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Estimating state of charge of lithium-ion batteries using ultrasonic reflection and transmission coefficients by Legendre orthogonal polynomial method

机译:勒让德正交多项式法利用超声反射系数和透射系数估算锂离子电池的充电状态

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The state of charge (SOC) of lithium-ion batteries can reflect the usage of batteries. When the battery has problems or aging, the amount of charge must be affected. Knowing the change in battery SOC in advance by using ultrasonic detection will reduce the harm caused by aging. During the charge, the elastic modulus and density of the internal electrode vary. This will affect the propagation of ultrasonic waves inside the battery, especially for the reflection coefficient and transmission coefficient. In this research, the Legendre orthogonal polynomial method is adopted to solve this problem. When SOC varies, the reflection and transmission coefficient curves show regular shift while the amplitude changes accordingly. It proves that both the coefficients are capable of estimating battery SOC. A finite element model of lithium-ion battery was established in the COMSOL simulation software. Both the reflection and transmission coefficients obtained were consistent with the theoretical prediction, which further verified the feasibility of the method.
机译:锂离子电池的充电状态(SOC)可以反映电池的使用情况。当电池出现问题或老化时,必须影响充电量。通过使用超声波检测提前了解电池SOC的变化,将减少老化带来的危害。在充电期间,内部电极的弹性模量和密度变化。这将影响超声波在电池内部的传播,特别是对于反射系数和透射系数。在这项研究中,采用勒让德正交多项式方法来解决这个问题。当SOC变化时,反射系数和透射系数曲线显示出规则的偏移,而振幅相应地变化。证明这两个系数都能够估计电池SOC。在COMSOL仿真软件中建立了锂离子电池的有限元模型。所获得的反射系数和透射系数均与理论预测相符,进一步证明了该方法的可行性。

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