Quantitative Assessment of the Field System Parameter Sensitivity for Lithium-Ion Battery Electrochemical-Thermal Coupling Model with Dynamic Operating Conditions
Xu Zhicheng1, Zhang Hongyi1, Tian Jinxin1, Wang Yang1, Jiang Kai2
1. State Key Laboratory of Intelligence Power Distribution Equipment and system Hebei University of Technology Tianjin 300401 China; 2. School of Electrical and Electronic Engineering Huazhong University of Science and Technology Wuhan 430074 China
Abstract：Lithium-ion batteries are complex electrochemical systems characterized by high non-linearity and mutual coupling of parameters. However, during the theoretical modeling of lithium-ion batteries, the model parameter perturbation and mutual coupling will cause the deviation of the model output characteristics which will seriously affect the prediction accuracy of the model. It is critical to quantify the influence of each parameter on the model output and accurately describe the relationship between model parameters and battery output characteristics. This paper establishes a quantitative assessment method for the sensitivity of the battery model field system parameters. Firstly, considering the electrochemical reaction and thermal effects during the operation of lithium-ion batteries, an electrochemical-thermal coupling model for lithium-ion batteries is constructed. The rise in terminal voltage and average temperature is then taken as the output characteristic of the model. Secondly, the model parameters are classified based on their characteristics and physical field belonging, with corresponding value ranges provided. Then, the Latin Hypercube Sampling method constructs the sampling matrix of the model field system parameters as the input data. Finally, three different multidimensional dynamic test conditions are designed. The Sobol's index method is used to quantitatively analyze the global sensitivity of the model field system parameters. A quantitative evaluation criterion is established for parameter sensitivity based on the operating conditions. The results show that under the constant C-rate condition, cathode particle radius, cathode solid phase diffusion coefficient, and cathode solid phase volume fraction significantly influence the system's output characteristics. Under the dynamic low-C rate condition, cathode solid phase volume fraction, cathode particle radius, and cathode reaction rate constant have significant effects. In the case of dynamic high-C rate, the cathode solid phase diffusion coefficient, the anode particle radius, the anode solid phase diffusion coefficient, and the cathode electrolyte volume fraction have significant effects. Combining the sensitivity quantification for all working conditions, the interactions between the cathode initial ionic concentration and the cathode maximum ionic concentration, the cathode reaction rate constants and the cathode solid phase volume fraction, as well as the Bruggeman coefficient and the cathode maximum ionic concentration have great effects on the model terminal voltage. Meanwhile, the interactions between the cathode reaction rate constants and the anode particle radius, the cathode reaction rate constants and the Bruggeman coefficient, as well as the electrolyte diffusion coefficient and the anode particle radius, affect the average temperature rise. This paper can provide a theoretical basis for optimizing model parameters under dynamic working conditions and modeling lithium-ion batteries.
徐志成, 张弘毅, 田金鑫, 汪洋, 蒋凯. 锂离子电池电化学-热耦合模型场域系统参数随动态工况的敏感性量化评估[J]. 电工技术学报, 2025, 40(20): 6716-6732.
Xu Zhicheng, Zhang Hongyi, Tian Jinxin, Wang Yang, Jiang Kai. Quantitative Assessment of the Field System Parameter Sensitivity for Lithium-Ion Battery Electrochemical-Thermal Coupling Model with Dynamic Operating Conditions. Transactions of China Electrotechnical Society, 2025, 40(20): 6716-6732.
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