| 电动汽车锂电池SOC估算研究 |
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| 引用本文： | 姜安娜,逄海燕,李立伟,王虹. 电动汽车锂电池SOC估算研究[J]. 青岛大学学报(工程技术版), 2014, 0(1): 60-63 |
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| 作者姓名： | 姜安娜 逄海燕 李立伟 王虹 |
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| 作者单位： | [1]青岛大学自动化工程学院,山东青岛266071 [2]潍坊帛方纺织有限公司,山东潍坊261000 |
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| 基金项目： | 山东省自然科学基金项目资助（Y2008F23）;山东省科技发展计划项目资助（2011GGB01123）;863计划项目资助（2012AA110407） |
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| 摘 要： | 为了精确估算电动汽车锂电池的荷电状态(state of charge,SOC),本文通过对主流SOC估算方法进行分析与比较,提出了一种基于卡尔曼滤波算法的电动汽车能量管理系统(energy management system,EMS)SOC估算方法,同时采用联合模型以保证估算过程中有较好的精度,并在实验室条件下进行实测数据及MATLAB仿真分析。仿真结果表明,卡尔曼滤波算法对锂电池SOC进行在线实时估计是有效的,能够较为准确地计算出SOC值,且估算结果与实测值基本一致,该方法可以用于电动汽车锂电池SOC的估算,具有很强的实际应用价值。
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| 关 键 词： | 电动汽车 卡尔曼滤波算法 安时计量 能量管理系统 SOC估算 |
A Study on SOC Estimation Algorithm for Electric Vehicle |
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| JIANG An-na,PANG Hai-yan,LI Li-wei,WANG Hong. A Study on SOC Estimation Algorithm for Electric Vehicle[J]. Journal of Qingdao University(Engineering & Technology Edition), 2014, 0(1): 60-63 |
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| Authors: | JIANG An-na PANG Hai-yan LI Li-wei WANG Hong |
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| Affiliation: | 1.College of Automation Engineering, Qingdao University, Qingdao 266071, China; 2.Weifang Bofine Textile Limited Company, Weifang 261000, China;) |
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| Abstract: | By comparison of major SOC estimation methods,the paper proposed a SOC estimation method of battery management system based on Kalman filtering method to accurately predict the state of battery,while using combined model to ensure that the process can have a better estimate of the accuracy and using measured data and MATLAB simulation to analyze under laboratory conditions.The results show that the Kalman filter algorithm for real-time online lithium battery SOC estimation is effective,and it is able to accurately calculate the SOC.The experiment result showed that estimation result of SOC of battery used by the method is consistent with measured values and the method can be applied to battery management system. |
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| Keywords: | electric vehicle kalman filter Ah counting energy management system SOC estimation |
| 本文献已被 CNKI 维普 等数据库收录！ |
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