Simulated annealing optimization for energy management strategy of HEV
Aimed to optimize the consumption of fuel and electrical power in hybrid electric vehicle which is also called HEV by an algorithm called Simulated Annealing Optimization. The objective function is the power loss and the aim is to lower the output. Nowadays, the developments of hybrid electric cars...
| المؤلفون الرئيسيون: | , |
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| التنسيق: | Conference or Workshop Item |
| اللغة: | English English |
| منشور في: |
Universiti Malaysia Pahang
2018
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| الموضوعات: | |
| الوصول للمادة أونلاين: | http://umpir.ump.edu.my/id/eprint/24588/1/36.%20Simulated%20annealing%20optimization%20for%20energy%20management%20strategy%20of%20%20HEV.pdf http://umpir.ump.edu.my/id/eprint/24588/2/36.1%20Simulated%20annealing%20optimization%20for%20energy%20management%20strategy%20of%20%20HEV.pdf |
| _version_ | 1825812637122822144 |
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| author | Asrul Sani, Ramli Muhammad Ikram, Mohd Rashid |
| author_facet | Asrul Sani, Ramli Muhammad Ikram, Mohd Rashid |
| author_sort | Asrul Sani, Ramli |
| collection | UMP |
| description | Aimed to optimize the consumption of fuel and electrical power in hybrid electric vehicle which is also called HEV by an algorithm called Simulated Annealing Optimization. The objective function is the power loss and the aim is to lower the output. Nowadays, the developments of hybrid electric cars are not something new. There are a lot of research are being done on how to increase the effectiveness of hybrid electric cars. One of the main aspects that are being aim is to reduce the fuel consumption while increasing the HEV performance. Artificial Intelligence such as Simulated Annealing for example are widely used to solve many engineering problem. The main contribution of this paper is on gain tuning. This is because the control parameter is gain in the Simulink Model which is being optimize using the algorithm chosen. |
| first_indexed | 2024-03-06T12:32:06Z |
| format | Conference or Workshop Item |
| id | UMPir24588 |
| institution | Universiti Malaysia Pahang |
| language | English English |
| last_indexed | 2024-03-06T12:32:06Z |
| publishDate | 2018 |
| publisher | Universiti Malaysia Pahang |
| record_format | dspace |
| spelling | UMPir245882019-03-27T05:20:39Z http://umpir.ump.edu.my/id/eprint/24588/ Simulated annealing optimization for energy management strategy of HEV Asrul Sani, Ramli Muhammad Ikram, Mohd Rashid TK Electrical engineering. Electronics Nuclear engineering Aimed to optimize the consumption of fuel and electrical power in hybrid electric vehicle which is also called HEV by an algorithm called Simulated Annealing Optimization. The objective function is the power loss and the aim is to lower the output. Nowadays, the developments of hybrid electric cars are not something new. There are a lot of research are being done on how to increase the effectiveness of hybrid electric cars. One of the main aspects that are being aim is to reduce the fuel consumption while increasing the HEV performance. Artificial Intelligence such as Simulated Annealing for example are widely used to solve many engineering problem. The main contribution of this paper is on gain tuning. This is because the control parameter is gain in the Simulink Model which is being optimize using the algorithm chosen. Universiti Malaysia Pahang 2018-12 Conference or Workshop Item NonPeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/24588/1/36.%20Simulated%20annealing%20optimization%20for%20energy%20management%20strategy%20of%20%20HEV.pdf pdf en http://umpir.ump.edu.my/id/eprint/24588/2/36.1%20Simulated%20annealing%20optimization%20for%20energy%20management%20strategy%20of%20%20HEV.pdf Asrul Sani, Ramli and Muhammad Ikram, Mohd Rashid (2018) Simulated annealing optimization for energy management strategy of HEV. In: The 1st MACE Research Symposium (MaRS 2018) , 12-13 Disember 2018 , Universiti Teknologi Malaysia, Kuala Lumpur, Malaysia. pp. 1-6.. (Unpublished) (Unpublished) |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Asrul Sani, Ramli Muhammad Ikram, Mohd Rashid Simulated annealing optimization for energy management strategy of HEV |
| title | Simulated annealing optimization for energy management strategy of HEV |
| title_full | Simulated annealing optimization for energy management strategy of HEV |
| title_fullStr | Simulated annealing optimization for energy management strategy of HEV |
| title_full_unstemmed | Simulated annealing optimization for energy management strategy of HEV |
| title_short | Simulated annealing optimization for energy management strategy of HEV |
| title_sort | simulated annealing optimization for energy management strategy of hev |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | http://umpir.ump.edu.my/id/eprint/24588/1/36.%20Simulated%20annealing%20optimization%20for%20energy%20management%20strategy%20of%20%20HEV.pdf http://umpir.ump.edu.my/id/eprint/24588/2/36.1%20Simulated%20annealing%20optimization%20for%20energy%20management%20strategy%20of%20%20HEV.pdf |
| work_keys_str_mv | AT asrulsaniramli simulatedannealingoptimizationforenergymanagementstrategyofhev AT muhammadikrammohdrashid simulatedannealingoptimizationforenergymanagementstrategyofhev |