Samsurizal, A.N. Afandi, Mohamad Rodhi Faiz
DC fast charging systems face challenges in adjusting charging speed, thermal management, and battery health support. Conventional strategies often prioritize charging but often compromise battery health due to critical warm corruption. This investigation assesses the adequacy of the Thunderstorm Algorithm (TA) as a metaheuristic approach to optimize DC fast charging. TA is outlined to powerfully direct the charging current to keep the greatest battery temperature under 45° C, reducing thermal stress. Simulations show that TA can preserve the State of Wellbeing (SoH) of the battery up to 98% after the charging handle is completed, compared to the routine strategy, which only achieves 92%SoH despite completing charging speedier (36 minutes compared to 44 minutes with TA). In expansion, the TA illustrated prevalent control proficiency by optimizing the control dissemination between 50 kW to 200 kW, whereas the routine strategy utilized 200 kW inactive control which expanded the warm stretch on the battery. These results confirm the TA's capacity to decrease battery degradation while guaranteeing way better thermal management., making it a costeffective alternative to existing fast-charging systems. This study makes a noteworthy commitment to the advancement of a more effective vitality administration system, bolsters the appropriation of renewable vitality, and energizes more secure and more solid fast charging operations. Assist inquiring about is required to test the execution of TA in real-world scenarios to move forward its versatility and execution on a more extensive extent of the vitality frameworks. © 2025 IEEE.
Universitas Negeri Malang, Faculty of Engineering, Department of Electrical Engineering and Informatics, Malang, Indonesia; Institut Teknologi PLN, Faculty of Electricity and Renewable Energy, Jakarta, Indonesia
