Optimised Power Management Fuzzy Control for EV Hybrid Energy Storage System
Keywords:
EMS, ACO, PSO, FLC, HESS, ultra-capacitorAbstract
As a result of the complementary qualities that batteries and ultra capacitors possess, a hybrid energy storage system (HESS) that consists of a lithium-ion battery and an ultracapacitor has emerged as an effective solution for overcoming the limitations that are associated with single battery energy sources in electric vehicles (EVs), particularly when driving in urban environments. On the other hand, in order to ensure that the HESS operates effectively, an appropriate energy management strategy (EMS) is required. The purpose of this study is to offer an EMS that is based on fuzzy logic control (FLC) and is optimized through the utilization of particle swarm optimization (PSO) and ant colony optimization (ACO) techniques. The suggested method has as its primary objective the reduction of battery current stress and power peak variations. This will be accomplished by optimizing the tuning of the weighting coefficients of the defined FLC rules through the use of ACO/PSO algorithms. As a result, the capacity retention of the battery will be improved, and the lifespan of the battery will be extended.
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