BEV Energy Consumption Estimation for Route Planning

Abstract

The issue of battery electric vehicles (BEVs) is a hot topic in 2023, and one that has a lot of crossover beyond academia. Although BEVs are significantly more energy efficient than vehicles with conventional internal combustion engines [1], the operational range of EV is still considered as one of the main limitations of this technology. Because of this, BEVs need to be able to estimate as accurately as possible the energy consumption of driving and the associated operational range limitation. This paper focuses on the design of an algorithm for detailed simulation of BEV driving in order to determine the total power consumption for typical routes in Central European conditions. The paper presents the BEV driving simulation algorithm and simulation results for typical routes. Furthermore, a comparison of the simulation results with data measured in real world driving of a BEV in real traffic is made. The results show that the total energy consumption of the journey can be estimated before the start of the journey using the presented algorithm with a standard mean deviation of up to 10%. The presented algorithm can serve as one of the determining elements of a comprehensive solution for finding the most suitable driving route and adds the energy aspect of route selection optimization to existing algorithms.