Abstract
Society relies on electric mobility to decrease the problems associated with local emissions and global climate change. One key factor for the success of electric vehicles is their everyday usability. Today's users must deal with limited driving range in a sparse charging infrastructure. In this work, we investigate central features influencing the everyday usability of electric vehicles, such as battery capacity, charging infrastructure, range prediction accuracy and vehicle concepts. Since the influence of these aspects depend on each other, they cannot be examined separately. Therefore, we created a stochastic simulation framework with vehicle models and map data to calculate a large amount of different feature variations. One of our key findings is that battery capacities beyond 100 kWh are not feasible. In addition, we stated the importance of an accurate range estimation algorithm and a dense network of high-performance charging points for everyday usability. Taking these results into consideration would help policy makers and automobile manufacturers achieve worldwide acceptance of electric vehicles.
Highlights
In recent years, electric mobility has become more important and present
We introduce a detailed simulation framework to analyze the everyday usability of battery electric vehicles (BEVs)
In this work, we investigated the everyday usability of electric vehicles
Summary
Car manufacturers are launching more battery electric vehicles (BEVs) and charging infrastructure is being expanded both by government agencies as well as private establishments. Due to the limited charging infrastructure and the lower driving range of BEVs, drivers experience range anxiety, which is the fear of stranding with an empty battery. To achieve widespread acceptance of electric mobility, range anxiety must be eliminated and the everyday usability of the vehicles increased. Thereby, technical, economical and environmental restrictions impact the dimensioning of the battery. Battery capacities must be large enough for public acceptance while minimizing negative technical, economical and environmental effects. The range estimation algorithm within the vehicle must be reliable enough so the driver does not end up being stranded with an empty battery, due to an over-optimistic prediction
Sign-in/Register to view highlights & summary 
Published Version (
Free)
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call