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SOC Estimation of Lithium-ion Battery Packs Based on Thevenin Model

机译:基于VishiN模型的锂离子电池组的SOC估计

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Due to the immeasurability of SOC in battery and inevitability of error in current collection, SOC estimation of Lithium-ion battery has become a focus of EV research. With Thevenin equivalent circuit model, this paper employs EKF algorithm to estimate SOC, which takes into consideration both precision requirement of the estimation and amount of computation involved in online estimation. Based on above-mentioned objectives and principles, a test platform composed of Digatron battery test system and thermostat was built. Experimental result has confirmed that the combination of EKF algorithm with Thevenin model can improve precision and reduce amount of computation.
机译:由于SOC的不可估量和电流收集中的误差的不可变化,锂离子电池的SOC估计已成为EV研究的重点。本文采用了等效电路模型,采用EKF算法来估计SOC,这考虑了在线估计中涉及的估计和计算量的精确要求。基于上述目标和原理,建造了一种由Digatron电池测试系统和恒温器组成的测试平台。实验结果证实,EKF算法与临时模型的组合可以提高精度和减少计算量。

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