论文标题
有吸引力的椭圆形滑动模式观察者设计锂离子细胞的充电状态估计
Attractive Ellipsoid Sliding Mode Observer Design for State of Charge Estimation of Lithium-ion Cells
论文作者
论文摘要
这项工作研究了可靠，安全有效的利用率的锂离子（Li-ion）细胞的最新电荷（SOC）实时估计。一种新型的基于椭圆形的滑动模式观察者（AESMO）算法旨在实时估计SOC。该算法利用了锂离子电池的标准等效电路模型，并在电池参数中存在有限的不确定性以及外源性干扰的情况下提供可靠，有效的SOC估计。观察者设计的理论框架不限于锂离子细胞的SOC估计问题，而是适用于匹配和不匹配不确定性的更广泛类别的非线性系统。拟议观察者的主要优点是基于最小化的不确定性结合，提供了快速，最佳的社会估计。使用混合脉冲功率表征测试（HPPC）和城市测功机驾驶时间表（UDDS）测试数据对所提出的方法进行了实验测试和评估，这证明了其有效性和可行性。
This work investigates the real-time estimation of the state-of-charge (SoC) of Lithium-ion (Li-ion) cells for reliable, safe and efficient utilization. A novel attractive ellipsoid based sliding-mode observer (AESMO) algorithm is designed to estimate the SoC in real-time. The algorithm utilizes standard equivalent circuit model of a Li-ion cell and provides reliable and efficient SoC estimate in the presence of bounded uncertainties in the battery parameters as well as exogenous disturbances. The theoretical framework of the observer design is not limited to the SoC estimation problem of Li-ion cell but applicable to a wider class of nonlinear systems with both matched and mismatched uncertainties. The main advantage of the proposed observer is to provide a fast and optimal SoC estimate based on minimization over the uncertainty bound. The proposed method is experimentally tested and evaluated using the hybrid pulse power characterization test (HPPC)and urban dynamometer driving schedule (UDDS) test data, which demonstrate its effectiveness and feasibility.
