基于电化学阻抗谱和弛豫时间分析的铅酸电池老化状态诊断研究

张馨怡; 刘巍; 陈德波; 寿泽冰; 程豪; 陆盈盈

doi:10.19799/j.cnki.2095-4239.2025.0988

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基于电化学阻抗谱和弛豫时间分析的铅酸电池老化状态诊断研究

储能测试与评价 | 更新时间：2026-07-01

- 基于电化学阻抗谱和弛豫时间分析的铅酸电池老化状态诊断研究
- Aging diagnosis of lead-acid batteries based on electrochemical impedance spectroscopy and relaxation time analysis
- 储能科学与技术 2026年15卷第4期页码：1425-1437
- 作者机构：
  
  1.浙江大学化学工程与生物工程学院，浙江杭州 310027
  2.阿里云计算有限公司，浙江杭州 310024
- 作者简介：
  
  张馨怡（2000—），女，硕士研究生，研究方向为电池寿命预测、无损检测，E-mail：zhangxinyizxy@zju.edu.cn；
  陆盈盈，教授，研究方向为锂离子电池、电化学催化转化、新型电池，E-mail：yingyinglu@zju.edu.cn。
- 基金信息：
  
  国家自然科学基金(22578392);阿里巴巴创新研究计划(31881498 CRS71DHZ11240002)
- DOI：10.19799/j.cnki.2095-4239.2025.0988
  中图分类号： TM 912
- 收稿：2025-11-03，
  
  修回：2025-12-25，
  
  纸质出版：2026-04-28
- 稿件说明：
移动端阅览
张馨怡, 刘巍, 陈德波, 等. 基于电化学阻抗谱和弛豫时间分析的铅酸电池老化状态诊断研究[J]. 储能科学与技术, 2026, 15(4): 1425-1437.

ZHANG Xinyi, LIU Wei, CHEN Debo, et al. Aging diagnosis of lead-acid batteries based on electrochemical impedance spectroscopy and relaxation time analysis[J]. Energy Storage Science and Technology, 2026, 15(4): 1425-1437.
张馨怡, 刘巍, 陈德波, 等. 基于电化学阻抗谱和弛豫时间分析的铅酸电池老化状态诊断研究[J]. 储能科学与技术, 2026, 15(4): 1425-1437. DOI： 10.19799/j.cnki.2095-4239.2025.0988.

ZHANG Xinyi, LIU Wei, CHEN Debo, et al. Aging diagnosis of lead-acid batteries based on electrochemical impedance spectroscopy and relaxation time analysis[J]. Energy Storage Science and Technology, 2026, 15(4): 1425-1437. DOI： 10.19799/j.cnki.2095-4239.2025.0988.

摘要

铅酸电池作为数据中心后备电源的关键部件，在长期浮充工况下易发生硫酸盐化、板栅腐蚀等老化现象，导致容量衰减和早期失效，传统的内阻测试方法难以准确评估其健康状态。为此，本研究提出一种基于电化学阻抗谱(electrochemical impedance spectroscopy，EIS)与弛豫时间分布(distribution of relaxation times，DRT)的联合分析方法，系统研究浮充状态下铅酸电池的老化机制。实验选取GFM-360E阀控式铅酸电池，涵盖未服役、服役合格与服役不合格3类老化状态，在不同荷电状态(state of charge，SOC)下进行EIS测试，并利用DRT技术对阻抗数据进行反卷积解析，提取欧姆电阻(

ohm

)、特征峰位(P1~P4)及峰面积等关键参数。研究结果表明，EIS曲线在低频区出现扩散斜线、DRT谱图中P3与P4峰耦合形成宽大巨峰(峰面积大于150%)、

ohm

增幅超过30%等特征，可有效识别活性物质硫酸盐化、电解液干涸与板栅腐蚀等老化模式。通过构建“同SOC不同老化状态”与“同老化状态不同SOC”的对比分析框架，建立了基于EIS-DRT的老化判定指标体系，实现了对铅酸电池老化状态的多维度量化诊断。本方法克服了传统等效电路模型的主观性，提升了老化判断的精度与可靠性，为浮充场景下铅酸电池的精准健康管理提供了有效的技术手段。

Abstract

As key components of backup power systems in data centers

lead-acid batteries are prone to sulfation

grid corrosion

and other aging phenomena under long-term float charge conditions

resulting in capacity attenuation and early failure. The traditional internal resistance test method cannot accurately evaluate the health status of acid-lead batteries. Therefore

a joint analysis method based on electrochemical impedance spectroscopy (EIS) and the distribution of relaxation times (DRT) is proposed to systematically study the aging mechanism of lead-acid batteries under float charge conditions. The GFM-360E valve-regulated lead-acid battery was selected for the experiments

which covered three aging states: not in service

qualified in service

and unqualified in service. EIS measurements were conducted at different states of charge (SOC). Subsequently

DRT was used to deconvolute the impedance data and extract the ohmic resistance (

ohm

)

characteristic peak positions (P1—P4)

peak areas

and other key parameters. The results show that the EIS curve exhibits a diffusion slant in the low-frequency region

coupling the P3 and P4 peaks in the DRT spectrum to form a wide giant peak (peak area

150%)

and an increase of

ohm

of more than 30%. These can effectively identify aging modes such as the sulfation of active substances

electrolyte drying

and grid corrosion. By constructing the comparative analysis framework of "different aging states with the same SOC" and "different SOC values with the same aging state

" the aging judgment index system based on EIS-DRT was

established

and the multi-dimensional quantitative diagnosis of the aging state of lead-acid batteries was realized. This method overcomes the subjectivity of the traditional equivalent circuit model

improves the accuracy and reliability of aging predictions

and provides an effective technical means for the precise health management of lead-acid batteries under floating charge conditions.

关键词

Keywords

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