A Smart Mobility Platform for Electric Vehicles with Event Processing

Electric Vehicles (EV) are increasingly becoming the mainstream for the automotive industry. EV drives research in many diverse areas such as charging, battery performance, and autonomous driving. The volume, velocity and variety of data and events generated by a typical EV is very large. In this paper, we describe a hybrid architecture that consists of embedded and cloud-based modules to monitor and process EV event in near real-time, which is developed as a part of ITEA2 Smart M2M Grids Project [1]. The platform has a custom designed event processing hardware with network connectivity and module adapters to receive/transmit real time data such as those coming from the automotive Control Area Network (CAN) Bus. The platform includes software to apply rules and policies on real-time events. In this paper, we demonstrate its use with a simulation that includes a risk assessment scenario to check the reachabilities of nearest charging stations based on the current state of EV and observe the performance results.