A Multi-Agent System for Smart Energy Management Devoted to Vehicle Applications: Realistic Dynamic Hybrid Electric System Using Hydrogen as a Fuel

Sami, Benslama; Sihem, Nasri; Gherairi, Salsabil; Chérif, Adnane

doi:10.3390/en12030474

Cited by 10 publications

(7 citation statements)

References 50 publications

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“…B. Sami et al [134] propose such an intelligent system that acts quickly in the event of sudden changes in hydrogen consumption, in order to manage energy efficiently. A multiagent system is used to estimate fuel consumption.…”

Section: Real-time Optimization Strategymentioning

confidence: 99%

Fuel Cell Electric Vehicles—A Brief Review of Current Topologies and Energy Management Strategies

et al. 2021

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With the development of technologies in recent decades and the imposition of international standards to reduce greenhouse gas emissions, car manufacturers have turned their attention to new technologies related to electric/hybrid vehicles and electric fuel cell vehicles. This paper focuses on electric fuel cell vehicles, which optimally combine the fuel cell system with hybrid energy storage systems, represented by batteries and ultracapacitors, to meet the dynamic power demand required by the electric motor and auxiliary systems. This paper compares the latest proposed topologies for fuel cell electric vehicles and reveals the new technologies and DC/DC converters involved to generate up-to-date information for researchers and developers interested in this specialized field. From a software point of view, the latest energy management strategies are analyzed and compared with the reference strategies, taking into account performance indicators such as energy efficiency, hydrogen consumption and degradation of the subsystems involved, which is the main challenge for car developers. The advantages and disadvantages of three types of strategies (rule-based strategies, optimization-based strategies and learning-based strategies) are discussed. Thus, future software developers can focus on new control algorithms in the area of artificial intelligence developed to meet the challenges posed by new technologies for autonomous vehicles.

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Section: Real-time Optimization Strategymentioning

confidence: 99%

Fuel Cell Electric Vehicles—A Brief Review of Current Topologies and Energy Management Strategies

et al. 2021

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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%

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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“…Besides renewable energy sources such as solar energy, wind turbines, etc., it is also possible to consider vehicles as an energy source to meet the home energy demand [6]. Besides renewable energy sources such as solar energy, wind turbines, etc., it is also possible to consider vehicles as an energy source to meet the home energy demand [7]. Moreover, several methods and platforms, such as Intelligent Sensor Technologies, Home Network, and Smart Home Appliance [8][9], have been studied and developed for the smart home.…”

Section: A Motivationsmentioning

confidence: 99%

Smart Home Energy Management System Design: A Realistic Autonomous V2H / H2V Hybrid Energy Storage System

Zafar¹,

Slama²,

Sihem³

et al. 2019

IJACSA

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The hybrid fuel cell electric vehicle powered by household power during peak use is another opportunity to reduce emissions and save money. For this reason, Vehicle-to-Home (V2H) and Home-to-Vehicle (H2V) systems were proposed as a new method of exchanging smart energy and a new method of exchanging smart energy. The main goal of this paper is to develop a smart home energy management based on IoT, generate more energy efficiency and share production between home and vehicle. In fact, the Hybrid Fuel cell electric vehicle will be used simultaneously to power household appliances during peak demand for electricity to solve energy consumption. The household's energy is derived from an accurate Autonomous hybrid power system. Several technologies such as Proton Exchange Membrane Fuel Cell, solar panel, Supercapacitor (SC) device and water electrolyzer are incorporated into the proposed system. Two-way electrical energy from the PEMFC-Hybrid Electric Vehicle and household power will be exchanged by discharging vehicle energy storage to balance energy demand and supply. To this end, a smart energy management unit (EMU) will be developed and discussed in order to meet the estimated fuel consumption mitigation goals during peak periods when demand is highest, coordinating between household power and vehicle energy storage. The Matlab / Simulink software based on an experimental database extracted from household power to demonstrate the effectiveness of the proposed strategy and its effects on V2H / H2V operations will simulate the presented design for one day. The Matlab / Simulink software based on an experimental database extracted from household power to demonstrate the effectiveness of the proposed strategy and its effects on V2H / H2V operations will simulate the presented design for one day.

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A Multi-Agent System for Smart Energy Management Devoted to Vehicle Applications: Realistic Dynamic Hybrid Electric System Using Hydrogen as a Fuel

Cited by 10 publications

References 50 publications

Fuel Cell Electric Vehicles—A Brief Review of Current Topologies and Energy Management Strategies

Fuel Cell Electric Vehicles—A Brief Review of Current Topologies and Energy Management Strategies

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

Smart Home Energy Management System Design: A Realistic Autonomous V2H / H2V Hybrid Energy Storage System

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