基于模糊逻辑推理的船舶并联气电混合动力系统能量最优分配研究

Optimal Energy Allocation of Ship Parallel Gas Electric Hybrid Power System Based on Fuzzy Logic Reasoning

关键词:  混合动力  模糊逻辑推理  动态协调  最优分配  动态响应

Key words:  Hybrid power  Fuzzy logic reasoning  Dynamic coordination  Optimal distribution  Dynamic response

摘要:

针对内河船舶工况启停变化频繁导致瞬态动力性较差、动态响应较慢等问题，提出并联气电混合动力系统改进方案，利用模糊逻辑推理方法来提升动力响应性能。以某内河拖船为研究对象进行混合动力系统参数匹配设计，通过对系统关键参数设计切换规则，建立基于逻辑门限的能量管理控制策略；为进一步优化逻辑门限方法主观设定边界阈值不可调节问题，提出基于“模糊逻辑推理+动态协调”能量最优分配策略。通过最优设计相关试验验证管理策略，结果表明：采用基于模糊逻辑推理的能量管理策略能使天然气发动机的平均负荷提升37.86%，平均效率提高2.74%，动态响应时间缩短44.45%。

Abstract:

In order to solve the problems of poor transient dynamic performance and slow dynamic response caused by frequent start-up and stop changes of inland ships， a system improvement scheme is presented based on parallel gas electric hybrid power. Fuzzy logic reasoning method is used to improve the dynamic response performance. Firstly， a hybrid power system parameter matching design is carried out with an inland water tug as the research object. Secondly， by designing switching rules for key system parameters， the energy management control strategy is established based on logic thresholds. In order to further optimize the logic threshold method， an energy optimal allocation strategy is proposed on the basis of ‘fuzzy logic reasoning + dynamic coordination’. The management strategy is verified by the optimal design related experiments. The results show that the energy management strategy based on fuzzy logic inference can increase the average load of natural gas engines by 37.86%. The average efficiency increases by 2.74%. The dynamic response time is shortened by 44.45%.