Author(s): Xiangqian Meng; Yuzeng Wu; Zhibin Liu; Rong Huang; Ping Yi
Linked Author(s):
Keywords: Polar ships; Hybrid power systems; Manipulation; Energy management strategy; Multi-objective optimization
Abstract: Polar hybrid electric ships operate under strongly time-varying environmental disturbances, where manipulation operation and energy management strategy are coupled through the induced propulsion load. To bridge the gap between manipulation optimization and energy management strategy (EMS), this study firstly decodes the propulsion demand through an explicit environment–drag–propulsion–load chain, moving beyond conventional speed–power mapping. Then, an optimized full-route load trajectory is generated as a unified input for comparative evaluation of three architectures: diesel, diesel–battery (ESS), and diesel–battery–supercapacitor (HESS). Results indicates that the manipulation optimization recues acceleration smoothness, fuel-related proxy objective, and the environmental encounter risk by 5.05%, 2.24%, and 1.51%, respectively. At the system level, the total fuel consumption is 632.126 t, 588.508 t, and 605.380 t for cases 1–3, respectively, showing that the ESS configuration yields the strongest cumulative fuel-saving benefit. However, the HESS configuration provides better transient burden organization and lower battery stress by separating low-frequency and high-frequency regulation tasks. These findings suggest that the manipulation optimization alters the comparative effectiveness of power architectures and leads to a split optimum between cumulative return and dynamic-quality performance.
Year: 2026