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State of Charge Estimation Based on a Composite Method for Power Lithium Battery

机译:基于电锂电池复合方法的充电估算状态

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The state of change (SOC) is used to describe the remaining capacity of battery and its accuracy is very important for power battery. In this paper, according to the composite method, the dynamic system model is established, combining with the ampere hour integral method revised by the compensating factor and the equivalent circuit model. After that, the system state equation and observation equation is introduced. At the same time, the Kalman filtering achieves the minimum error of SOC estimation value. The SIMULINK tool is used to establish the mathematical model of dynamic system. The simulation results show that the composite method can monitor the battery SOC in real-time. Its accuracy can keep the error within 4 %, which is good practical value in the estimate of power battery SOC under the complex operating condition.
机译:改变状态(SOC)用于描述电池的剩余能力,其精度对于电力电池非常重要。本文根据复合方法,建立了动态​​系统模型,与补偿因子和等效电路模型修订的安培小时积分方法组合。之后,介绍系统状态方程和观察方程。同时,卡尔曼滤波实现了SOC估计值的最小误差。 Simulink工具用于建立动态系统的数学模型。仿真结果表明,复合方法可以实时监控电池SOC。其准确性可以在4%以内保持误差,这在复杂的操作条件下的电力电池SOC估计中是良好的实用价值。

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