التفاصيل البيبلوغرافية
| العنوان: |
基于区域直线距离的锂离子电池健康状态评估. (Chinese) |
| Alternate Title: |
Health status estimation of lithium-ion batteries based on regional linear distance. (English) |
| المؤلفون: |
胡厚鹏, 刘伟, 肖艳红, 欧家祥, 王力立 |
| المصدر: |
Chemical Engineering (China) / Huaxue Gongcheng; May2024, Vol. 52 Issue 5, p25-32, 8p |
| Abstract (English): |
The concepts of regional voltage and regional linear distance in the original charging curve were introduced and a battery SOH (state of health) estimation method based on regional linear distance was proposed. The battery SOH estimation models based on regional linear distance were established by using the charging voltage data of laboratory NCA (nickel-cobalt-aluminum) battery cell and LFP (lithium iron phosphate) battery module at 1/2C-rate and the battery operation data of a 20 kW/100 kW·h energy storage power station. The method based on regional linear distance LAB and the IC(incremental capacity) peak height method was compared, the results of LAB-SOH models under different sampling frequencies and regional voltages were also discussed. The results show that SOH and LAB have a linear positive correlation, and the linear goodness of fit can reach more than 0.96. The accuracy of SOH evaluation of LAB-SOH models is better than that of IC peak height method. Regional linear distance as a health factor improves the accuracy of battery SOH evaluation at low sampling frequency, which provides the possibility for online evaluation of battery SOH in engineering. [ABSTRACT FROM AUTHOR] |
| Abstract (Chinese): |
在原始充电曲线中引入区域电压和区域直线距离的概念, 并提出基于区域直线距离的电池 SOH (健康状态) 评估方法, 采用实验室条件下 NCA (镍钴铝)电池单体和 LFP (磷酸铁锂)电池模组在 1/2C 倍率下的充电电压数据 以及一座 20 kW/100kW·h 储能电站的电池运行数据, 来建立基于区域直线距离的电池 SOH 评估模型, 对比了基于 区域直线距离 LAB 的方法和 IC (增量容量)峰高法, 并考察了不同采样频率和区域电压下 LAB-SOH 模型的效果。结果 表明: SOH 与 LAB 呈线性正相关, 线性拟合优度可达到 0.96 以上, LAB-SOH 模型的 SOH 评估准确性均优于 IC 峰高法。 区域直线距离作为健康因子提高了低采样频率下电池 SOH 评估的准确性, 这为工程上储能电池的 SOH 在线评估提供 了可能性。 [ABSTRACT FROM AUTHOR] |
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| قاعدة البيانات: |
Complementary Index |