储能科学与技术 ›› 2024, Vol. 13 ›› Issue (5): 1751-1753.doi: 10.19799/j.cnki.2095-4239.2024.0357

• 储能产经 • 上一篇    下一篇

新能源汽车电池智能制造工艺的创新与优化研究

罗泽飞1,2(), 覃元庆2   

  1. 1.湖南师范大学教育科学学院，湖南 长沙 410081
    2.河池市职业教育中心学校，广西 河池 547000
  • 收稿日期:2024-04-23 出版日期:2024-05-28 发布日期:2024-05-28
  • 通讯作者: 罗泽飞 E-mail:13307784469@163.com;@163.com
  • 作者简介:罗泽飞（1984—），男，本科，高级讲师，研究方向为新能源汽车专业教学， E-mail： 13307784469@163.com。
  • 基金资助:
    2022年教育部高等学校科学研究发展中心专项课题(ZJXF2022303)

Research on the Innovation and optimization of smart manufacturing processes for new energy vehicle batteries

Zefei LUO1,2(), Yuanqing QIN2   

  1. 1.School of Education Science, Hunan Normal University, Changsha 410081, Hunan, China
    2.Hechi Vocational Education Center School, Hechi 547000, Guangxi, China
  • Received:2024-04-23 Online:2024-05-28 Published:2024-05-28
  • Contact: Zefei LUO E-mail:13307784469@163.com;@163.com

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摘要：

未来二十年，我国新能源汽车动力电池产业发展至关重要，应开展电池关键技术突破研究，实施电池系统短板技术攻关，为电池产业的规模化、数字化和智能化创设一条可行路径。本文分析了动力电池智能制造的背景和需求，梳理以高强度、高安全、轻量化、低成本为目标的电池制造工艺目标，从闭环控制架构、智能数字字典、知识管理与决策等角度提出新能源汽车电池智能制造的思路和策略，旨在优化工艺，实现更高效率的生产控制和更高质量的加工工艺，进一步推动动力电池创新生产。

关键词: 新能源汽车, 动力电池, 工艺优化, 智能制造

Abstract:

In the next twenty years, it is crucial for the development of China's new energy vehicle power battery industry. Research on breakthroughs in key battery technologies should be carried out, and breakthroughs in battery system shortcomings should be implemented to create a feasible path for the scale, digitization, and intelligence of the battery industry. This article analyzes the background and requirements of intelligent manufacturing of power batteries, outlines the battery manufacturing process goals with high strength, high safety, lightweight, and low cost as the goals, and proposes ideas and strategies for intelligent manufacturing of new energy vehicle batteries from the perspectives of closed-loop control architecture, intelligent digital dictionary, knowledge management and decision-making. The aim is to optimize the process, achieve more efficient production control, and higher quality processing technology, further promote innovative production of power batteries.

Key words: new energy vehicles, battery, process optimization, intelligent anufacturing

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