State Estimation for a Zero-Dimensional Electrochemical Model of Lithium-Sulfur Batteries
State Estimation for a Zero-Dimensional Electrochemical Model of Lithium-Sulfur Batteries
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DOI：
10.23919/acc50511.2021.9483225
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发表时间：
2021-01
期刊：
影响因子：
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通讯作者：
Zhijia Huang;Dong Zhang;Luis D. Couto;Quan-hong Yang;S. Moura
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作者：
Zhijia Huang;Dong Zhang;Luis D. Couto;Quan-hong Yang;S. Moura
锂硫（li -硫）电池已成为传统锂离子电池最具吸引力的替代品之一，因为它们具有较高的理论比能量密度（2500 Wh/kg的锂硫电池vs ~250 Wh/kg的锂离子电池）。为了保证锂电池的安全高效运行，迫切需要准确的状态估计。据作者所知，基于电化学模型的观察器尚未被报道用于Li-S电池，主要是因为复杂的动力学使得状态观察器的设计成为一个具有挑战性的问题。在这项工作中，我们展示了一种基于零维电化学模型的锂电池状态估计方案。将非线性微分代数方程（DAE）模型集成到扩展卡尔曼滤波器中。这种观测器的设计估计微分和代数状态，表示电池内部的动态行为，仅从电压和电流的测量。数值仿真结果验证了该估计算法的有效性。我们的研究揭示了电化学模型如何用于锂硫电池的实际状态估计。
Lithium-sulfur (Li-S) batteries have become one of the most attractive alternatives over conventional Li-ion batteries due to their high theoretical specific energy density (2500 Wh/kg for Li-S vs. ~250 Wh/kg for Li-ion). Accurate state estimation in Li-S batteries is urgently needed for safe and efficient operation. To the best of the authors' knowledge, electrochemical model-based observers have not been reported for Li-S batteries, primarily due to the complex dynamics that make state observer design a challenging problem. In this work, we demonstrate a state estimation scheme based on a zero-dimensional electrochemical model for Li-S batteries. The nonlinear differential-algebraic equation (DAE) model is incorporated into an extended Kalman filter. This observer design estimates both differential and algebraic states that represent the dynamic behavior inside the cell, from voltage and current measurements only. The effectiveness of the proposed estimation algorithm is illustrated by numerical simulation results. Our study unlocks how an electrochemical model can be utilized for practical state estimation of Li-S batteries.