机电工程技术2025，Vol.54Issue(9)：104-109,6.DOI:10.3969/j.issn.1009-9492.2025.09.020
基于粒子滤波的锂电池荷电状态监测系统的设计与仿真
Lithium Battery State of Charge Based on Particle Filtering Design and Simulation of Monitoring System
谢灿 1张喜龙 2周敏 1淳金川 1陈吉1
作者信息
- 1. 中国人民解放军32272部队21分队,成都 610214
- 2. 四川西沐建信科技有限公司,四川 眉山 620500
- 折叠
摘要
Abstract
In order to accurately estimate the battery capacity of electric vehicles,a particle filter based SOC estimation method is used.It is a probability based nonlinear estimation method that has wide applicability and can be used for various types of batteries,including lead-acid,nickel hydrogen,and lithium-ion batteries.Especially in complex environments and working conditions,compared with other SOC estimation methods,this method can achieve higher accuracy in estimation.The SOC estimation method and implementation steps are mainly introduced based on particle filtering,a simulation experimental circuit is build based on STM32 microcontroller,and the hardware and software programs of the lithium battery monitoring and protection simulation experimental circuit are designed.By measuring key parameters such as battery current,voltage,and temperature,the particle filtering algorithm is used to estimate the battery's state of charge.The experimental results show that there is a small error between the SOC estimation results and the measured results.This method can accurately estimate the SOC value of lithium-ion batteries and can monitor and alarm the battery's status in real time.It is a feasible approach.关键词
粒子滤波/SOC估算/单片机/剩余电量/监测Key words
particle filtering/SOC estimation/singlechip/remaining battery capacity/monitoring分类
计算机与自动化引用本文复制引用
谢灿,张喜龙,周敏,淳金川,陈吉..基于粒子滤波的锂电池荷电状态监测系统的设计与仿真[J].机电工程技术,2025,54(9):104-109,6.
