| 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 |
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| Research on Marine Battery Management System and SOC Algorithm |
| Zhao Deji,Feng Yulong,Miu Guanghui,Yang Xuan,Li Xiao,Shi Wei |
| 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. |
| Key words: battery powered ship battery management system battery state of charge |
