Abstract
Until battery technology makes a leap, shortage of range is by far the greatest flaw in electric vehicle technology that is otherwise very effective and promising. However, energy use is also highly dependent on duty cycles, driving conditions and traffic situation. Furthermore, cabin heating in an EV will not be supported by energy losses as in an ICE-car. Therefore, actual range can differ substantially in real-life situations, and can be much shorter than the official figures given by the manufacturers. Project RekkEVidde is aiming at drafting a testing scheme to address EV driving in Nordic conditions, and produce realistic range estimates for the consumers to help them understand and make better use of this raising technology. Initial laboratory testing was imposed on a Citroën C-Zero EV using multiple different driving cycles and testing also at -20 °C, not just the normal ambient. First review of the results in this paper shows that the energy consumption was raised on average some 30 % at low ambient, resulting to a 15 to 30 % shorter range. This was due to only increasing the air drag component according to increase in air density, but further on-road testing will also give us more information on increase of rolling resistance because of snow and ice packed on road surface. Furthermore, use of cabin heating was not included in these numbers. Should it be turned on, the range will be further shortened as much as 50 % in slow-speed urban driving.
Highlights
Electric vehicles are still immature compared to IC-driven cars regarding range
Cabin heating in an EV will not be supported by energy losses as in an ICE-car
Actual range can differ substantially in real-life situations, and can be much shorter than the official figures given by the manufacturers
Summary
Electric vehicles are still immature compared to IC-driven cars regarding range. State of the art products as the Tesla Roadster offers close to 400 km on one charge [1], and their upcoming “Model X” is touted to go up to 500 km [2]. Energy use is highly dependent on duty cycles, driving conditions and traffic situation. Assessing vehicle performance using most realistic driving patterns and weather conditions, including especially low ambient temperatures, is essential. Otherwise, this may even cause a backfire effect to the deployment of EVs. Accurate and realistic information of range is needed for the process of planning and calculating the capacity of the charging infrastructure, as well as spatial allocation of the charging points. In extreme situations local conditions may lower the range of EVs, and the density of the charging network needs to be increased to guarantee all-year trouble-free operations
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