现代信息科技2024，Vol.8Issue(21)：11-15,19,6.DOI:10.19850/j.cnki.2096-4706.2024.21.003
基于优化OCV-AH积分法的SOC估计
SOC Estimation Based on Optimized OCV-AH Integration Method
陶正顺 1胡官洋 1刘思哲1
作者信息
- 1. 江南大学 物联网工程学院,江苏 无锡 214122
- 折叠
摘要
Abstract
In response to the problem of insufficient accuracy in estimating the State of Charge(SOC)of lithium batteries using traditional Ampere-hour integration method,this paper proposes an optimized Open Circuit Voltage-Ampere Hour integration method(OCV-AH)for SOC estimation algorithm of lithium batteries.The optimized OCV-AH integration method mainly includes the correction of static SOC initial values and the optimization of dynamic Ampere-hour integration method.Firstly,the static method data is segmented to fit the trickle discharge curve,and a high-precision OCV-SOC characteristic curve is obtained as the basis for correcting the initial SOC value.Then,after considering the effects of temperature,discharge rate,and number of charge discharge cycles on the actual capacity of the battery,a correction coefficient is calculated and added to the Ampere-hour integration method to dynamically correct the actual capacity of the battery.Finally,this paper builds a model of optimized OCV-AH integration method in Simulink,and compares the optimized Ampere-hour integration method with the traditional Ampere-hour integration method through simulation under the DST working conditions,verifying the accuracy of the optimized OCV-AH integration method designed in this paper for correction of initial SOC value and SOC dynamic estimation.关键词
SOC估计/优化OCV-AH积分法/OCV-SOC特性曲线/修正系数Key words
SOC estimation/optimized OCV-AH integration method/OCV-SOC characteristic curve/correction coefficient分类
信息技术与安全科学引用本文复制引用
陶正顺,胡官洋,刘思哲..基于优化OCV-AH积分法的SOC估计[J].现代信息科技,2024,8(21):11-15,19,6.
