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Method for estimating the capacity of power groups of batteries using advanced techniques of forecasting model of cell.

机译:一种使用先进的电池模型预测技术估算电池组功率的方法。

摘要

Method for estimating the capacity of power groups of batteries using advanced techniques of forecasting model of the cell.The present invention relates to a method and an apparatus for estimating the power of the loading and unloading of applications with batteries.Including groups of batteries used in hybrid electric vehicles (veh) and electric vehicles (EV).An estimation method of power load / unload incorporates design requirements such as voltage, state of charge (EOC), power and current.And it works for a time horizon of prediction 30 t specified by the user.At least two cell models are used in the calculation of the maximum power of loading / unloading based on a voltage range.The first is a model of simple cell which uses a Taylor series expansion to linearize the equation involved.The second is a model more complex and accurate models the dynamics of the cell in the form of state space of discrete.The model of the cell can include entries such as temperature, resistance, capacity, etc.An advantage of using the model-based approach is that the model can be used in Kalman filtering to produce the EDC as the estimation of the maximum current charge / discharge based onIn a voltage range.
机译:使用先进的电池模型预测技术来估计电池组功率的方法。本发明涉及一种用于估计带有电池的应用的装卸功率的方法和装置。混合动力电动汽车(veh)和电动汽车(EV)。电力负载/空载的估算方法结合了设计要求,例如电压,充电状态(EOC),功率和电流,并且适用于预测的时间范围<用户指定的> 30> t。至少两个单元模型用于基于电压范围计算加载/卸载的最大功率。第一个是简单单元模型,其使用泰勒级数展开来线性化第二个是更复杂,更精确的模型,以离散状态空间的形式对电池动力学进行建模。电池模型可以包括温度,电阻,使用基于模型的方法的优势在于,该模型可用于卡尔曼滤波中以产生EDC,作为基于电压范围内最大电流充电/放电的估计。

著录项

  • 公开/公告号BRPI0416652A

    专利类型

  • 公开/公告日2007-01-16

    原文格式PDF

  • 申请/专利权人 LG CHEM LTD.;

    申请/专利号BR2004PI16652

  • 发明设计人 GREGORY L. PLETT;

    申请日2004-11-19

  • 分类号H02J7/00;

  • 国家 BR

  • 入库时间 2022-08-21 20:59:27

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