Higher engineering education, as the main channel for cultivating high-quality technical talents and outputting innovative achievements, bears the responsibility of supporting the high-quality development of the solid-state battery industry. However, there are prominent synergy problems with the solid-state battery industry, such as disconnected talent supply and demand, lagging curriculum iteration, insufficient in-depth industry-university-research collaboration, and imperfect collaborative mechanisms. Based on grounded theory, this study takes the synergy between higher engineering education and the solid-state battery industry as the research object, collects relevant data through semi-structured interviews, literature analysis and case investigation, and uses NVivo 12 Plus software for coding analysis, including open coding, axial coding and selective coding. It systematically sorts out the core problems, influencing factors and internal logical relationships of the synergy between the two, and constructs a theoretical framework of synergy problems and countermeasures. The research finds that there are four core synergy problems: the disconnection between talent training objectives and industrial demand, the mismatch between curriculum system and industrial technology, the insufficient integration of scientific research and industrial needs, and the imperfection of the synergy guarantee mechanism. The root causes include the differences in the value orientation of universities and enterprises, the lack of effective communication channels, the inadequate policy support and the shortage of professional collaborative talents. Finally, corresponding countermeasures are proposed from the four aspects of optimizing talent training system, building a resource sharing platform, improving the collaborative mechanism and strengthening policy guidance, so as to provide theoretical support and practical reference for promoting the in-depth synergy between higher engineering education and the solid-state battery industry.
Haibo Xue (2026) studied this question.