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Electrochemical-distributed thermal coupled model-based state of charge estimation for cylindrical lithium-ion batteries

机译:基于电化学分布的热耦合模型的圆柱形锂离子电池的电荷估计状态

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摘要

State of Charge (SoC) is essential in a smart Battery Management System (BMS). Traditional SoC estimation methods consider the lithium battery cell as an isothermal body simplistically, which is not accurate. Due to the heat conduction and convection, the temperature distribution along the radius is nonuniform, which means the battery model parameters subject to temperature are not identical radially. This paper proposed a modified electrochemical-distributed thermal coupled model (MEDTM) for improving the accuracy of SoC estimation. The distributed thermal model is employed to design a robust H-infinity temperature observer for the estimation of the radial temperature distribution of battery cell, where a radial discretized method is used for the realization of the observer design. Based on the observed temperature, a SoC observer is developed with the backstepping method. Finally, experiments and simulation are implemented. The two constant discharging experiments indicate that MEDTM is more accurate than the single particle model with surface temperature (SPMST), and it can generate reliable temperature prediction. A comparative simulation and a constant discharging experiment verify the H-infinity temperature observer can obtain a more accurate estimation of the battery cell's temperature than the luenberger observer, and the H-infinity temperature observer has an estimation error of 0.3 K below. Then, through a constant discharging experiment and a simulation with UDDS current, the proposed SoC observer is verified to accurately estimate the SoC by comparing with the true SoC, where the estimated error of SoC under the two cases is below 1.5% and below 0.4%, respectively. Therefore, the proposed SoC observer also has good performance.
机译:充电状态(SOC)在智能电池管理系统(BMS)中是必不可少的。传统的SOC估计方法将锂电池电池简单地考虑作为等温机身,这是不准确的。由于导热和对流,沿半径的温度分布是不均匀的,这意味着经受温度的电池模型参数径向不相同。本文提出了一种改进的电化学分布式热耦合模型(MEDTM),用于提高SOC估计的精度。分布式热模型用于设计鲁棒H-Infinity温度观测器,用于估计电池单元的径向温度分布,其中径向离散化方法用于实现观察者设计。基于观察到的温度,使用反向插入方法开发了SOC观察者。最后,实施了实验和模拟。两个恒定的放电实验表明,MedTM比具有表面温度(SPMST)的单个粒子模型更精确,并且它可以产生可靠的温度预测。比较仿真和恒定放电实验验证了H-Infinity温度观测器可以获得比Luenberger观测器更精确地估计电池单元的温度,并且H-Infinity温度观测器的估计误差为0.3 k。然后,通过恒定的放电实验和具有UDDS电流的模拟,通过与真正的SOC比较,验证所提出的SOC观察者以准确地估计SOC,其中SOC的估计误差低于1.5%,低于0.4% , 分别。因此,所提出的SOC观察者也具有良好的性能。

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