期刊文献+

一种MH/Ni动力电池模型及其SOC预测方法

Mathematic model for MH/Ni battery and SOC estimation based on Kalman filter
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摘要 在传统的MH/Ni动力电池等效电路模型基础上,提出了一种改进的电池模型,将电池工作状态分为放电、放电停歇、充电、充电停歇4个不同阶段;设计了脉冲充放电实验,给出了参数辨识方法;利用此模型,提出了一种基于卡尔曼滤波的SOC估算算法。实验仿真结果表明,模型预测数据接近实测数据,所提出的电池模型及SOC估算方法精度较高。 An improved battery model for MH/Ni battery was presented on the base of classical equivalent circuit model. The battery work states were divided into four phases, namely, charge phase, charge idle phase, discharge phase, discharge idle phase. Pulse charge and discharge experiments were designed and identification method of parameters was introduced. Based on the improved model, an estimated SOC algorithm by using Kalman filtering was proposed. The experiment simulation results show that the predicted data match the measured data very well and the proposed model and SOC estimation have .qood precision.
作者 刘国繁 骆晶
出处 《电源技术》 CAS CSCD 北大核心 2013年第11期1985-1988,2031,共5页 Chinese Journal of Power Sources
基金 湖南省科技计划项目(2009GK3074)
关键词 MH Ni电池 电池模型 卡尔曼滤波 荷电状态(SOC) MH/Ni battery battery model Kalman filter state of charge (SOC)
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