Cooperative Operation of Parallel Connected Boost Converters for Low Voltage-High Power Applications: An Experimental Approach

The design of an efficient techno‐economic autonomous fuel cell hybrid electric vehicle (FCHEV) is a crucial challenge. This paper investigates the design of a near optimal PI controller for an automated FCHEV, where autonomy is expressed as efficient and robust tracking of a given reference speed trajectory without driver's intervention. An impartial comparison is introduced to illustrate the effectiveness of the proposed metaheuristic‐based optimal controllers in enhancing the system dynamic performance. The comprehensive optimization performance indicator is considered as a function of the vehicle dynamic characteristics while determining the optimal controller gains. In this paper, the proposed effective up‐to‐date metaheuristic techniques are the grey wolf optimization (GWO) as well as the artificial bee colony (ABC). Using MATLABTM/Simulink, numerical simulations clearly illustrate the efficiency of near‐optimal gains in the optimized tuning methodologies and the fixed manual one in realizing adequate velocity tracking. The simulation results demonstrate the superiority of both ABC and GWO rather than the manual controller for driving cycles of high acceleration and deceleration levels. In absence of these latter, the manual defined gain controller is considered sufficient. Through a comprehensive sensitivity analysis, the robustness of both metaheuristic‐based controllers is verified under diverse driving cycles of different operation features and nature. Despite GWO results in better dynamic characteristics, the ABC provides more economical feature with about 1.5% compared to manual system in extra urban driving cycle. However, manual‐controller has the minimum fuel cost under the United States driving cycle developed by the environmental protection agency as a New York city cycle (US EPA NYCC) and urban driving cycle (ECE). Ecologically, electric vehicles have an environmentally friendly effect especially when driven with green hydrogen. Autonomous vehicles, involving velocity control systems, would raise car share and provide more comfort.

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“…Total time of the driving cycle, Δ𝜏 is defined as Δ𝜏 = 𝜏 f − 𝜏 i . Mathematically, the error is defined in (32) and (35).…”

Section: Optimization Framework and Constraintsmentioning

confidence: 99%

“…The FCHEV depicts itself as future proof and cleaner option compared to existing hybrid vehicles. A low‐voltage high power system essentially composed of proton exchange membrane fuel cell (PEMFC) has been designed and experimentally validated in the reference [35]. The applicability was devoted for vehicular applications.…”

Section: Introductionmentioning

confidence: 99%

Robust control for techno‐economic efficient energy management of fuel cell hybrid electric vehicles

Ramadan

Hassan

Alhelou

2022

IET Renewable Power Gen

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“…Both sources have the role to maintain the DC bus voltage to its reference value. The proposed structure that allows combining these different sources is the parallel structure ().…”

Section: The Proposed System Descriptionmentioning

confidence: 99%

Combined passivity based control and optimal control for energy management of fuel cell/battery hybrid system

Benmouna

Becherif

2019

Asian Journal of Control

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The energy management of hybrid electric vehicles is becoming an interesting topic for many researchers. Furthermore, the wise choice of the energy management strategy allows not only the best distribution of the power between the used sources, but also it allows reduction of consumption, increase in the lifetime of the sources, and improves the autonomy of the hybrid electric vehicle.The autonomy is guaranteed by the optimization of the embedded sources. In this study, the hybrid system consists of combining the fuel cell as the main source with the battery as the auxiliary source. The novelty of the proposed energy management strategy for the studied hybrid system is the combination between interconnection and damping assignment-passivity based control and the Hamiltonian Jacobi Bellman method. The stability proof is given and the efficiency of the proposed strategy is proved by the experimental work, where the obtained results show the good and adequate results to the proposed scenario.

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Power Electronics in Hybrid Renewable Energies Systems

Rekioua

2019

Hybrid Renewable Energy Systems

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Cooperative Operation of Parallel Connected Boost Converters for Low Voltage-High Power Applications: An Experimental Approach

Cited by 7 publications

References 23 publications

Robust control for techno‐economic efficient energy management of fuel cell hybrid electric vehicles

Robust control for techno‐economic efficient energy management of fuel cell hybrid electric vehicles

Combined passivity based control and optimal control for energy management of fuel cell/battery hybrid system

Power Electronics in Hybrid Renewable Energies Systems

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