Integration of traffic simulation and propulsion modeling to estimate energy consumption for battery electric vehicles

Abstract

The introduction of battery electric vehicles (BEV) creates many new challenges. Among them is driving a vehicle with limited driving range, long charging time and sparse deployment of charging stations. This combination may cause range anxiety for prospective owners as well as serious practical problems with using the products. Tools are needed to help BEV owners plan routes that avoid both range anxiety and practical problems involved with being stranded by a discharged battery. Most of these tools are enabled by algorithms that provide accurate energy consumption estimates under real-world driving conditions. The tools, and therefore the algorithms must be available at vehicle launch even though there is insufficient time and vehicles to collect good statistics. This paper describes an approach to derive such models based on the integration of traffic simulation and vehicle propulsion modeling.