Optimal Contribution of Energy Management of Electric Vehicles

An Electrical Vehicle (EV) has the advantage of being friendly with environment but it does not have the same performance as a current conventional vehicle. This work proposes a strategy to improve the EV autonomy. At first, an EV model that combines lead acid batteries and a DC motor is described....

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Main Authors: Insaf YAHIA, Chokri Ben SALAH, Mohamed Faouzi MIMOUNI
Format: Article
Language:English
Published: ESRGroups 2016-12-01
Series:Journal of Electrical Systems
Subjects:
Online Access:http://journal.esrgroups.org/jes/papers/12_4_3.pdf
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spelling doaj-4f9eaca638d54788a7631d0b5eba6d052020-11-24T22:20:46ZengESRGroupsJournal of Electrical Systems1112-52091112-52092016-12-01124660671Optimal Contribution of Energy Management of Electric VehiclesInsaf YAHIA0Chokri Ben SALAH1Mohamed Faouzi MIMOUNI2Research Unit on Study of the Industrial, Systems & Renewable Energies (ESIER), University of Monastir, ENIM Monastir, Tunisia Control and Energy Management Lab. (CEMLab), University of Sfax, National School of Engineers of Sfax, BP. W, 3038 Sfax, TunisiaResearch Unit on Study of the Industrial, Systems & Renewable Energies (ESIER), University of Monastir, ENIM Monastir, Tunisia An Electrical Vehicle (EV) has the advantage of being friendly with environment but it does not have the same performance as a current conventional vehicle. This work proposes a strategy to improve the EV autonomy. At first, an EV model that combines lead acid batteries and a DC motor is described. The individual mathematical model for each component is developed in MATLAB. Moreover, the control speed strategy using fuzzy logic is applied to the system to produce a maximum speed reference of an EV under different states of charge of the battery and acceleration. Then, a proportional integral control adjusts the speed strategy. When the vehicle is subjected to different scenarios, the simulation realized in MATLAB/Simulink will show good efficiency.http://journal.esrgroups.org/jes/papers/12_4_3.pdfElectric vehicleDC motorFuzzy logicbattery SOCSpeed controlEnergy management
collection DOAJ
language English
format Article
sources DOAJ
author Insaf YAHIA
Chokri Ben SALAH
Mohamed Faouzi MIMOUNI
spellingShingle Insaf YAHIA
Chokri Ben SALAH
Mohamed Faouzi MIMOUNI
Optimal Contribution of Energy Management of Electric Vehicles
Journal of Electrical Systems
Electric vehicle
DC motor
Fuzzy logic
battery SOC
Speed control
Energy management
author_facet Insaf YAHIA
Chokri Ben SALAH
Mohamed Faouzi MIMOUNI
author_sort Insaf YAHIA
title Optimal Contribution of Energy Management of Electric Vehicles
title_short Optimal Contribution of Energy Management of Electric Vehicles
title_full Optimal Contribution of Energy Management of Electric Vehicles
title_fullStr Optimal Contribution of Energy Management of Electric Vehicles
title_full_unstemmed Optimal Contribution of Energy Management of Electric Vehicles
title_sort optimal contribution of energy management of electric vehicles
publisher ESRGroups
series Journal of Electrical Systems
issn 1112-5209
1112-5209
publishDate 2016-12-01
description An Electrical Vehicle (EV) has the advantage of being friendly with environment but it does not have the same performance as a current conventional vehicle. This work proposes a strategy to improve the EV autonomy. At first, an EV model that combines lead acid batteries and a DC motor is described. The individual mathematical model for each component is developed in MATLAB. Moreover, the control speed strategy using fuzzy logic is applied to the system to produce a maximum speed reference of an EV under different states of charge of the battery and acceleration. Then, a proportional integral control adjusts the speed strategy. When the vehicle is subjected to different scenarios, the simulation realized in MATLAB/Simulink will show good efficiency.
topic Electric vehicle
DC motor
Fuzzy logic
battery SOC
Speed control
Energy management
url http://journal.esrgroups.org/jes/papers/12_4_3.pdf
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