Average Mathematical Modeling of the Electric Cars Autonomy
The main objective of this work is to develop a highly parameterized model of the electric cars autonomy compatible to optimization algorithms. Control models are not recommended because they require a significant simulation time, which makes their integrations to optimization approaches unprofitable. In addition, these models need the change of the regulators parameters at each iteration. In this context, the present paper describes an average mathematical modelling approach of the electric cars autonomy with reduced simulation time. This approach offers the advantage of a significant reduction in simulation time of the autonomy model in relation to autonomy model based on control models. In conclusion, the average model of the autonomy validated by comparison to a control model is highly compatible with optimization approaches.