DYNAMIC TEMPERATURE OPTIMIZATION METHOD FOR WIND TURBINE BEARING BASED ON DIGITAL TWIN

Xu Wenqiang; Zhou Jianxing; Cui Quanwei; Zhang Bowen; Zhou Yadong

doi:10.19912/j.0254-0096.tynxb.2024-1405

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Acta Energiae Solaris Sinica ›› 2025, Vol. 46 ›› Issue (12) : 225-232. DOI: 10.19912/j.0254-0096.tynxb.2024-1405

DYNAMIC TEMPERATURE OPTIMIZATION METHOD FOR WIND TURBINE BEARING BASED ON DIGITAL TWIN

Xu Wenqiang, Zhou Jianxing, Cui Quanwei, Zhang Bowen, Zhou Yadong

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Abstract

In order to solve the problems that the modeling of the heating end of the bearing temperature of a wind turbine was simplified in the past and the actual environment was not considered, making it difficult to establish an accurate bearing temperature model, a dynamic prediction method of bearing temperature based on a digital twin is proposed. Firstly, the system dynamics model is established by the finite element method, and the bearing vibration acceleration is preliminarily obtained. Secondly, the mechanism model of bearing temperature calculation is constructed by the thermal network method. The bearing vibration optimization model based on the measured data is established by the optimization algorithm, and the digital twin model of the rolling bearing's thermal boundary conditions is constructed by using the experimental data and simulation results. The dynamic model after the digital twin optimization is used to update the thermal network simulation of temperature. The test results show that the model has good performance in vibration acceleration estimation accuracy and bearing temperature prediction accuracy under the condition of variable speed, which can effectively improve the accuracy of bearing thermal network analysis and prediction model.

Key words

digital twin / bearing / wind turbine / finite element method / temperature prediction / dynamic optimization

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Xu Wenqiang, Zhou Jianxing, Cui Quanwei, Zhang Bowen, Zhou Yadong. DYNAMIC TEMPERATURE OPTIMIZATION METHOD FOR WIND TURBINE BEARING BASED ON DIGITAL TWIN[J]. Acta Energiae Solaris Sinica. 2025, 46(12): 225-232 https://doi.org/10.19912/j.0254-0096.tynxb.2024-1405

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