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As the core power device of new energy vehicles, the precise modeling of power batteries is of great significance for the estimation of their operating status, full lifecycle fault diagnosis, and multi condition safety control. The electrochemical model represented by the P2D model serves as a mechanistic model that can characterize the internal electrochemical reaction process of batteries at the microscale. Its accurate description of the aging and heat generation behavior of power batteries is an important basis for evaluating the capacity degradation, internal resistance increase, uneven heating, and inconsistent performance of battery modules. The article summarizes the latest progress in electrochemical modeling of lithium-ion power batteries, analyzes the coupling methods and application status of electrochemical models with equivalent circuit models, aging models, and thermal models, and focuses on the problem of numerous parameters and difficult identification of electrochemical models. It compares and analyzes the advantages and disadvantages of the single particle model, single particle model with electrolyte, electrochemical mean model, solid-liquid phase reconstruction model, one-dimensional electrochemical model and other methods for reducing the order of power battery electrochemical models, points out the key difficulties in characterizing electrochemical model order reduction, and looks forward to the research trends of electrochemical model reduction order reconstruction methods, in order to provide direction for the research of electrochemical model reduction order reconstruction of power batteries.
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Keywords:
- Power battery /
- Electrochemical model /
- Reduced order reconstruction /
- Model coupling
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