<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>The paper presents a strategy of energy loss minimization within a hybrid energy storage system of an electrical vehicle, composed by a battery and a supercapacitor. The optimization of the power sharing between these energy storage devices is performed for the New European Driving Cycle, using the Particle Swarm Optimization algorithm. The minimum energy storage required to pass through the driving cycle is taken into account as a time-variable constraint during the optimization. The dimension of the search space increases with the dimension of the optimization vector, which has to be kept low in order to keep the complexity of the problem manageable. It is shown, that the subdivision, and piecewise optimization of the driving cycle improves the result by means of relaxation of the constraint represented by minimum level of the required energy storage.</p>
</abstract>

The paper presents a strategy of energy loss minimization within a hybrid energy storage system of an electrical vehicle, composed by a battery and a supercapacitor. The optimization of the power sharing between these energy storage devices is performed for the New European Driving Cycle, using the Particle Swarm Optimization algorithm. The minimum energy storage required to pass through the driving cycle is taken into account as a time-variable constraint during the optimization. The dimension of the search space increases with the dimension of the optimization vector, which has to be kept low in order to keep the complexity of the problem manageable. It is shown, that the subdivision, and piecewise optimization of the driving cycle improves the result by means of relaxation of the constraint represented by minimum level of the required energy storage.

Optimal Power Sharing Control of the Hybrid Energy Storage System of an Electric Vehicle Along a Standard Driving Cycle

Department of Electrical Machines and Drives, Faculty of Electrical Engineering

Department of Electrical Engineering, Faculty of Technical and Human Sciences

Sapientia-Hungarian University of Transylvania

Acta Universitatis Sapientiae, Electrical and Mechanical Engineering

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

The paper presents a strategy of energy loss minimization within a hybrid energy storage system of an electrical vehicle, composed by a battery and a...

Optimal Power Sharing Control of the Hybrid Energy Storage System of an Electric Vehicle Along a Standard Driving Cycle

Online veröffentlicht: 05. Jan. 2023

Seitenbereich: 50 - 64

Eingereicht: 15. Okt. 2022

Akzeptiert: 06. Dez. 2022

DOI: https://doi.org/10.2478/auseme-2022-0005

Schlüsselwörter
Particle swarm optimization, hybrid energy storage system, electric vehicle, constrained optimization, New European Driving Cycle

© 2022 János Ferencz et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Optimal Power Sharing Control of the Hybrid Energy Storage System of an Electric Vehicle Along a Standard Driving Cycle

Online veröffentlicht: 05. Jan. 2023

Seitenbereich: 50 - 64

Eingereicht: 15. Okt. 2022

Akzeptiert: 06. Dez. 2022

DOI: https://doi.org/10.2478/auseme-2022-0005

SchlüsselwörterParticle swarm optimization, hybrid energy storage system, electric vehicle, constrained optimization, New European Driving Cycle

© 2022 János Ferencz et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Schlüsselwörter
Particle swarm optimization, hybrid energy storage system, electric vehicle, constrained optimization, New European Driving Cycle