摘要
[目的]为提升船舶的能源利用率,对多因素影响下的燃料电池/锂电池混合动力船舶能效优化方法进行分析。[方法]基于Matlab/Simulink仿真建模软件,建立对象船舶的能效仿真模型,研究通航环境要素对船舶能效的影响。考虑动力源特性和船舶功率需求,提出基于模糊逻辑的功率分配策略,以优化系统能量流动。然后在此基础上,以系统总能耗最低为优化目标,建立考虑多因素的船舶航速非线性优化模型,采用鲸鱼优化算法开展优化模型动态寻优,并进行不同航行方法和航行时间约束下的能效优化分析。[结果]结果显示,在总航行时间不变的情况下,采用所提的考虑多因素的船舶能效优化方法可以降低船舶5.04%的总能耗和13.16%的燃料电池氢气总消耗。[结论]所述方法对船舶节能减排具有积极的作用,同时对提高船舶续航力和经济性具有重要意义。
[Objective]In order to improve the energy efficiency of ships,this paper studies the energy efficiency optimization method of fuel cell/lithium battery hybrid ships under the influence of multiple factors.[Method]Based on MATLAB/Simulink simulation modeling software,simulation models of the fuel cell,lithium battery,DC-DC converter,ship hydrostatic resistance,ship navigation environmental resistance,ship motion and ship propeller are built respectively.On this basis,an energy efficiency simulation model of the target ship is established,and the influence of navigational elements such as wind speed,wind direction,water depth and wave height on the energy efficiency of the ship is studied.Aiming at the target ship’s hybrid system structure,a power allocation strategy based on fuzzy logic is used to optimize the system’s energy flow.Taking the minimum total energy consumption of the system as the optimization goal and considering multiple internal and external constraints,a non-linear model of ship speed optimization in light of multiple factors is established.The intelligent optimization algorithm of the whale population is used to carry out the dynamic optimization of the non-linear ship speed model,and a comparative analysis of energy efficiency optimization under different navigation methods is performed.[Results]The results show that under the condition that the total voyage time remains unchanged,the proposed multi-factor optimization method of ship energy efficiency can reduce total energy consumption by 5.04% and total hydrogen fuel cell consumption by 13.16%.[Conclusion]The proposed method has a positive effect on ship energy conservation and emission reduction,giving it great significance for improving the endurance and economy of ships.
作者
胡东亮
袁裕鹏
瞿小豪
尹奇志
HU Dongliang;YUAN Yupeng;QU Xiaohao;YIN Qizhi(School of Transportation and Logistics Engineering,Wuhan University of Technology,Wuhan 430063,China;National Engineering Research Center for Water Transport Safety,Wuhan 430063,China)
出处
《中国舰船研究》
CSCD
北大核心
2022年第6期155-166,共12页
Chinese Journal of Ship Research
基金
工信部高技术船舶专项基金资助项目(工信部联装函[2018]473号)。
关键词
能效优化
混合动力船舶
通航环境
鲸鱼算法
energy efficiency optimization
hybrid ship
navigation environment
whale optimization algorithm(WOA)
