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

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.

Authors

Institutions

Publication Details

Published
2025-10-22
DOI
https://doi.org/10.1109/vppc66000.2025.11392983
Primary Topic
Electric and Hybrid Vehicle Technologies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Zahid Ullah, Bilal Khan, Giambattista Gruosso
Electric and Hybrid Vehicle Technologies
article

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

Zahid Ullah, Bilal Khan, Giambattista Gruosso
article en

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.

King Fahd University of Petroleum and Minerals (SA), Politecnico di Milano (IT)
Affordable and clean energy
Openalex Percentile: Top 38%
Electric and Hybrid Vehicle Technologies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Intelligent Coordinated Control and Energy Management of Hybrid Energy Storage Systems for Vehicle Electrification — Zahid Ullah, Bilal Khan, et al. · (2025) | TGRS Research Map | TGRS