Energy optimization of logistics transport vehicle driven by fuel cell hybrid power system

Lü, Xueqin; Wang, Peisong; Meng, Lingzheng; Chen, Chao

doi:10.1016/j.enconman.2019.111887

Cited by 41 publications

(9 citation statements)

References 28 publications

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“…The SA is able to resist a local minimum and ultimately tends to the global optimum. The SA was used to monitor the maximum power point and improve the stability of the FC power to minimize fluctuations 166 . Both the parameters and control feedbacks can be optimized quickly and easily by the CP.…”

Section: Energy Management Strategiesmentioning

confidence: 99%

Optimization and cutting‐edge design of fuel‐cell hybrid electric vehicles

Luo

et al. 2021

Int J Energy Res

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Summary The transportation sector consumes a large amount of fossil fuels consequently exacerbating the global environmental and energy crisis. Fuel‐cell hybrid electric vehicles (FCHEVs) are promising alternatives in the continuous transition to clean energy. This article summarizes the recent advances pertaining to the optimization and cutting‐edge design of fuel‐cell hybrid electric vehicles, especially the fuel cell + battery hybrid topology, and discusses current technological bottlenecks hindering the commercialization of FCHEVs. The development of HEVs, markets, environmental and economic benefits, components, topologies, energy management strategies, degradation mechanisms, and safety standards of FCHEVs are reviewed. Proton exchange membrane fuel cells constitute the mainstream and most mature fuel cell technology for automobile applications. Battery hybridization is currently favored among the available FCHEV topological designs to improve the dynamic response and recover the braking energy. Energy management strategies encompassing logic rule‐based simple methods, intelligent control methods, global optimization strategies, and local optimization strategies are described, and issues and challenges encountering FCHEVs are discussed. In addition to promoting the construction of hydrogen supply facilities, future efforts are expected to focus on solving problems such as the high cost, durability of fuel cells, cold start, lifetime of batteries, security and comfort, system optimization, energy management systems, integration, and diagnosis of faults. This review serves as a reference and guide for future technological development and commercialization of FCHEVs. Highlights Advances of the optimization and cutting‐edge design of FCHEVs are reviewed. Battery hybridization is currently favored among the available topological designs. Benefits, components, topologies, and energy management strategies are described. Markets, degradation mechanisms, and safety standards of FCHEVs are introduced. Technological bottlenecks hindering the commercialization of FCHEVs are discussed.

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Section: Energy Management Strategiesmentioning

confidence: 99%

Optimization and cutting‐edge design of fuel‐cell hybrid electric vehicles

Luo

et al. 2021

Int J Energy Res

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“…Similar to city bus application, FCREx architecture was also explored for urban logistics vehicles, using tools such as convex programming or fuzzy logic controllers to solve the sizing problem. The combination of FC systems together with moderate-capacity batteries showed that the range of urban logistics vehicles could be extended with respect to BEV and the H 2 consumption decreased by half [7]. Differently from the city bus application, the optimum battery capacity was estimated to be around 29 kWh, while the optimum FC stack maximum power depended on H 2 price [8].…”

Section: Introductionmentioning

confidence: 99%

Optimization and sizing of a fuel cell range extender vehicle for passenger car applications in driving cycle conditions

et al. 2021

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“…In Reference 21, an online energy management strategy using dynamic particle swarm optimization was proposed to optimize power distribution among energy sources and minimize fuel consumption. In Reference 22, a dynamic programming approach was used to optimize the power management of fuel cell and lithium batteries, and a simulated annealing algorithm was used to optimize the maximum power point to improve the output accuracy.…”

Section: Introductionmentioning

confidence: 99%

Energy management strategy for fuel cell hybrid vehicles considering optimal performance of multiple energy sources combined with ant colony algorithm

Tan

Chen

et al. 2022

Energy Storage

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To compensate for the slow dynamic response of fuel cell system (FCS) in fuel cell hybrid electric vehicles (FCHEVs), battery and supercapacitor are widely used as auxiliary supply energy sources in FCHEVs. How to reasonably allocate the required power among the three energy sources, reduce the fuel consumption and the SOC fluctuations of auxiliary energy sources becomes a tough problem to be solved. In this paper, we propose an energy management strategy (EMS) based on fuzzy control, considering the multiple constraints of hydrogen consumption and auxiliary energy SOC fluctuations of FCHEV. In this paper, the ant colony algorithm (ACA) is used for the first time to optimize the membership functions parameters of the dual fuzzy controller. The results obtained are verified in Matlab/Simulink. The proposed ACA optimized EMS can effectively reduce the equivalent hydrogen consumption and the SOC fluctuation of battery and supercapacitor by proving in four typical driving conditions.

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Energy optimization of logistics transport vehicle driven by fuel cell hybrid power system

Cited by 41 publications

References 28 publications

Optimization and cutting‐edge design of fuel‐cell hybrid electric vehicles

Optimization and cutting‐edge design of fuel‐cell hybrid electric vehicles

Optimization and sizing of a fuel cell range extender vehicle for passenger car applications in driving cycle conditions

Energy management strategy for fuel cell hybrid vehicles considering optimal performance of multiple energy sources combined with ant colony algorithm

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