大学化学

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基于Python编程的电化学测试教学方法设计与实践

翟冰倩, 叶建山   

  1. 华南理工大学化学与化工学院, 广东省燃料电池技术重点实验室, 广东 广州 510641
  • 收稿日期:2026-03-10 录用日期:2026-05-07
  • 通讯作者: 叶建山 E-mail:jsye@scut.edu.cn Jianshan Ye
  • 基金资助:
    华南理工大学教务处教研教改项目

Design and practice of a Python-based teaching approach for electrochemical testing

Bingqian Zhai, Jianshan Ye   

  1. Key Laboratory of Fuel Cell Technology of Guangdong Province, School of Chemistry and Chemical Engineering, South China University of Technology, Guangzhou 510641, Guangdong Province, China
  • Received:2026-03-10 Accepted:2026-05-07
  • Contact: Jianshan Ye E-mail:jsye@scut.edu.cn

摘要: 电化学实验是本科化学课程的重要组成部分。在传统实验教学中,学生通常通过商业电化学工作站设置参数完成测试,而测试方法的控制程序一般集成在仪器软件内部,相关实现过程在实验过程中并不直接呈现给学生。为增强学生对电化学测试方法实现机制的理解,本文提出一种基于Python编程和开源硬件的电化学实验教学方案。该方案以图形界面操作、程序结构分析和测试方法迁移为主要环节,引导学生在完成基础实验的同时,理解电位控制与信号采集的实现方式。所构建的教学平台支持循环伏安法、计时电流法及恒电流充放电等常用电化学测试方法,学生可通过修改激励信号函数实现不同测试方法之间的转换。该教学方案有助于培养学生程序化思维和跨学科分析能力,为电化学课程的数字化实验教学提供可推广的模式。

关键词: Python, 电化学测试, 课程设计, 学科交叉

Abstract: Electrochemical experiments constitute a fundamental component of undergraduate chemistry curricula. In conventional pedagogical approaches, students typically conduct tests by configuring parameters on commercial electrochemical workstations, while the underlying control algorithms remain embedded within the instrument software and remain opaque during experimental procedures. To enhance students' comprehension of electrochemical testing methodologies, this study proposes an innovative teaching framework utilizing Python programming and open-source hardware. The methodology incorporates three key elements: graphical interface operation, program structure analysis, and testing method adaptation, enabling students to comprehend potential control mechanisms and signal acquisition processes while performing fundamental experiments. The developed instructional platform accommodates prevalent electrochemical techniques including cyclic voltammetry, chronoamperometry, and galvanostatic charge-discharge measurements. Through mastering the core programming architecture, students can modify excitation signal functions to facilitate transitions between different electrochemical methods, thereby evolving from passive parameter users to active method developers. Pedagogical implementation demonstrates that this approach effectively promotes students' understanding of interconnections among diverse electrochemical techniques while cultivating computational thinking and interdisciplinary analytical competencies, thereby establishing a replicable paradigm for digitalized electrochemistry education.

Key words: Python, Electrochemical testing, Course design, Interdisciplinary approach