Hypercar powertrain modelling for energy estimation and management

In the context of hybrid vehicle racing, the ability of team and driver of managing the amount of fuel and energy consumption, has an impact on the lap time and on the final position. Therefore, understanding how much a powered hybrid racing car consumes energy in specific racing scenarios and operating modes is the main investigation point. To this end, we propose to simulate a powertrain model for investigating the amount of energy usage of the electric motor and the internal combustion engine. Moreover, we estimate the model's parameters via a Non-Linear Least Square algorithm and an Extended Kalman Filter, both exploiting the data collected during track tests. An investigation of the energy mapping between fuel consumption and variation of state of charge is finally performed to understand which source of power is the more demanding. Moreover, an energy consumption analysis is conducted to understand what would be the best lap-by-lap energy saving policy for each of the available hybrid modalities.