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船用电池管理系统及SOC算法研究
引用本文:赵德骥,冯玉龙,缪光辉,杨璇,李骁,石伟. 船用电池管理系统及SOC算法研究[J]. 柴油机, 2021, 43(4): 6-9, 42. DOI: 10.3969/j.issn.1001-4357.2021.04.002
作者姓名:赵德骥  冯玉龙  缪光辉  杨璇  李骁  石伟
作者单位:上海船用柴油机研究所,上海201108;船舶与海洋工程动力系统国家工程实验室,上海201108
基金项目:上海市科学技术委员会大功率千吨级高能超级电容新能源船舶设计研发;应用示范关键技术研究基金项目
摘    要:依照中国船级社《纯电池动力船舶检验指南》(CCS GUIDANCE NOTES GD22-2019)要求,设计了一种船舶通用型电池管理系统.针对大容量电池系统电池荷电状态估算不准确问题,开发了一种扩展的卡尔曼滤波算法.经试验验证,所设计的电池管理系统能够满足船用要求;所采用的SOC算法能够较准确地估算出电池剩余电量.

关 键 词:电池动力船舶  电池管理系统  电池荷电状态
收稿时间:2021-02-23
修稿时间:2021-05-31

Research on Marine Battery Management System and SOC Algorithm
Zhao Deji,Feng Yulong,Miu Guanghui,Yang Xuan,Li Xiao,Shi Wei. Research on Marine Battery Management System and SOC Algorithm[J]. Diesel Engine, 2021, 43(4): 6-9, 42. DOI: 10.3969/j.issn.1001-4357.2021.04.002
Authors:Zhao Deji  Feng Yulong  Miu Guanghui  Yang Xuan  Li Xiao  Shi Wei
Affiliation:Shanghai Marine Diesel Engine Research Institute, Shanghai 201108;National Engineering Laboratory for Marine and Ocean Engineering Power System, Shanghai 201108
Abstract:A general battery management system (BMS) for ships was designed according to the requirements of CCS GUIDANCE NOTES GD22-2019. Aiming at the inaccurate estimation of battery state of charge (SOC) in large capacity battery system, an extended Kalman filter algorithm was developed. The experimental results show that the BMS can meet the functional requirements of ship battery management system, and the SOC algorithm can accurately estimate the remaining battery power.
Keywords:battery powered ship   battery management system   battery state of charge
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