[1]王 秋 霞.基于MCS D2P的动力锂电池管理系统主控软件[J].深圳大学学报理工版,2018,35(5):502-508.[doi:10.3724/SP.J.1249.2018.05502]
　WANG Qiuxia.The battery management system master control software for power lithium battery based on the MCS D2P development platform[J].Journal of Shenzhen University Science and Engineering,2018,35(5):502-508.[doi:10.3724/SP.J.1249.2018.05502]
点击复制

基于MCS D2P的动力锂电池管理系统主控软件()
分享到：

《深圳大学学报理工版》[ISSN:1000-2618/CN:44-1401/N]

卷:
第35卷
期数:
2018年第5期
页码:
502-508
栏目:
电子与信息科学
出版日期:
2018-09-25

文章信息/Info

Title:
The battery management system master control software for power lithium battery based on the MCS D2P development platform
作者:
王 秋 霞
福建船政交通职业学院机械工程系，福建福州 350007
Author(s):
WANG Qiuxia
Mechanical Engineering Department, Fujian Chuanzheng Communications College, Fuzhou 350007, Fujian Province, P.R.China
关键词:
信息处理技术; MCS D2P开发平台; 动力锂电池; 电池管理系统; 数据采集; 荷电状态估算
Keywords:
information processing technology;  MCS D2P development platform;  power lithium battery;  battery management system;  data acquisition;  state of charge (SOC) estimation
分类号:
TP 274
DOI:
10.3724/SP.J.1249.2018.05502
文献标志码:
A
摘要:
为克服传统的电池管理系统（battery management system, BMS）开发方法不仅不利于先进算法的软件实现，且存在开发周期长和费用高的缺点，基于MCS D2P快速控制原型开发平台搭建BMS硬件，针对动力锂电池由多节电芯串联而成的特点，分析BMS对电池组总电压、电流、电芯电压和温度的实时测量，对电池剩余电量实时评价的功能，以及由主控模块、检测模块和均衡管理模块构成的主要硬件结构．设计主控软件数据流、主程序流程图、数据采集程序流程图和荷电状态（state of charge，SOC）估算程序流程图．以由15节电芯构成的48 V、50 Ah磷酸铁锂电池组为试验对象，设计周期性充放电测试试验，得到电池总电压和电流的测量误差均小于±0.5%，温度的测量误差小于±0.5 ℃，SOC实测值与理论值差值小于8%，验证了主控软件设计的可行性．
Abstract:
The traditional battery management system (BMS) development method not only is bad against the advanced algorithm implemented by software, but also has a lone development cycle and high development cost. To overcome these problems, based on the MCS D2P rapid control prototype development platform, the BMS hardware is built. The power lithium battery is made up of a multi battery cell in series. In view of this characteristic, the BMS real-time measurements of battery voltage, current, cell voltage and temperature are analyzed, the BMS real-time evaluation of battery residual power is analyzed, and the main hardware structure composed of main control module, detection module and equalization management module is analyzed. On this basis, the data flow of master control software, the main program flow chart, the data acquisition program flow chart, the state of charge (SOC) estimation program flow chart are designed. Taking a 48 V/50 Ah lithium iron phosphate battery pack consisting of 15 cells as the test object, the periodic charging and discharging test is designed. The test results show that the measurement error of the battery total voltage and current is less than ±0.5%, the measurement error of the temperature is less than ±0.5 ℃, the difference between the SOC measured value and the SOC theoretical value is also within 8%. So the feasibility and the correctness of the master control software design are verified.

