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Showing 1 to 13 of 13 for “"vehicle modeling"”.

  1. Complex Vehicle Modeling: A Data Driven Approach

    … (NN) model to predict fuel consumption in heavy vehicles. The model uses predictors derived from vehicle speed, mass, and road grade. These variables are readily available from telematics devices that are becoming an integral part of connected vehicles. The model predictors are aggregated over a …

    iupui Repository record for Complex Vehicle Modeling: A Data Driven Approach (opens in a new tab)

  2. A New Fuzzy Based Stability Index Using Predictive Vehicle Modeling and GPS Data

    … as a means of logistical organization for fleet vehicles has become more widespread in recent years. The system has the ability to track vehicle location, report on diagnostic trouble codes, and keep tabs on maintenance schedules. This helps to improve the safety and productivity of the vehicles …

    vt Repository record for A New Fuzzy Based Stability Index Using Predictive Vehicle Modeling and GPS Data (opens in a new tab)

  3. Neural network enhanced off-road skid-steer vehicle modeling with an application to path planning

    Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2024-08-01

    uiuc Repository record for Neural network enhanced off-road skid-steer vehicle modeling with an application to path planning (opens in a new tab)

  4. Verification of a six-degree of freedom simulation model for the REMUS autonomous underwater vehicle

    … of modular, low-cost autonomous underwater vehicles (AUVs) in such applications as long-range oceanographic survey, autonomous docking, and shallow-water mine countermeasures requires improving the vehicles' maneuvering precision and battery life. These goals can be achieved through the …

    woods-hole Repository record for Verification of a six-degree of freedom simulation model for the REMUS autonomous underwater vehicle (opens in a new tab)

  5. Autonomous aggressive driving: theory & experiments

    Autonomous vehicles represent a major trend in future intelligent transportation systems. In order to develop autonomous vehicles, this dissertation intends to understand expert driving maneuvers in different scenarios such as highway overtaking and off-road rally racing, which are referred to as …

    gatech Repository record for Autonomous aggressive driving: theory & experiments (opens in a new tab)

  6. Verification of a six-degree of freedom simulation model for the REMUS autonomous underwater vehicle

    … of modular, low-cost autonomous underwater vehicles (AUVs) in such applications as long-range oceanographic survey, autonomous docking, and shallow-water mine countermeasures requires improving the vehicles' maneuvering precision and battery life. These goals can be achieved through the …

    mit Repository record for Verification of a six-degree of freedom simulation model for the REMUS autonomous underwater vehicle (opens in a new tab)

  7. Design of a Portable Tire Test Rig and Vehicle Roll-Over Stability Control

    Vehicle modeling and simulation have fast become the easiest and cheapest method for vehicle testing. No longer do multiple, intensive, physical tests need be performed to analyze the performance parameters that one wishes to validate. One component of the vehicle simulation that is crucial to the …

    vt Repository record for Design of a Portable Tire Test Rig and Vehicle Roll-Over Stability Control (opens in a new tab)

  8. Optimal Energy Management System of Plug-In Hybrid Electric Vehicle

    Plug-in Hybrid Electric Vehicles (PHEV) are new generation Hybrid Electric Vehicles (HEV) with larger battery capacity compared to Hybrid Electric Vehicles. They can store electrical energy from a domestic power supply and can drive the vehicle alone in Electric Vehicle (EV) mode. According to the …

    iupui Repository record for Optimal Energy Management System of Plug-In Hybrid Electric Vehicle (opens in a new tab)

  9. Validation of ADVISOR as a Simulation Tool for a Series Hybrid Electric Vehicle Using the Virginia Tech FutureCar Lumina

    … produce more fuel efficient and lower emissions vehicles. These goals are reflected by the Partnership for a New Generation of Vehicles (PNGV), a government, industry, and educational partnership in the United States. The major goal of this partnership is to have production vehicles by 2010 to …

    vt Repository record for Validation of ADVISOR as a Simulation Tool for a Series Hybrid Electric Vehicle Using the Virginia Tech FutureCar Lumina (opens in a new tab)

  10. Willans Line Modeling for Powertrain Analysis and Energy Consumption of Electric Vehicles

    With electric vehicles becoming increasingly prevalent in the automotive market consumers are becoming more conscientious of total driving range. In light of this trend, reliable and accurate modeling methods are necessary to aid the development of more energy efficient vehicles with greater …

    vt Repository record for Willans Line Modeling for Powertrain Analysis and Energy Consumption of Electric Vehicles (opens in a new tab)

  11. Unified Net Willans Line Model for Estimating the Energy Consumption of Battery Electric Vehicles

    … transition from internal combustion engine vehicles (ICEVs) to battery electric vehicles (BEVs). To facilitate this transition, reliable energy consumption modeling is desired for providing quick, high-level estimations for a BEV without requiring extensive vehicle and computational …

    vt Repository record for Unified Net Willans Line Model for Estimating the Energy Consumption of Battery Electric Vehicles (opens in a new tab)

  12. Energy Losses for Propelling and Braking Conditions of an Electric Vehicle

    … of hybrid-electric and full function electric vehicles is growing within the automotive transportation sector. While many papers exist concerning fuel economy or fuel consumption and the limitations of conventional powertrains, little published work is available for vehicles which use grid …

    vt Repository record for Energy Losses for Propelling and Braking Conditions of an Electric Vehicle (opens in a new tab)