Auxiliary power units (APUs) are widely used for electric power generation in various types of electric vehicles, improvements in fuel economy and emissions of these vehicles directly depend on the operating point of the APUs. In order to balance the conflicting goals of fuel consumption and emissions reduction in the process of operating point choice, the APU operating point optimization probl...

continuous progression along streets do not guarantee the lowest fuel consumption and emissions. Excessive speeding, which may occur on roads with low traffic, may cause increased emissions for several pollutants. The best flow of traffic on arterial streets, in terms of fuel consumption and emissions, is the one with the fewest stops, shortest delays, and moderate speeds maintained throughout ...

Aiming at the features of Plug-in Hybrid Electric Vehicles (PHEV) which can be charged through the network, the moving process of starting the engine was analyzed; the vehicle energy management strategy was formulated by combing of pure electric control strategy and economic model control strategy. Using genetic algorithm to optimize the upper and lower fluctuation limit values of state of char...

In this paper we attempt to understand how policy interventions could improve the fuel economy of drivers without changing the vehicles they drive or the trips they take. To do this, we use high-resolution driving data to document the large variation in actual on-road fuel economy achieved by drivers of identical vehicles. We analyze this variation using a model that links driver behavior to ve...

Intelligent Transport System; Fuel Consumption Optimization; Data Envelopment Analysis (DEA); Driving Assistant; Android; Applications; Mobile Computing In this paper, we propose a solution to reduce the stress level of the driver, minimize fuel consumption and improve safety. The system analyzes the driving style and the driver’s workload during the trip while driving. If it discovers an area ...

In order to further improve the whole vehicle economy of a novel plug-in hybrid electric vehicle (PHEV), considering two main factors, which are the driving working conditions and the driving distance, influencing the whole vehicle economy, a control strategy based on fuzzy self-adaptive online recognition is provided. A fuzzy working condition recognition algorithm is designed to online recogn...

The fuel consumption of a simulation model of a real Hybrid Electric Vehicle is optimized on a standardized driving cycle using metaheuristics (PSO, ES, GA). Search space discretization and metamodels are considered for reducing the number of required, time-expensive simulations. Two hybrid metaheuristics for combining the discussed methods are presented. In experiments it is shown that the use...

In this study a pseudo comprehensive carbon footprint model for fossil fuel power plants is presented. Parameters which their effects are considered in this study include: plant type, fuel type, fuel transmission type, internal consumption of the plant, degradation, site ambient condition, transmission and distribution losses. Investigating internal consumption, degradation and site ambient con...

Fuel consumption is one of the key parameters in mechanised forest operations, particularly on lower bearing capacity soils, as wheel chains or bogie tracks can have a strong effect it. This study aims to analyse fuel several individual wheeled cut-to-length forwarder set-ups with different types peatland using automatic recording data bus information. Two forwarders, 8-wheeled and 10-wheeled, ...