基于Simulink的电池单体及电池组DP模型参数辨识

Parameter Identification of DP Models for Battery Cells and Battery Packs Based on Simulink

摘要: 在新能源汽车与储能领域，锂电池组的精准建模对电池管理至关重要。本文基于Simulink搭建锂电池双极化DP等效电路模型参数辨识框架，实现单体与电池组统一建模。通过结合恒流–静置间歇放电和HPPC测试，解耦辨识开路电压、欧姆内阻与极化参数。实验表明，单体模型动态电压预测误差低于0.3 V，电池组模型误差在5%以内，验证了模型有效性，可为高精度电池组建模及管理系统优化提供理论依据。

Abstract: In the field of new energy vehicles and energy storage, accurate modelling of lithium-ion battery packs is critical for battery management. This paper establishes a parameter identification framework for lithium-ion battery bipolarization DP equivalent circuit models using Simulink, enabling unified modelling of individual cells and battery packs. By combining constant current-quiescent intermittent discharge and HPPC test, open-circuit voltage, ohmic internal resistance, and polarization parameters are decoupled and identified. Experiments show that the dynamic voltage prediction error of the cell model is less than 0.3 V, and the error of the battery pack model is within 5%, verifying the effectiveness of the model. This provides a theoretical basis for high-precision battery pack modelling and management system optimization.