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This manuscript introduces a hybrid technique designed to enhance the simultaneous energy management (EM) of slow and fast-charge electric vehicles (EVs) within a smart parking lot. The proposed hybrid method combines the Archerfish Hunting Optimizer (AHO) and the Tree Hierarchical Deep. . The rapid development of energy storage devices has enabled the creation of numerous solutions that are leading to ever-increasing energy consumption efficiency, particularly when two or more of these storage systems are linked in a cascade and a hybrid mode. The various energy storage systems that. . EV charging is putting enormous strain on the capacities of the grid. To prevent an overload at peak times, power availability, not distribution might be limited. Our intelligent . . Researchers have now developed a new classical physics model that captures one of the most complex aspects of energy storage research – the dynamic nonequilibrium processes that throw chemical, mechanical and physical aspects of energy storage materials out of balance when they are charging or. . To address these issues, this study proposes a novel methodology for the allocation of both slow and fast charging stations, as well as distributed energy resources (DERs), considering smart charging. The objective of this approach is to minimize investment and operational costs associated with. . Energy storage systems are essential in modern energy infrastructure, addressing efficiency, power quality, and reliability challenges in DC/AC power systems. Recognized for their indispensable role in ensuring grid stability and seamless integration with renewable energy sources.