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Artificial Neural Network-Based Battery Energy Storage System for Electrical Vehicle

  • Neha Kumari
  • Vani Bhargava
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 609)

Abstract

In this review paper, we studied and implementing techniques of HESS for EV. It is very important to perform EV. This is well performed in matlab simulation on EV For HESS consists Li-ion batteries, sup-cap, to charging and discharging the EV. Main controlling system is designed using ANN to performing to get their result by using PI controller. It reduces the calculation complexity of system by reducing the values of proportional constant and integral constant calculations. The neural network promotes self-learning of system and reduces fluctuation if any. An innovation for down to energy is the capacity to store any energy for short time and recover the energy.

Keywords

Energy storage system PI controller Artificial neural network 

References

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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • Neha Kumari
    • 1
  • Vani Bhargava
    • 1
  1. 1.Ajay Kumar Garg Engineering CollegeGhaziabadIndia

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