Energy storage system size optimization framework for electric vehicles
CoI: Dr. Hira Tahir, Dr. Ali Alawami, Dr. Ahmed Alahmed, Dr. Yasser Almoghathawi
The objective of this project is to devise a comprehensive energy storage system (ESS) optimization framework for electric vehicle (EV) applications to achieve cost-effectiveness and reliability of the system. We aim to enhance the economic and storage efficiency of the ESS as a multi-objective optimization problem and apply hybrid analytical-metaheuristic approach to strike the optimal trade-off among these multi-objectives. Uncertain energy requirement information as random patterns in EV demand will be considered to formulate an ESS optimization model. The proposed framework will determine optimal ESS size by devising an optimal trade-off between aforementioned conflicting objectives to improve economic and technical performance of the ESS with a focus on hybrid ESS configurations. The proposed model outcomes will be validated through sensitivity analysis and comparisons with existing research to ensure its effectiveness and reliability.
