Application of lithium battery health management strategy based on multi-parameter coupling model in intelligent logistics warehousing

ZHOU Jingjing; LI Xiang

doi:10.19799/j.cnki.2095-4239.2026.0210

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Application of lithium battery health management strategy based on multi-parameter coupling model in intelligent logistics warehousing

Energy Storage Test\: Methods and Evaluation | 更新时间：2026-07-01

- Application of lithium battery health management strategy based on multi-parameter coupling model in intelligent logistics warehousing
- Energy Storage Science and Technology Vol. 15, Issue 4, Pages: 1409-1411(2026)
- 作者机构：
  
  1.嵩山少林武术职业学院，河南登封 452470
  2.贵州财经大学，贵州贵阳 550000
  3.河南工业贸易职业学院，河南郑州 451191
- 作者简介：
- 基金信息：
- DOI：10.19799/j.cnki.2095-4239.2026.0210
  CLC： TM 912
- Received：12 March 2026，
  
  Revised：2026-04-09，
  
  Published：28 April 2026
- 稿件说明：
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周景景, 李翔. 基于多参数耦合模型的锂电池健康管理策略在智能物流仓储中的应用[J]. 储能科学与技术, 2026, 15(4): 1409-1411.

ZHOU Jingjing, LI Xiang. Application of lithium battery health management strategy based on multi-parameter coupling model in intelligent logistics warehousing[J]. Energy Storage Science and Technology, 2026, 15(4): 1409-1411.
周景景, 李翔. 基于多参数耦合模型的锂电池健康管理策略在智能物流仓储中的应用[J]. 储能科学与技术, 2026, 15(4): 1409-1411. DOI： 10.19799/j.cnki.2095-4239.2026.0210.

ZHOU Jingjing, LI Xiang. Application of lithium battery health management strategy based on multi-parameter coupling model in intelligent logistics warehousing[J]. Energy Storage Science and Technology, 2026, 15(4): 1409-1411. DOI： 10.19799/j.cnki.2095-4239.2026.0210.

摘要

随着智能物流仓储的快速发展，锂电池作为关键动力源，其性能与可靠性备受关注。本文聚焦基于多参数耦合模型的锂电池健康管理策略在智能物流仓储中的应用，在理论层次构建多参数耦合模型，综合考量锂电池的电化学、热学、力学等参数，实现对电池状态的精准评估。详细地阐述了该模型在电池健康状态监测、剩余寿命预测方面的应用，有效提升了锂电池在智能物流仓储中的安全性与稳定性，为优化物流仓储运营提供了有力支持。

Abstract

With the rapid development of intelligent logistics warehousing

as a key power source

the performance and reliability of lithium-ion batteries have received extensive attention. This paper focuses on the application of lithium-ion battery health management strategies based on multi-parameter coupling models in intelligent logistics warehousing. At the theoretical level

a multi-parameter coupling model is constructed

comprehensively considering parameters such as the electrochemistry

thermology

and mechanics of lithium-ion batteries to achieve accurate assessment of battery status. The application of this model in battery health status monitoring and remaining useful life prediction is elaborated in detail

effectively improving the safety and stability of lithium-ion batteries in intelligent logistics warehousing and providing strong support for optimizing logistics warehousing operations.

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references

李嘉奇. 锂电池健康状态估计及剩余使用寿命预测方法研究[D]. 沈阳: 沈阳工业大学, 2024.

LI J Q. Research on health status estimation and remaining useful life prediction methods for lithium batteries[D]. Shenyang: Shenyang University of Technology, 2024.

李建林, 彭禹宸, 王茜, 等. 锂离子电池建模研究现状与展望[J]. 发电技术, 2025, 46(5): 857-871.

LI J L, PENG Y C, WANG Q, et al. Research status and prospect of lithium-ion battery modelling[J]. Power Generation Technology, 2025, 46(5): 857-871.

李伟卓, 包志铭, 高清臣, 等. 基于显式格式的锂离子电池电化学-热耦合模型[J]. 工程热物理学报, 2025, 46(5): 1624-1633.

LI W Z, BAO Z M, GAO Q C, et al. An electrochemical-thermal coupling model for lithium ion batteries based on explicit scheme[J]. Journal of Engineering Thermophysics, 2025, 46(5): 1624-1633.

李元元. 基于数据驱动建模的锂离子电池健康管理研究[D]. 成都: 电子科技大学, 2021.

LI Y Y. Research on lithium-ion battery health management based on data-driven modeling[D]. Chengdu: University of Electronic Science and Technology of China, 2021.

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