Comparison of Driving Styles for Estimating the Range of Electric Vehicles
摘要
This paper introduces a simulation-based methodology to evaluate the effect of driving styles on the range of electric vehicles. The study distinguishes between three main style; eco, normal, and aggressive and applies a standardized route while modifying only the speed profile to isolate the style-specific consumption patterns. The paper highlights the use of a custom driving cycle, and a longitudinal vehicle dynamics model implemented in Excel to estimate energy demand. The core of the demo is a comparative simulation run on a second-generation Nissan Leaf. The test route is based on the Hungaroring racetrack and kept constant for all simulations. Each driving style is implemented using a unique speed profile while maintaining consistent environmental and mechanical parameters. Key aspects such as acceleration intensity, braking behaviour, and speed variation were incorporated into the profiles. The energy consumption was calculated for each style using vehicle dynamics formulas, including aerodynamic drag, rolling resistance, and drivetrain efficiency. The simulation results show, that eco driving style resulted the lowest consumption, while aggressive driving led to significantly higher energy use.