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新能源汽车SOC估算的模糊预测算法研究
引用本文:张利,王为,陈泽坚,刘征宇.新能源汽车SOC估算的模糊预测算法研究[J].电子测量与仪器学报,2011,25(4):315-319.
作者姓名:张利  王为  陈泽坚  刘征宇
作者单位:合肥工业大学机械与汽车工程学院;埃泰克汽车电子(芜湖)有限公司;
基金项目:国家自然科学基金(编号:60873003)资助项目; 高等学校博士学科点基金(编号:200803591025)资助项目; 国家电子信息产业发展基金(编号:[2010]301)资助项目
摘    要:电池荷电状态(SOC)是新能源汽车最重要的参数之一。在估算SOC的安时计量法原理公式中,库仑效率η难以实时准确测量,且其受到温度、电池老化、充放电电流、电池内阻变化率的影响,从而时刻发生变化。构建T-S模型,考虑各因素对η的影响,利用模糊聚类预测法,对η进行计算。经过实验验证并结合对传统安时计量法的仿真,将二者对比放电实验结果,方法将SOC计算精度提高到了3.4%。此方法解决了安时计量法中库仑效率η难以准确测量的问题。

关 键 词:模糊预测  新能源汽车  电池荷电状态(SOC)  库仑效率  模糊聚类

Research of fuzzy prediction algorithm in SOC estimation of new energy vehicles
Zhang Li,Wang Wei,Chen Zejian,Liu Zhengyu.Research of fuzzy prediction algorithm in SOC estimation of new energy vehicles[J].Journal of Electronic Measurement and Instrument,2011,25(4):315-319.
Authors:Zhang Li  Wang Wei  Chen Zejian  Liu Zhengyu
Affiliation:Zhang Li1 Wang Wei1 Chen Zejian2 Liu Zhengyu1(1.School of Mechanical and Automotive Engineering,Hefei University of Technology,Hefei 230009,China,2.ATECH Automotive Wuhu Co.,Ltd,Wuhu 241009,China)
Abstract:State of charge(SOC) is one of the most important parameters of new energy vehicles.Under the influence of temperature,battery aging,charging and discharging current and internal battery resistance changing rate,Coulombic efficiency of AH measurement formula to estimate SOC is on the change all the time and precise measurement is difficult.Based on the T-S model,this paper adopts the fuzzy clustering prediction method to calculate η,concerning all the elements.Through the experi-ment and the simulation of traditional AH measurement,contrast the result with discharge experiment,this method improves the precision of SOC to 3.4%.The method put forward in this paper solves the problem of difficult calculation of η.
Keywords:fuzzy prediction  new energy vehicles  state of charge(SOC)  coulombic efficiency  fuzzy clustering  
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