With the rapid development of renewable energy and the increasing demand for clean energy, the integrated photovoltaic storage charging station, as an important part of the energy system, is receiving increasing attention. This study aims to realize the intelligent energy optimization control of the energy storage system by combining photovoltaic power generation and charging load prediction, so as to maximize the energy utilization efficiency and economic benefits of the charging station. Firstly, this paper introduces the basic composition of the integrated photovoltaic storage charging station. Subsequently, an energy optimization control strategy based on PV power generation and load demand prediction is proposed. Through the accurate prediction of PV power generation, the system can adjust the energy storage and distribution strategy in advance. At the same time, combined with the charging load power prediction, the optimal scheduling of the energy storage system is realized to improve the energy utilization efficiency and maximize the net benefit of the charging station site. The experimental results show that by making full use of photovoltaic power generation and charging load prediction, and reasonably scheduling the power of the energy storage system, the charging station can achieve a better balance between energy supply and demand, thus maximizing the energy utilization efficiency and economic benefits, and providing useful guidance and reference for the future development of sustainable energy.