| 毛滢浙,吴丽娟,罗婧祎,张予宁.化学通报,2026,89(5):589-596. |
| 利用响应曲面法对锂离子电池循环寿命影响因素的研究 |
| Research on the Factors Influencing the Cycle Life of Lithium ion Batteries Using Response Surface Methodology |
| 投稿时间：2025-11-19 修订日期：2026-02-08 |
| DOI： |
| 中文关键词: 锂离子电池 放电深度 寿命预测 响应曲面法 |
| 英文关键词:Lithium ion battery discharge depth life prediction response surface methodology |
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| 摘要点击次数: 324 |
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| 中文摘要: |
| 动力锂离子电池的循环寿命与其使用工况息息相关,选择3.7V-48Ah软包锂离子电池为研究对象,选取电池的使用温度T(A)、SOC上限(B)、放电深度DOD(C)为使用应力,将充放电循环吞吐量(y瓦时)作为响应值指标,基于响应曲面法设计原理,利用Design-Expert软件设计DOE实验方案并进行电池充放电循环测试,获取以吞吐量表征的寿命数据,建立了关于电池寿命的二阶响应曲面模型,并对模型精度进行实验验证。对该模型的回归方程的方差、显著性及可视化结果进行分析,结果表明：单因素对于锂电池循环寿命影响的显著性排序,从大到小依次为使用温度T、SOC上限和放电深度DOD,且三因素之间的交互作用对于锂电池寿命的影响是不显著的。通过求解模型,在给定各应力因素水平范围内,得到电池最优使用策略为温度为22.23℃,放电深度为40%,SOC上限为81.14%,预测在最佳循环条件下充放电循环容量衰减20%时的电芯累积放电量值为775.273kWh,模型精度最大误差7.8%。 |
| 英文摘要: |
| The cycle life of power lithium-ion batteries is closely related to their operating conditions. A 3.7V-48Ah Pouch-type lithium-ion battery was selected as the research object, and the battery"s operating temperature T (A), SOC upper limit (B), and discharge depth DOD (C) were selected as the operating cases. The charge-discharge cycle throughput (y watt hours) was used as the response value index. Based on the response surface methodology design principle, a DOE experimental scheme was designed using Design Expert software and battery charge-discharge cycle testing was conducted to obtain life data characterized by throughput. A second-order response surface model about battery life was established, and the accuracy of the model was experimentally verified. The variance, significance, and visualization results of the regression equation of the model were analyzed, and the results showed that the significance ranking of the impact of single factors on the cycle life of lithium batteries, from highest to lowest, was the operating temperature T, charge depth DOC, and discharge depth DOD, and the coupling of the three factors had no significant effect on the life of lithium batteries. By solving the model, within the given range of case factor levels, the optimal usage strategy for the battery is obtained as a temperature of 22.23 ℃, a discharge depth of 40%, and an charge depth of 81.14%. The predicted cumulative discharge capacity of the battery under the optimal charge-discharge conditions is 775.273 kWh up to the capacity fade by 20%, with a maximum accuracy error of 7.8%. |
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