ENHANCING ELECTRIC VEHICLE ENERGY MANAGEMENT THROUGH ANFIS-CONTROLLED HYBRID STORAGE SYSTEMS

Abstract

The introduction of Adaptive Neuro-Fuzzy Inference System (ANFIS) controllers into hybrid energy storage systems for electric vehicles (EVs) is the primary topic of this thesis. The goal of this thesis is to promote long-distance performance while simultaneously reducing operational expenses. Since electric vehicles (EVs) are becoming increasingly popular as a more ecologically friendly alternative to vehicles powered by internal combustion engines, it is of the utmost importance to optimize energy management in light of this trend. The vast majority of conventional energy storage systems are founded on either high-power ultracapacitors or high-energy batteries because of their superior energy storage capabilities. When it comes to energy density, power delivery, and cost, both of these forms of energy storage devices have their own unique collections of limitations. Through the utilization of a hybrid storage system that combines the benefits of ultracapacitors and batteries, the work that is being presented here is able to circumvent these limitations. Specifically, the primary focus of this research is on developing an ANFIS controller that is designed to optimize the state of charge and discharge cycles between these storage units based on the dynamic demands of the vehicle and the variables that are present in the environment. As a component of this research, the controller will be designed and put into motion. Increased energy economy, lower wear on components, and improved performance of the vehicle are all possible outcomes that can be achieved with this action. The validation of the suggested system is performed through simulation as well as through actual driving scenarios, which highlights significant improvements in comparison to control systems that have been utilized in the past. The results of this study indicate that ANFIS controllers have the potential to revolutionize energy management in electric vehicles, which would make these vehicles a more practical and cost-effective option for consumers.