BATTERY OPTIMIZATION CONSIDERATIONS

During the past three years, Argonne National Laboratory (ANL) had developed a computerized method for establishing battery requirements for electric vehicles. This system, which is called Eva (Electric Vehicle Analysis), enables least-cost analyses for optimizing battery characteristics tailored to specific vehicle types and missions. Eva is a user-friendly, interactive software package which allows complex battery and vehicle optimization with relative ease. Key features of Eva include extensive modeling of battery interrelationships and a consistent attempt to avoid premature specification of any parameter. An equation for life cycle cost is derived in terms of mission requirements, battery characteristics, and vehicle factors. Advance specification is limited to electrochemical system, vehicle class, and mission requirements. Eva determines the combination of battery characteristics which results in least cost while fully satisfying the mission requirements. The objective is to establish battery requirements of minimum difficulty which lead to electric-vehicle batteries of satisfactory performance and maximum cost competitiveness. (ERA citation 09:037734)

• Supplemental Notes:
  • Portions are illegible in Mircofiche Products.
• Corporate Authors:

  Argonne National Laboratory

  9700 South Cass Avenue
  Argonne, IL  United States  60439
• Authors:
  • Walsh, W J
  • MARR, W W
• Publication Date: 1983

Media Info

• Pagination: 20 p.

Subject/Index Terms

• TRT Terms: Computer programs; Electric batteries; Electric vehicles; Electrochemistry; Life cycle analysis; Life cycle costing; Optimization; Simulation; Specifications; Vehicle classification
• Subject Areas: Energy; Finance; Geotechnology; Highways; Materials; Vehicles and Equipment; I96: Vehicle Operating Costs;

Filing Info

• Accession Number: 00391765
• Record Type: Publication
• Report/Paper Numbers: CONF-831272-4
• Files: TRIS
• Created Date: Jan 30 1985 12:00AM