Research progress on performance of fuel cell system utilized in vehicle

Duan, Junfa; He, Yiming; Zhu, Honggeng; Qin, Gaolin; Wei, Wei

doi:10.1016/j.ijhydene.2018.08.039

Cited by 32 publications

(8 citation statements)

References 46 publications

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“…The fuel cell system works as follows: DC/DC converter convert the required power P fr of fuel cell system according to its efficiency, and calculate the demand for the fuel cell engine power Ps*; then check the FCE P-I Curve, find out the fuel cell current I* (the actual fuel cell current I), and input the current to the stack model to simulate the load current; at the same time, the demand current I* need to be converted to H 2 Flow Rate and Air Flow Rate, and after inquiring hydrogen storage, the hydrogen and air will be provided to the stack, to power the stack, in order to meet the power demand for vehicle to fuel cell. 25…”

Section: Modeling Of Fcb Power Systemmentioning

confidence: 99%

Research on Modeling and Simulation of Fuel Cell Bus Power System Based on Forward-Backward energy flow balance method

2022

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The modeling and simulation research of fuel cell buses’ power system is an important part of accelerating the process of industrialization. This paper firstly analyzes the advantages and disadvantages of different topologies of power systems to determine the optimal configuration, then conducts the parameter matching study of the power system, derives and determines the main vehicle dynamics parameters and the total power demand of the power system, and further completes the parameter matching of the drive motor, gear ratio and power supply, as well as the design of the fuel cell stack. On the Matlab/Simulink platform, the forward-backward energy flow balance method is used to establish a fuel cell power system model divided into power calculation modules and power shunt modules. Finally, model simulation and comparative analysis was car-ried out. The simulation results of the power system model in this paper were compared with the data of the 2010 World Expo FCB real-vehicle test. The result shows that the simulation results of the dynamic system is in good agreement with the real vehicle data. The power system model conforms to the actual situation, has feasibility and high engineering value.

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Section: Modeling Of Fcb Power Systemmentioning

confidence: 99%

Research on Modeling and Simulation of Fuel Cell Bus Power System Based on Forward-Backward energy flow balance method

2022

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“…, [11] , [12] , [13] where is the interfacial resistance coefficient at the ionomer film surface, is the interfacial resistance coefficient at the Pt surface, (m) is the ionomer thickness, , (m 2 s -1 ) is the oxygen diffusivity in the ionomer. The effective surface area of ionomer to one Pt particle ( ⁄ ) is adopted to modify the oxygen molecules' diffusion path through the ionomer film 21,25 .…”

Section: Local Oxygen Transport Model Of CCLmentioning

confidence: 99%

“…The performance of PEMFC is affected by many factors, such as membrane electrode thickness, voltage loss, ionomer conductivity, etc [8][9][10] . Among them, the voltage loss is the most critical factor to hinder the PEMFC's performance to improvement 11 . At present, the largest voltage loss is caused by the sluggish oxygen reduction reaction, which composes a limited speed of oxygen transport to the active sites and slow rates for the four-electron electrochemical process in the cathode catalyst layer (CCL) 12 .…”

Section: Introductionmentioning

confidence: 99%

(Digital Presentation) Effects of Catalyst Dimension Parameters on Local Oxygen Transport in Cathode Catalyst Layer of Proton Exchange Membrane Fuel Cell

Li¹,

Tang²,

Li³

et al. 2022

ECS Trans.

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Improving the performance of proton exchange membrane fuel cells (PEMFCs) can help accelerate their large-scale commercial application. In this paper, an agglomerate model is proposed and developed by coupling a one-dimensional local oxygen transport model with a one-dimensional multiphase non-isothermal fuel cell sub-model to study the influences of catalyst dimension parameters (Pt radius, Pt average dispersity, carbon radius) on local oxygen transport and cell performance. And this elaborate model shows that the smaller Pt radius, carbon radius, and the higher Pt average dispersity can reduce the transport distance of oxygen molecules from the pores to the active sites, and then decrease the local resistance. Based on the above understanding, the optimum performance of the optimized cell with a Pt loading of 0.2 mg cm-2 is improved by 22%, slightly higher than the original cell with a Pt loading of 0.4 mg cm-2, which achieves a 50% reduction in Pt loading while maintaining the cell performance. This research will give a guide for improving cell performance.

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“…Constraints include capacity configuration constraints of WG, PV, CHP, EC, MET, GB and HST (28), operating power constraint of CHP, GB, EC and MET ( 29)- (32), HST hydrogen storage constraints (33), HST hydrogen release constraints (34), HST hydrogen level constraint (35), expected electricity, heat and hydrogen not supplied constraints (36)- (39). The research focus of this paper is on the SMEH capacity configuration model, so the power and natural gas network constraints are not considered for the time being, and these constraints will be considered in the next study.…”

Section: Constraintsmentioning

confidence: 99%

Capacity configuration optimization of standalone multi‐energy hub considering electricity, heat and hydrogen uncertainty

Hou

Liu

Xiao

et al. 2021

Energy Conversion and Econom

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Standalone multi-energy hub is the next frontier of electric grid modernization. It is vital to optimize the standalone multi-energy hub capacity configuration to enhance the hub reliability, economic efficiency, and sustainability. Therefore, this paper proposes a novel multi-objective capacity configuration model for standalone multi-energy hub considering electricity, heat and hydrogen energy uncertainty. First, the standalone multi-energy hub model with electricity, heat, and hydrogen energy is established. It takes into account photovoltaic generators, wind generation, combined heat and power units, power to gas, gas boiler and hydrogen storage tank to meet the electrical, thermal and hydrogen energy demands. At the same time, in order to solve the influence of uncertainty on hub capacity configuration, the typical source-load scenarios are established considering the uncertainty of wind speed, solar radiation and energy demands. On this basis, the objective functions and constraints of the capacity configuration model are presented. The improved hybrid multi-objective particle swarm optimization algorithm and fuzzy membership function are used to solve the model. Finally, case studies verified the effectiveness and rationality of the proposed model.This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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Research progress on performance of fuel cell system utilized in vehicle

Cited by 32 publications

References 46 publications

Research on Modeling and Simulation of Fuel Cell Bus Power System Based on Forward-Backward energy flow balance method

Research on Modeling and Simulation of Fuel Cell Bus Power System Based on Forward-Backward energy flow balance method

(Digital Presentation) Effects of Catalyst Dimension Parameters on Local Oxygen Transport in Cathode Catalyst Layer of Proton Exchange Membrane Fuel Cell

Capacity configuration optimization of standalone multi‐energy hub considering electricity, heat and hydrogen uncertainty

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