Impact of driving characteristics on electric vehicle energy consumption and range

Bingham, Chris and Walsh, C. and Carroll, S. (2012) Impact of driving characteristics on electric vehicle energy consumption and range. IET Intelligent Transport Systems, 6 (1). pp. 29-35. ISSN 1751-956X

Full content URL: http://dx.doi.org/10.1049/iet-its.2010.0137

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Item Type:Article
Item Status:Live Archive

Abstract

This study investigates the impact of driver behaviour/driving-style on the energy consumption, state-of-charge (SOC) usage and range, of all-electric vehicles (EVs). Results from many driving cycles using a sole driver, along with those from a pre-defined �40km route encompassing both urban and rural roads in Sheffield (UK) with various drivers, are given and analysed. The platform for the study is an all electric-drive Smart Fortwo ED, supplied using Zebra battery technology. Measurements of real-time quantities such as wheel speed and SOC over a number of driving trials show that energy consumption is significantly affected by driving style, and that through basic statistical analysis of acceleration profiles, for instance, a metric for assessing 'good driving practice' can be obtained. It is ultimately shown that the difference between driving in a moderate manner, and more aggressively, can make �30 difference in energy consumption - amounting to 30g/km of CO 2 (equivalent) over the driving duty considered in this case. The results also highlight the substantial savings that can be accrued by appropriate traffic management in congested areas, by allowing the driver to minimise periods of repeated acceleration/deceleration and allow longer periods of steady-speed motion. Although a pure EV platform is used to focus the study, ultimately the results are more widely applicable to plug-in hybrid counterparts. © 2012 The Institution of Engineering and Technology.

Keywords:Acceleration profiles, Acceleration/deceleration, Battery technology, Driver behaviour, Driving characteristics, Driving cycle, Driving styles, Plug-in hybrids, Sheffield, State-of-charge, Traffic management, Vehicle energy, Wheel speed, Carbon dioxide, Electric vehicles, Energy utilization, Behavioral research
Subjects:H Engineering > H331 Road Vehicle Engineering
Divisions:College of Science > School of Engineering
ID Code:11164
Deposited On:08 Jan 2014 09:14

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