Sep 2026· International Journal of Power Electronics and Drive Systems (IJPEDS)· 0 citations· 25 references
Abstract
Electric vehicles (EVs) offer a sustainable mode of transportation; however, excessive battery temperature rise during charging degrades performance, limits lifespan, and affects the safe operation of power converters and EV drive systems. To address this problem, a back propagation neural network (BPNN) based temperature prediction model is integrated with four nature-inspired optimization techniques (NIOTs): whale optimization algorithm (WOA), moth flame optimization (MFO), modified particle swarm optimization (MPSO), and grey wolf optimization (GWO), to optimize multi-stage charging current profiles. Among the evaluated methods, WOA achieves the best performance, reducing charging time by approximately 10% (11400 s to 10300 s) and average temperature rise by nearly 50% (3.9 °C to 1.9 °C) compared to the conventional constant current-constant voltage (CC-CV) strategy. The optimized charging currents directly support improved DC-DC converter operation and stable EV drive performance by limiting thermal stress and current transients. Overall, accurate thermal-aware charging enhances charging efficiency, ensures safe converter operation, and contributes to reliable and long-life EV battery and drive system performance.
This research proposes an optimized charging strategy for lithium iron phosphate (LiFePO₄) batteries by integrating the whale optimization algorithm (WOA) with a fuzzy logic controller (FLC) for adaptive constant current-constant voltage charging. The method addresses the limitations of conventional CC-CV charging, whi...
I. Sudiharto, Mochammad Machmud Rifadil, Ajeng Amelia Veganesa· International Journal of Pow...· 0 citations
The rapid growth of electric vehicles (EVs) has created significant challenges for the modernization of power systems, particularly in energy management, grid stability,
and infrastructure readiness.
This article presents a sophisticated energy management system (EMS) intended for a
photovoltaic (PV)-battery...
Hasan Wahhab Salih Rabee, A. Abdulsada, Sadeq Abdullah Shaban· Recent Advances in Electrica...· 0 citations
As electric vehicles (EVs) are rapidly increasing, the need for clean, efficient, and grid-independent EV charging stations is growing. Existing charging stations are prone to efficiency degradation, voltage fluctuation and low flexibility to changing solar irradiance. In this research, a PV-Storage-based EV charging i...
Prashant Singh Rajpoot, S. Singhai, Sharad Chandra Rajpoot· Journal of Renewable Energy...· 0 citations
The rapid expansion of Electric Vehicles (EVs) has sharply increased the demand for Electric Vehicle Charging Stations (EVCSs), which presents serious obstacles to system design, energy coordination, and operational efficiency. To address these challenges, this study introduces an advanced Energy Management System (EMS...
M. G. Hussien, Yasmine Marzouk Abo-Elyzeed, Abdelsalam A. Ahmed· Sustainability· 0 citations
The demand for reliable solar-powered electric vehicle (EV) charging stations has grown due to rapid transition towards sustainable electric mobility. This paper presents an advanced performance analysis of a 200 kWp grid-connected photovoltaic (PV) system installed at Prayagraj, India, comprising 363 monocrystalline m...
