Composite electrode lithium-ion batteries can offer improved energy and power density, as well as increased cycle life compared to batteries with a single active material electrode. Both available power and cell life are functions of the local current allocated to each composite material, however there are no examples in literature of electrochemical-based models of composite electrode cells that are suitable for estimation and control. We present a reduced order, electrochemical model of a composite LiMn2O4 - LiNi1/3Mn1/3Co1/3O2 cell that predicts bulk and surface concentrations of each composite material, as well as the local current allocated to each material. Observability properties are analyzed by approximating the system as linear over certain operating conditions. A solution method is developed to use the model in an extended Kalman filter for online state of charge estimation, which is validated with experimental data.
展开▼
机译：与具有单个活性材料电极的电池相比，复合电极锂离子电池可提供更高的能量和功率密度，以及更长的循环寿命。可用功率和电池寿命都是分配给每种复合材料的局部电流的函数，但是在文献中没有基于电化学的复合电极电池模型的例子适合估算和控制。我们提出了一种复合LiMn 2 O 4 -LiNi 1/3 Mn 1/3 的降序电化学模型sub> Co 1/3 O 2 单元格，可预测每种复合材料的体积和表面浓度以及分配给每种材料的局部电流。通过在某些操作条件下将系统近似为线性来分析可观察性属性。开发了一种解决方法，可在扩展卡尔曼滤波器中使用该模型进行在线电荷状态估计，并已通过实验数据进行了验证。
展开▼
