A method for establishing a digital twin model for prefabricated electrochemical energy storage power stations

Abstract

Prefabricated electrochemical energy storage stations are crucial for the promotion and application of energy storage projects. To conduct research on digital twin technology throughout the lifecycle， the paper proposes a method for establishing a digital twin model for electrochemical energy storage power stations based on electric-thermal-fluid fields. Firstly， standardized testing protocols for batteries are designed to acquire fundamental characteristics such as capacity， energy， open circuit voltage （OCV）， and power， as well as the coupling laws of multiple physical fields of batteries. Subsequently， battery model parameters are identified through test data， and an aging model parameter database is constructed. Next， the aging process of batteries is revealed based on incremental capacity analysis （ICA）， and the maximum available capacity of the batteries is extracted through feature mapping. Following this， leveraging the coupling characteristics of multiple physical fields of batteries， thermal and fluid field models of battery compartments are established using real-world laser scanners， engineering drawings， and COMSOL Multiphysics software. Finally， technical validation is performed using a user-side prefabricated energy storage station in Zhejiang Province， demonstrating that the established digital twin model enables deduction and state assessment of electric-thermal-fluid fields.

Keywords

• prefabricated energy storage power station
• digital twin
• electric-thermal-fluid field
• battery aging
• condition assessment