AI Digital Upgrade for Energy Storage Full Lifecycle

This document, presented by Lu Zhongpei from GCL System Integration Technology Co., Ltd. in June 2025, discusses the AI digital intelligence upgrade for the full lifecycle of energy storage under a dynamic game framework. It covers four stages: solution planning, product design, operation architecture, and asset trading. The content highlights changes in the energy storage market, including localized cooling and intense competition, with global new installations expected to reach 265.1 GWh in 2025. Domestic and international policies are analyzed, such as the end of mandatory storage allocation and EU supply chain autonomy. Key pain points under full marketization include safety risks, efficiency bottlenecks, and revenue pressure. The document compares traditional methods with AI, emphasizing AI's superiority in speed, cost efficiency, and decision-making through real-time data processing, neural networks, and dynamic strategies. It aims to address inefficiencies in system architecture design, product design, construction management, and asset management, ultimately improving operational efficiency and market adaptability.