Energy Management Strategies for Hybrid Energy Storage System in Electric Vehicles: A Review

Praveena Krishna P. S., Jayalakshmi N. S., Akash Kedlaya

Research output: Chapter in Book/Report/Conference proceedingConference contribution

11 Citations (Scopus)

Abstract

This paper comprehensively explores the Energy Management Strategy (EMS) of a Hybrid Energy Storage System (HESS) with battery, Fuel Cell (FC) and a supercapacitor (SC) for the application of Electric Vehicles (EV). Improving the efficiency and effective utilization of the battery system in safe operating conditions is the main concern of the industry. This demands for improvement in the operating conditions of the battery through efficient EMS. The life cycle of the battery is also a major responsibility to be achieved in the prevailing research domain. There are several approaches to achieve these objectives out of which Adaptive Fuzzy Logic Control Strategy, Grey Wolf Optimization Technique and Pontryagin's Minimum Principle are discussed in detail. The impact of different control methods on the functioning of energy storage systems is analyzed and evaluated for practical operating conditions.

Original languageEnglish
Title of host publicationProceedings of CONECCT 2020 - 6th IEEE International Conference on Electronics, Computing and Communication Technologies
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728168289
DOIs
Publication statusPublished - 07-2020
Event6th IEEE International Conference on Electronics, Computing and Communication Technologies, CONECCT 2020 - Bangalore, India
Duration: 02-07-202004-07-2020

Publication series

NameProceedings of CONECCT 2020 - 6th IEEE International Conference on Electronics, Computing and Communication Technologies

Conference

Conference6th IEEE International Conference on Electronics, Computing and Communication Technologies, CONECCT 2020
Country/TerritoryIndia
CityBangalore
Period02-07-2004-07-20

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Networks and Communications
  • Hardware and Architecture
  • Electrical and Electronic Engineering
  • Control and Optimization

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