文献类型：期刊文献

英文题名：Estimation and simulation of charged state of battery for AGV

作者：Pian, Chun-Yuan[1]; Liu, Junfeng[1]; Zhang, Liwei[1]

通讯作者：Pian, Chun-Yuan

机构：[1] Xinxiang University, Henan, 453003, China

第一机构：新乡学院

年份：2019

卷号：2

期号：6

起止页码：120-126

外文期刊名：International Journal of Mechatronics and Applied Mechanics

收录：EI(收录号：20202608869748);Scopus(收录号：2-s2.0-85086758850)

基金：This work was supported by Scientific and technological research project of Henan provincial science and Technology Department (NO: 182102210493); Research on Foundation and Frontier Technology of Henan provincial science and Technology Department (NO:142300410099).

语种：英文

外文关键词：Automatic guided vehicles - Charging (batteries) - Extended Kalman filters - Lithium-ion batteries

摘要：The purpose of this study is to estimate the charge state of Automated Guided Vehicle (AGV) battery and verify it by simulation experiment. In this study, based on the equivalent model of Thevenin battery and lithium ion battery as the template, the improved extended Kalman filter method is applied to estimate the charged state of AGV batteries. Experiments show that the improved extended Kalman filter method based on Thevenin battery equivalent model is more accurate than the traditional integral method error in estimating the state of charge of the battery in the discharge state. In summary, based on the Thevenin battery equivalent model, the improved extended Kalman filter method is used to estimate the state of charge of the battery for AGV, which is in line with the practical application requirements and is of great significance for the sustainable development of the battery in the future. ? 2019, Cefin Publishing House. All rights reserved.