Implementation of reduced-order physics-based model and multi parameters identification strategy for lithium-ion battery
Implementation of reduced-order physics-based model and multi parameters identification strategy for lithium-ion battery
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DOI：
10.1016/j.energy.2017.07.069
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发表时间：
2017-11
期刊：
影响因子：
9
通讯作者：
Zhongwei Deng;Hao Deng;Lin Yang;Yishan Cai;Xiaowei Zhao
中科院分区：
文献类型：
--
作者：
Zhongwei Deng;Hao Deng;Lin Yang;Yishan Cai;Xiaowei Zhao
基于物理的锂离子电池模型由于能够描述电池的内部电化学状态而被认为是等效电路模型的有前途的替代方案。然而，这些模型巨大的计算负担和众多的参数阻碍了它们在嵌入式电池管理系统中的应用。为了解决上述问题，开发了一种基于降阶物理的锂离子电池模型，该模型在模型保真度和计算复杂度之间具有更好的权衡。提出了一种将操作从固定点扩展到全充电状态范围的策略。由于模型由恒定的、变化的、可识别的和不可识别的参数组成，仅使用电流-电压数据来识别全套参数是不切实际的。为了筛选可识别参数，采用了基于计算Fisher信息矩阵（FIM）的行列式和条件数的标准。获得最多有9个可识别参数的子集，然后通过非线性最小二乘回归算法和FIM计算的置信区域进行识别。与商业软件的输出结果进行比较，验证了电池模型和扩展策略的有效性。估计参数与真实值略有偏差，并且在不同电流曲线下产生较小的电压误差。
Physics-based models for lithium-ion battery have been regarded as a promising alternative to equivalent circuit models due to their ability to describe internal electrochemical states of battery. However, the huge computational burden and numerous parameters of these models impede their application in embedded battery management system. To deal with the above problem, a reduced-order physics-based model for lithium-ion battery with better tradeoff between the model fidelity and computational complexity is developed. A strategy is proposed to extend the operation from a fixed point to full state of charge range. As the model consists of constant, varying, identifiable and unidentifiable parameters, it is impractical to identify the full set of parameters only using the current-voltage data. To sort out the identifiable parameters, a criterion based on calculating the determinant and condition number of Fisher information matrix (FIM) is employed. A subset with maximum nine identifiable parameters is obtained and then identified by nonlinear least square regression algorithm with confidence region calculated byFIM. Compared with the outputs from commercial software, the effectiveness of the battery model and extending strategy are verified. The estimated parameters deviate from the true values slightly, and produce small voltage errors at different current profiles.