摘要
本文对动力锂离子电池的不同数学模型进行了分析,提出不同的参数辨识方法。利用不同电池模型及参数辨识方法对电池的健康状态进行了估计,并进行实验验证。研究结果表明:可通过电池模型的内阻变化对电池健康状态进行估计,估计误差绝对值不大于3%,并且随着模型精度的提高,其对电池健康状态的估计也越准确。
Different mathematical models for power lithium-ion battery was discussed,and different parameter identification methods were put forward according to different models.The state of health(SOH)for the battery was estimated based on the proposed models and parameter identification methods.The results show that the battery health can be estimated based on the internal resistance change of battery models.The absolute value of estimation error is not more than 3.0%.And the battery SOH estimation accuracy can be improved with a more accuracy battery model.
作者
杨晴霞
李秀青
高建平
马心坦
曹秉刚
YANG Qingxia;LI Xiuqing;GAO Jianping;MA Xintan;CAO Binggang(Vehicle&Traffic Engineering School,Henan University of Science&Technology,Luoyang 471023,China;National Joint Engineering Research Center for Abrasion Control&Molding of Metal Materials,Henan University of Science&Technology,Luoyang 471023,China;State Key Laboratory for Manufacturing System Engineering,Xi’an Jiaotong University,Xi’an 710049,China)
出处
《河南科技大学学报（自然科学版）》
CAS
北大核心
2020年第4期35-39,M0004,共6页
Journal of Henan University of Science And Technology:Natural Science
基金
国家重点研发计划基金项目(2017YFB0103802)
河南科技大学博士启动基金项目(13480045)。
关键词
动力电池
电池模型
参数辨识
健康状态
traction battery
model of battery
parameter identification
state of health
