A Hybrid Engine Control System based on Genetic Algorithms

In this paper an optimal management of the energetic flows in a hybrid vehicle based on a Genetic Algorithm is introduced. The aim is maximize the use of the electric engine, minimizing the use of the internal combustion one, increasing the driving pleasure and reducing consumptions, emissions and noise. From the available literature, a typical configuration series-parallel hybrid engine as has been chosen. In particular the Toyota Prius engine has been taken as a practical reference. A Genetic Algorithm for optimal parameters identification of the control system (PID Controller) has been applied to hybrid engine. Moreover, the parameters which influence the optimal behavior of a hybrid vehicle have been selected and organized in a two levels control strategy: “High Level Optimization” and “Low Level Optimization”. Key-Words: Control Systems, Genetic Algorithms, PID Controllers, Power Management, Hybrid Engines.