Data for: Analysis and modeling of cycle aging of a commercial LiFePO4/graphite cell

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.本数据集源自一项测试时长为29个月的锂离子电池综合循环老化研究：Naumann M. 等；《商用磷酸铁锂/石墨电池的循环老化分析与建模》；《电源学报》（Journal of Power Sources），2020年，第451卷；DOI: 10.1016/j.jpowsour.2019.227666。本研究呈现了一项历时29个月的综合老化试验中商用锂离子电池的循环老化结果，并对此前发表的日历老化研究成果[1]进行了跟进分析。本次研究采用索尼/村田（Sony/Murata）量产的主流商用磷酸铁锂（LiFePO4）/石墨电池，该类电池具备优异的日历寿命与循环寿命，可适配固定式储能电池应用场景。本静态循环老化试验设置了19组涵盖温度、充放电倍率（C-rate）、放电深度（Depth of Discharge, DOD）与荷电状态（State of Charge, SOC）的不同组合测试工况，展示了电池容量与阻抗的演化规律。基于本文披露的测试数据与此前论文中提出的日历老化模型，本文构建了一款用于描述容量衰减与阻抗上升的半经验复合老化模型。研究采用两组动态负载工况（dynamic load profiles）对该复合老化模型开展实验验证，结果显示，两组动态负载工况下的容量衰减模型绝对误差均低于1%，阻抗上升模型绝对误差均低于2%，表明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/石墨电池的服役寿命。在循环试验中，研究人员观测到一种反常的强可逆容量衰减现象，该现象出现在中等荷电状态下的浅循环工况中。