Experimental Observation and Validation of EV Model for Real Driving Behavior

Environmental policies and commitment is forcing a strong push towards electrification of human activities. Efforts are oriented to progressively dismiss old and outdated Internal Combustion Engines, replacing oil energy sources with electricity vectors. An important switch is involving transportation sector, responsible for 16% of global emissions produced, where the electrification process is converting the private mobility to the use of more sustainable electric vehicles. The drawbacks related to the battery capacity and range is limiting the diffusion among the whole territory, especially where a lack of charging infrastructure is persistent. Therefore, a focus on the adopted driving behaviour must be set to carry benefits in energy saving and potentially extending range. The present paper provides an analysis on different driving behaviour based on real-world data. An experimental campaign is described to acquire different driving styles during test-runs on a real route. An electric vehicle model is also developed in parallel and validated on the real dataset. A test route is identified in the southern region of Puglia in Italy, centered around the city of Lecce, and altitude and speed profiles are acquired and processed into the model. Test-runs were first clustered based on the driver type, then according to the level of auxiliary power consumption. Then, with the help of EV model, a more detailed analysis could be set to retrieve meaningful motivations behind the trends gathered between the two driving styles, especially focusing on the type of road. Results allowed to extrapolate trends between energy consumption and driving styles, showing a considerable impact on the battery usage. A +5% SoC is estimated if an aggressive driving style is adopted, while the impact of auxiliary power is predominant with an eco-driving style, taking into account uneven testing conditions.