High Gain Converter with Improved Radial Basis Function Network for Fuel Cell Integrated Electric Vehicles
In a recent trend, electric vehicles (EV) have been facing various power quality issues, so fuel cells (FC) are considered the best choice for integrating EV technology to enhance performance. A fuel cell electric vehicle (FCEV) is a type of EV that uses a fuel cell combined with a small battery or...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-01-01
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| Series: | World Electric Vehicle Journal |
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| Online Access: | https://www.mdpi.com/2032-6653/13/2/31 |
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| author | Balasubramanian Girirajan Himanshu Shekhar Wen-Cheng Lai Hariraj Kumar Jagannathan Parameshachari Bidare Divakarachar |
| author_facet | Balasubramanian Girirajan Himanshu Shekhar Wen-Cheng Lai Hariraj Kumar Jagannathan Parameshachari Bidare Divakarachar |
| author_sort | Balasubramanian Girirajan |
| collection | DOAJ |
| description | In a recent trend, electric vehicles (EV) have been facing various power quality issues, so fuel cells (FC) are considered the best choice for integrating EV technology to enhance performance. A fuel cell electric vehicle (FCEV) is a type of EV that uses a fuel cell combined with a small battery or super-capacitor to power its on-board electric motor. However, the power obtained from the FC system is much less and is not enough to drive the EV. So, another energy source is required to deliver the demanded power, which should contain high voltage gain with high conversion efficiency. The traditional converter produces a high output voltage at a high duty cycle, which generates various problems, such as reverse recovery issues, voltage spikes, and less lifespan. High switching frequency and voltage gain are essential for the propulsion of FC-based EV. Therefore, this paper presents an improved radial basis function (RBF)-based high-gain converter (HGC) to enhance the voltage gain and conversion efficiency of the entire system. The RBF neural model was constructed using the fast recursive algorithm (FRA) strategy to prune redundant hidden-layer neurons. The improved RBF technique reduces the input current ripple and voltage stress on the power semiconductor devices to increase the conversion ratio of the HGC without changing the duty cycle value. In the end, the improved RBF with HGC achieved an efficiency of 98.272%, vehicle speed of 91 km/h, and total harmonic distortion (THD) of 3.12%, which was simulated using MATLAB, and its waveforms for steady-state operation were analyzed and compared with existing methods. |
| first_indexed | 2024-03-09T20:50:09Z |
| format | Article |
| id | doaj.art-076c85feed0d4e91bbddeaea474b6371 |
| institution | Directory Open Access Journal |
| issn | 2032-6653 |
| language | English |
| last_indexed | 2024-03-09T20:50:09Z |
| publishDate | 2022-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | World Electric Vehicle Journal |
| spelling | doaj.art-076c85feed0d4e91bbddeaea474b63712023-11-23T22:35:49ZengMDPI AGWorld Electric Vehicle Journal2032-66532022-01-011323110.3390/wevj13020031High Gain Converter with Improved Radial Basis Function Network for Fuel Cell Integrated Electric VehiclesBalasubramanian Girirajan0Himanshu Shekhar1Wen-Cheng Lai2Hariraj Kumar Jagannathan3Parameshachari Bidare Divakarachar4Collaboratory for Social Innovation, SR University, Warangal 506371, IndiaDepartment of Electronics and Communication Engineering, Hindustan Institute of Technology and Science, Kelambakkam 603103, IndiaDepartment of Electronic Engineering, National Yunlin University of Science and Technology, Yunlin 64002, TaiwanDepartment of Electronics and Communication Engineering, Sona College of Technology, Salem 636005, IndiaDepartment of Telecommunication Engineering, GSSS Institute of Engineering and Technology for Women, Mysuru 570016, IndiaIn a recent trend, electric vehicles (EV) have been facing various power quality issues, so fuel cells (FC) are considered the best choice for integrating EV technology to enhance performance. A fuel cell electric vehicle (FCEV) is a type of EV that uses a fuel cell combined with a small battery or super-capacitor to power its on-board electric motor. However, the power obtained from the FC system is much less and is not enough to drive the EV. So, another energy source is required to deliver the demanded power, which should contain high voltage gain with high conversion efficiency. The traditional converter produces a high output voltage at a high duty cycle, which generates various problems, such as reverse recovery issues, voltage spikes, and less lifespan. High switching frequency and voltage gain are essential for the propulsion of FC-based EV. Therefore, this paper presents an improved radial basis function (RBF)-based high-gain converter (HGC) to enhance the voltage gain and conversion efficiency of the entire system. The RBF neural model was constructed using the fast recursive algorithm (FRA) strategy to prune redundant hidden-layer neurons. The improved RBF technique reduces the input current ripple and voltage stress on the power semiconductor devices to increase the conversion ratio of the HGC without changing the duty cycle value. In the end, the improved RBF with HGC achieved an efficiency of 98.272%, vehicle speed of 91 km/h, and total harmonic distortion (THD) of 3.12%, which was simulated using MATLAB, and its waveforms for steady-state operation were analyzed and compared with existing methods.https://www.mdpi.com/2032-6653/13/2/31electric vehiclefast recursive algorithmfuel cellhigh-gain converterimproved radial basis function network |
| spellingShingle | Balasubramanian Girirajan Himanshu Shekhar Wen-Cheng Lai Hariraj Kumar Jagannathan Parameshachari Bidare Divakarachar High Gain Converter with Improved Radial Basis Function Network for Fuel Cell Integrated Electric Vehicles World Electric Vehicle Journal electric vehicle fast recursive algorithm fuel cell high-gain converter improved radial basis function network |
| title | High Gain Converter with Improved Radial Basis Function Network for Fuel Cell Integrated Electric Vehicles |
| title_full | High Gain Converter with Improved Radial Basis Function Network for Fuel Cell Integrated Electric Vehicles |
| title_fullStr | High Gain Converter with Improved Radial Basis Function Network for Fuel Cell Integrated Electric Vehicles |
| title_full_unstemmed | High Gain Converter with Improved Radial Basis Function Network for Fuel Cell Integrated Electric Vehicles |
| title_short | High Gain Converter with Improved Radial Basis Function Network for Fuel Cell Integrated Electric Vehicles |
| title_sort | high gain converter with improved radial basis function network for fuel cell integrated electric vehicles |
| topic | electric vehicle fast recursive algorithm fuel cell high-gain converter improved radial basis function network |
| url | https://www.mdpi.com/2032-6653/13/2/31 |
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