Towards electric mobility data mining

Abstract

With the advent of electric mobility, new challenges arise for car makers, utility companies, car sharing ventures, and policy makers in planning, deployment, and management of electric vehicle infrastructures. To this end, efficient systems for the large scale acquisition, management, and analysis of mobility and consumption data become an enabling factor. We present a framework for collecting heterogeneous fleet-related data to generate reports about vehicle and fleet usage. Using this framework, we present an analysis of trips and charge intervals from one year of telemetry data gathered from a subset of a pilot electric vehicle fleet in northern Germany. We further investigate which factors are associated with differences of relative levels of energy usage per kilometer.