following model parameters associated with a pre-determined or cooperative adaptative behavior of the CAVs. The main contribution is to evaluate the impact of the CAVs operation on the distribution of accelerations, Vehicle Specific Power (VSP) modal distribution, carbon dioxide (CO2) and nitrogen oxides (NOx) emissions for different road types and Market Penetration Rates (MPR). Results suggest CAVs operational behavior can affect CVs environmental performance either positively or negatively, depending on the driving settings and road type. It was found network-wide CO2 varies between savings of 18% and an increase of 4%, depending on the road type and MPR. CAVs adjusted driving settings allowed minimization of system NOx up to 13-23% for MPR ranging between 10 and 90%. These findings may support policymakers and traffic planners in developing strategies to better accommodate CAVs in a sustainable way.

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“…The evaluation and analysis of vehicular exhaust emissions and road traffic performance have been extensively addressed by the research community through field measurement campaigns and the application of estimation frameworks, namely, the overall network emission impacts and road traffic performance in different network sizes and with different fleet compositions [3,4]. Carpooling is defined as the action of sharing a car journey, therefore making the car carry more than one occupant and reducing the use of private vehicles [1].…”

Section: Introductionmentioning

confidence: 99%

Carpooling as an Immediate Strategy to Post-Lockdown Mobility: A Case Study in University Campuses

et al. 2021

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Carpooling is a mobility concept that has been showing promising results in reducing single occupancy use of private cars, which prompted many institutions, namely universities, to implement carpooling platforms to improve their networks sustainability. Nowadays, currently under a pandemic crisis, public transportation must be used with limitations regarding the number of occupants to prevent the spread of the virus and commuters are turning even more to private cars to perform their daily trips. Carpooling under a set of precaution rules is a potential solution to help commuters perform their daily trips while respecting COVID-19 safety recommendations. This research aimed to develop an analysis of the road traffic and emission impacts of implementing carpooling, with social distancing measures, in three university campus networks through microscopic traffic simulation modeling and microscopic vehicular exhaust emissions estimation. Results indicate that employing carpooling for groups of up to three people to safely commute from their residence area to the university campus has the potential to significantly reduce pollutant emissions (reductions of 5% and 7% in carbon dioxide and nitrogen oxides can be obtained, respectively) within the network while significantly improving road traffic performance (average speed increased by 7% and travel time reduced by 8%).

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Driving aggressiveness in hybrid electric vehicles: Assessing the impact of driving volatility on emission rates

Cited by 27 publications

References 34 publications

Real Driving Range in Electric Vehicles: Influence on Fuel Consumption and Carbon Emissions

Real Driving Range in Electric Vehicles: Influence on Fuel Consumption and Carbon Emissions

Potential Pollutant Emission Effects of Connected and Automated Vehicles in a Mixed Traffic Flow Context for Different Road Types

Carpooling as an Immediate Strategy to Post-Lockdown Mobility: A Case Study in University Campuses

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