Data Analytics in Electric Vehicles

Abstract

Data analytics techniques are used to process the massive amounts of data produced by smart grid and electric vehicle technologies. Electric vehicles collect data from various sources, including sensors and trip records. Big data techniques can be used to analyze this immense quantity of data, which can then be used to implement rules for charging station placing, creating smart charging algorithms, addressing energy efficiency issues, evaluating the competence of power distribution systems to handle supplementary charging loads, and finally, forecasting the market effectiveness of the assets supplied by powered mobility. This chapter's data analytics landscape assessment addresses the incorporation of electric vehicles with green, smart urban environments. It serves as a blueprint for the objectives and alternatives for the incorporation of electric vehicles into smart future cities.