Energy Management System Comparison Among Fuzzy Strategies
This study evaluates and compares energy management systems (EMS) for hybrid vehicles using fuzzy logic strategies to optimize energy distribution between fuel cells (FC) and batteries. Key components, including the Proton Exchange Membrane Fuel Cell (PEMFC) and the Permanent Magnet Synchronous Moto...
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| Format: | Article |
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IEEE
2025-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/11072445/ |
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| author | Julio C. Pena-Aguirre Francisco J. Perez-Pinal Yosafat J. Samano-Flores Alejandro I. Barranco-Gutierrez Gilberto Gonzalez Gomez Tomas Serrano-Ramirez |
| author_facet | Julio C. Pena-Aguirre Francisco J. Perez-Pinal Yosafat J. Samano-Flores Alejandro I. Barranco-Gutierrez Gilberto Gonzalez Gomez Tomas Serrano-Ramirez |
| author_sort | Julio C. Pena-Aguirre |
| collection | DOAJ |
| description | This study evaluates and compares energy management systems (EMS) for hybrid vehicles using fuzzy logic strategies to optimize energy distribution between fuel cells (FC) and batteries. Key components, including the Proton Exchange Membrane Fuel Cell (PEMFC) and the Permanent Magnet Synchronous Motor (PMSM), were modeled and validated using MATLAB-Simulink, LabVIEW, and Hardware-in-the-Loop (HIL) testing. The proposed EMS achieves the highest efficiency, up to a fuel cell average power output of 8.5 kW, an efficiency of 74.35%, and a state of charge (SoC) improvement of 34.25%. Other strategies, including those of (Esoufi et al., 2020, Hemi et al., 2014, and Zhao et al. 2021), exhibited average power outputs ranging from 7.28 to 7.79 kW and SoC improvements of 22.96% to 28.35%. These results emphasize the advantages of the proposed strategy fuzzy logic-based EMS in balancing energy demands, reducing battery stress, and extending battery life under urban driving conditions. The findings highlight fuzzy logic as a superior approach to traditional methods for managing hybrid vehicle powertrains, particularly in scenarios with frequent acceleration and deceleration. |
| format | Article |
| id | doaj-art-2e97c778d1a24b3d8d338a47b4763863 |
| institution | Kabale University |
| issn | 2169-3536 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-2e97c778d1a24b3d8d338a47b47638632025-08-20T03:32:55ZengIEEEIEEE Access2169-35362025-01-011312904012905510.1109/ACCESS.2025.358675411072445Energy Management System Comparison Among Fuzzy StrategiesJulio C. Pena-Aguirre0https://orcid.org/0000-0002-6211-7760Francisco J. Perez-Pinal1https://orcid.org/0000-0002-6116-6464Yosafat J. Samano-Flores2Alejandro I. Barranco-Gutierrez3https://orcid.org/0000-0002-5050-6208Gilberto Gonzalez Gomez4https://orcid.org/0000-0001-8550-888XTomas Serrano-Ramirez5https://orcid.org/0000-0001-6118-3830Ingeniería automotriz, Universidad Politécnica de Guanajuato, Cortazar, MexicoInstituto Tecnológico de Celaya, Tecnológico Nacional de México, Celaya, MexicoIngeniería automotriz, Universidad Politécnica de Guanajuato, Cortazar, MexicoInstituto Tecnológico de Celaya, Tecnológico Nacional de México, Celaya, MexicoInstituto Tecnológico de Celaya, Tecnológico Nacional de México, Celaya, MexicoIngeniería automotriz, Universidad Politécnica de Guanajuato, Cortazar, MexicoThis study evaluates and compares energy management systems (EMS) for hybrid vehicles using fuzzy logic strategies to optimize energy distribution between fuel cells (FC) and batteries. Key components, including the Proton Exchange Membrane Fuel Cell (PEMFC) and the Permanent Magnet Synchronous Motor (PMSM), were modeled and validated using MATLAB-Simulink, LabVIEW, and Hardware-in-the-Loop (HIL) testing. The proposed EMS achieves the highest efficiency, up to a fuel cell average power output of 8.5 kW, an efficiency of 74.35%, and a state of charge (SoC) improvement of 34.25%. Other strategies, including those of (Esoufi et al., 2020, Hemi et al., 2014, and Zhao et al. 2021), exhibited average power outputs ranging from 7.28 to 7.79 kW and SoC improvements of 22.96% to 28.35%. These results emphasize the advantages of the proposed strategy fuzzy logic-based EMS in balancing energy demands, reducing battery stress, and extending battery life under urban driving conditions. The findings highlight fuzzy logic as a superior approach to traditional methods for managing hybrid vehicle powertrains, particularly in scenarios with frequent acceleration and deceleration.https://ieeexplore.ieee.org/document/11072445/Driving cycleenergy management systemfuzzy logicfuzzy strategiesvehicle hybrid |
| spellingShingle | Julio C. Pena-Aguirre Francisco J. Perez-Pinal Yosafat J. Samano-Flores Alejandro I. Barranco-Gutierrez Gilberto Gonzalez Gomez Tomas Serrano-Ramirez Energy Management System Comparison Among Fuzzy Strategies IEEE Access Driving cycle energy management system fuzzy logic fuzzy strategies vehicle hybrid |
| title | Energy Management System Comparison Among Fuzzy Strategies |
| title_full | Energy Management System Comparison Among Fuzzy Strategies |
| title_fullStr | Energy Management System Comparison Among Fuzzy Strategies |
| title_full_unstemmed | Energy Management System Comparison Among Fuzzy Strategies |
| title_short | Energy Management System Comparison Among Fuzzy Strategies |
| title_sort | energy management system comparison among fuzzy strategies |
| topic | Driving cycle energy management system fuzzy logic fuzzy strategies vehicle hybrid |
| url | https://ieeexplore.ieee.org/document/11072445/ |
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