Samsurizal, An. Afandi, Mohamad Rodhi Faiz
Fast charging systems are an important component in supporting the penetration of electric vehicles (EVs). However, using high currents during fast charging often leads to an increase in overtemperature and accelerated battery degradation. This study proposes an optimization approach with the Thunderstorm Optimization Algorithm (TA) to dynamically regulate the charging current profile, to minimize thermal stress and extend battery life. The simulation model developed takes into account the thermal behavior and capacity degradation of lithium-ion batteries based on CHAdeMO parameters (400 V, 125 ~A, 71.4 kWh). The results showed that TA reduced the battery degradation rate to 1.84% compared to 2.25% in conventional methods. The energy received by the battery also increased to 70.8 kWh compared to 69.5 kWh. In addition, TA keeps the average battery temperature at 44.2 C, lower than 47.5 C in conventional methods. Although the charging time with TA is slightly longer, this approach has proven to be more effective in maintaining thermal stability and improving energy efficiency. This research shows that TA provides a more adaptive and sustainable fast charging solution. Further development directions include the application of TA in dynamic charging scenarios as well as its integration with Vehicle-to Grid (V2G) systems in the smart power grid. © 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
