International Journal of Recent Technology and Engineering (IJRTE) ISSN: 2277-3878, Volume-8 Issue-3, September 2019 3444 Published By: Blue Eyes Intelligence Engineering & Sciences Publication Retrieval Number: C5071098319/2019©BEIESP DOI:10.35940/ijrte.C5071.098319 A Novel Design on Hybrid Energy Storage System for an Electric Vehicle using NNFF Technology Roshni Lal, Abhishake Jain Abstract: As each day passes, we, humans, are attracted towards more and more technology for the easiness of our day to day life. One such technology, which has a very high scope in future and in the aspect of reducing pollution and providing clean environment, is the use of electric vehicles. Moreover, the electric vehicles provides long distance endurance and it is really minimizes the cost. This paper mainly discusses about the use and benefit of hybrid energy storage system for electric vehicle with the help of Neural Network Fitting Function technology, which is based on a controller. At last, comparison between graphs of a base model and the proposed model is also shown, which clearly shows reduction in variation of the battery current, super capacitor, load current and dc voltage graph. Keywords: Battery, Electric Vehicles, Hybrid Energy Storage System, Neural Network Fitting Function, Ultra Capacitor. I. INTRODUCTION Due to an increasing pollution and an effort to provide a clean environment, the government and the automobile manufacturers are focusing their works on the development of electric vehicles which uses greener propulsion solutions. In this paper, we will be discussing about Hybrid Energy Storage System (HESS) of Electric Vehicles (EV). HESS uses one or more energy storage mechanism with supplementary operational characteristics [2]. Many technologies have been invented in recent years to reduce the use of fuels in vehicles which leads to pollution and one such technology is the usage of energy storage system in electric vehicles. These EV uses Li-ion batteries because of its advantages. In this paper, we will be discussing about HESS containing Li-ion batteries and Ultra Capacitors (UC) in electric vehicles to make it comparable to fuel vehicles with respect to long distance endurance, fast transient acceleration and energy. While developing the electric vehicles, it is necessary to make sure to reduce the size and weight of battery used in order to extend the charging rate and capacity of the battery. In Hybrid Energy Storage System (HESS), DC/DC converters plays an important role. For the HESS, it is very important to select a satisfactory energy management (EM) strategy. And the one we used in this paper is the Neural Network Fitting Function technology. Revised Manuscript Received on September 15, 2019 Roshni Lal , Department of Power System Engineering, Ganga Institute of Technology and Management, Jhajjar,Haryana, India. Email: lal.roshni61@gmail.com Abhishake Jain, Assistant Professor, Electrical Engineering Department, Ganga Institute of Technology and Management, Jhajjar, Haryana, India. Email: jain.abhishake@gmail.com The main objective of this paper is to compare the base paper model which used PI controllers to detect and correct errors in the graph and the proposed model which uses Neural Network Fitting Function technology which used layers to reduce the errors and thus provides a smooth and accurate waveform by reducing the glitches. The difference in the waveform of both the base model and the prosed model is also shown in this paper. Our government and the automobile manufacturers are more focused on the adoption of electric vehicle as a way to cut down on greenhouse gas emissions. As the scope for the electric vehicles are increasing in the future, there are different technologies invented for the best use of electric vehicles and one such technology is the use of NNFF controller. II. HYBRID ENERGY STORAGE SYSTEM TOPOLOGY By the term hybrid means combination of two or more things. In this case, Hybrid Energy Storage System (HESS) refers to the useful coupling of two or more than two energy storage technologies with the supplementary in operation characteristics. The topology of hybrid energy storage system used in the base paper is shown in fig 2.1[1]. The below figure explains the working of HESS for electric vehicle. By the term electrical in electrical vehicle means we need dc output. The term hybrid in hybrid energy storage system means we are taking storage from more than one system in order to store the energy. Fig 2.1 : Topology used in Hybrid energy Storage System[2]