Interconnection and damping assignment passivity based control for fuel cell and battery vehicle: Simulation and experimentation

Benmouna, Amel; Becherif, Mohamed; Chen, J.; Chen, H.; Depernet, Daniel

doi:10.1016/j.ijhydene.2019.02.045

Cited by 15 publications

(10 citation statements)

References 13 publications

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“…IoT enables smart applications in transportation, such as intelligent parking lot, 32 smart electric vehicles, [33][34][35][36][37][38][39][40][41] and smart ship electric systems. 42,43 Smart transportation involves data exchange and automation via virtual cyber systems, IoT, cloud computing, big data, and artificial intelligence.…”

Section: Smart Transportationmentioning

confidence: 99%

“…It is highlighted that the main problem is the quality of function and the lifetime of the modules. 38 As for hybrid electric cars, 36,41 the charging process is more complex. For this purpose, the creation of effective simulation methods for monitoring the consumption of sources is important.…”

Section: Managementmentioning

confidence: 99%

“…Classical controllers are exhibiting shortcomings in terms of operation, exhaustion, and loss of reliability. It is highlighted that the main problem is the quality of function and the lifetime of the modules 38 . As for hybrid electric cars, 36,41 the charging process is more complex.…”

Section: Open Issues and Challengesmentioning

confidence: 99%

See 2 more Smart Citations

Internet of things energy system: Smart applications, technology advancement, and open issues

Aman

Shaari

Ibrahim³

2021

Int J Energy Res

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The internet of things (IoT) is a distributed heterogeneous network of lightweight nodes with very minimal power and storage. The IoT energy system for smart applications such as smart grid, smart building, and smart transportations depends on the IoT architecture, determining the high or lowenergy consumption levels. Most of the IoT objects are power-driven by batteries with short life spans that require replacement. The replacement phase is tedious; hence this paper comprehensively discussed the IoT energy system, energy resources, and energy storage as these three elements are crucial to enable energy efficiency for the IoT applications. In comparison to the batterypowered solutions, the scavenging of infinite quantities of energy makes the IoT systems robust. Therefore, this paper further elaborates on understanding the current situation in terms of renewable energy harvesting for these lowenergy systems. The IoT energy storage highlighted in this paper includes fuel cell, lithium battery, and supercapacitor technology. This paper also provides the findings for IoT energy system challenges and open issues in management and storage in terms of bidirectional, continuity, autonomy, fluctuation, conversion, consumption, integration, multifunction, and stability. This paper will assist researchers in more quality yet practical energy usage and savings, better IoT system architecture, and smart application sustainability.

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Section: Smart Transportationmentioning

confidence: 99%

Section: Managementmentioning

confidence: 99%

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Internet of things energy system: Smart applications, technology advancement, and open issues

Aman

Shaari

Ibrahim³

2021

Int J Energy Res

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“…IDA-PBC of a grid connected three-phase inverter is developed by Serra and De Angelo (2017) to reduce harmonic distortion under non-ideal grid conditions. IDA-PBC is used for the energy management of a FC-ultracapacitor-based hybrid system by Mane et al (2015) and a FC-battery-based hybrid system by Benmouna et al (2019) in an electric vehicle. Lure-Lyapunov control is proposed by Mane et al (2017) for life span improvement of the FC and energy management of hybrid FC-ultracapacitor system.…”

Section: Introductionmentioning

confidence: 99%

Energy management and damping improvement of a DC microgrid with constant power load using interconnection and damping assignment-passivity based control

Samanta

Barman

Mishra

et al. 2020

Transactions of the Institute of Measurement and Control

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This paper deals with (i) damping improvement and (ii) energy management of a DC microgrid for improvement of its stability. The direct current (DC) microgrid has a solar-photovoltaic system as a renewable source and fuel cell-battery combination as a backup system to supply power to constant power loads (CPLs). The presence of CPLs in a DC microgrid makes the stability problem more challenging since the negative impedance characteristics of CPLs bring instability into the system. A control approach using interconnection and damping assignment-passivity based control (IDA-PBC) is proposed in this paper to address both the objectives. The proposed control approach provides an efficient energy management, the required damping and also maintains the stability by making the system passive. The tuning parameters of the control laws are adapted incorporating the state of charge (SoC) for the effective energy management. In addition, an integral action is added with the proposed control laws to eliminate the steady-state error in the voltage level of the DC bus and load bus. The proposed IDA-PBC control along with an integral action is compared with four other control approaches, and reveals its better performances. The MATLAB/Simulink results show that the proposed control technique provides better responses in terms of providing damping and effective energy management.

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“…Furthermore, the use of different sources in the hybrid system requires the wise choice of energy management strategy in order to have the best distribution of the power between the embedded sources (). From the literature, there exist several works focused on the energy management of hybrid systems composed of one or several sources and storage devices ().…”

Section: Introductionmentioning

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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Interconnection and damping assignment passivity based control for fuel cell and battery vehicle: Simulation and experimentation

Cited by 15 publications

References 13 publications

Internet of things energy system: Smart applications, technology advancement, and open issues

Internet of things energy system: Smart applications, technology advancement, and open issues

Energy management and damping improvement of a DC microgrid with constant power load using interconnection and damping assignment-passivity based control

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

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