Design Issues of Hybrid Energy Storage Systems of Electric Vehicles According to Driving Profiles
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23220%2F25%3A43975958" target="_blank" >RIV/49777513:23220/25:43975958 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/document/10857387" target="_blank" >https://ieeexplore.ieee.org/document/10857387</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/OJVT.2025.3536176" target="_blank" >10.1109/OJVT.2025.3536176</a>
Alternative languages
Result language
angličtina
Original language name
Design Issues of Hybrid Energy Storage Systems of Electric Vehicles According to Driving Profiles
Original language description
This article examines the design challenges of hybrid energy storage systems (HESS) for electric vehicles (EVs), focusing on optimization based on driving profiles. Rising carbon dioxide emissions, especially in road traffic, require advanced energy solutions. In particular, electric vehicles offer great potential for reducing emissions in the transport sector. However, existing energy storage technologies such as lithium batteries have significant limitations in terms of power and energy density as well as cost efficiency, etc. To address these limitations, this study examines battery-SC hybrid systems, which represent a form of HESS. Using MATLAB Simulink, energy and power requirements are calculated for selected urban, combined, and motorway driving cycles. Based on the simulation results, which are obtained from mathematical vehicle dynamics models, this paper determines optimal configurations for battery and SC modules. Key findings highlight the trade-offs in performance, weight, and cost when designing HESS for varying vehicle classes. The study concludes that while HESS solutions significantly enhance energy efficiency and extend battery lifespan, their implementation remains complex and cost-intensive for medium and high-class vehicles. For lower-class vehicles, HESS offers an effective strategy to balance energy and power demands, contributing to sustainable transport solutions. The results provide important insights for the development of scalable and efficient hybrid storage systems that are designed for specific driving conditions.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
20201 - Electrical and electronic engineering
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
IEEE Open Journal of Vehicular Technology
ISSN
2644-1330
e-ISSN
2644-1330
Volume of the periodical
6
Issue of the periodical within the volume
January 2025
Country of publishing house
US - UNITED STATES
Number of pages
13
Pages from-to
619-631
UT code for WoS article
001434724800001
EID of the result in the Scopus database
2-s2.0-86000433828