基于电热耦合效应的18650锂离子电池内外温度预测模型

doi:10.3901/JME.2023.16.342

机械工程学报 ›› 2023, Vol. 59 ›› Issue (16): 342-352.doi: 10.3901/JME.2023.16.342

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基于电热耦合效应的18650锂离子电池内外温度预测模型

谢家乐^1,2, 李增超¹, 王光^1,2, 姚天琪¹

1. 华北电力大学自动化系保定 071003;
2. 华北电力大学河北省发电过程仿真与优化控制技术创新中心保定 071003

收稿日期:2022-09-23 修回日期:2022-11-26 出版日期:2023-08-20 发布日期:2023-11-15
通讯作者: 谢家乐(通信作者),男,1987年出生,博士。主要研究方向为储能与动力电池系统智能管理与安全控制技术。E-mail:tellerxie@ncepu.edu.cn
作者简介:王光,男,1986年出生,副教授,博士研究生导师。主要研究方向为工业过程的故障诊断及安全评估。
基金资助:
中央高校基本科研业务费资助项目(2020MS118)。

Internal and External Temperature Prediction Models for 18650 Li-ion Battery Based on Electrical-thermal Coupled Effects

XIE Jiale^1,2, LI Zengchao¹, WANG Guang^1,2, YAO Tianqi¹

1. Department of Automation, North China Electric Power University, Baoding 071003;
2. Hebei Innovation Center of Simulation & Optimized Control for Power Generation, North China Electric Power University, Baoding 071003

Received:2022-09-23 Revised:2022-11-26 Online:2023-08-20 Published:2023-11-15

摘要/Abstract

摘要： 动力电池的热安全问题正受到学术界和工业界的广泛关注。电池系统的温度信息是制定高效热管理策略的重要参考。针对圆柱形锂离子电池，构建适用于嵌入式应用的低复杂度集总参数温度预测模型。首先，基于等效电路模型，将电池视为各向匀质体，利用基本的电热效应推导出温度预测质点模型。在此基础上，对电池的卷绕部和外壳进行区别研究，分别对表层散热、热传导时延以及可逆热效应进行细化建模，并对相关参数开展试验辨识，构建改进的分部模型以预测电池的核心（内部）和表层（外部）温度。最后，以18650锂离子电池为对象，在不同温度及负载条件下的试验结果表明，分部模型比之质点模型的温度预测性能有明显的改善，分部模型在多种不同工作条件下均能保持较高的可靠性；在混合脉冲激励条件下，经过10 min的开环仿真，分部模型温度预测误差约1℃。

关键词: 锂离子电池, 核心温度, 表层温度, 电热耦合, 温度预测模型

Abstract: The thermal safety of power batteries has been widely concerned by academia and industry. The temperature information of battery system is the essential reference to make efficient thermal management strategies. Specific to cylindrical batteries, lightweight lumped-parameter temperature prediction models are developed for embedded applications. Firstly, based on an equivalent circuit model, a mass-point（MP） temperature model is formulated according to basic electrical-thermal effects by regarding the cell as an isotropic homogeneous body. On this basis, the winding and shell parts of the cell are separately studied that surface heat dissipation,heat conduction delay and reversible heat are modeled in detail and related parameters are experimentally identified, thereby deriving an improved layered-divided（LD） temperature model to predict battery kernel（internal） and shell（external） temperatures. Finally,taking an 18650 li-ion battery as the object, experimental results under different temperatures and load conditions show that the temperature prediction performance of the LD model is obviously ameliorated in contrast to the MP model; the LD model can keep high reliability subject to various working conditions. Subject to hybrid pulse excitations, the max temperature error of the LD model is about 1 ℃ after 10 minutes of open-loop simulation.

Key words: lithium-ion battery, internal temperature, external temperature, electrical-thermal coupling, temperature prediction model

中图分类号:

TM911

谢家乐, 李增超, 王光, 姚天琪. 基于电热耦合效应的18650锂离子电池内外温度预测模型[J]. 机械工程学报, 2023, 59(16): 342-352.

XIE Jiale, LI Zengchao, WANG Guang, YAO Tianqi. Internal and External Temperature Prediction Models for 18650 Li-ion Battery Based on Electrical-thermal Coupled Effects[J]. Journal of Mechanical Engineering, 2023, 59(16): 342-352.

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基于电热耦合效应的18650锂离子电池内外温度预测模型

Internal and External Temperature Prediction Models for 18650 Li-ion Battery Based on Electrical-thermal Coupled Effects

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