As part of the U.S. Department of Energy`s electric/hybrid vehicle research program, Argonne National Laboratory has developed a computer software package called EAGLES. This paper describes the capability of the software and its many features and potential applications. EAGLES version 1.1 is an interactive microcomputer software package for the analysis of battery performance in electric-vehicle applications, or the estimation of fuel economy for a gasoline vehicle. The principal objective of the electric-vehicle analysis is to enable the prediction of electric-vehicle performance (e.g., vehicle range) on the basis of laboratory test data for batteries. The model provides a second-by-second simulation of battery voltage and current for any specified velocity/time or power/time profile, taking into consideration the effects of battery depth-of-discharge and regenerative braking. Alternatively, the software package can be used to determine the size of the battery needed to satisfy given vehicle mission requirements (e.g., range and driving patterns). For gasoline-vehicle analysis, an empirical model relating fuel economy, vehicle parameters, and driving-cycle characteristics is included in the software package. For both types of vehicles, effects of heating/cooling loads on vehicle performance can be simulated. The software package includes many default data sets for vehicles, driving cycles, and battery technologies. EAGLES 1.1 …

A computer software package, EAGLES, has been developed at Argonne National Laboratory to analyze electric vehicle (EV) performance. In this paper, we present EAGLES predictions of EV driving range, acceleration rate, and energy consumption under various driving patterns, with different battery technologies, and with assumptions concerning use of air conditioners and/or heaters for climate comfort control. The specifications of a baseline, four-passenger EV for given design performance requirements are established, assuming urban driving conditions represented by the Los Angeles 92 (LA-92) driving cycle and using battery characteristics similar to those of the United States Advanced Battery Consortium (USABC) midterm battery performance goals. To examine the impacts of driving patterns, energy consumption is simulated under three different driving cycles: the New York City Cycle, the Los Angeles 92 Cycle, and the ECE-15 Cycle. To test the impacts of battery technologies, performance attributes of an advanced lead-acid battery, the USABC midterm battery goals, and the USABC long-term battery goals are used. Finally, EV energy consumption from use of air conditioners and/or heaters under different climates is estimated and the associated driving range penalty for one European city (Paris) and two United States cities (Chicago and Los Angeles) is predicted. The results of …