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

Zhang, Han; Yang, Jibin; Zhang, Jiye; Song, Pengyun; Li, Ming

doi:10.1177/0954409719849804

Cited by 16 publications

(11 citation statements)

References 49 publications

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“…To avoid a wrong local minima and reach the global optimum, several effective stochastic iterative methods can be used, such as the ant colony optimizations, 17 the genetic algorithms (GA), 18 the particle swarm optimizations (PSO), 14 and the sequential quadratic programming. 11 The convergence time is highly dependent on the size of the design search space.…”

Section: Optimal Design Methodologymentioning

confidence: 99%

Optimal design methodology for sizing a fuel cell/battery hybrid power source

Ceschia

Azib

Béthoux

et al. 2020

Proceedings of the Institution of Mechanical Engineers, Part A:

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This paper presents an optimal design methodology enabling to exhibit the best parameters of a complex energy system combing several components and their related control parts. It is based on a particle swarm optimization technique for component sizing, combined with optimal control to consider energy management constraints. This approximate resolution is valuable since it allows to achieve a robust and effective optimal design using low computational resources: it enables to tackle large search spaces in engineering time constraints. The selected use case is a fuel cell/battery hybrid power source based on a power-split parallel architecture. Its performance index is defined as the fuel consumption. Regarding this objective, the drivetrain components size and the control parameters values are both strongly coupled and physically constrained. In this context, the methodology makes a tradeoff between component sizing and energy saving. Simulation results show the relevance and robustness of this approach regarding different driving cycles and operating conditions. It validates the replicability of this method to other optimization problems in the field of energy optimization. A comprehensive review of the simulation tests highlights the present limits of this optimization and provides new perspectives for future works.

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Section: Optimal Design Methodologymentioning

confidence: 99%

Optimal design methodology for sizing a fuel cell/battery hybrid power source

Ceschia

Azib

Béthoux

et al. 2020

Proceedings of the Institution of Mechanical Engineers, Part A:

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“…Moreover, the SC chg and BAT chg are used to calculate the electricity costs which the power sources recharge to the initial state. The cost models in Equation (18) are expressed in economic terms, and have been detailed by our previous research in [26].…”

Section: Optimization Objectivementioning

confidence: 99%

“…Olivier et al [25] utilized PSO to optimize five driving parameters for the FC vehicle, in order to maximize vehicle performance. Zhang et al [26] used the multi-population GA and the artificial fish swarm algorithm to reduce the operating costs of the high-power hybrid vehicle. GO can obtain good global performance, however, these methods are hard to real-time apply due to the heavy computation load.…”

Section: Introductionmentioning

confidence: 99%

“…So, the hybrid system, in a motor unit, consists of an FC system (150 kW), two battery packs (40 Ah) and three SC packs (45 F). The basic parameters of the power sources are summarised in Table 2, and the parameters of the objective function can be found in [26]. To show the performance of the strategy mentioned in this paper clearly, two strategies are chosen as benchmarks: one is the OMC strategy [26], and another is FA-based OMC (F-OMC), which uses the FA to optimize the power limitations of OMC.…”

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confidence: 99%

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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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“…[9]. The control algorithms proposed to reduce hydrogen consumption significantly reduce the cost of the system compared to a tramway connected to the electrical grid [10]. However, it is feasible to supply the tramway with FC, batteries without SC to reduce the weight of the vehicle.…”

Section: Introductionmentioning

confidence: 99%

Feasibility study of a renewable system (PV/HKT/GB) for hybrid tramway based on fuel cell and super capacitor

Arévalo

Caño

Benavides

et al. 2021

IET Renewable Power Gen

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The configuration, modelling and control of several possible hybrid systems for the propulsion of the existing tramway in Cuenca-Ecuador are analysed. The system consists of novel renewable sources: Photovoltaic energy, hydrokinetic turbines and a biomass gasifier, which increases the reliability of the system and reduces CO 2 emissions. In addition, a proton exchange fuel cell and a super capacitor thatsupply the necessary power for the tramway, as well as, a hydrogen tank that stores the excess energy. Energy management is done through renewable sources that recharge the super capacitor and the fuel cell at the charging stations along the tramway route. Different renewable hybrid systems have been analysed, which indicates that the most favourable case from a technical, environmental and economic point of view using data analysis and machine learning techniques is S4. Sensitivity analyses allow the study of variables such as CO 2 , net present cost and COE for different demand variations, as well as, for the minimum state of charge in the super capacitor. The results indicate the optimal net present cost is M$ 1.46 and 0.12 $ kWh −1 in cost of energy, validity of the proposed system in the round trip of the tramway. 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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Optimal energy management of a fuel cell-battery-supercapacitor-powered hybrid tramway using a multi-objective approach

Cited by 16 publications

References 49 publications

Optimal design methodology for sizing a fuel cell/battery hybrid power source

Optimal design methodology for sizing a fuel cell/battery hybrid power source

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

Feasibility study of a renewable system (PV/HKT/GB) for hybrid tramway based on fuel cell and super capacitor

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