Autors: Pavlov, N. L., Gigov, B. I., Stefanova-Pavlova, M. M., Dimitrova Z. Title: Adaptive Predictive Energy Management Strategy Example for Electric Vehicle Long Distance Trip Keywords: Electric vehicles, Driving resistance, Efficiency map, EnergAbstract: In this paper the factors that influence the energy consumption of
electric vehicles are examined. The main factors affecting the driving resistance
such as load, grades, vehicle speed, and additional factors are considered. For
example the climate control system and the influence of ambient temperature on
the electric vehicle range. The impact of the electric drive efficiency map is also
taken into account. The impact of each of the factors was evaluated through a
numerical study. Recommendations are given for the strategy of an adaptive
predictive model for the energy management of an electric vehicle. To be
planned the point of next recharge for a long distance trip, the travel conditions
must be taken into account. This is done by measuring some parameters before
and during the trip. The information from GPS navigation for the intended trip
must also be taken into account. It could give information for road inclines and
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Issue
| Systems, Software and Services Process Improvement. EuroSPI 2020. Communications in Computer and Information Science, vol. 1251, pp. 76-91, 2020, Germany, Springer, ISBN 978-3-030-56440-7 |
Copyright Springer, Cham |