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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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 |
work_keys_str_mv |
AT insafyahia optimalcontributionofenergymanagementofelectricvehicles AT chokribensalah optimalcontributionofenergymanagementofelectricvehicles AT mohamedfaouzimimouni optimalcontributionofenergymanagementofelectricvehicles |
_version_ |
1725773985068613632 |