E3S Web of Conferences, Год журнала: 2025, Номер 616, С. 03038 - 03038
Опубликована: Янв. 1, 2025
Electric vehicles (EVs) are revolutionizing the automotive industry due to their environmental benefits and economic advantages. However, EV design control present significant challenges, especially with regard optimizing battery management, energy efficiency, thermal control, cost. These challenges frequently feature non-linear relationships that traditional optimization techniques find difficult handle effectively. This paper benchmarks performance of selected algorithms in addressing critical problems, including charging strategies, energy-efficient driving management. The analysis is conducted a chronological manner, highlighting development from methods more sophisticated approaches. evaluated against key metrics, solution quality, convergence speed, computational cost, robustness, illustrating how advancements over time have effectively tackled associated electric vehicle (EV) operation scenarios. outlines strengths weaknesses various techniques, offers insights recommendations for effective application design. Future research directions include exploring hybrid adaptive approaches further improve performance.
Язык: Английский