Prototype design of a compact plug-in solar electric vehicle application for smart power management architecture

Mahmoudi, Chokri; Aymen, Flah; Sbita, Lassaâd

doi:10.1109/gecs.2017.8066162

Cited by 11 publications

(6 citation statements)

References 13 publications

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“…Another mentioned solution is based on renewable energy sources like solar energy [13] or the energy recovered during the deceleration phase called also regenerative braking [14]. Those systems are effective, but the quantity of energy recovered is not sufficient, especially during highway use.…”

Section: The Ev Power Management Problem In the Literaturementioning

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 Ev Power Management Problem In the Literaturementioning

confidence: 99%

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

Aymen

Mahmoudi

2019

Energies

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“…To keep it healthy and guide it to a slow discharge even when a heavy load is on demand, the electric vehicle is powered by a combination of multiple sources [13]- [15].…”

Section: Ev and Power Managementmentioning

confidence: 99%

Smart database concept for Power Management in an electrical vehicle

Mahmoudi¹,

Aymen²,

Sbita³

2019

IJPEDS

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As world population continues to grow and the limited amount of fossil fuels begin to diminish, it may not be possible to afford the needed amount of energy demanded by the world by only using fossil fuels. Meanwhile, the abundant nature of renewable energy sources brings new beginning for next generations. Greater penetration of electric vehicles will play an important role in building green and healthy world. The main remaining issue to make the switch from conventional to electric vehicle is performance cost; Efficient EVs that can drive for long distances, on single charge, are still expensive for ordinary consumer. To address this range problem, many attempts have been made during last decade. The goal was to conceive a power efficient electric vehicle, capable of managing its energy and reach longer distances. It depends on the electrical architectures and used algorithms.This paper adds new perspective for power Management in EVs; The proposed methodology introduces a new power management architecture based on communication and car learning. The conventional software level in EV has been replaced with self readjustable software. EVs are connected through a database, and can upload or download adjustment parameters while software is running.To take advantage of the new architecture, a new learning technique concept is introduced too, based on Cloud experience exchange between Electric Vehicles. This enhancement aims to build a better EV experience in power management through Cloud sharing and definitely cut with conventional architecture that may have reached its boundaries.

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“…So, to minimize the quantity of used battery power, we must control the acceleration form as it is exposed previously. The objective function, that will be optimized is related to equation (10). J * = min ò P batt (t)dt = min ò f ( Acc(t),t)dt (10)…”

Section: Figure 2 Three Different Cases For a Useless High Acceleratmentioning

confidence: 99%

“…However, the problem is always related to the internal system complexity and the high prices of this car model. Another solution was introduced based on renewable energy sources like solar energy 10 or the obtained power during deceleration phase called also regenerative braking 11 . Those systems were proficient but the quantity of the obtained power is not sufficient, especially in a high way road.…”

Section: Introductionmentioning

confidence: 99%

A novel energy optimization approach for electrical vehicles in a smart city

Aymen¹,

Mahmoudi²,

Sbita³

2019

Preprint

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Smart cities and smart technologies have been incorporated into several axes to increase the comfort of life. The connected building's concept was introduced for this reason. However, it was utilized in power management for better organizing, greater buildings management, and monetary savings. Cars technologies and the number of vehicles are also involved; Nowadays, each house has at least one car. Technological evolution helped to make those cars intelligent and connected. In the latest versions, the majority of those cars were equipped with several sensors, several communication protocols and a principal electrical control unit (ECU), especially for the electric vehicle model. This type of architecture was an essential element in a smart city, thus, it helps to manage power and decide when a vehicle needs to be charged. Based on the smart city concept and using possible network communication between buildings and vehicles, EVs can share their own information related to the powerful 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, we propose in this paper a new approach for power management inside an electric vehicle based on bi-communication between vehicles and buildings. The proposed approach is founded on two essential parts; the first is related to vehicles’ classification and buildings’ recommendation according to different car positions. Two algorithms, related to the SVC and neural network was employed in this work for implementing the final process. Different possibilities and situations were discussed for this approach. The proposed method was tested and validated using Simulink/Matlab application. The state of charge of the used battery was compared at the end of this work, for two specified cases, for showing the contribution of this approach.

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Prototype design of a compact plug-in solar electric vehicle application for smart power management architecture

Cited by 11 publications

References 13 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

Smart database concept for Power Management in an electrical vehicle

A novel energy optimization approach for electrical vehicles in a smart city

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