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基于MIMO模糊控制的锂离子电池参数自适应等效电路模型及SOC估计
Alternative TitleAdaptive Parameters Equivalent-circuit Model of Li-ion Battery Based on MIMO Fuzzy Control and SOC Estimation
王云甘; 王忠锋; 于海斌; 李力刚; 黄剑龙
Department工业控制网络与系统研究室
Source Publication信息与控制
ISSN1002-0411
2015
Volume44Issue:3Pages:263-269
Indexed ByCSCD
CSCD IDCSCD:5447497
Contribution Rank1
Funding Organization国家863计划资助项目(2014AA041801)
Keyword锂离子电池 等效电路模型 多输入多输出(Mimo) 模糊控制 参数自适应 荷电状态(Soc)估计
Abstract针对锂电池等效电路模型无法在荷电状态(SOC)全区间精确反映锂电池内部真实状态的问题,提出了基于多输入多输出(MIMO)模糊控制的参数自适应等效电路模型.该等效电路模型以新一代汽车伙伴关系(PNGV)模型为自适应原型,根据锂离子电池和PNGV模型的外特性参数差异,由MIMO模糊调节器动态实时修正模型参数,达到精确建模、反映电池内部真实状态的目的.实验验证了自适应参数对模型精度和自适应性能的影响及模型在变工况下的模拟效果.通过对比锂电池参数自适应模型和静态参数PNGV模型的扩展卡尔曼滤波算法估计SOC的误差,验证了参数自适应模型的有效性.
Other AbstractWe propose an adaptive parameters equivalent-circuit model of a Li-ion battery based on multi-input multi-output ( MIMO) fuzzy control to solve the problem that the normal equivalent-circuit model cannot reflect a Li-ion battery's internal state precisely at all regions of the state of charge ( SOC) . The model,taking the partnership for a new generation of vehicles ( PNGV) model as an adaptive prototype,dynamically updates the parameters in real-time using the MIMO fuzzy regulator. The updates are made according to the difference in the external characteristics between Li-ion battery and the PNGV model,in order to reach the goal of accurate modeling and reflecting the battery's true internal state. Experiments verify the influence of adaptive parameters on the model accuracy and adaptive performance,and show the model-emulating effects under various operating conditions. The comparison of SOC error estimation applying the extended Kalman filter ( EKF) between the battery adaptive parameters model and the static parameter PNGV model verifies the effectiveness of the adaptive parameters model.
Language中文
Citation statistics
Cited Times:1[CSCD]   [CSCD Record]
Document Type期刊论文
Identifierhttp://ir.sia.cn/handle/173321/16820
Collection工业控制网络与系统研究室
Corresponding Author王云甘
Affiliation1.中国科学院沈阳自动化研究所中国科学院网络化控制系统重点实验室
2.中国科学院大学
Recommended Citation
GB/T 7714
王云甘,王忠锋,于海斌,等. 基于MIMO模糊控制的锂离子电池参数自适应等效电路模型及SOC估计[J]. 信息与控制,2015,44(3):263-269.
APA 王云甘,王忠锋,于海斌,李力刚,&黄剑龙.(2015).基于MIMO模糊控制的锂离子电池参数自适应等效电路模型及SOC估计.信息与控制,44(3),263-269.
MLA 王云甘,et al."基于MIMO模糊控制的锂离子电池参数自适应等效电路模型及SOC估计".信息与控制 44.3(2015):263-269.
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