储能科学与技术 ›› 2024, Vol. 13 ›› Issue (11): 4056-4058.doi: 10.19799/j.cnki.2095-4239.2024.1019

• 储能系统与工程 • 上一篇    下一篇

人工智能技术在电池自动化生产线中的应用分析

任惠霞()   

  1. 广州市交通技师学院，广东 广州 510540
  • 收稿日期:2024-09-22 修回日期:2024-10-31 出版日期:2024-11-28 发布日期:2024-11-27
  • 作者简介:任惠霞（1966—），女，本科，高级讲师，主要研究方向为电气自动化，E-mail：13610188722@163.com。

Application analysis of artificial intelligence technology in battery automation production line

Huixia REN()   

  1. Guangzhou Communications technician institute, Guanzhou 510540, Guangdong, China
  • Received:2024-09-22 Revised:2024-10-31 Online:2024-11-28 Published:2024-11-27

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摘要：

人工智能技术在现代电池自动化生产中具有重要的作用，本文综述了人工智能技术对电池的自动化生产应用情况。文章首先分析了当前人工智能技术的研究进展，包括模型算法和算力方向。然后从自动化生产控制、生产智能化检测、预测性维护、环保生产等方向，重点论述了人工智能技术对电池自动化生产的改善，同时针对储能行业与人工智能技术的结合发展趋势进行分析总结。

关键词: 人工智能, 自动化, 生产, 算法

Abstract:

Artificial intelligence technology plays an important role in modern battery automation production. This article summarizes the application of artificial intelligence technology in battery automation production. The article first analyzes the current research progress of artificial intelligence technology, including model algorithms and computing power directions. Then, from the perspectives of automated production control, intelligent production testing, predictive maintenance, and environmentally friendly production, the improvement of artificial intelligence technology on battery automation production was emphasized. At the same time, the development trend of the combination of energy storage industry and artificial intelligence technology was analyzed and summarized.

Key words: artificial intelligence, automation, production, algorithm

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