Battery Electric Vehicles (BEVs) are becoming increasingly popular on a global level and have a promising perspective towards a sustainable and environmental-friendly future in the transportation sector. This paper makes use of cognitive mobility elements and suggests a theoretical approach in that intercommunication of these elements creates a better distribution of BEVs in need of charge. The paper is organized as follows: Sect. 1 presents the existing literature and Sect. 2 briefly introduces the evolution of the charging infrastructure pointing out the existence of highly targeted charging areas and the infrastructure they lack. Section 3 suggests an innovative short-term approach for reducing charging waiting time done by identification of the most frequented charging stations and development of a payment-based booking interface system. Eventually, an AI-based approach is presented, which has the potential to optimize route algorithms by considering traffic circumstances, availability of charging stations and user preferences. Section 4 presents the results and concludes.