Data for: Analysis and modeling of cycle aging of a commercial LiFePO4/graphite cell
收藏资源简介：
This data is from a comprehensive cycle aging study on a lithium-ion battery with a test duration of 29 months: Naumann, M. et al.; Analysis and modeling of cycle aging of a commercial LiFePO4/graphite cell; Journal of Power Sources (2020), Volume 451; DOI: 10.1016/j.jpowsour.2019.227666 This aging study presents cycle aging results of a commercial lithium-ion cell from a comprehensive, 29 month aging study and follows up on calendar aging results published previously [1]. We use a widely used commercial LiFePO 4 /graphite cell from Sony/Murata, which promises long calendar and cycle lifetime, that would make it suitable for stationary battery applications. The evolution of the cells’ capacity and impedance are shown in a static cycle aging study for 19 test points with different combinations of temperature, C-rate, depth of discharge and state of charge. Based on the measurement data shown herein and the calendar aging model presented in the previous paper, a semi-empirical combined aging model is presented for the capacity loss and resistance increase. Two dynamic load profiles are used to experimentally validate the combined aging model. Absolute model errors below 1% for the capacity loss and below 2% for the resistance increase in both dynamic load profiles demonstrate that the combined aging model can predict the lifetime of LiFePO 4 /graphite battery cells for different applications and varying operation conditions adequately. In the cycle experiments, an unexpectedly strong, but partly reversible capacity loss is observed with shallow cycles at medium states of charge.
本数据集源自一项针对锂离子电池的系统性循环老化研究，试验周期长达29个月，相关研究文献如下：Naumann M等人，《商用磷酸铁锂（LiFePO₄）/石墨电芯的循环老化分析与建模》，《Journal of Power Sources》，2020年，第451卷，DOI：10.1016/j.jpowsour.2019.227666。 本老化研究基于该项系统性29个月老化试验，给出了商用锂离子电芯的循环老化测试结果，并对此前发表的日历老化研究结果[1]进行了跟进。本次研究采用索尼/村田（Sony/Murata）量产的主流商用磷酸铁锂/石墨电芯，该类电芯具备优异的日历寿命与循环寿命，适用于固定式储能电池应用场景。 本次静态循环老化试验共设置19组测试工况，涵盖温度、充放电倍率（C-rate）、放电深度（Depth of Discharge）与荷电状态（State of Charge）的不同组合，完整呈现了电芯容量与阻抗的演化规律。 基于本文公布的试验数据与此前论文提出的日历老化模型，本研究构建了用于描述容量衰减与阻抗增长的半经验复合老化模型。 本研究采用两类动态负载工况对该复合老化模型开展实验验证。结果表明，在两类动态负载工况下，容量衰减的模型绝对误差均低于1%，阻抗增长的模型绝对误差均低于2%，证实该复合老化模型可精准预测不同应用场景与运行工况下磷酸铁锂/石墨电芯的使用寿命。 在循环试验过程中，研究人员观测到：当中等荷电状态下进行浅循环时，电芯会出现异常显著但部分可逆的容量衰减现象。
