Energy Management Strategy (EMS) for Hybrid Electric Vehicles base on Safe Experimentation Dynamics (SED)
This paper addresses optimization for hybrid electric vehicle (HEV) by using a single agent method to optimize the power losses and fuel consumption under a specific driving cycle base on Safe Experimentation Dynamics (SED) method. For optimization process, four gain are added in four main parts of...
| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Language: | English English |
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Universiti Malaysia Pahang
2019
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/26053/ http://umpir.ump.edu.my/id/eprint/26053/1/64.%20Energy%20Management%20Strategy%20%28EMS%29%20for%20Hybrid%20Electric.pdf http://umpir.ump.edu.my/id/eprint/26053/2/64.1%20Energy%20Management%20Strategy%20%28EMS%29%20for%20Hybrid%20Electric.pdf |
| _version_ | 1848822434320351232 |
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| author | Muhammad Ikram, Mohd Rashid Hamdan, Daniyal Mohd Ashraf, Ahmad |
| author_facet | Muhammad Ikram, Mohd Rashid Hamdan, Daniyal Mohd Ashraf, Ahmad |
| author_sort | Muhammad Ikram, Mohd Rashid |
| building | UMP Institutional Repository |
| collection | Online Access |
| description | This paper addresses optimization for hybrid electric vehicle (HEV) by using a single agent method to optimize the power losses and fuel consumption under a specific driving cycle base on Safe Experimentation Dynamics (SED) 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 are 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 Safe Experimentation Dynamics (SED) method. The result from design method achieved minimum reduction of power losses and fuel consumption compared to original system. Thus, the comparison of the simulation results shown that the algorithm approach provides better performance |
| first_indexed | 2025-11-15T02:41:11Z |
| format | Conference or Workshop Item |
| id | ump-26053 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-15T02:41:11Z |
| publishDate | 2019 |
| publisher | Universiti Malaysia Pahang |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-260532019-12-20T07:12:28Z http://umpir.ump.edu.my/id/eprint/26053/ Energy Management Strategy (EMS) for Hybrid Electric Vehicles base on Safe Experimentation Dynamics (SED) Muhammad Ikram, Mohd Rashid Hamdan, Daniyal Mohd Ashraf, Ahmad TK Electrical engineering. Electronics Nuclear engineering This paper addresses optimization for hybrid electric vehicle (HEV) by using a single agent method to optimize the power losses and fuel consumption under a specific driving cycle base on Safe Experimentation Dynamics (SED) 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 are 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 Safe Experimentation Dynamics (SED) method. The result from design method achieved minimum reduction of power losses and fuel consumption compared to original system. Thus, the comparison of the simulation results shown that the algorithm approach provides better performance Universiti Malaysia Pahang 2019 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/26053/1/64.%20Energy%20Management%20Strategy%20%28EMS%29%20for%20Hybrid%20Electric.pdf pdf en http://umpir.ump.edu.my/id/eprint/26053/2/64.1%20Energy%20Management%20Strategy%20%28EMS%29%20for%20Hybrid%20Electric.pdf Muhammad Ikram, Mohd Rashid and Hamdan, Daniyal and Mohd Ashraf, Ahmad (2019) Energy Management Strategy (EMS) for Hybrid Electric Vehicles base on Safe Experimentation Dynamics (SED). In: Advances in Swarm Intelligence. ICSI 2019: International Conference on Swarm Intelligence , 26-30 July 2019 , Chiang Mai, Thailand. pp. 1-7., 11656. ISBN 978-3-030-26354-6 (Published) https://doi.org/10.1007/978-3-030-26354-6_37 |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Muhammad Ikram, Mohd Rashid Hamdan, Daniyal Mohd Ashraf, Ahmad Energy Management Strategy (EMS) for Hybrid Electric Vehicles base on Safe Experimentation Dynamics (SED) |
| title | Energy Management Strategy (EMS) for Hybrid Electric Vehicles base on Safe Experimentation Dynamics (SED) |
| title_full | Energy Management Strategy (EMS) for Hybrid Electric Vehicles base on Safe Experimentation Dynamics (SED) |
| title_fullStr | Energy Management Strategy (EMS) for Hybrid Electric Vehicles base on Safe Experimentation Dynamics (SED) |
| title_full_unstemmed | Energy Management Strategy (EMS) for Hybrid Electric Vehicles base on Safe Experimentation Dynamics (SED) |
| title_short | Energy Management Strategy (EMS) for Hybrid Electric Vehicles base on Safe Experimentation Dynamics (SED) |
| title_sort | energy management strategy (ems) for hybrid electric vehicles base on safe experimentation dynamics (sed) |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | http://umpir.ump.edu.my/id/eprint/26053/ http://umpir.ump.edu.my/id/eprint/26053/ http://umpir.ump.edu.my/id/eprint/26053/1/64.%20Energy%20Management%20Strategy%20%28EMS%29%20for%20Hybrid%20Electric.pdf http://umpir.ump.edu.my/id/eprint/26053/2/64.1%20Energy%20Management%20Strategy%20%28EMS%29%20for%20Hybrid%20Electric.pdf |