摘要
精确估计船用锂电池的荷电状态,并根据船舶运行工况对锂电池组进行健康管理是保障船舶安全、经济运营的关键。通过最小单体负载电压Vmin-无迹卡尔曼滤波(UKF)法对船用锂电池组的荷电状态(SOC)进行估计,仿真验证Vmin-UKF法在估算电池组SOC时有较高的精度;同时,结合船舶运行工况研发锂电池组健康管理策略,对船用锂电池组的SOC、单体电压、电流和光伏发电功率等参数进行综合分析,将电池状态分为健康、亚健康和不健康3种状态。实船运行结果表明,该电池组健康管理能保障锂电池组工作在安全范围内,有效促进船舶安全运行。
Accurately estimating the state of charge of lithium batteries and the health management of lithium battery packs according to the operating conditions of ships are the key to ensure the safe and economic operation of ships. The state of charge(SOC) estimation of the marine lithium battery pack is verified by the Vmin unscented Kalman filter. The simulation verifies that the Vmin unscented Kalman filter method has higher accuracy in estimating the battery pack SOC. At the same time, researching on the health management strategy of lithium battery packs in combination with ship operating conditions and analyzing the state of charge, single voltage, current and photovoltaic power of marine lithium battery pack, the battery status is divided into three states, that is, healthy, sub-healthy and unhealthy. The actual ship operation shows that the battery pack health management can ensure the lithium battery pack work within the safe range and effectively promote the safe operation of the ship.
作者
王金铎
俞万能
朱永怀
尹自斌
WANG Jinduo;YU Wanneng;ZHU Yonghuai;YIN Zibin(School of Marine Engineering,Jimei University,Fujian Xiamen 361021,China;Fujian Provincial Key Laboratory of Naval Architecture and Ocean Engineering,Fujian Xiamen 361021,China)
出处
《船舶工程》
CSCD
北大核心
2020年第4期15-20,60,共7页
Ship Engineering
基金
国家自然科学基金(51679106
51779102)
福建省科技重大项目(2018H6014)。
关键词
纯电动船舶
无迹卡尔曼滤波
锂电池
组健康管理
pure electric ship
unscented Kalman filter
lithium battery
pack health management
