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Intelligent Coordinated Control and Energy Management of Hybrid Energy Storage Systems for Vehicle Electrification

  • Bilal Khan*
  • , Zahid Ullah
  • , Giambattista Gruosso
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Hybrid Energy Storage Systems (HESSs), integrating batteries and supercapacitors, enhance the efficiency and longevity of electric vehicles (EVs). This paper proposes an optimization-based control and energy management strategy for HESS in EVs, combining Model Predictive Control (MPC) with fuzzy logic power allocation. The approach optimizes power distribution to minimize energy losses, extend battery lifespan, and ensure safe operation under a multi-objective framework. Validated in the Urban Dynamometer Driving Schedule (UDDS), the strategy reduces battery degradation by 10% and improves energy efficiency by 10% compared to the equal power split methods, promoting the operation of cost-effective and sustainable electric vehicles.

Original languageEnglish
Title of host publication2025 IEEE Vehicle Power and Propulsion Conference, VPPC 2025 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798331598464
DOIs
StatePublished - 2025
Event2025 IEEE Vehicle Power and Propulsion Conference, VPPC 2025 - Hangzhou, China
Duration: 22 Oct 202525 Oct 2025

Publication series

Name2025 IEEE Vehicle Power and Propulsion Conference, VPPC 2025 - Proceedings

Conference

Conference2025 IEEE Vehicle Power and Propulsion Conference, VPPC 2025
Country/TerritoryChina
CityHangzhou
Period22/10/2525/10/25

Bibliographical note

Publisher Copyright:
© 2025 IEEE.

Keywords

  • Electric Vehicles
  • Energy Management
  • Fuzzy Logic
  • Hybrid Energy Storage Systems
  • Model Predictive Control

ASJC Scopus subject areas

  • Fluid Flow and Transfer Processes
  • Energy (miscellaneous)
  • Energy Engineering and Power Technology
  • Renewable Energy, Sustainability and the Environment
  • Automotive Engineering
  • Electrical and Electronic Engineering

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