A review of vehicle fuel consumption models to evaluate eco-driving and eco-routing

Zhou, Min; Jin, Huang; Wang, Wenshuo

doi:10.1016/j.trd.2016.09.008

Cited by 230 publications

(132 citation statements)

References 41 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…In the studies mentioned in the introduction [10][11][12][13][14], savings of only around 10% were reported. However, in other studies savings from 15% to 33% [15,[35][36][37] were found, which are similar to those in this research. Consumption on the eco-route is always the lowest due to the difference in the length of the route.…”

Section: Discussionsupporting

confidence: 92%

Environmental Strategies for Selecting Eco-Routing in a Small City

et al. 2019

View full text Add to dashboard Cite

This research aims to find the most ecological itineraries for urban mobility in a small city (eco-routes), where distances are rather short, but car dependence is really high. A real life citywide survey was carried out in the city of Caceres (Spain) with almost 100,000 inhabitants. Research was done on alternating routes, traffic, times of day, and weather conditions. The output of the study was to assess fuel consumption, CO 2 , and regulated pollutant emissions for different type of vehicles, routes, and drivers. The results show that in the case studied, urban roads had fewer emissions (CO 2 and pollutants) but there was an increase in the population affected by pollutants. On the contrary, bypasses reduced travel time and congestion but increased fuel consumption and emissions. Traffic conditions had a greater influence on fuel consumption in petrol vehicles than diesel ones. Therefore, there must be a balanced distribution of traffic in order to minimize congestion, and at the same time to reduce emissions and the number of people affected by harmful pollution levels. There should be a combination of regulatory measures in traffic policies in order to achieve that balance by controlling access to city centres, limiting parking spaces, pedestrianization, and lowering traffic speeds in sensitive areas.

show abstract

Section: Discussionsupporting

confidence: 92%

Environmental Strategies for Selecting Eco-Routing in a Small City

et al. 2019

View full text Add to dashboard Cite

show abstract

“…Table 2 summarizes the weight data for each vehicle and each included system, while the inventory data for the construction of each considered system are reported in the supplementary material. [31] classified these variables into six broad categories, i.e., those related to travel characteristics (travel distance and times), to the vehicle (engine, vehicle loading, speed, and acceleration), to ambience (temperature, humidity, and wind), to the road network (roadway grade, surface roughness, and horizontal curvature), to traffic (traffic flow and signaling), and to the driver (driver behaviour and aggressiveness). In general, energy consumption is shown as increasing with speed and acceleration, both for ICEVs [32,33] and EVs [34], even if EVs seem to be more efficient in urban driving conditions, both considering laboratory driving tests and real-world vehicle activity patterns [35][36][37].…”

Section: Production Phase Modelingmentioning

confidence: 99%

Traffic Simulation-Based Approach for A Cradle-to-Grave Greenhouse Gases Emission Model

et al. 2019

View full text Add to dashboard Cite

This paper presents a model to evaluate the life cycle greenhouse gases (GHG) emissions, expressed in terms of carbon dioxide equivalent (CO 2 eq), of a generic fleet composition as a function of the traffic simulation results. First we evaluated the complete life cycle of each category of the vehicles currently circulating; next, by defining a general linear equation, the traffic environmental performances of a real road network (city of Rome) were evaluated using a traffic simulation approach. Finally, the proposed methodology was applied to evaluate the GHG emission of a 100% penetration of battery electric vehicles (BEVs) and various electric and conventional vehicles composition scenarios. In terms of life cycle impacts, BEVs are the vehicles with the highest GHG emissions at the vehicle level (construction + maintenance + end-of-life processes) that are, on average, 20% higher than internal combustion engine vehicles, and 6.5% higher than hybrid electric vehicles (HEVs). Nevertheless, a 100% BEVs penetration scenario generates a reduction of the environmental impact at the mobility system level of about 65%.

show abstract

“…Worldwide, 25% of transport energy consumption is increased from 1990 to 2000, and it is projected to reach 90% in 2030. Automotive industries provide the solution in the form of electric vehicles.…”

Section: Introductionmentioning

confidence: 99%

Nonlinear control of hybrid energy storage system for hybrid electric vehicles

Majeed

Khan

Asghar

2019

Int Trans Electr Energ Syst

View full text Add to dashboard Cite

Summary Rapidly evacuating fossil fuels, oil, natural gas assets, and environmental effects has made the hybrid electric vehicles more effective than conventional vehicles. There are a larger number of researches that have been carried out on fuel cell–based electric vehicles. This paper presents the nonlinear control that deals with hybrid energy storage system (HESS) for hybrid electric vehicles. HESS consists of two sources: a fuel cell and supercapacitor. Fuel cell acts as the main source while supercapacitor as the auxiliary source. These two sources are associated with bus bar link via power electronic circuitry to harness the power from these sources at single platform. A nonlinear control technique with merging effects of sliding mode and backstepping control is applied to attain the following control goals: (a) better DC bus voltage regulation, (b) reference tracking of fuel cell current and supercapacitor current, and (c) global stability of proposed system. The main reason behind applying the sliding mode–based backstepping control is because of nonlinearities present in the nature of the system. The simulation has been performed on Matlab/Simulink to ensure the fast convergence, better DC voltage regulation, and error‐free reference tracking with zero initial overshoot to meet all the control objectives.

show abstract

A review of vehicle fuel consumption models to evaluate eco-driving and eco-routing

Cited by 230 publications

References 41 publications

Environmental Strategies for Selecting Eco-Routing in a Small City

Environmental Strategies for Selecting Eco-Routing in a Small City

Traffic Simulation-Based Approach for A Cradle-to-Grave Greenhouse Gases Emission Model

Nonlinear control of hybrid energy storage system for hybrid electric vehicles

Contact Info

Product

Resources

About