Acceleration, Drive Cycle Efficiency, and Cost Tradeoffs for Scaled Electric Vehicle Drive System
Journal article, 2020

This article investigates and quantifies, for varying drive system ratings (0.5-2.0 times the rating of a small and large reference system), the tradeoff relations between the electric vehicle acceleration performance and energy consumption during a wide range of drive cycles, using detailed load-dependent loss models. Additionally, the results are related to estimated drive system cost by transparently determined scalable electric motor and inverter cost models. When reducing the system rating to half, the cost is 83% of the small reference system and 76% of the large. The acceleration time (0-100 km/h) decreases nonlinearly with increasing system rating. Interestingly, the drive cycle energy consumption generally decreases with decreasing drive system rating, and most cycles show a minimum consumption with a downscaled drive system. For the small system, the strongest impact was noted for the HWFET cycle where the energy consumption is reduced 2% when downscaling the drive system by 0.5 relative to the reference system. For the large system, NYCC shows the largest reduction in energy consumption: 4% when scaled by 1.6 relative to the reference system.

Acceleration

inverter

Inverters

Wheels

Torque

energy consumption

Energy consumption

scalable model

cost

electric vehicle

Acceleration

electric machine

Windings

Electric machines

modeling

Author

Emma Grunditz

Chalmers, Electrical Engineering, Electric Power Engineering

Torbjörn Thiringer

Chalmers, Electrical Engineering, Electric Power Engineering

Nima Saadat

SEG Automotive

IEEE Transactions on Industry Applications

0093-9994 (ISSN) 1939-9367 (eISSN)

Vol. 56 3 3020-3033 9016081

Areas of Advance

Transport

Subject Categories

Other Environmental Engineering

Energy Systems

Other Electrical Engineering, Electronic Engineering, Information Engineering

DOI

10.1109/TIA.2020.2976861

More information

Latest update

4/5/2022 6