EVALUATION OF BATTERY MODELS FOR PREDICTION OF ELECTRIC VEHICLE RANGE

Three analytical models for predicting electric vehicle battery output and the corresponding electric vehicle range for various driving cycles were evaluated. The models were used to predict output and range, and then compared with determined values determined by laboratory tests on batteries using discharge cycles identical to those encountered by an actual electric vehicle while on SAE cycles. Results indicate that the modified Hoxie model gave the best predictions with an accuracy of about 97 to 98% in the best cases and 86% in the worst case. A computer program was written to perform the lengthy iterative calculations required. The program and hardware used to automatically discharge the battery are described.

• Corporate Authors:

  Jet Propulsion Laboratory

  California Institute of Technology, 4800 Oak Grove Drive
  Pasadena, CA  United States  91103
• Authors:
  • Frank, H A
  • Phillips, A M
• Publication Date: 1977-8-1

Media Info

• Pagination: 67 p.

Subject/Index Terms

• TRT Terms: Alternatives analysis; Computer programs; Electric batteries; Electric discharge; Electric vehicles; Electrical measurement; Energy; Forecasting; Laboratory tests; Mathematical models; Mathematical prediction; Storage batteries; Technology
• Uncontrolled Terms: Models
• Old TRIS Terms: Energy technology
• Subject Areas: Data and Information Technology; Energy; Geotechnology; Highways; Materials; Safety and Human Factors;

Filing Info

• Accession Number: 00169594
• Record Type: Publication
• Source Agency: National Technical Information Service
• Report/Paper Numbers: NASA-CR-155045
• Contract Numbers: NAS7-100
• Files: TRIS
• Created Date: Mar 14 1978 12:00AM