scholarly journals A Novel Design on Hybrid Energy Storage System for an Electric Vehicle using NNFF Technology

2019 ◽  
Vol 8 (3) ◽  
pp. 3444-3448

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.

Author(s):  
Shaik Abdul Wajahat Tamanna

Abstract: Charging of electric vehicles have been a major problem as the charging stations are not installed every where, either we have to charge the vehicle at home or we should have to go to a charging point and it takes a lot of time. Addition of solar energy generation to electric vehicle will give the advantage of charging the vehicle while it is in parking. The overall performance and endurance of the battery of a electric vehicle can be improved by designing a PV based hybrid energy storage system with the magnetic integration of Bessel low pass filter to the DC-DC converter. The size of battery is reduced, endurance of the battery is also improved and the effectiveness of proposed method is validated by simulation. Keywords: Solar energy generation, hybrid-energy storage system, DC-DC converter, electric vehicle, endurance of the batter.


Author(s):  
Xing Zhang ◽  
Zuomin Dong ◽  
Curran Crawford

Onboard energy storage system (ESS) plays a major role for vehicle electrification. The performance of hybrid electric vehicle (HEV), plug-in HEV (PHEV), extended range electric vehicle (EREV), fuel cell vehicle (FCV), and electric vehicles (EV) heavily depends upon their ESS technology. The ESS must be able to store sufficient energy for adequate pure electric range, provide adequate peak power for needed vehicle performance under various driving cycles, absorb energy efficiently during regenerative breaking, and have long operation life and low costs. At present, pure battery based ESS often cannot effectively meet all these requirements due to many trade-offs. In order to improve the overall performance of ESS, integration of two (or more) energy sources have been studied to best utilize the unique characteristics of each, leading to a hybrid energy storage system (HESS). Hybridization of high-energy batteries and ultracapacitors with complementary characteristics present a common choice today. In this paper, the necessity and superiority of a HESS are illustrated considering system performance, efficiency, costs, functional life, and temperature requirements. Three major types of battery-ultracapacitor HESS, passive, semi-active and fully active, are presented. Various HESS control strategies proposed in the past are then reviewed, including rules or reference curves and tables based control, fuzzy logic control, and closed-loop control. Building upon these review and analyses, a novel control strategy based on signal separation using sparse coding is proposed at the end.


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