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    • 6. 发明申请
    • Method for control and monitoring using a state estimator having variable forgetting factors
    • 使用具有可变遗忘因素的状态估计器进行控制和监视的方法
    • US20060284600A1
    • 2006-12-21
    • US11272169
    • 2005-11-10
    • Mark Verbrugge
    • Mark Verbrugge
    • H02J7/00
    • H01M10/48G01R31/3651
    • A recursive algorithm is provided for adaptive multi-parameter regression enhanced with forgetting factors unique to each regressed parameter. Applications of this algorithm can include lead acid batteries, nickel-metal hydride batteries, and lithium-ion batteries, among others. A control algorithm is presented, having an arbitrary number of model parameters, each having its own time-weighting factor. A method to determine optimal values for the time-weighting factors is included, to give greater effect to recently obtained data for the determination of a system's state. A methodology of weighted recursive least squares is employed, wherein the time weighting corresponds to the exponential-forgetting formalism. The derived mathematical result does not involve matrix inversion, and the method is iterative, i.e. each parameter is regressed individually at every time step.
    • 提供了一种递归算法,用于通过每个回归参数唯一的遗忘因子增强自适应多参数回归。 该算法的应用可以包括铅酸电池,镍氢电池和锂离子电池等。 提出了具有任意数量的模型参数的控制算法,每个模型参数具有其自己的时间加权因子。 包括确定时间权重因子的最佳值的方法,以便对最近获得的用于确定系统状态的数据产生更大的影响。 采用加权递归最小二乘法的方法,其中时间权重对应于指数忘记的形式主义。 导出的数学结果不涉及矩阵求逆,该方法是迭代的,即每个参数在每个时间步长单独退化。