Optimal Energy Management and Control in Multimode Equivalent Energy Consumption of Fuel Cell/Supercapacitor of Hybrid Electric Tram

Yan, Yu; Li, Qi; Chen, Weirong; Su, Bo; Liu, Jiawei; Ma, Lei

doi:10.1109/tie.2018.2871792

Cited by 111 publications

(39 citation statements)

References 37 publications

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“…Moreover, the output net power of the PEMFC is maximized by regulating the oxygen excess ratio through a PID controller. In [25], a quadratic energy consumption curve of the PEMFC stack is employed in a multi-state ECMS to formulate the power management in a tram. The strategy has led to 2.5% energy consumption reduction compared to a rule-based power following strategy.…”

Section: Literature Surveymentioning

confidence: 99%

Investigating the impact of ageing and thermal management of a fuel cell system on energy management strategies

et al. 2020

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This paper studies the impact of two significant aspects, namely fuel cell (FC) degradation and thermal management, over the performance of an optimal and a rule-based energy management strategy (EMS) in a fuel cell hybrid electric vehicle (FCHEV). To do so, firstly, a vehicle model is developed in simulation environment for a low-speed FCHEV composed of a FC stack and a battery pack. Subsequently, deterministic dynamic programming (DP), as an optimal strategy, and bounded load following strategy (BLFS), as a common rule-based strategy, are utilized to minimize the hydrogen consumption while respecting the operating constraints of the power sources. The performance of the EMSs is assessed in different scenarios. The first objective is to clarify the effect of FC stack degradation on the performance of the vehicle. In this regard, each EMS determines the required current from the FC stack for two FCs with different levels of degradation. The second objective is to evaluate the thermal management contribution in improving the performance for the new FC compared to the considered cases in scenario one. In this respect, each strategy deals with determining two control variables (FC current and cooling fan duty cycle). The results of this study indicate that negligence of adapting to the PEMFC health state, as the PEMFC gets aged, can increase the hydrogen consumption up to 24.8% in DP and 12.1% in BLFS. Moreover, the integration of temperature dimension into the EMS can diminish the hydrogen consumption by 4.1% and 5.3% in DP and BLFS respectively.

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Section: Literature Surveymentioning

confidence: 99%

Investigating the impact of ageing and thermal management of a fuel cell system on energy management strategies

et al. 2020

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“…The SC efficiency is calculated as [40]

({, \begin{matrix} 1em4pt \\ η_{sc}^{ch} ()(, t) = 2 / ()(, 1 + \sqrt{1 - \frac{4 R_{sc}^{eq} P_{sc} (t)}{{(V_{osc}^{eq} (t))}^{2}}}) P_{sc} < 0 \\ η_{sc}^{dis} ()(, t) = \frac{1}{2} (1 + \sqrt{1 - \frac{4 R_{sc}^{eq} P_{sc} ()(, t)}{{()(, V_{osc}^{eq} ()(, t))}^{2}}}) P_{sc} \geq 0 \end{matrix})

where

η_{sc}^{ch}

and

η_{sc}^{dis}

are the SC efficiencies during charge and discharge, respectively, and

R_{sc}^{eq}

and

V_{osc}^{eq}

are the equivalent internal resistance and internal voltage of the SC pack, respectively.…”

Section: Ship and Hybrid Battery/sc Modelsmentioning

confidence: 99%

Energy flow control and sizing of a hybrid battery/supercapacitor storage in MVDC shipboard power systems

Forestieri

Farasat

2020

IET Electrical Systems in Transportation

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The propulsion system of a medium-voltage dc (MVDC) ship is subject to large thrust/torque variations due to interactions of the ship and the propeller with sea waves. These variations induce steep power fluctuations on the MVDC bus, adversely impacting the stability, efficiency and power quality. Hybrid energy storage system (HESS) is a promising solution for mitigating these power fluctuations. Dictating the energy that the HESS components must deliver/absorb, the energy management strategy (EMS) impacts the size/capacity of the energy storage system (ESS). Based on this consideration, sizing and EMS of a battery/supercapacitor (SC) HESS are jointly optimised by using a deep reinforcement learning-based method. The proposed method splits the power between the HESS components such that while the operational constraints are satisfied, energy storage size and losses are minimised. Its features are adaptability to varying sea states, real-time implementation feasibility, while obviating the requirement for knowledge of the ship propulsion power profile. The efficacy of the joint sizing/EMS on reducing the ESS size is validated by comparing the sizes when battery-only, SC-only and HESS are employed in the MVDC shipboard power system. Real-time implementation feasibility and adaptability to various ship propulsion power profiles is confirmed through real-time simulations.

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“…Furthermore, the PEMFC output power is maximised by regulating the oxygen ratio. In [25], a quadratic function for the PEMFC energy consumption is defined in a multi‐state ECMS to distribute the power among the sources. This strategy has decreased the energy consumption by 2.5% compared to a rule‐based power following strategy.…”

Section: Introductionmentioning

confidence: 99%

Online energy management of a hybrid fuel cell vehicle considering the performance variation of the power sources

Ghaderi¹,

Kandidayeni

Soleymani

et al. 2020

IET Electrical Systems in Transportation

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Optimal Energy Management and Control in Multimode Equivalent Energy Consumption of Fuel Cell/Supercapacitor of Hybrid Electric Tram

Cited by 111 publications

References 37 publications

Investigating the impact of ageing and thermal management of a fuel cell system on energy management strategies

Investigating the impact of ageing and thermal management of a fuel cell system on energy management strategies

Energy flow control and sizing of a hybrid battery/supercapacitor storage in MVDC shipboard power systems

Online energy management of a hybrid fuel cell vehicle considering the performance variation of the power sources

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