储能科学与技术 ›› 2024, Vol. 13 ›› Issue (1): 333-335.doi: 10.19799/j.cnki.2095-4239.2023.0921

• 储能系统与工程 • 上一篇    下一篇

基于多参数耦合模型的锂离子电池充电策略在智能物流系统中的研究进展

马浩(), 万丽丽()   

  1. 天津交通职业学院物流工程学院,天津 300110
  • 收稿日期:2023-12-19 修回日期:2023-12-28 出版日期:2024-01-05 发布日期:2024-01-22
  • 通讯作者: 万丽丽 E-mail:tjmahao@163.com;wanli1207@126.com
  • 作者简介:马浩(1984—),男,硕士,讲师,从事物流管理、邮政快递运营管理方面研究,E-mail:tjmahao@163.com

Research progress of lithium-ion battery charging strategy based on multi-parameter coupling model in intelligent logistics system

Hao MA(), Lili WAN()   

  1. Tianjin Transportation Technical College, Tianjin 300110, China
  • Received:2023-12-19 Revised:2023-12-28 Online:2024-01-05 Published:2024-01-22
  • Contact: Lili WAN E-mail:tjmahao@163.com;wanli1207@126.com

摘要:

为有效优化锂离子电池充电行为,避免智能物流系统过量消耗电力信号,针对基于多参数耦合模型的锂离子电池充电策略在智能物流系统中的应用展开研究。定义多参数耦合模型表达式,在此基础上,研究锂离子电池的充电行为,并对其进行调节,根据点电荷存储量,确定锂离子电池的最大储能水平,从而实现基于多参数耦合模型的锂离子电池充电特性分析,再以充电效率、电池安全性、智能化充电三个因素作为切入点,研究锂离子电池优化充电策略在智能物流系统中的可行性。

关键词: 多参数耦合模型, 电池充电, 物流系统, 电荷存储量

Abstract:

To effectively optimize the charging behavior of lithium-ion batteries and avoid excessive consumption of power signals in intelligent logistics systems, research is conducted on the application of lithium-ion battery charging strategies based on multi parameter coupling models in intelligent logistics systems. Define a multi parameter coupling model expression, and based on this, study the charging behavior of lithium-ion batteries and adjust it. Determine the maximum energy storage level of lithium-ion batteries according to the point charge storage capacity, thereby realizing the analysis of lithium-ion battery charging characteristics based on the multi parameter coupling model. Then, take charging efficiency, battery safety, and intelligent charging as the entry points, study the feasibility of optimizing charging strategies for lithium-ion batteries in intelligent logistics systems.

Key words: multi parameter coupled model, battery charging, logistics system, charge storage capacity

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