Design and Multi-Objective Optimization of an Electric Inflatable Pontoon Amphibious Vehicle
This paper presents the design of an electric amphibious vehicle with buoyancy provided by inflatable pontoons, referred to as the Electric Inflatable Pontoon amphibious vehicle (E-IPAMV). To investigate the effect of pontoon arrangements on resistance performance, maneuverability, seakeeping, trans...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-01-01
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| Series: | World Electric Vehicle Journal |
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| Online Access: | https://www.mdpi.com/2032-6653/16/2/58 |
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| author | Dong Zou Xuejian Jiao Yuding Zhou Chenkai Yang |
| author_facet | Dong Zou Xuejian Jiao Yuding Zhou Chenkai Yang |
| author_sort | Dong Zou |
| collection | DOAJ |
| description | This paper presents the design of an electric amphibious vehicle with buoyancy provided by inflatable pontoons, referred to as the Electric Inflatable Pontoon amphibious vehicle (E-IPAMV). To investigate the effect of pontoon arrangements on resistance performance, maneuverability, seakeeping, transverse stability, and longitudinal stability of E-IPAMV, STAR-CCM+ and Maxsurf are used to solve the above performance parameters. A constrained space Latin hypercube experimental design is employed, using the lengths of the inflatable pontoons at five installation positions as input variables, and total resistance, steady turning diameter, maximum pitch angle, transverse metacentric height, and longitudinal metacentric height as output variables. A neural network model is then established and validated. Based on this model, NSGA-II is employed to optimize the pontoon lengths at the five installation positions, yielding Pareto-optimal solutions. Finally, considering project and manufacturing requirements, two optimized design schemes are proposed. Compared to the original design, optimization scheme 1 shows a slight reduction in seakeeping but improvements in other hydrodynamic performances. Meanwhile, optimization scheme 2 enhances all hydrodynamic performances. Specifically, in optimization scheme 2, maneuverability increases by the smallest amount, showing 23.43% improvement compared to the original design, while transverse stability sees the greatest improvement, increasing by 290.99% compared to the original design. |
| format | Article |
| id | doaj-art-1c4fec12ba064b4ca9dc5f347ed62f8f |
| institution | DOAJ |
| issn | 2032-6653 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | World Electric Vehicle Journal |
| spelling | doaj-art-1c4fec12ba064b4ca9dc5f347ed62f8f2025-08-20T03:12:12ZengMDPI AGWorld Electric Vehicle Journal2032-66532025-01-011625810.3390/wevj16020058Design and Multi-Objective Optimization of an Electric Inflatable Pontoon Amphibious VehicleDong Zou0Xuejian Jiao1Yuding Zhou2Chenkai Yang3School of Transportation and Vehicle Engineering, Shandong University of Technology, Zibo 255000, ChinaSchool of Transportation and Vehicle Engineering, Shandong University of Technology, Zibo 255000, ChinaSchool of Transportation and Vehicle Engineering, Shandong University of Technology, Zibo 255000, ChinaSchool of Transportation and Vehicle Engineering, Shandong University of Technology, Zibo 255000, ChinaThis paper presents the design of an electric amphibious vehicle with buoyancy provided by inflatable pontoons, referred to as the Electric Inflatable Pontoon amphibious vehicle (E-IPAMV). To investigate the effect of pontoon arrangements on resistance performance, maneuverability, seakeeping, transverse stability, and longitudinal stability of E-IPAMV, STAR-CCM+ and Maxsurf are used to solve the above performance parameters. A constrained space Latin hypercube experimental design is employed, using the lengths of the inflatable pontoons at five installation positions as input variables, and total resistance, steady turning diameter, maximum pitch angle, transverse metacentric height, and longitudinal metacentric height as output variables. A neural network model is then established and validated. Based on this model, NSGA-II is employed to optimize the pontoon lengths at the five installation positions, yielding Pareto-optimal solutions. Finally, considering project and manufacturing requirements, two optimized design schemes are proposed. Compared to the original design, optimization scheme 1 shows a slight reduction in seakeeping but improvements in other hydrodynamic performances. Meanwhile, optimization scheme 2 enhances all hydrodynamic performances. Specifically, in optimization scheme 2, maneuverability increases by the smallest amount, showing 23.43% improvement compared to the original design, while transverse stability sees the greatest improvement, increasing by 290.99% compared to the original design.https://www.mdpi.com/2032-6653/16/2/58electric amphibious vehicleinflatable pontoonCFDoptimizationhydrodynamic performanceneural network |
| spellingShingle | Dong Zou Xuejian Jiao Yuding Zhou Chenkai Yang Design and Multi-Objective Optimization of an Electric Inflatable Pontoon Amphibious Vehicle World Electric Vehicle Journal electric amphibious vehicle inflatable pontoon CFD optimization hydrodynamic performance neural network |
| title | Design and Multi-Objective Optimization of an Electric Inflatable Pontoon Amphibious Vehicle |
| title_full | Design and Multi-Objective Optimization of an Electric Inflatable Pontoon Amphibious Vehicle |
| title_fullStr | Design and Multi-Objective Optimization of an Electric Inflatable Pontoon Amphibious Vehicle |
| title_full_unstemmed | Design and Multi-Objective Optimization of an Electric Inflatable Pontoon Amphibious Vehicle |
| title_short | Design and Multi-Objective Optimization of an Electric Inflatable Pontoon Amphibious Vehicle |
| title_sort | design and multi objective optimization of an electric inflatable pontoon amphibious vehicle |
| topic | electric amphibious vehicle inflatable pontoon CFD optimization hydrodynamic performance neural network |
| url | https://www.mdpi.com/2032-6653/16/2/58 |
| work_keys_str_mv | AT dongzou designandmultiobjectiveoptimizationofanelectricinflatablepontoonamphibiousvehicle AT xuejianjiao designandmultiobjectiveoptimizationofanelectricinflatablepontoonamphibiousvehicle AT yudingzhou designandmultiobjectiveoptimizationofanelectricinflatablepontoonamphibiousvehicle AT chenkaiyang designandmultiobjectiveoptimizationofanelectricinflatablepontoonamphibiousvehicle |