Proceedings of the 2nd International Conference on Industry 4.0 and Artificial Intelligence (ICIAI 2021)

Electric Vehicle Energy Management Strategy Geared to Smart Cities

Authors
Khadhraoui Ahmed1, *, Cherif Adnen1
1Laboratory of Electric and Energy Systems. Science Faculty of Tunis, University of Tunis Manar, Tunisia
*Corresponding author, email: ahmed.khadhraoui@fst.utm.tn
Corresponding Author
Khadhraoui Ahmed
Available Online 2 February 2022.
DOI
10.2991/aisr.k.220201.026How to use a DOI?
Keywords
Electric vehicle; modeling; Energy management; Electric storage
Abstract

The Electric Vehicle (EV) has shown potential for reducing pollution and conserving fuel. The solution saves gasoline, making developing the correct Energy Management Strategies (EMSs) for EVs difficult. Achieving effective power distribution requires meeting design requirements, which can be challenging. Due to the large number of EMSs presented in the literature, it is necessary to categorize them to correctly identify their design and control contributions, with an emphasis on fuel efficiency, power provisioning and real-time applicability. This study aimed to design and construct an EMS for EV powertrains. Indeed, electric vehicles use power electronic components and electric motors to manage energy flow between powertrain subsystems and supply the necessary torque and power to the wheels. The proposed subsystems generate undesired electrical harmonics on the DC bus of the powertrain. Conducting statistical analysis of the high rate of pollution and the increasing demand for electric vehicles seeks to manage energy consumption. The obtained findings established the recommended strategy’s credibility.

Copyright
© 2022 The Authors. Published by Atlantis Press International B.V.
Open Access
This is an open access article under the CC BY-NC license.

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Volume Title
Proceedings of the 2nd International Conference on Industry 4.0 and Artificial Intelligence (ICIAI 2021)
Series
Advances in Intelligent Systems Research
Publication Date
2 February 2022
ISBN
978-94-6239-528-2
ISSN
1951-6851
DOI
10.2991/aisr.k.220201.026How to use a DOI?
Copyright
© 2022 The Authors. Published by Atlantis Press International B.V.
Open Access
This is an open access article under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Khadhraoui Ahmed
AU  - Cherif Adnen
PY  - 2022
DA  - 2022/02/02
TI  - Electric Vehicle Energy Management Strategy Geared to Smart Cities
BT  - Proceedings of the 2nd International Conference on Industry 4.0 and Artificial Intelligence (ICIAI 2021)
PB  - Atlantis Press
SP  - 144
EP  - 150
SN  - 1951-6851
UR  - https://doi.org/10.2991/aisr.k.220201.026
DO  - 10.2991/aisr.k.220201.026
ID  - Ahmed2022
ER  -