摘要
锂电池的健康状态(SOH)是对电池管理的重要参数之一,它和锂电池的寿命有着直接的关系。为了更精确地估算出锂电池的健康状态(SOH),以锂电池欧姆内阻为研究对象,构建可判断锂电池老化程度的健康因子,基于数据驱动法,选用三次样条插值法为算法,建立健康因子与健康状态(SOH)的关系模型,从而达到以健康因子来估算健康状态(SOH)的目的。实验表明,实测数据和估算数据的估算误差较小,验证了方法的可行性。
The state of health(SOH) of lithium batteries is one of the important parameters of battery management,which has a direct relationship with the life of lithium batteries. In order to estimate the state of health(SOH) of lithium batteries more accurately, the ohmic internal resistance of lithium batteries was taken as the research object, and the health factors judging the aging degree of lithium batteries were constructed. Based on data-driven method, the cubic spline interpolation method was selected as the algorithm, and the relationship model between health factors and state of health(SOH) was established, so as to achieve the purpose of estimating the state of health(SOH) by health factors. The experiment results show that the relative error between measured data and estimated data is small,which verifies the feasibility of the method.
作者
梁培维
张彦会
LIANG Pei-wei;ZHANG Yan-hui(Guangxi Key Laboratory of Automotive Components and Vehicle Technology(Guangxi University of Science and Technology),Liuzhou Guangxi 545006,China;School of Automotive and Transportation Engineering,Guangxi University of Science and Technology,Liuzhou Guangxi 545006,China)
出处
《电源技术》
CAS
北大核心
2019年第10期1623-1625,1704,共4页
Chinese Journal of Power Sources
基金
广西重点实验室开放课题基金(2014KFZD02)
关键词
健康状态
欧姆内阻
三次样条插值法
health state
ohmic internal resistance
cubic spline interpolation method
