1.沈阳工业大学电气工程学院,辽宁 沈阳 110870
2.中国电力科学研究院有限公司,北京 100192
颜宁(1988—),女,博士,副教授,研究方向为储能系统优化配置,E-mail:yanning@sut.edu.cn。
收稿:2026-06-02,
修回:2026-06-23,
纸质出版:2026-10-28
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颜宁, 韩永强, 任自艳, 等. 能源数字化转型下智慧储能微专业建设与产教融合实践[J]. 储能科学与技术, 2026, 15(10): 4226-4233.
YAN Ning, HAN Yongqiang, REN Ziyan, et al. Smart energy storage micro-major development and industry-education integration practice under energy digital transformation[J]. Energy Storage Science and Technology, 2026, 15(10): 4226-4233.
颜宁, 韩永强, 任自艳, 等. 能源数字化转型下智慧储能微专业建设与产教融合实践[J]. 储能科学与技术, 2026, 15(10): 4226-4233. DOI: 10.19799/j.cnki.2095-4239.2026.0479.
YAN Ning, HAN Yongqiang, REN Ziyan, et al. Smart energy storage micro-major development and industry-education integration practice under energy digital transformation[J]. Energy Storage Science and Technology, 2026, 15(10): 4226-4233. DOI: 10.19799/j.cnki.2095-4239.2026.0479.
在能源数字化转型和新型电力系统加快推进的背景下,储能技术与信息技术、智能控制和系统集成深度融合,对复合型工程人才培养提出了更高要求。针对传统能源类课程体系在储能电池核心技术覆盖、能源数据分析训练和工程项目牵引方面存在的不足,本研究以智慧储能微专业为对象,提出面向产业需求的课程体系与产教融合实践路径。首先,围绕储能技术、能源管理、智能优化和系统集成构建模块化课程体系,形成基础认知、核心技术及综合实践的递进式培养链条;其次,依托现代产业学院和工程实践平台,引入电池储能电站设计、BMS开发、储能系统建模仿真与优化调度等典型项目,推动课堂教学、课程设计和企业案例训练衔接;最后,通过问卷反馈和课程评价对试点效果进行分析。结果表明,该路径能够完善学生知识结构,提升建模仿真、系统分析与工程实践能力,为能源数字化转型背景下微专业建设提供参考。
As energy digital transformation and new-type power systems rapidly develop
energy storage technologies are increasingly integrated with intelligent control and information systems
necessitating new frameworks for interdisciplinary engineering training. To address the limitations of traditional energy-related curricula in battery energy storage
data analysis
and project-based training
this study introduces a smart energy storage micro-major featuring a curriculum system and industry-education integrated training pathway. Firstly
a modular curriculum is established around energy storage
management
intelligent optimization
and system integration. Secondly
utilizing a modern industry and engineering practice platform
typical projects such as battery storage power station design
BMS development
system simulation
and optimal scheduling are introduced to strengthen the connection between classroom teaching
course design
and enterprise case training. Finally
the pilot program is evaluated through questionnaire feedback and course assessments. The results show that this approach can enhance students' knowledge structure and improve their capabilities in modeling and simulation
system analysis
and engineering practice
providing a reference for the micro-major development in the context of energy digital transformation.
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