Development of regenerative braking in an electric vehicle using a neural controller with an auxiliary power system
Electric vehicles (EV) have recently spread because of their benefits, such as reducing pollution, as they are environmentally friendly because they use clean energy instead of fossil fuels. The braking system in EV is considered one of the most important systems studied and under development in ma...
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| Format: | Article |
| Language: | Arabic |
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damascus university
2024-12-01
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| Series: | مجلة جامعة دمشق للعلوم الهندسية |
| Subjects: | |
| Online Access: | https://journal.damascusuniversity.edu.sy/index.php/engj/article/view/6802 |
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| _version_ | 1832586232426659840 |
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| author | Ahmad Alhamood Alarefe SALAM ALI MAHMOUD RAED ALCHAREA |
| author_facet | Ahmad Alhamood Alarefe SALAM ALI MAHMOUD RAED ALCHAREA |
| author_sort | Ahmad Alhamood Alarefe |
| collection | DOAJ |
| description |
Electric vehicles (EV) have recently spread because of their benefits, such as reducing pollution, as they are environmentally friendly because they use clean energy instead of fossil fuels. The braking system in EV is considered one of the most important systems studied and under development in many researches. It has a significant impact on the stability of the performance of the electric vehicle, and a great benefit in increasing the battery life of the electric vehicle, by recharging it through regeneration braking, and maintaining a large state of charge relatively.
This research presents a development of the regeneration braking system by developing a neural controller consisting of two layers and using it to drive the braking process instead of the proportional integrative (PI) controller with an auxiliary power system. The latter is stable and enables its engine to generate suitable torques at relatively high speeds, without a decrease in the speed of the vehicle from the required speed, and the improvement rate was more than 10%, where the state of battery drain when using the PI controller was about 87%, while when using the neural controller more than 97%
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| format | Article |
| id | doaj-art-e0db78a32c074fa28e363a64ccd5a479 |
| institution | Kabale University |
| issn | 1999-7302 2789-6854 |
| language | Arabic |
| publishDate | 2024-12-01 |
| publisher | damascus university |
| record_format | Article |
| series | مجلة جامعة دمشق للعلوم الهندسية |
| spelling | doaj-art-e0db78a32c074fa28e363a64ccd5a4792025-01-26T06:35:22Zaradamascus universityمجلة جامعة دمشق للعلوم الهندسية1999-73022789-68542024-12-01404Development of regenerative braking in an electric vehicle using a neural controller with an auxiliary power systemAhmad Alhamood Alarefe0SALAM ALI MAHMOUD1RAED ALCHAREA2Damascus universityDamascus universityDamascus university Electric vehicles (EV) have recently spread because of their benefits, such as reducing pollution, as they are environmentally friendly because they use clean energy instead of fossil fuels. The braking system in EV is considered one of the most important systems studied and under development in many researches. It has a significant impact on the stability of the performance of the electric vehicle, and a great benefit in increasing the battery life of the electric vehicle, by recharging it through regeneration braking, and maintaining a large state of charge relatively. This research presents a development of the regeneration braking system by developing a neural controller consisting of two layers and using it to drive the braking process instead of the proportional integrative (PI) controller with an auxiliary power system. The latter is stable and enables its engine to generate suitable torques at relatively high speeds, without a decrease in the speed of the vehicle from the required speed, and the improvement rate was more than 10%, where the state of battery drain when using the PI controller was about 87%, while when using the neural controller more than 97% https://journal.damascusuniversity.edu.sy/index.php/engj/article/view/6802Neural networksbootbatterycircuitvehicleperformance |
| spellingShingle | Ahmad Alhamood Alarefe SALAM ALI MAHMOUD RAED ALCHAREA Development of regenerative braking in an electric vehicle using a neural controller with an auxiliary power system مجلة جامعة دمشق للعلوم الهندسية Neural networks boot battery circuit vehicle performance |
| title | Development of regenerative braking in an electric vehicle using a neural controller with an auxiliary power system |
| title_full | Development of regenerative braking in an electric vehicle using a neural controller with an auxiliary power system |
| title_fullStr | Development of regenerative braking in an electric vehicle using a neural controller with an auxiliary power system |
| title_full_unstemmed | Development of regenerative braking in an electric vehicle using a neural controller with an auxiliary power system |
| title_short | Development of regenerative braking in an electric vehicle using a neural controller with an auxiliary power system |
| title_sort | development of regenerative braking in an electric vehicle using a neural controller with an auxiliary power system |
| topic | Neural networks boot battery circuit vehicle performance |
| url | https://journal.damascusuniversity.edu.sy/index.php/engj/article/view/6802 |
| work_keys_str_mv | AT ahmadalhamoodalarefe developmentofregenerativebrakinginanelectricvehicleusinganeuralcontrollerwithanauxiliarypowersystem AT salamalimahmoud developmentofregenerativebrakinginanelectricvehicleusinganeuralcontrollerwithanauxiliarypowersystem AT raedalcharea developmentofregenerativebrakinginanelectricvehicleusinganeuralcontrollerwithanauxiliarypowersystem |