摘要
新能源汽车动力电池的荷电状态(state—of-charge,SOC)是影响电池能耗以及寿命的关键因素。由于车辆配备的电池多为组合电池,多个单体电池充放电期间会出现储能性能的差异,导致电池内部电力噪声较大,特征难以捕捉,荷电状态监控难度增大。为此提出一种基于离散分布与线性判定相结合的荷电状态监控方法。构建电池电力模型,将不符合线性变化的参数判定为噪声值,通过自适应滤波算法结合噪声时变递推规律,采用修正函数滤除波动较大的噪声值。构建动力电池荷电变动的等效电路模型,计算每一次的充放电过程中模型内电阻、电压、电流以及电容量的线性变化。设计观测函数,将各类电力间的变化与电荷状态结合统一分析,完成电池荷电状态数据的监控。实验结果证明,上述方法获取的电池荷电状态与实测结果基本一致,说明所提方法的监控精准度高,且对电池内部电流变化监控能力也较强。
The state of charge of the power battery of new energy vehicles is a key factor affecting the energy consumption and life of the battery.Due to the design of combined batteries,the difference in energy storage during the charging and discharging of single batteries may lead to large internal noise and increase difficulty in monitoring the state of charge.Therefore,this paper presented a method of monitoring SOC combining discrete distribution with linear decision.Firstly,a model of battery power was built,and then the parameters that did not conform to the linear change were judged as noise values.Combined with the time-varying recurrence law of noise,the adaptive filtering algorithm was adopted to filter out the noise values with large fluctuations.Secondly,the equivalent circuit model of the SOC variation of power battery was constructed.Meanwhile,the linear changes of resistance,voltage,current and capacitance in the model were calculated during each charge-discharge process.Moreover,an observation function was designed to analyze the change between various kinds of power as well as the state of charge in a unified way.Finally,the monitoring for SOC data was completed.Experimental results show that the state of charge is in concordance with the test result,indicating that the proposed method has high monitoring accuracy and strong ability to monitor the internal current change of the battery.
作者
刘晓明
温立志
LIU Xiao-ming;WEN Li-zhi(Automobile&Rail Transportation School,Tianjin Sino-German University of Applied Sciences,Tianjin 300350,China)
出处
《计算机仿真》
2024年第1期140-143,493,共5页
Computer Simulation
基金
天津市科技计划项目(20YDTPJC00850)。
关键词
新能源汽车
电池荷电状态
自适应滤波算法
修正函数
等效电路模型
New-energy vehicles
State of charge(SOC)
Adaptive filtering algorithm
Correction function
Equivalent-circuit model
