Simulation of a Solar Powered Electric Vehicle Under the Constraints of the World Solar Challenge.

Abstract

Development of an effective method for evaluation of alternative energy sources in the automotive industry has always been a necessity for cost efficient design analysis. One viable alternative energy source is electricity. In the present day environment of shrinking fossil fuel supplies and environmental awareness, electric powered vehicles are becoming a low cost, non-polluting, alternative means of transportation. The analysis of reliable electric propulsion can be expensive without a modeling tool for evaluating design strategies before vehicle construction. This thesis explores electricity as an alternative energy source for the automobile of tomorrow. Under the guidelines of the World Solar challenge, a solar powered electric vehicle, using a permanent-magnet brushless dc motor has be modeled and simulated in Simulink (Dynamic System Simulation Software). The simulations were performed with the goal of determining the optimum configuration to efficiently utilize the power supplied from the solar array, batteries, and motor. The simulated vehicle was 'driven' over various terrain's and at various speeds. The results obtained confirm this simulation as an efficient design tool and present an example of an optimum vehicle speed for one particular vehicle configuration.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1995
Accession Number
ADA294615

Entities

People

  • Steven J. Roerig

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Automobiles
  • Brushless Dc Motors
  • Cloud Cover
  • Construction
  • Dc Motors
  • Differential Equations
  • Electric Propulsion
  • Electric Vehicles
  • Electricity
  • Energy
  • Engineering
  • Fossil Fuels
  • Motors
  • Permanent Magnets
  • Renewable Energy
  • Simulations
  • Solar Panels

Fields of Study

  • Engineering

Readers

  • Computational Modeling and Simulation
  • Electrical Engineering
  • Systems Analysis and Design