Optimization of hybrid electric vehicle control for efficient performance at critical energy levels
This paper proposes an optimization algorithm to regulate energy consumption and powertrain control of a hybrid electric vehicle (HEV). The algorithm is applied on a prototype vehicle manufactured by adding an electric motor to an all-terrain vehicle (ATV). The control system is designed using an em...
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| Format: | Conference or Workshop Item |
| Language: | English English |
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IEEE
2017
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| Online Access: | http://umpir.ump.edu.my/id/eprint/18228/1/Optimization%20of%20Hybrid%20Electric%20Vehicle%20Control%20for%20Efficient%20Performance%20at%20Critical%20Energy%20Levels.pdf http://umpir.ump.edu.my/id/eprint/18228/2/Optimization%20of%20Hybrid%20Electric%20Vehicle%20Control%20for%20Efficient%20Performance%20at%20Critical%20Energy%20Levels%201.pdf |
| _version_ | 1796992231843823616 |
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| author | Alsibai, Mohammed Hayyan Sayong, Maxwell Koay, Li Woon Atnaw, Samson M. Nurul Nadia, Nor Hamran |
| author_facet | Alsibai, Mohammed Hayyan Sayong, Maxwell Koay, Li Woon Atnaw, Samson M. Nurul Nadia, Nor Hamran |
| author_sort | Alsibai, Mohammed Hayyan |
| collection | UMP |
| description | This paper proposes an optimization algorithm to regulate energy consumption and powertrain control of a hybrid electric vehicle (HEV). The algorithm is applied on a prototype vehicle manufactured by adding an electric motor to an all-terrain vehicle (ATV). The control system is designed using an embedded micro-controller unit (MCU). The main targets in this study are to improve the electric energy consumption efficiency and to reduce the ICE usage to minimum. The MCU controls the automatic switching between the electric motor and the internal combustion engine of the ATV. Furthermore, the system gives guidance for driver to use the limited resource efficiently at critical energy level. It restricts the driver performance using pulse width modulation (PWM). PWM duty cycle is adjusted to get optimum performance in term of maximizing the travel distance. Various driving scenarios are analyzed in this study. Factors such travel speed, energy level, stop-and-go frequency have been taken into consideration. The experiments showed significant improvement. |
| first_indexed | 2024-03-06T12:17:02Z |
| format | Conference or Workshop Item |
| id | UMPir18228 |
| institution | Universiti Malaysia Pahang |
| language | English English |
| last_indexed | 2024-03-06T12:17:02Z |
| publishDate | 2017 |
| publisher | IEEE |
| record_format | dspace |
| spelling | UMPir182282018-07-18T07:24:03Z http://umpir.ump.edu.my/id/eprint/18228/ Optimization of hybrid electric vehicle control for efficient performance at critical energy levels Alsibai, Mohammed Hayyan Sayong, Maxwell Koay, Li Woon Atnaw, Samson M. Nurul Nadia, Nor Hamran T Technology (General) This paper proposes an optimization algorithm to regulate energy consumption and powertrain control of a hybrid electric vehicle (HEV). The algorithm is applied on a prototype vehicle manufactured by adding an electric motor to an all-terrain vehicle (ATV). The control system is designed using an embedded micro-controller unit (MCU). The main targets in this study are to improve the electric energy consumption efficiency and to reduce the ICE usage to minimum. The MCU controls the automatic switching between the electric motor and the internal combustion engine of the ATV. Furthermore, the system gives guidance for driver to use the limited resource efficiently at critical energy level. It restricts the driver performance using pulse width modulation (PWM). PWM duty cycle is adjusted to get optimum performance in term of maximizing the travel distance. Various driving scenarios are analyzed in this study. Factors such travel speed, energy level, stop-and-go frequency have been taken into consideration. The experiments showed significant improvement. IEEE 2017-04 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/18228/1/Optimization%20of%20Hybrid%20Electric%20Vehicle%20Control%20for%20Efficient%20Performance%20at%20Critical%20Energy%20Levels.pdf pdf en http://umpir.ump.edu.my/id/eprint/18228/2/Optimization%20of%20Hybrid%20Electric%20Vehicle%20Control%20for%20Efficient%20Performance%20at%20Critical%20Energy%20Levels%201.pdf Alsibai, Mohammed Hayyan and Sayong, Maxwell and Koay, Li Woon and Atnaw, Samson M. and Nurul Nadia, Nor Hamran (2017) Optimization of hybrid electric vehicle control for efficient performance at critical energy levels. In: 6th IEEE International Conference on Control System, Computing and Engineering (ICCSCE 2016) , 25-27 November 2016 , PARK ROYAL Penang Resort, Penang; Malaysia. pp. 205-210.. ISBN 978-1-5090-1178-0 https://ieeexplore.ieee.org/document/7893572/ |
| spellingShingle | T Technology (General) Alsibai, Mohammed Hayyan Sayong, Maxwell Koay, Li Woon Atnaw, Samson M. Nurul Nadia, Nor Hamran Optimization of hybrid electric vehicle control for efficient performance at critical energy levels |
| title | Optimization of hybrid electric vehicle control for efficient performance at critical energy levels |
| title_full | Optimization of hybrid electric vehicle control for efficient performance at critical energy levels |
| title_fullStr | Optimization of hybrid electric vehicle control for efficient performance at critical energy levels |
| title_full_unstemmed | Optimization of hybrid electric vehicle control for efficient performance at critical energy levels |
| title_short | Optimization of hybrid electric vehicle control for efficient performance at critical energy levels |
| title_sort | optimization of hybrid electric vehicle control for efficient performance at critical energy levels |
| topic | T Technology (General) |
| url | http://umpir.ump.edu.my/id/eprint/18228/1/Optimization%20of%20Hybrid%20Electric%20Vehicle%20Control%20for%20Efficient%20Performance%20at%20Critical%20Energy%20Levels.pdf http://umpir.ump.edu.my/id/eprint/18228/2/Optimization%20of%20Hybrid%20Electric%20Vehicle%20Control%20for%20Efficient%20Performance%20at%20Critical%20Energy%20Levels%201.pdf |
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