Simultaneous perturbation stochastic approximation optimization for energy management strategy of HEV
This paper addresses optimization for hybrid electric vehicle (HEV). This project is using a single agent method to optimize the power losses under a specific driving cycle which is simultaneous perturbation stochastic approximation (SPSA) based method. For optimization process, four gain are added...
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| Format: | Book Chapter |
| Language: | English English English |
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Springer Singapore
2018
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| Online Access: | http://umpir.ump.edu.my/id/eprint/22666/1/15.%20Simultaneous%20perturbation%20stochastic%20approximation%20optimization%20for%20energy.pdf http://umpir.ump.edu.my/id/eprint/22666/13/48.%20Simultaneous%20perturbation%20stochastic%20approximation%20optimization%20for%20energy%20management%20strategy%20of%20HEV.pdf http://umpir.ump.edu.my/id/eprint/22666/14/48.1%20Simultaneous%20perturbation%20stochastic%20approximation%20optimization%20for%20energy%20management%20strategy%20of%20HEV.pdf |
| _version_ | 1825812339913392128 |
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| author | Muhammad Fadhlan, Afif Bin Nazri Muhammad Ikram, Mohd Rashid Mohd Rashid |
| author_facet | Muhammad Fadhlan, Afif Bin Nazri Muhammad Ikram, Mohd Rashid Mohd Rashid |
| author_sort | Muhammad Fadhlan, Afif Bin Nazri |
| collection | UMP |
| description | This paper addresses optimization for hybrid electric vehicle (HEV). This project is using a single agent method to optimize the power losses under a specific driving cycle which is simultaneous perturbation stochastic approximation (SPSA) based method. For optimization process, four gain are added in four main parts of the HEV system. Those main parts are engine, motor, generator and battery. These four gain is controlled the output for each components to give the minimum power losses. The design method is applied to free model of HEV by using Simulink/MATLAB software while M-File/MATLAB is used to apply the SPSA method. The result from design method achieved a minimum reduction of power losses compared to original system. Thus, the comparison of result has been done to show the different before and after optimization. |
| first_indexed | 2024-03-06T12:27:42Z |
| format | Book Chapter |
| id | UMPir22666 |
| institution | Universiti Malaysia Pahang |
| language | English English English |
| last_indexed | 2024-03-06T12:27:42Z |
| publishDate | 2018 |
| publisher | Springer Singapore |
| record_format | dspace |
| spelling | UMPir226662019-05-30T01:07:44Z http://umpir.ump.edu.my/id/eprint/22666/ Simultaneous perturbation stochastic approximation optimization for energy management strategy of HEV Muhammad Fadhlan, Afif Bin Nazri Muhammad Ikram, Mohd Rashid Mohd Rashid TK Electrical engineering. Electronics Nuclear engineering TL Motor vehicles. Aeronautics. Astronautics This paper addresses optimization for hybrid electric vehicle (HEV). This project is using a single agent method to optimize the power losses under a specific driving cycle which is simultaneous perturbation stochastic approximation (SPSA) based method. For optimization process, four gain are added in four main parts of the HEV system. Those main parts are engine, motor, generator and battery. These four gain is controlled the output for each components to give the minimum power losses. The design method is applied to free model of HEV by using Simulink/MATLAB software while M-File/MATLAB is used to apply the SPSA method. The result from design method achieved a minimum reduction of power losses compared to original system. Thus, the comparison of result has been done to show the different before and after optimization. Springer Singapore 2018 Book Chapter PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/22666/1/15.%20Simultaneous%20perturbation%20stochastic%20approximation%20optimization%20for%20energy.pdf pdf en http://umpir.ump.edu.my/id/eprint/22666/13/48.%20Simultaneous%20perturbation%20stochastic%20approximation%20optimization%20for%20energy%20management%20strategy%20of%20HEV.pdf pdf en http://umpir.ump.edu.my/id/eprint/22666/14/48.1%20Simultaneous%20perturbation%20stochastic%20approximation%20optimization%20for%20energy%20management%20strategy%20of%20HEV.pdf Muhammad Fadhlan, Afif Bin Nazri and Muhammad Ikram, Mohd Rashid and Mohd Rashid (2018) Simultaneous perturbation stochastic approximation optimization for energy management strategy of HEV. In: Proceedings of the 10th National Technical Seminar on Underwater System Technology 2018. Lecture Notes in Electrical Engineering . Springer Singapore, Singapore, pp. 361-368. ISBN 978-981-13-3708-6 https://link.springer.com/chapter/10.1007/978-981-13-3708-6_31 DOI:https://doi.org/10.1007/978-981-13-3708-6_31 |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering TL Motor vehicles. Aeronautics. Astronautics Muhammad Fadhlan, Afif Bin Nazri Muhammad Ikram, Mohd Rashid Mohd Rashid Simultaneous perturbation stochastic approximation optimization for energy management strategy of HEV |
| title | Simultaneous perturbation stochastic approximation optimization for energy management strategy of HEV |
| title_full | Simultaneous perturbation stochastic approximation optimization for energy management strategy of HEV |
| title_fullStr | Simultaneous perturbation stochastic approximation optimization for energy management strategy of HEV |
| title_full_unstemmed | Simultaneous perturbation stochastic approximation optimization for energy management strategy of HEV |
| title_short | Simultaneous perturbation stochastic approximation optimization for energy management strategy of HEV |
| title_sort | simultaneous perturbation stochastic approximation optimization for energy management strategy of hev |
| topic | TK Electrical engineering. Electronics Nuclear engineering TL Motor vehicles. Aeronautics. Astronautics |
| url | http://umpir.ump.edu.my/id/eprint/22666/1/15.%20Simultaneous%20perturbation%20stochastic%20approximation%20optimization%20for%20energy.pdf http://umpir.ump.edu.my/id/eprint/22666/13/48.%20Simultaneous%20perturbation%20stochastic%20approximation%20optimization%20for%20energy%20management%20strategy%20of%20HEV.pdf http://umpir.ump.edu.my/id/eprint/22666/14/48.1%20Simultaneous%20perturbation%20stochastic%20approximation%20optimization%20for%20energy%20management%20strategy%20of%20HEV.pdf |
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