PROPOSAL FOR THE ELECTRIC VEHICLE DRIVE SIMULATOR CONFIGURATION - CASE STUDY AND SIMULATION MODELLING

Road traffic remains a major contributor to carbon dioxide emissions, making innovative energy solutions essential. Electric vehicles (EVs) offer a promising alternative, however, current lithium-ion batteries face limitations in power output, energy density, and cost. To address these challenges, hybrid energy storage systems (HESS) combine batteries for energy storage with supercapacitors for rapid power delivery. In this study was explored an optimization tool for EV operation using HESS configurations and evaluates performance through MATLAB Simulink simulations across various driving cycles. The results highlight trade-offs between the performance, weight, and cost, which vary by vehicle class. While HESS improves energy efficiency and extends battery life, its complexity and expense limit feasibility for medium and high-class vehicles. Lower-class vehicles benefit most from this approach. Ultimately, tailored HESS designs adapted to specific driving conditions can enable more sustainable and efficient electric vehicles.

Authors

Publication Details

Journal
Communications - Scientific letters of the University of Zilina
Published
2026-01-16
DOI
https://doi.org/10.26552/com.c.2026.014
Primary Topic
Electric and Hybrid Vehicle Technologies
Type
article
Field-Weighted Citation Impact
0.00

Funders

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article

PROPOSAL FOR THE ELECTRIC VEHICLE DRIVE SIMULATOR CONFIGURATION - CASE STUDY AND SIMULATION MODELLING

Jan Marković, Pavol Špánik, Michal Frivaldský, Michal Frivaldský
Communications - Scientific letters of the University of Zilina
Electric and Hybrid Vehicle Technologies
article

PROPOSAL FOR THE ELECTRIC VEHICLE DRIVE SIMULATOR CONFIGURATION - CASE STUDY AND SIMULATION MODELLING

Jan Marković, Pavol Špánik, Michal Frivaldský, Michal Frivaldský
article en

Abstract

Road traffic remains a major contributor to carbon dioxide emissions, making innovative energy solutions essential. Electric vehicles (EVs) offer a promising alternative, however, current lithium-ion batteries face limitations in power output, energy density, and cost. To address these challenges, hybrid energy storage systems (HESS) combine batteries for energy storage with supercapacitors for rapid power delivery. In this study was explored an optimization tool for EV operation using HESS configurations and evaluates performance through MATLAB Simulink simulations across various driving cycles. The results highlight trade-offs between the performance, weight, and cost, which vary by vehicle class. While HESS improves energy efficiency and extends battery life, its complexity and expense limit feasibility for medium and high-class vehicles. Lower-class vehicles benefit most from this approach. Ultimately, tailored HESS designs adapted to specific driving conditions can enable more sustainable and efficient electric vehicles.

Communications - Scientific letters of the University of ZilinaVol. 28(1)
Vedecká Grantová Agentúra MŠVVaŠ SR a SAV
Affordable and clean energy
Openalex Percentile: Top 87%
Electric and Hybrid Vehicle Technologies
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