Theoretical Approach of EV Planning Considering Influence Factors in Battery Consumption
Autores: Estíbaliz Loyo Mendivil Iker Arandia Mendizabal
Fecha: 24.09.2023
Abstract
When driving an EV (EV), one of the major concerns is range anxiety, making an accurate route planner an essential tool. It is known that different parameters affect the energy consumption of an EV, therefore, the route planner has to take into account those parameters to make accurate predictions. The main contribution of this paper is an energy consumption model using for the route planner, which considers influential parameters in battery consumption, such as weather conditions, traffic intensity, driving style or the use of auxiliary devices. The performance of this model is evaluated over different routes. Simulation tools have been used for the consumption model, in order to create a complete dataset combining different routes and different combinations of the mentioned parameters. The implemented route optimization algorithm is based on the Bidirectional Dijkstra algorithm applied in a simplified graph. The results show how the implemented planner creates realistic routes for different values of the parameters, compared to existing commercial planners.
BIB_text
title = {Theoretical Approach of EV Planning Considering Influence Factors in Battery Consumption},
pages = {2454-2459},
keywds = {
Accurate prediction; Battery consumption; Condition; Driving styles; Energy consumption model; Energy-consumption; Range anxieties; Route planner; Theoretical approach; Traffic intensity
}
abstract = {
When driving an EV (EV), one of the major concerns is range anxiety, making an accurate route planner an essential tool. It is known that different parameters affect the energy consumption of an EV, therefore, the route planner has to take into account those parameters to make accurate predictions. The main contribution of this paper is an energy consumption model using for the route planner, which considers influential parameters in battery consumption, such as weather conditions, traffic intensity, driving style or the use of auxiliary devices. The performance of this model is evaluated over different routes. Simulation tools have been used for the consumption model, in order to create a complete dataset combining different routes and different combinations of the mentioned parameters. The implemented route optimization algorithm is based on the Bidirectional Dijkstra algorithm applied in a simplified graph. The results show how the implemented planner creates realistic routes for different values of the parameters, compared to existing commercial planners.
}
isbn = {979-835039946-2},
date = {2023-09-24},
}
