Development of master-slave energy management strategy based on fuzzy logic hysteresis state machine and differential power processing compensation for a PEMFC-LIB-SC hybrid tramway

Peng, Fei; Zhao, Yuanzhe; Li, Xiaopeng; Liu, Zhixiang; Chen, Weirong; Yang, Liu; Zhou, Donghua

doi:10.1016/j.apenergy.2017.08.128

Cited by 44 publications

(13 citation statements)

References 42 publications

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“…As mentioned, the FC system electrical efficiency for the Air-LFW strategy and the Fuel-LFW strategy is of 1.61% and 3.45%, being lower than about 7% electrical efficiency reported in [81], where the master-slave strategy based on fuzzy logic control and power compensation method is only focused on increasing the electrical efficiency of the PEMFC system. Considering once again the main advantage of the proposed strategies based on a mixed optimization function ( f (v 1 , v 2 ) = k net P FCnet + k f uel Fuel e f f ) to easily change the optimization objective (which can be the FC net power P FCnet maximization if k fuel = 0 or fuel economy maximization if k fuel 0), it is worth mentioning that this feature could be very interesting for implementing in FC vehicles.…”

Section: Discussionmentioning

confidence: 64%

Energy Efficiency and Fuel Economy of a Fuel Cell/Renewable Energy Sources Hybrid Power System with the Load-Following Control of the Fueling Regulators

Bizon

Thounthong

2020

Mathematics

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Two Hybrid Power System (HPS) topologies are proposed in this paper based on the Renewable Energy Sources (RESs) and a Fuel Cell (FC) system-based backup energy source. Photovoltaic arrays and wind turbines are modeled as RESs power flow. Hydrogen and air needed for FC stack to generate the power requested by the load are achieved through the Load-Following control loop. This control loop will regulate the fueling flow rate to load level. A real-time optimization strategy for RES/FC HPS based on Extremum Seeking Control will find the Maximum Efficiency Point or best fuel economy point by control of the boost converter. Therefore, two HPS configurations and associated strategies based on Load-Following and optimization loops of the fueling regulators were studied here and compared using the following performance indicators: the FC net power generated on the DC bus, the FC energy efficiency, the fuel consumption efficiency, and the total fuel consumption. An increase in the FC system’s electrical efficiency and fuel economy of up to 2% and 12% respectively has been obtained using the proposed optimization strategies compared with a baseline strategy.

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Section: Discussionmentioning

confidence: 64%

Energy Efficiency and Fuel Economy of a Fuel Cell/Renewable Energy Sources Hybrid Power System with the Load-Following Control of the Fueling Regulators

Bizon

Thounthong

2020

Mathematics

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“…As shown in Figure 3, the ECMS contains two processes. In the ECMS process, the calculation of P b,opt depends on the balance factor µ b and SOC b , as seen in Equations (12)- (14). The relationships between P b,opt and SOC b , with different balance factor (BF), are illustrated in Figure 4a.…”

Section: Control Strategymentioning

confidence: 99%

“…As the second power compensation, the battery improves the dynamic performance of the whole hybrid system. Besides, the battery and SC can absorb braking energy [14].…”

Section: Introductionmentioning

confidence: 99%

A Firefly Algorithm Optimization-Based Equivalent Consumption Minimization Strategy for Fuel Cell Hybrid Light Rail Vehicle

et al. 2019

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To coordinate multiple power sources properly, this paper presents an optimal control strategy for a fuel cell/battery/supercapacitor light rail vehicle. The proposed strategy, which uses the firefly algorithm to optimize the equivalent consumption minimization strategy, improves the drawback that the conventional equivalent consumption minimization strategy takes insufficient account of the global performance for the vehicle. Moreover, the strategy considers the difference between the two sets of optimized variables. The optimization objective is to minimize the daily operating cost of the vehicle, which includes the total fuel consumption, initial investment, and cycling costs of power sources. The selected case study is a 100% low-floor light rail vehicle. The advantages of the proposed strategy are investigated by comparison with the operating mode control, firefly algorithm-based operating mode control, and equivalent consumption minimization strategy. In contrast to other methods, the proposed strategy shows cost reductions of up to 39.62% (from operating mode control), 18.28% (from firefly algorithm-based operating mode control), and 13.81% (from equivalent consumption minimization strategy). In addition, the proposed strategy can reduce fuel consumption and increase the efficiency of the fuel cell system.

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“…An ESS can recycle braking energy and supplement the PEMFC output power during acceleration. 7 In general, an ESS includes a battery (BT) pack and/or a supercapacitor (SC) pack. 8 A BT presents a higher specific energy, and an SC presents a higher specific power.…”

Section: Introductionmentioning

confidence: 99%

“…Based on that research, Li et al 19 combined the fuzzy control with a wavelet transform and proposed a power sharing strategy for an FC hybrid tramway. Peng et al 7 developed a master-slave EMS in order to optimise the oxygen excess ratio operation for the PEMFC system of a tramway. Optimisation-based strategies have also been widely researched.…”

Section: Introductionmentioning

confidence: 99%

Optimal energy management of a fuel cell-battery-supercapacitor-powered hybrid tramway using a multi-objective approach

Zhang

Yang

Zhang

et al. 2019

Proceedings of the Institution of Mechanical Engineers, Part F:

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Achieving an optimal operating cost is a challenge for the development of hybrid tramways. In the past few years, in addition to fuel costs, the lifespan of the power source is being increasingly considered as an important factor that influences the operating cost of a tramway. In this work, an optimal energy management strategy based on a multi-mode strategy and optimisation algorithm is described for a high-power fuel cell hybrid tramway. The objective of optimisation is to decrease the operating costs under the conditions of guaranteeing tramway performance. Besides the fuel costs, the replacement cost and initial investment of all power units are also considered in the cost model, which is expressed in economic terms. Using two optimisation algorithms, a multi-population genetic algorithm and an artificial fish swarm algorithm, the hybrid system's power targets for the energy management strategy were acquired using the multi-objective optimisation. The selected case study includes a low-floor light rail vehicle, and experimental validations were performed using a hardware-in-the-loop workbench. The results testify that an optimised energy management strategy can fulfil the operational requirements, reduce the daily operation costs and improve the efficiency of the fuel cell system for a hybrid tramway.

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Development of master-slave energy management strategy based on fuzzy logic hysteresis state machine and differential power processing compensation for a PEMFC-LIB-SC hybrid tramway

Cited by 44 publications

References 42 publications

Energy Efficiency and Fuel Economy of a Fuel Cell/Renewable Energy Sources Hybrid Power System with the Load-Following Control of the Fueling Regulators

Energy Efficiency and Fuel Economy of a Fuel Cell/Renewable Energy Sources Hybrid Power System with the Load-Following Control of the Fueling Regulators

A Firefly Algorithm Optimization-Based Equivalent Consumption Minimization Strategy for Fuel Cell Hybrid Light Rail Vehicle

Optimal energy management of a fuel cell-battery-supercapacitor-powered hybrid tramway using a multi-objective approach

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