摘要
高倍率短时脉冲工况下,电池的极化特性差异大、温度上升快、极化电压消退不彻底,导致常规等效电路模型仿真效果不佳。参数辨识和分段均方误差分析发现,高倍率脉冲工况下模型在极化消退部分仿真误差较大,导致下一脉冲极化电压初始值失准。提出基于一阶等效电路模型和前馈神经网络的数据-模型融合驱动模型。相较于常规等效电路模型,该模型在20 C的短时脉冲工况下,能更精确地模拟电池的电压响应,均方根误差降低了61.29%。
The polarization characteristics of the battery vary significantly,the temperature rises quickly,the polarization voltage is not completely subsided under the high-rate short-time pulse conditions,resulting in poor simulation effects of conventional equivalent circuit models.The parameter identification and segmented mean square error analysis reveals that the model has a large simulation error in the polarization decay part under high-rate pulse conditions,resulting in the inaccurate initial value of polarization voltage for the next pulse.A data-model fusion-driven model based on the first-order equivalent circuit model and feedforward neural network is proposed.Compared to the conventional equivalent circuit model,this model can simulate the voltage response of the battery more accurately under short-time pulse conditions at 20 C,reducing the root mean square error by 61.29%.
作者
要宇辉
孙丙香
张慧敏
马仕昌
赵鑫泽
鲁诗默
朱振威
YAO Yuhui;SUN Bingxiang;ZHANG Huimin;MA Shichang;ZHAO Xinze;LU Shimo;ZHU Zhenwei(National Active Distribution Network Technology Research Center,Beijing Jiaotong University,Beijing 100044,China;Key Laboratory of Vehicular Multi-Energy Drive Systems,Ministry of Education,Beijing Jiaotong University,Beijing 100044,China;Chemical Defense Institute,Beijing 100191,China)
出处
《电池》
北大核心
2025年第2期232-237,共6页
Battery Bimonthly
基金
国家自然科学基金(52177206)。
作者简介
要宇辉(2000-),男,山西人,北京交通大学国家能源主动配电网技术研发中心硕士生,研究方向:锂离子电池建模;通信作者:孙丙香(1979-),女,吉林人,北京交通大学国家能源主动配电网技术研发中心教授,博士生导师,研究方向:锂离子动力电池高效集成及智能管控技术。
