Design of Energy Management Strategy in Hybrid Vehicles by Evolutionary Fuzzy System Part I: Fuzzy Logic Controller Development

In this two-part paper presents an evolutionary fuzzy design method based energy management strategy for parallel hybrid electric vehicles. The proposed method consists of two steps. In the first phase, a fuzzy logic controller was employed to quantify the energy management system behavior. In the second stage, a genetic algorithm was used for fine-tuning the parameters of the fuzzy controller based on a goal of minimizing fuel consumption. We employed a novel method to cope with the difficulty often encountered in designing a fitness function. The simulation study reveals that the proposed "evolutionary fuzzy system" based energy management strategy provide a platform of new energy management system and gives improved performance of a parallel hybrid vehicle. In part I, the basic framework of energy management strategies is discussed and a detailed description of developing a fuzzy logic controller. The second stage work is presented in the second part of this paper