摘要
在电动汽车镍氢电池改进等效电路模型的基础上,基于模糊化电池的荷电状态(SOC),利用模糊推理的方法来估计电路模型的时变参数,并以SOC为模糊输入量,电池模型参数为模糊输出量.由于模糊推理所确定的模型参数根据模糊SOC是动态变化的,因此不仅提高了电池模型的精度,而且降低了对SOC估计精度的要求.仿真试验表明,在不考虑温度影响的情况下,利用该方法所得到的电池模块端电压仿真数值与实测值的最大绝对误差为0.04 V,相对误差为0.28%,说明这种变参数不变结构的自适应模型具有很高的可靠性和精确性.
A parameter estimation method based on the fuzzy inference is presented for the equivalent circuit model of Ni/MH battery. The procedure is composed of fuzzification, fuzzy inference and de-fuzzification. Taking the state of charge （SOC） as fuzzy input and the parameters of the battery module as fuzzy output, the parameters of the model are determined by fuzzy inference. The accuracy of the model is improved and the requirement of the estimation accuracy of SOC is reduced. The results of the simulation test show that the maximum absolute error of the loaded voltage of the Ni/MH battery module is 0.04 V and the relative error is 0. 28%. So this method is effective to enhance the accuracy of the model.
出处
《西安交通大学学报》
EI
CAS
CSCD
北大核心
2006年第1期50-52,119,共4页
Journal of Xi'an Jiaotong University
基金
国家高技术研究发展计划重大专项资助项目(2003AA501100)
汽车安全与节能国家重点实验室开放基金资助项目(KF2005-006)
关键词
镍氢电池模块
充放电模型
模糊推理
荷电状态
Ni/MH battery module
charging and recharging model
fuzzy inference
state of charge
