摘要
针对负载波动对纯电动船电池使用寿命和电能质量的影响,提出一种由支持向量机(Support Vector Machine,SVM)、低通滤波器和阈值规则组成的能量管理策略。建立能量管理策略评价模型,对滤波器的时间常数进行优化。运用支持向量机识别船舶工况,从而选择相应的低通滤波器进行功率分配。对基于该能量管理策略的复合电源和被动式复合电源进行仿真测试,经对比,在该策略控制下的电池电流曲线更平滑,电池使用寿命得到延长,母线电压波动更小,电能质量得到提高。
Aiming at the influence of load fluctuation on the power quality and the battery life on electric ships,the ship energy management strategy consisting of Support Vector Machine（ SVM）,low-pass filter choosing and threshold rule is proposed. The energy management strategy evaluation model is established to optimize the time constant of the filter. The ship condition is identified by the Support Vector Machine,and the appropriate low-pass filter for power distribution is chosen accordingly. Simulation results show that the discharging current of battery controlled according to proposed energy management strategy is smoother than the passive energy source,giving improved power quality and the prolonged battery life.
作者
张泽辉
高海波
陈辉
林治国
宫文峰
ZHANG Zehuia;b; GAO Haiboa;b ; CHENHuia;b ; LIN Zhigttoa; ; GONG Wenfenga;(Key Laboratory of High Performance Ship Technology of Ministry of Education ;School of Energy and Power Engineering, Wuhan University of Technology, Wuhan 430063, China)
出处
《中国航海》
CSCD
北大核心
2018年第3期16-20,共5页
Navigation of China
基金
国家自然科学基金(51579200
51507121)
中央高校基本科研业务费资助(185205008)
