创新创业理论研究与实践 ›› 2025, Vol. 8 ›› Issue (19): 15-17.

• 教学革新 • 上一篇    下一篇

AI在新能源汽车课程教学中的应用研究

樊丽丽1, 胡焰彬1, 吴文叶1, 郭国林1, 姚建红1, 曹晔2, 段慧娟2   

  1. 1.苏州工学院,江苏苏州 215500;
    2.山西农业大学,山西晋中 030801
  • 出版日期:2025-10-10 发布日期:2025-11-17
  • 作者简介:樊丽丽(1990—),女,山西吕梁人,博士研究生,讲师,研究方向:磁流变减振,电子邮箱:13770929870@163.com。
  • 基金资助:
    山西省教育厅高等学校教学改革创新项目“带科棋亭榭建造的虚拟仿真教学项目”(J20220314)

Research on the Application of AI in the Teaching of New Energy Vehicle Courses

FAN Lili1, HU Yanbin1, WU Wenye1, GUO Guolin1, YAO Jianhong1, CAO Ye2, DUAN Huijuan2   

  1. 1. Suzhou University of Technology, Suzhou Jiangsu, 215500, China;
    2. Shanxi Agricultural University, Jinzhong Shanxi, 030801, China
  • Online:2025-10-10 Published:2025-11-17

摘要: 在能源危机和“3060”“双碳”目标催动下,传统汽车课程教学模式难以满足学生对新知识的渴望和应用需求,应开展新能源汽车课程的教学。该文将AI(人工智能)融入新能源汽车课程的教学,并从个性化学习、智能评估和虚拟模拟等方面研究其在课程教学中的优势;同时,提出了基于AI的课程设计、智能教学平台开发、虚拟仿真实验系统建立和智能评估系统开发等可行性方案。研究表明:AI技术的应用不仅能够有效提升学生对新能源汽车课程学习的积极性,而且有利于培养新能源汽车领域具备更强竞争力的高素质人才。

关键词: AI, 新能源汽车, 课程教学, 个性化学习, 虚拟仿真, 智能评估

Abstract: Driven by the energy crisis and the“3060”“dual carbon”target, the traditional automotive course teaching mode is difficult to meet the need of students'desire and application of new knowledge,the teaching of new energy vehicle courses should be carried out. This article integrates AI into the teaching of new energy vehicle courses, and studies its advantages in course teaching from the aspects of personalized learning, intelligent evaluation, and virtual simulation. At the same time, feasible solutions such as AI based course design, development of intelligent teaching platforms, establish of virtual simulation experiment system, and developnet of intelligent evaluation systems were proposed. Research has shown that the application of AI technology can not only effectively enhance students'enthusiasm for learning new energy vehicle courses, but also help cultivate high-quality talents with stronger competitiveness in the field of new energy vehicles.

Key words: AI, New energy vehicles, Course teaching, Personalized learning, Virtual simulation, Intelligence evaluation

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