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...

This paper presents Neural Network (NN) model of Polymer Electrolyte Membran (PEM) Fuel Cell for electric vehicle. The NN model simplifies the conventional model that considered thermodynamics, electrochemistry, hydrodynamics and mass transfer theory. The NN has a multilayer feed forward network structure and is trained using a back propagation learning rule. The NN model is used to predict the...

Present off-highway vehicle market demands low cost and light weight component to meet the NVH, Durability and need of cost effective vehicle with fuel efficient. This in turn gives the rise to more effective use of materials for vehicle parts which can reduce the overall weight with enhanced utility of vehicle for various applications. This paper briefs about how topology optimization techniqu...

Currently, in the United States there is a growing gap between domestic oil production and consumption. The Department of Energy has developed a modeling tool (known as VISION) that projects future consumption by the transportation sector through the year 2050. This paper uses the VISION model to show that an energy savings of 3.8 billion gallons per year can be achieved with a 2.5% improvement...

This paper describes a virtual prototype of a PEMFC based Hybrid Electrical Military Vehicle developed within the Virtual Test Bed (VTB) environment. The VTB is software for modeling, simulation, and virtual prototyping of multi-disciplinary systems. Several of the main models used in the vehicle system especially the fuel cell model are described, and then a system-level model of a High Mobili...

The increasing automobile vehicles and congestions in the world cause critical pollutions such as air and noise. Hence, we need comprehensive measures to reduce carbon dioxide (CO2) emission in transportation area. Many researchers have studied the impact of adopting ecofriendly vehicles such as electric vehicle (EV), hybrid electric vehicle (HEV), plug-in hybrid electric vehicle (PHEV), and fu...

The quest for improved fuel efficiency and environmental friendliness is transforming automotive vehicle design. In addition to new energy sources and management, new powertrain technologies offer increased flexibility in the spatial arrangement (packaging) and exterior shape (styling) of a vehicle. Design choices in packaging and styling are closely linked to consumer preferences, particularly...

Teh aim of dis work is to provide insight into alcohol-kerosene fuels and their promising use as an alternative in commercial aviation. A detailed chemical and physical experimental analysis is drawn, wif a focus on teh advantage of teh isopropanol-kerosene blend. Despite reported beneficial isopropanol effects on retarding fuel combustion, knocking prevention, and much lower emissions, few...

The analysis of fuel economy data results in estimates of the technology utilization by manufacturer and vehicle line. The analysis employs a hierarchical Bayesian regression model with random components representing vehicle lines and manufacturers. The model includes predictor variables which describe vehicle features, such as type of transmission, and vehicle line specific measurements, such ...

The needle lift and return timing of a CRDI (common rail direct injection) injector were investigated using an accelerometer and the Bosch injection rate measurement method. The Bosch method was used to measure the fuel injection rate shape when fuel was injected with several patterns. An accelerometer was mounted on the outside of the injector to catch the needle lift and return timing of the ...