Manufacturers of passenger vehicles are experiencing increased pressure from consumers and legislators due to the impact of transportation on the environment. Automotive manufacturers are responding by designing more sustainable forms of transportation through a variety of efforts, including increased vehicle efficiency and the electrification of vehicle powertrains (plug in hybrid electric vehicles (PHEV) and battery electric vehicles (BEV)). An additional method for reducing the environmental impact of personal transport is eco-routing, a methodology which selects routes on the basis of energy consumption.
Standard navigation systems offer route alternatives between a user clarified origin and destination when there are multiple paths available. These alternatives are commonly weighted on the basis of minimizing either total travel time (TTT) or trip distance. Eco-routing offers an alternative criterion – minimizing route energy consumption. Calculation of the energy consumption of a route necessitates the creation of a velocity profile which models how the route will be driven and a powertrain model which relates energy consumption to the constructed velocity profile. Existing research efforts related to both of these aspects typically require complex analysis and proprietary vehicle properties.
A new approach to weighting the energy consumption of different routes is presented within this paper. The process of synthesizing velocity profiles is an improvement upon simpler models while requiring fewer variables as compared to more complex models. A single input, the maximum acceleration, is required to tune driver aggressiveness throughout an entire route. Additionally, powertrain results are simplified through the application of a new parameter, predictive terminal energy. The parameter uses only glider properties as inputs, as compared to dedicated powertrain models which use proprietary vehicle information as inputs which are not readily available from manufacturers. Application of this research reduces computation time and increases the number of vehicles for which this analysis can be applied. An example routing scenario is presented, demonstrating the capability of the velocity synthesis and predictive terminal energy methodologies. / Master of Science / Research into environmental issues associated with greenhouse gas emissions(GHG) has placed increased pressure on a wide range of industries, transportation in particular. The studied impact of transportation on the environment is shaping legislative efforts and consumer expectations for more energy efficient vehicles. Vehicle manufactures are responding by designing more efficient vehicles such as plug in hybrid electric vehicles (PHEV) and battery electric vehicles (BEV). Beyond efforts into improving vehicle design, research is also being conducted into the efficient routing of vehicles.
Navigation systems often provide multiple options for traveling from a specified origin and destination. These systems typically report the trip distance and time enabling the traveler to make an informed decision of which route to select. Eco‐routing seeks to add a new metric associated with each route option – the energy required to travel from the origin to the destination. Calculating the energy required to travel a given route involves estimating driver behavior and the powertrain response. Calculation of these two factors within existing research typically involves complicated analysis and a variety of vehicle parameters which are not easily accessible.
A new approach to modeling the driver behavior and route dynamics over a given route is presented in this thesis. The presented method for creating velocity profiles is notably less complex than existing research efforts. Additionally, calculation of the powertrain response, or the energy expended to traverse a given route, is explored. Eco‐routing methods discussed in current research often require specific and proprietary information about vehicles to produce results. This thesis simplifies the process of estimating the energy required to complete a route by reducing the required information about passenger vehicles to solely publicly available information. An example routing scenario is presented which provides a demonstration of the discussed methods for approximating driver behavior and powertrain response.
| Identifer | oai:union.ndltd.org:VTETD/oai:vtechworks.lib.vt.edu:10919/78223 |
| Date | 19 June 2017 |
| Creators | Moniot, Matthew Louis |
| Contributors | Mechanical Engineering, Nelson, Douglas J., Rakha, Hesham A., West, Robert L. |
| Publisher | Virginia Tech |
| Source Sets | Virginia Tech Theses and Dissertation |
| Detected Language | English |
| Type | Thesis |
| Format | ETD, application/pdf |
| Rights | In Copyright, http://rightsstatements.org/vocab/InC/1.0/ |
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