Model-based state of charge estimation and observability analysis of a composite electrode lithium-ion battery
Model-based state of charge estimation and observability analysis of a composite electrode lithium-ion battery
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基于模型的复合电极锂离子电池荷电状态估计和可观测性分析
DOI：
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发表时间：
2013
期刊：
影响因子：
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通讯作者：
Ted Miller
中科院分区：
文献类型：
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作者：
Alexander Bartlett;James Marcicki;S. Onori;G. Rizzoni;X. Yang;Ted Miller
与单一活性材料电极的电池相比，复合电极锂离子电池可以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，然而，在文献中没有适合于估计和控制的基于电化学的复合电极电池模型的例子。我们提出了一个复合LiMn2O4-LiNi1/3Mn1/3Co1/3O2电池的降阶电化学模型，该模型预测了每种复合材料的体积浓度和表面浓度，以及分配给每种材料的局部电流。通过在一定的运行条件下将系统近似为线性来分析可观测性。提出了一种将该模型用于扩展卡尔曼滤波在线估计荷电状态的方法，并用实验数据进行了验证。
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.