Effects of battery technologies, driving patterns, and climate comfort control on the performance of electric vehicles

摘要

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 this paper show the importance of considering various effects, such as battery technology, driving pattern, and climate comfort control, in the determination of EV performances. Electric vehicle energy consumption decreases more than 20% when a battery with characteristics similar to the USABC long-term goals is used instead of an advanced lead-acid battery.