相似文献/References:

[1]黄建军,李鹏飞,喻建平,等.基于类云模型聚类的多目标数据关联算法[J].深圳大学学报理工版,2010,27(1):11.
　HUANG Jian-jun,LI Peng-fei,YU Jian-ping,et al.Multitarget data association algorithm using cluster cloud model based c-means clustering[J].Journal of Shenzhen University Science and Engineering,2010,27(5):11.
[2]袁天然,廖文和,程筱胜,等.牙龈软组织变形仿真技术研究[J].深圳大学学报理工版,2010,27(1):21.
　YUAN Tian-ran,LIAO Wen-he,CHENG Xiao-sheng,et al.Research on gum tissue deformation simulation techniques[J].Journal of Shenzhen University Science and Engineering,2010,27(5):21.
[3]王品,谢维信,刘宗香,等.几种面向弹道目标跟踪算法的性能评估[J].深圳大学学报理工版,2012,29(No.5(377-470)):392.[doi:10.3724/SP.J.1249.2012.05392]
　WANG Pin,XIE Wei-xin,LIU Zong-xiang,et al.Performance evaluation of several methods for tracking a ballistic object[J].Journal of Shenzhen University Science and Engineering,2012,29(5):392.[doi:10.3724/SP.J.1249.2012.05392]
[4]范恩,谢维信,刘宗香.基于子航迹Hough变换的模糊航迹关联[J].深圳大学学报理工版,2013,30(No.6(551-660)):551.[doi:10.3724/SP.J.1249.2013.06551]
　Fan En,Xie Weixin,and Liu Zongxiang.Fuzzy track association using tracklet-based Hough transform[J].Journal of Shenzhen University Science and Engineering,2013,30(5):551.[doi:10.3724/SP.J.1249.2013.06551]
[5]徐静,王彩云.压缩感知测量矩阵优化混合方法[J].深圳大学学报理工版,2014,31(1):58.[doi:10.3724/SP.J.1249.2014.01058]
　Xu Jing and Wang Caiyun.A hybrid optimization method for measurement matrix in compressed sensing[J].Journal of Shenzhen University Science and Engineering,2014,31(5):58.[doi:10.3724/SP.J.1249.2014.01058]
[6]詹从来,龙伟,丁远超,等.基于FPGA的多路数据采集与处理系统设计[J].深圳大学学报理工版,2016,33(2):127.[doi:10.3724/SP.J.1249.2016.02127]
　Zhan Conglai,Long Wei,Ding Yuanchao,et al.Design of multi channel data collection and processing system based on FPGA[J].Journal of Shenzhen University Science and Engineering,2016,33(5):127.[doi:10.3724/SP.J.1249.2016.02127]
[7]李东,郭浩铭,田劲东,等.改进的DataMatrix码L形边精确定位方法[J].深圳大学学报理工版,2018,35(2):151.[doi:10.3724/SP.J.1249.2018.02151]
　LI Dong,GUO Haoming,TIAN Jindong,et al.An improved method of locating L-edges in DataMatrix codes[J].Journal of Shenzhen University Science and Engineering,2018,35(5):151.[doi:10.3724/SP.J.1249.2018.02151]
[8]李钢,郑鑫博,阳召成.一种基于多级自适应门限的计步算法[J].深圳大学学报理工版,2018,35(2):158.[doi:10.3724/SP.J.1249.2018.02158]
　LI Gang,ZHENG Xinbo,and YANG Zhaocheng.Pedometer method based on adaptive multilevel thresholding[J].Journal of Shenzhen University Science and Engineering,2018,35(5):158.[doi:10.3724/SP.J.1249.2018.02158]
[9]李正茂,陈大庆,刘马良.无人机SAR数据低比特量化及其复杂度分析[J].深圳大学学报理工版,2019,36(5):503.[doi:10.3724/SP.J.1249.2019.05503]
　LI Zhengmao,CHEN Daqing,and LIU Maliang.Low-bit quantization for UAV SAR data and its complexity analysis[J].Journal of Shenzhen University Science and Engineering,2019,36(5):503.[doi:10.3724/SP.J.1249.2019.05503]
[10]王武亮,江辉.基于多任务贝叶斯压缩感知的电能质量信号重构[J].深圳大学学报理工版,2021,38(1):77.[doi:10.3724/SP.J.1249.2021.01077]
　WANG Wuliang and JIANG Hui.Power quality signal reconstruction based on multitask Bayesian compressive sensing[J].Journal of Shenzhen University Science and Engineering,2021,38(5):77.[doi:10.3724/SP.J.1249.2021.01077]

更新日期/Last Update: 2018-08-21