摘要
针对电动汽车所使用的锂离子电池剩余寿命难以检测的问题,分析影响电池寿命衰退的因素,建立改进初值的隐马尔科夫模型对锂离子电池寿命衰退进行预测,并给出了预测方法。以18 650锂离子电池为研究对象,首先通过实验结果分析得出与电池寿命衰退相关的主要因素,再根据充放电实验获得的放电曲线提出了放电平台临界点,最后利用大量实验数据建立改进初值的隐马尔科夫模型来预测电池衰退表现,通过结合之前的衰退情况,提出了衰退表现系数表示电池容量衰减程度可直接预测电池的剩余使用寿命。理论分析和实验结果表明该模型能够对电池的剩余寿命进行预测,预测精度达到2.06%。
Aiming at the problem of difficult to measure the remaining life of lithium-ion batteries used in electric cars,combined with factors that affect the battery life of recession,we improve initial value hidden markov model to forecast the lithium ion battery life decline,and the prediction method is given. In this paper we take18650 lithium-ion battery as the research object,first of all through the experimental results are obtained that the main factors which are related to the decline of the battery life,and then according to charge and discharge the discharge voltage curve,the concept of the critical point of the discharge platform was proposed. Finally,the establishment of building improve initial value hidden markov model predicted the downturn with the experimental data,performance analysis of the decline of the attenuation of the battery capacity,the concept of recession performance coefficient used to predict the remaining life of the battery from the experimental data by combining batteries before the recession to predict the battery remaining battery life. Theoretical analysis and experimental results show that the model can predict the remaining life of the battery,and the prediction accuracy is 2. 06%.
出处
《哈尔滨理工大学学报》
CAS
北大核心
2017年第6期33-38,共6页
Journal of Harbin University of Science and Technology
基金
2014-МНТЦB-1375莫斯科国际科学技术中心科研项目
关键词
锂离子电池
隐马尔科夫模型
衰退表现
充放电实验
剩余寿命预测
lithium ion battery
hidden markov model
the recession
recession performance
charge-discharge experiments
remaining life prediction
