A coupled power-voltage equilibrium strategy based on droop control for fuel cell/battery/supercapacitor hybrid tramway

Zhang, Guorui; Li, Qi; Chen, Weirong; Meng, Xiang; Deng, Huiwen

doi:10.1016/j.ijhydene.2018.09.070

Cited by 26 publications

(10 citation statements)

References 32 publications

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“…DLCs provide high power density and low energy density, making them suitable for peak power shaving and maximizing recuperation of braking energy. They are often coupled with LBs in a hybrid energy storage system (HESS), that combines individual benefits offered by the two technologies (Dittus et al, 2011;Zhang et al, 2019aZhang et al, , 2019b. Flywheels offer fast charging and discharging rates; however, they are featured with various safety issues (González-Gil et al, 2013), high weight and self-discharging rates.…”

Section: Literature Reviewmentioning

confidence: 99%

“…This method is also used as the basis in the development of dynamic power factor control for FC/LB locomotive (Hong et al, 2018). Zhang et al (2019aZhang et al ( , 2019b proposed a firefly algorithm to optimize the parameters in equivalent consumption minimization strategy for an FC/LB/DLC tram. Liu et al (2020) employed Pontryagin's minimum principle in defining the optimal EMCS and the optimal braking energy recovery strategy for an FC/DLC tram.…”

Section: Literature Reviewmentioning

confidence: 99%

See 1 more Smart Citation

Analysis of hydrogen-powered propulsion system alternatives for diesel-electric regional trains

Kapetanović

Núñez

Oort

et al. 2022

Journal of Rail Transport Planning & Management

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Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Analysis of hydrogen-powered propulsion system alternatives for diesel-electric regional trains

Kapetanović

Núñez

Oort

et al. 2022

Journal of Rail Transport Planning & Management

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“…The purpose of reinforcement learning is to allow a reinforcement learning agent to learn how to behave in an environment where the only feedback consists of scalar learning signals, and the agent's goal is to maximize the reward signal from the environment in the long term [16,17]. Reinforcement learning algorithms capable of online parameter updates, fast convergence of the learning process, and suitable for different operating conditions have the potential to be applied to real-time energy management strategies [18][19][20].…”

Section: Introductionmentioning

confidence: 99%

Research on Energy Management Strategy of Electric Vehicle Hybrid System Based on Reinforcement Learning

Cheng

Chen

2022

Electronics

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From the perspective of energy management, the demand power of a hybrid electric vehicle driving under random conditions can be considered as a random process, and the Markov chain can be used for modeling. In this article, an energy management strategy based on reinforcement learning with real-time updates is proposed to reasonably allocate the energy flow of the hybrid power system under unknown working conditions. The hybrid system is powered by a supercapacitor and a lithium battery, which uses the characteristics of each component to reduce the energy loss of the system, reduce the rate of change of the lithium battery current, and prolong the service life of the components. The strategy takes the change of the transition probability matrix under real-time working conditions as the basis. The system judges whether it is necessary to use the new transition probability to calculate and update the energy management strategy of the system by calculating the Pearson similarity between the transition probability matrix at the current time and previous time. The simulation results validate the proposed method.

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“…The authors achieve satisfactory results, the efficiency of the FC was 50% while the state of charge (SOC) of the SC ranges between 35% and 95%. Moreover, the SC and FC systems can solve the problem of power and voltage stability, as they have shown [19,20]. The topology of each site has an important relevance in the sizing optimisation of a hybrid system, the tramways supplied with SC and FC need to be recharged from some alternate source in case the SOC of SC and FC are minimal.…”

Section: Introductionmentioning

confidence: 99%

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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A coupled power-voltage equilibrium strategy based on droop control for fuel cell/battery/supercapacitor hybrid tramway

Cited by 26 publications

References 32 publications

Analysis of hydrogen-powered propulsion system alternatives for diesel-electric regional trains

Analysis of hydrogen-powered propulsion system alternatives for diesel-electric regional trains

Research on Energy Management Strategy of Electric Vehicle Hybrid System Based on Reinforcement Learning

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

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