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黄亮  姚畅 《化学物理学报》2017,30(5):547-552
Lithium ion battery has typical character of distributed parameter system, and can be described precisely by partial differential equations and multi-physics theory because lithium ion battery is a complicated electrochemical energy storage system. A novel failure prediction modeling method of lithium ion battery based on distributed parameter estimation and single particle model is proposed in this work. Lithium ion concentration in the anode of lithium ion battery is an unmeasurable distributed variable. Failure prediction system can estimate lithium ion concentration online, track the failure residual which is the difference between the estimated value and the ideal value. The precaution signal will be triggered when the failure residual is beyond the predefined failure precaution threshold, and the failure countdown prediction module will be activated. The remaining time of the severe failure threshold can be estimated by the failure countdown prediction module according to the changing rate of the failure residual. A simulation example verifies that lithium ion concentration in the anode of lithium ion battery can be estimated exactly and effectively by the failure prediction model. The precaution signal can be triggered reliably, and the remaining time of the severe failure can be forecasted accurately by the failure countdown prediction module.  相似文献   
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黄亮  姚畅 《化学物理学报》2016,29(5):623-628
提出了一种基于分布参数系统偏微分方程描述和单粒子模型的锂离子电池工作状态实时监控建模方法,能够实时跟踪锂离子电池阳极的锂离子密度和残差变化,并通过仿真实验验证了本文模型对锂离子电池工作状态故障报警的有效性和精确性.  相似文献   
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