Internet of Things Enabled Electric Vehicles in Smart Cities

Ejaz, Waleed; Anpalagan, Alagan

doi:10.1007/978-3-319-95037-2_4

Cited by 14 publications

(13 citation statements)

References 20 publications

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“…Electric cars, electric buses, and neighborhood electric cars can be collectively classified as EVs and will be the principle transportation system in the future. The tendency of reducing gas emissions in the city will guide total electrification of the transport system [28]. However, the efficiency of these new transportation systems cannot be guaranteed in an ordinary city, as in practice new problems, related to the power distribution and traffic organization, have appeared.…”

Section: The Smart City and Electric Vehicle Relationshipmentioning

confidence: 99%

A Novel Energy Optimization Approach for Electrical Vehicles in a Smart City

Aymen

Mahmoudi

2019

Energies

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Electric Vehicles (EVs) have emerged rapidly across the globe as a powerful eco-friendly initiative that if integrated well with an urban environment could be iconic for the city’ host’s commitment to sustainable mobility and be a key ingredient of the smart city concept. This paper examines ways that will help us to develop a better understanding of how EVs can achieve energy use optimization and be connected with a smart city. As a whole, the present study is based on an original idea that would be useful in informing policy-makers, automotive manufacturers and transport operators of how to improve and embrace better EV technologies in the context of smart cities. The proposed approach is based on vehicles and buildings communication for sharing some special information related to the vehicle status and to the road condition. EVs can share their own information related to the energy experience on a specific path. This information can be gathered in a gigantic database and used for managing the power inside these vehicles. In this field, this paper exposes a new approach to power management inside an electric vehicle based on bi-communication between vehicles and buildings. The principle of this method is established on two sections; the first one is related to vehicles’ classification and the second one is attached to the buildings’ recommendation, according to the car position. The classification problem is resolved using the support vector classification method. The recommendation phase is resolved using the artificial intelligence principle and the neural network was employed, for giving the best decision. The optimal decision will be calculated inside the building, according to its position and using the old vehicle’s data, and transferred to the coming vehicle, for optimizing its energy consumption method in the corresponding building zone. Different possibilities and situations were discussed in this approach. The proposed power management methodology was tested and validated using Simulink/Matlab tool. Results related to the battery state of charge and to the consumed energy were compared at the end of this work, for showing the efficiency of this approach.

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Section: The Smart City and Electric Vehicle Relationshipmentioning

confidence: 99%

A Novel Energy Optimization Approach for Electrical Vehicles in a Smart City

Aymen

Mahmoudi

2019

Energies

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“…As the word tendency reducing Gaz emissions, governments encourage the total electrification of the transport systems. 29 Into the ordinary city, the efficiency of the new transportation system cannot be guaranteed. According to the increasing number of electric and ordinary cars, the power distribution and traffic organization problems have appeared.…”

Section: Buildings Infrastructures and Electric Vehicle Relationshipmentioning

confidence: 99%

“…Various exposed works proved that scheduling in smart distribution systems helps minimize the operational costs by reducing electricity bills. 29,34 Additionally, the smart city has resolved the problem of parking lots or vehicular traffic. Effectively, several types of researches proved that a smart city will encourage using the electrical transportation systems, as electric cars and electric buses, in which the problems related to the high recharge delay will be eliminated in the future.…”

Section: Buildings Infrastructures and Electric Vehicle Relationshipmentioning

confidence: 99%

“…Neighborhood electric cars, traditional electric cars, and electric buses were categorized as EVs, which will be the principle transportation system in the future. As the word tendency reducing Gaz emissions, governments encourage the total electrification of the transport systems . Into the ordinary city, the efficiency of the new transportation system cannot be guaranteed.…”

Section: Introductionmentioning

confidence: 99%

“…In those cities, EV demands efficient and intelligent charge scheduling techniques, in order to stabilize the source power and do not make perturbation on the electric grid. Various exposed works proved that scheduling in smart distribution systems helps minimize the operational costs by reducing electricity bills . Additionally, the smart city has resolved the problem of parking lots or vehicular traffic.…”

Section: Introductionmentioning

confidence: 99%

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Design and analysis of a novel power management approach, applied on a connected vehicle as V2V, V2B/I, and V2N

Aymen

Mahmoudi

2019

Int J Energy Res

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Summary The communication technologies were evolving rapidly and making everything connected. Peoples, vehicles, and buildings become connected everywhere. Concentrating on the targets that vehicle can be connected with, the present paper exposes a new power management approach applicable for three kinds of connected vehicles. Vehicle to buildings or infrastructure, vehicle to network, and vehicle to vehicle are the three communication protocols between vehicle and external targets. The proposed approach is designed for implementing all of these three communication cases. It is based on the principle of vehicle data sharing. Each vehicle will share a package of data, which contain information related to the vehicle status and the road condition. This information will be collected in a database and used for managing the power inside these cars. This approach is built on two stages; the first one is related to vehicles' classification, and the second one is attached to the recommendation, and this is according to the car position and according to the communication protocol case. The first stage was resolved using the support vector classification method. The second stage was treated using the artificial intelligence principle, and the neural network was employed. So the optimal decision will be outputted. According to the vehicle communication method, the optimal decision will be identified inside the building, infrastructure, vehicle, or the cloud database. This will be related to the vehicle position using the old vehicle's data. So the obtained decission will be transferred to the coming vehicle, for optimizing its energy consumption method in the corresponding area. Different possibilities and situations were discussed in this approach. The power management methodology was verified and confirmed. For showing the efficiency of this approach, a comparison of the obtained results in relation to the battery state of charge and the consumed energy results will be done. Matlab simulink was used for doing the necessary tests.

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Internet of Things in Sustainable Energy Systems

Salam

2019

Internet of Things

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Internet of Things Enabled Electric Vehicles in Smart Cities

Cited by 14 publications

References 20 publications

A Novel Energy Optimization Approach for Electrical Vehicles in a Smart City

A Novel Energy Optimization Approach for Electrical Vehicles in a Smart City

Design and analysis of a novel power management approach, applied on a connected vehicle as V2V, V2B/I, and V2N

Internet of Things in Sustainable Energy Systems

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