Abstract: With the advancement of China’s “dual carbon” strategy and the rapid development of artificial intelligence technologies, the energy storage industry faces growing demand for high-quality interdisciplinary professionals. Traditional courses on energy storage materials and devices encounter challenges including outdated knowledge systems, disconnection between theory and practice, and inadequate cultivation of students' innovative capabilities. Guided by the Outcome-Based Education (OBE) concept, this study systematically develops a novel curriculum system incorporating knowledge graphs and AI technologies across five dimensions: course objectives, content design, teaching methodologies, evaluation systems, and faculty development. By integrating intelligent technologies such as knowledge mapping, virtual simulation, and big data analytics, the proposed framework enables dynamic content updates, personalized teaching processes, blended virtual-physical practical training, and precise learning assessment, thereby providing an effective approach for cultivating innovative talents to meet the evolving needs of the energy storage industry.

Key words: Energy storage materials and devices, Artificial intelligence, Curriculum development, Teaching reform, Outcome-Based Education (OBE)