A Universal Source DC–DC Boost Converter for PEMFC-Fed EV Systems With Optimization-Based MPPT Controller
Conventional energy networks produce energy with less efficiency. Also, these source’s development costs and size are more. So, the world is focusing on renewable energy networks for energy production to the consumer. In this work, a proton exchange membrane fuel stack (PEMFS) technology is selected...
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| Format: | Article |
| Language: | English |
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Wiley
2024-01-01
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| Series: | International Transactions on Electrical Energy Systems |
| Online Access: | http://dx.doi.org/10.1155/2024/5520331 |
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| author | C. H. Hussaian Basha Shaik Rafikiran Ezzeddine Touti Besma Bechir Graba Mouloud Aoudia |
| author_facet | C. H. Hussaian Basha Shaik Rafikiran Ezzeddine Touti Besma Bechir Graba Mouloud Aoudia |
| author_sort | C. H. Hussaian Basha |
| collection | DOAJ |
| description | Conventional energy networks produce energy with less efficiency. Also, these source’s development costs and size are more. So, the world is focusing on renewable energy networks for energy production to the consumer. In this work, a proton exchange membrane fuel stack (PEMFS) technology is selected for energy feeding to the hydrogen vehicle. The merits of this stack are more abundant, faster fuel stack operational response, and more efficient for electrical automotive networks. However, the fuel stack’s energy production is nonlinear and its operational point varies concerning the fuel stack device operating temperature. The particle swarm optimized adaptive network-based fuzzy inference system (PSO-ANFIS) is proposed in this work to find the operational point of the fuel cell network. The features of this hybrid methodology are the low number of iteration values required, low convergence time, low-level dependence on the fuel stack, and high compliance for the quick deviations of the fuel system temperature. The operating efficiency and tracking time of the proposed maximum power point tracking (MPPT) controller are 95.60% and 0.1089 s. Another issue of the fuel cell is high output current generation and less voltage production. This condition is happening in the fuel cell because of its chemical reaction dynamics, internal resistance of the cell, and electrochemical potential. Due to this excess current flow in the fuel cell, the direct fuel stack-fed electrical networks face the issue of high power conduction losses. To reduce the power conduction losses of the system, a single-switch power circuit is used to reduce fuel source current, thereby optimizing the excessive power losses of the system. The whole fuel stack energy production network is analyzed by selecting the MATLAB Window. |
| format | Article |
| id | doaj-art-0d0b288c62564c8d9434b8434ab0718d |
| institution | Kabale University |
| issn | 2050-7038 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Transactions on Electrical Energy Systems |
| spelling | doaj-art-0d0b288c62564c8d9434b8434ab0718d2025-02-03T07:20:15ZengWileyInternational Transactions on Electrical Energy Systems2050-70382024-01-01202410.1155/2024/5520331A Universal Source DC–DC Boost Converter for PEMFC-Fed EV Systems With Optimization-Based MPPT ControllerC. H. Hussaian Basha0Shaik Rafikiran1Ezzeddine Touti2Besma Bechir Graba3Mouloud Aoudia4Department of Electrical and Electronics EngineeringDepartment of Electrical and Electronics EngineeringDepartment of Electrical EngineeringDepartment of Electrical EngineeringDepartment of Industrial EngineeringConventional energy networks produce energy with less efficiency. Also, these source’s development costs and size are more. So, the world is focusing on renewable energy networks for energy production to the consumer. In this work, a proton exchange membrane fuel stack (PEMFS) technology is selected for energy feeding to the hydrogen vehicle. The merits of this stack are more abundant, faster fuel stack operational response, and more efficient for electrical automotive networks. However, the fuel stack’s energy production is nonlinear and its operational point varies concerning the fuel stack device operating temperature. The particle swarm optimized adaptive network-based fuzzy inference system (PSO-ANFIS) is proposed in this work to find the operational point of the fuel cell network. The features of this hybrid methodology are the low number of iteration values required, low convergence time, low-level dependence on the fuel stack, and high compliance for the quick deviations of the fuel system temperature. The operating efficiency and tracking time of the proposed maximum power point tracking (MPPT) controller are 95.60% and 0.1089 s. Another issue of the fuel cell is high output current generation and less voltage production. This condition is happening in the fuel cell because of its chemical reaction dynamics, internal resistance of the cell, and electrochemical potential. Due to this excess current flow in the fuel cell, the direct fuel stack-fed electrical networks face the issue of high power conduction losses. To reduce the power conduction losses of the system, a single-switch power circuit is used to reduce fuel source current, thereby optimizing the excessive power losses of the system. The whole fuel stack energy production network is analyzed by selecting the MATLAB Window.http://dx.doi.org/10.1155/2024/5520331 |
| spellingShingle | C. H. Hussaian Basha Shaik Rafikiran Ezzeddine Touti Besma Bechir Graba Mouloud Aoudia A Universal Source DC–DC Boost Converter for PEMFC-Fed EV Systems With Optimization-Based MPPT Controller International Transactions on Electrical Energy Systems |
| title | A Universal Source DC–DC Boost Converter for PEMFC-Fed EV Systems With Optimization-Based MPPT Controller |
| title_full | A Universal Source DC–DC Boost Converter for PEMFC-Fed EV Systems With Optimization-Based MPPT Controller |
| title_fullStr | A Universal Source DC–DC Boost Converter for PEMFC-Fed EV Systems With Optimization-Based MPPT Controller |
| title_full_unstemmed | A Universal Source DC–DC Boost Converter for PEMFC-Fed EV Systems With Optimization-Based MPPT Controller |
| title_short | A Universal Source DC–DC Boost Converter for PEMFC-Fed EV Systems With Optimization-Based MPPT Controller |
| title_sort | universal source dc dc boost converter for pemfc fed ev systems with optimization based mppt controller |
| url | http://dx.doi.org/10.1155/2024/5520331 |
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