Affiliation:
1. Ocean University of China, Engineering College
2. Ocean University of China
3. Hefei University of Technology, School of Automotive and Tra
Abstract
<div class="section abstract"><div class="htmlview paragraph">The sensitivity of the electric vehicle (EV) energy consumption characteristics
has seriously hindered the promotion and development of vehicle electrification
in the coastal area, as quantities of additional energy are caused by the
complex and ever-changing coastal driving conditions. In that case, this paper
aims to clarify the quantitative impacts of coastal driving conditions on EV
energy consumption characteristics based on the coastal traffic data and the EV
powertrain. Firstly, this paper analyzes the coastal driving conditions with the
help of multisource traffic data. Secondly, the costal-adapted EV energy
consumption model is constructed to reveal the relationship between powertrain
performance and coastal driving conditions. Next, the EV coastal driving
framework is proposed to identify the EV driving state in the coastal area.
Finally, the EV energy consumption spatiotemporal characteristics in a typical
coastal road are discussed with the help of simulations. The results show that
coastal driving conditions have great impacts on the EV energy consumption
characteristics, where the temporal difference of EV energy consumption in
coastal areas is as high as 19.4%, causing a 19.1% difference in the SOC, and
the EV spatial energy consumption characteristics are deteriorated by the high
road slope and reversed wind direction once the EV velocity and acceleration are
relatively large.</div></div>