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• W4205693012 abstract "Energy storage system (ESS) integrated all-electric ship (AES) is gaining popularity as it renders higher efficiency and emission reduction. Being an isolated system, generation and storage capabilities are limited, and hence network losses, mechanical and electrical load estimation must be modeled accurately to establish a reliable operation strategy. Thus, the presented work proposes a modeling and operation strategy based on the propulsion architecture, mission profile, operation modes, and thermal performance of ESS. The following aspects are incorporated to improve the accuracy. (1) Electrical load demand, and loss modeling at the generation and load side; (2) energy management system (EMS) for optimal energy dispatch; (3) and experiment-based ESS electrical characterization and cooling designs for the thermal management system. Firstly, mathematical models of electrical components and mechanical propulsion units are used to establish the net electrical load demand from the propulsion and auxiliary units. The parameters obtained from load models are used in EMS energy dispatch to minimize the fuel and thermal-performance-dependent ESS operation costs. Finally, generation side losses are included in the final dispatch to meet the net electrical load demand of the vessel. Based on electrical parameters from test setup and different cooling designs, a battery management system is modeled to estimate the ESS pouch’s temperature profile that is used as an operational constraint of EMS to discourage ESS from operating at high temperatures. Simulation results indicate the impact of AES propulsion architecture and ESS thermal performance on its operation. The results suggest the strong influences of mission profile and operation modes in designing a realistic operation schedule for the actual implementation." @default.
• W4205693012 created "2022-01-25" @default.
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• W4205693012 date "2022-04-01" @default.
• W4205693012 modified "2023-09-27" @default.
• W4205693012 title "Battery thermal performance oriented all-electric ship microgrid modeling, operation and energy management scheduling" @default.
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• W4205693012 doi "https://doi.org/10.1016/j.est.2022.103970" @default.
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