Energy Storage Science and Technology ›› 2023, Vol. 12 ›› Issue (2): 536-543.doi: 10.19799/j.cnki.2095-4239.2022.0539

• Energy Storage Test: Methods and Evaluation • Previous Articles     Next Articles

Construction and simulation analysis of thermoelectric coupling model of lithium battery based on digital twin

Yuhao ZHOU1(), Luoyun XÜ1,2, Zhongping ZHANG1, Lingchong LIU2(), Bin NAN2, Haiqi ZHAO2   

  1. 1.Huadian Electric Power Research Institute Co. , Ltd. , Hangzhou 310030, Zhejiang, China
    2.College of Electrical Engineering, Zhejiang University, Hangzhou 310027, Zhejiang, China
  • Received:2022-09-21 Revised:2022-11-12 Online:2023-02-05 Published:2023-02-24
  • Contact: Lingchong LIU E-mail:yuhao-zhou@chder.com;1658010318@qq.com

Abstract:

In the context of carbon peak and carbon neutrality, shortening the operation simulation time and improving the accuracy of simulation results are of great significance for lithium batteries in large-scale energy storage power stations to improve the CFD simulation efficiency and safety management level. Aiming to solve the problem that the existing simulation models cannot support the fast and accurate simulation of their operation states, we propose a method for constructing a thermoelectric coupling model of lithium batteries based on the digital twin. First, the digital twin structure system of lithium batteries is designed and the principle of thermoelectric coupling model construction is analyzed. Second, considering that the LTI reduced-order model of the ANSYS TwinBuilder platform has the characteristics of short calculation time and high simulation accuracy, the coupling mechanism between the thermodynamic model and the equivalent circuit model is analyzed. In addition, a lithium battery thermoelectric coupling digital twin model is established based on the ANSYS TwinBuilder. Further, the parameters of the equivalent circuit model and thermodynamic model are identified offline by the least-squares algorithm and principle analysis, respectively. Considering the influence of factors such as aging and temperature, the recursive least-squares algorithm is used to identify the parameters of the equivalent circuit model online. Finally, the lithium battery equivalent circuit model and thermodynamic model are built in Simulink and ANSYS Icepak, respectively, and coupled to the ANSYS TwinBuilder platform. Moreover, we perform simulation analysis from multiple dimensions. The results of the comparison between the simulation and experimental values demonstrate the effectiveness and accuracy of the proposed model.

Key words: lithium battery, digital twin, thermoelectric coupling, parameter identification, ANSYS TwinBuilder

CLC Number: