An Energy Management System of a Fuel Cell/Battery  Hybrid Boat

Han, Jingang; Charpentier, Jean-Frédéric; Tang, Tianhao

doi:10.3390/en7052799

Cited by 167 publications

(103 citation statements)

References 13 publications

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“…Based on these inputs, the used 423 EMS converts the required load power into current and 424 splits it between the fuel cell and battery subsystems as 425 shown in Figure 10. The EMS subsystem using the state-426 based EMS is validated against the published results in [10] 427 for the same examined ship considering the typical load 428 requirements shown in Figure 2. By implementing the hy-429 brid fuel cell/battery system in Simulink as described ear-430 lier and using the same initial battery SOC of 65% as sug-431 gested in [10] …”

mentioning

confidence: 89%

“…There-31 fore, efforts have been made to investigate different EMS. 32 These strategies may aim to minimize hydrogen consump-33 tion [9], maximize fuel cell efficiency or overall efficiency 34 [10], reduce stresses on the hybrid system components [11], 35 maintain battery state of charge (SOC) or the bus voltage 36 at a certain level [9,12,13], minimize the operational cost 37 [14] or minimize the hybrid system weight and size [8]. 38 Whilst most of the studies about EMS give their atten-39 tion to the hydrogen consumption, which is certainly im- 40 portant, in this paper more focus is concentrated on the 41 total consumed energy taking into consideration the bat-42 passenger ship.…”

Section: Introductionmentioning

confidence: 99%

“…The values of the operating limits of the fuel cell and 182 battery systems are decided based on the voltage and cur-183 [10] Battery SOC State Load Power Fuel cell reference power SOC > 80% 1 ence between the fuel cell power and P load . As illustrated…”

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confidence: 99%

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An improved energy management strategy for a hybrid fuel cell/battery passenger vessel

Bassam

Phillips

Turnock

et al. 2016

International Journal of Hydrogen Energy

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Hybrid fuel cell propulsion systems for marine applications are attracting widespread interest due to the need to reduce ship emissions. In order to increase the potential of these systems, the design of an efficient energy management strategy (EMS) is essential to distribute the required power properly between different components of the hybrid system. For a hybrid fuel cell/battery passenger ship, a multi-scheme energy managements strategy is proposed. This strategy is developed using four schemes which are: state-based EMS, equivalent fuel consumption minimization strategy (ECMS), charge-depleting charge-sustaining (CDCS) EMS, the classical proportional-integral (PI) controller based EMS, in addition to a code that chooses the suitable scheme according to the simulation inputs. The main objective of the proposed multi-scheme EMS is to minimize the total consumed energy of the hybrid system in order to increase the energy efficiency of the ship.The world's first fuel cell passenger ship FCS Alsterwasser is considered and its hybrid propulsion system is modelled in MATLAB/Simulink environment. The performance of the developed multi-scheme EMS is compared to the four studied strategies in terms of total consumed energy, hydrogen consumption, total cost and the stresses seen by the hybrid fuel cell/battery system components considering a daily ship operation of 8 hours. Results indicate that a maximum energy and hydrogen consumption savings of 8% and 16.7% respectively can be achieved using the proposed multi-scheme strategy.

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confidence: 89%

Section: Introductionmentioning

confidence: 99%

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An improved energy management strategy for a hybrid fuel cell/battery passenger vessel

Bassam

Phillips

Turnock

et al. 2016

International Journal of Hydrogen Energy

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“…However, modeling, simulation and power management optimization of electric ferries with HPSs have not been extensively discussed. Only a few studies have discussed the use of HPSs in domestic ferry and boat applications, which mostly used classical and deterministic PMS methods [36][37][38][39][40][41]. In [36], the authors have studied and designed a hybrid fuel cell electric propulsion system for a domestic ferry and compared it with the performance of the existing diesel propulsion system.…”

Section: Introductionmentioning

confidence: 99%

Power management optimization of hybrid power systems in electric ferries

Al-Falahi

Nimma

Jayasinghe

et al. 2018

Energy Conversion and Management

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General rightsCopyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights.? Users may download and print one copy of any publication from the public portal for the purpose of private study or research. ? You may not further distribute the material or use it for any profit-making activity or commercial gain ? You may freely distribute the URL identifying the publication in the public portal ? Take down policyIf you believe that this document breaches copyright please contact us at vbn@aub.aau.dk providing details, and we will remove access to the work immediately and investigate your claim. Abstract-The integration of more-electric technologies, such as energy storage systems (ESSs) and electric propulsion, has gained attention in recent years as a promising approach to reduce fuel consumption and emissions in the maritime industry. In this context, hybrid power systems (HPSs) with direct current (DC) distribution are currently gaining a commendable interest in research and industrial applications. This paper examines the impact of using HPS with DC distribution and a battery energy storage system (BESS) over a conventional AC power system for short haul roll-on/roll-off (RORO) ferries. An electric ferry with a HPS is modeled in this study and the power management system is simulated using the Matlab/Simulink software. The result is validated using measured load profile of a ferry. The performance of the DC HPS is compared with the conventional AC system based on fuel consumption and emission reductions. An approach to estimate the fuel consumption of the diesel engine through calculation of specific fuel oil consumption (SFOC) is also presented. This study uses two optimization techniques: a classical power management method namely Rule-Based control (RB) and a meta-heuristic power management method known as Grey Wolf Optimization (GWO) to optimally manage the power sharing of the proposed HPS. Fuel consumption and emission indicators are also used to assess the performance of the two power management methods. The simulation results show that the HPS provides a 2.91 % and 7.48 % fuel consumption reduction using RB method and GWO method respectively. It is apparent from the result that the HPS has more fuel savings while running the diesel generator sets (DGs) at higher operational efficiency. It is interesting that the proposed HPS using both power management methods provided a 100 % emission reduction at berth. Finally, it was found that using a meta-heuristic optimization algorithm provides better fuel and emission reductions than a classical method.Keywords-Battery, DC power system, electric ferry, energy storage system, hybrid power system, power management.

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“…In case of a single energy storage (e.g., battery), which is the most common case in hybrid electric vehicle [10][11][12][13][14][15], the power management deals with one control variable (e.g., the FCS power or the battery power in case of a fuel cell/battery hybrid) and one controllable state (i.e., the battery state-of-charge). In comparison, adding a supercapacitor to the system implicates an additional degree-of-freedom with additional control variable and state.…”

Section: Open Accessmentioning

confidence: 99%

Power Management Optimization of an Experimental Fuel Cell/Battery/Supercapacitor Hybrid System

2015

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Abstract:In this paper, an experimental fuel cell/battery/supercapacitor hybrid system is investigated in terms of modeling and power management design and optimization. The power management strategy is designed based on the role that should be played by each component of the hybrid power source. The supercapacitor is responsible for the peak power demands. The battery assists the supercapacitor in fulfilling the transient power demand by controlling its state-of-energy, whereas the fuel cell system, with its slow dynamics, controls the state-of-charge of the battery. The parameters of the power management strategy are optimized by a genetic algorithm and Pareto front analysis in a framework of multi-objective optimization, taking into account the hydrogen consumption, the battery loading and the acceleration performance. The optimization results are validated on a test bench composed of a fuel cell system (1.2 kW, 26 V), lithium polymer battery (30 Ah, 37 V), and a supercapacitor (167 F, 48 V).

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An Energy Management System of a Fuel Cell/Battery Hybrid Boat

Cited by 167 publications

References 13 publications

An improved energy management strategy for a hybrid fuel cell/battery passenger vessel

An improved energy management strategy for a hybrid fuel cell/battery passenger vessel

Power management optimization of hybrid power systems in electric ferries

Power Management Optimization of an Experimental Fuel Cell/Battery/Supercapacitor Hybrid System

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