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Deterioration diagnosis of lithium-ion battery based-on parameter estimation of electrochemical model using particle swarm optimization

机译:基于粒子群优化的电化学模型参数估计的锂离子电池劣化诊断

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For the purpose of improving the deterioration diagnosis accuracy of lithium-ion batteries, we aim to establish a model-based deterioration diagnosis method. An equivalent circuit model is derived using electrochemical impedance spectroscopy that can accurately represent the dynamic characteristics of lithium ion batteries. By estimating the parameters of the model by the particle swarm optimization method, it is possible to follow the change of the parameter due to deterioration considering the relationship with deterioration from the parameter change.
机译:为了提高锂离子电池的劣化诊断精度,我们旨在建立基于模型的劣化诊断方法。使用电化学阻抗谱可以得出等效电路模型,该模型可以准确表示锂离子电池的动态特性。通过使用粒子群优化方法估计模型的参数,可以考虑由于参数变化引起的与劣化的关系,来追踪由于劣化导致的参数变化。

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