摘要
随着新能源汽车的大力发展,其动力供应装置锂电池的健康评估也逐渐被重视。研究逐渐从关注锂电池的当前剩余电量转移到其剩余使用寿命的计算上。为有效准确地估计锂离子电池剩余使用寿命,本文提出一种基于改进的无迹粒子滤波(IUPF)的锂电池剩余使用寿命预测方法,通过对依托数据统计建立的锂离子电池状态方程和观测方程中的反映电池内阻的2个参数以及反映电池性能退化速率的2个参数进行估计,得到包含有失效时间的锂电池容量公式,并通过该公式计算出锂电池剩余使用寿命。利用美国国家航空航天局(NASA)艾姆斯预测数据库提供的锂离子电池寿命数据做相关的仿真验证,利用3种评价指标对该估计结果进行了性能评价,结果表明本文方法能够实现对锂离子电池剩余使用寿命的估计,而且能够提升UPF方法进行预测时的准确度。
With the vigorous development of new energy vehicles,the health assessment of lithium batteries for power supply devices has gradually been taken into consideration. Research gradually shifted from the current remaining charge of lithium batteries concerned to the calculation of their remaining useful life. In order to estimate the remaining service life of Li-ion battery efficiently and accurately,a method of predicting remaining lifetime of lithium battery based on Improved Unscented Particle Filter（IUPF） is proposed. Based on the statistic equation of lithium-ion battery and the equation of observation,the two parameters which reflect the internal resistance of the battery and the two parameters which reflect the degradation rate of the battery performance are estimated to obtain the lithium battery capacity formula including the failure time. The life cycle data of lithium-ion batteries provided by NASA＇s Ames prediction database are verified by simulation. The performance of the evaluation results is evaluated by three kinds of evaluation indexes. The results show that the proposed method can be applied to lithium-ion battery remaining life estimation,also improves the accuracy of the UPF method to predict.
作者
李丽敏
温宗周
宋玉琴
LI Li-min;WEN Zong-zhou;SONG Yu-qin(School of Electronics and Information,Xi＇ an Polytechnic University,Xi＇ an 710048,China)
出处
《计算机与现代化》
2018年第7期77-81,共5页
Computer and Modernization
基金
陕西省教育厅科学研究项目(17JK0346)
西安工程大学博士科研启动基金资助项目(BS1506)
