Optimal selection for an air suspension system on buses through a unique high level parameter in genetic algorithms
Air suspension systems are being widely used on ground vehicles in general and buses in particular. The element that makes the superiority of this system is air spring. This paper introduces the application of genetic algorithms method to optimize the parameters of the air spring element. A full mod...
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| Format: | Article |
| Language: | English |
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Elsevier
2022-03-01
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| Series: | Heliyon |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2405844022003474 |
| _version_ | 1811328371999637504 |
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| author | Truong Manh Hung |
| author_facet | Truong Manh Hung |
| author_sort | Truong Manh Hung |
| collection | DOAJ |
| description | Air suspension systems are being widely used on ground vehicles in general and buses in particular. The element that makes the superiority of this system is air spring. This paper introduces the application of genetic algorithms method to optimize the parameters of the air spring element. A full model of a bus using air suspension system with air spring element, which is modeled based on the Gensys model. From the real experiments, the bounds of seven optimized parameters of the air spring are determined. In which, by using a single α value, it is possible to determine the optimal parameters according to each desired criteria between the road safety and the ride comfort. Optimal results are verified in the time domain simulations with random road profile according to the ISO standard 8608. The results show that by using the optimal parameters of the air spring when α = 0.5, the ride comfort is improved about 15% while the road safety is still guaranteed. |
| first_indexed | 2024-04-13T15:23:49Z |
| format | Article |
| id | doaj.art-e1c2e55b16d144a3b07b392a9e021d15 |
| institution | Directory Open Access Journal |
| issn | 2405-8440 |
| language | English |
| last_indexed | 2024-04-13T15:23:49Z |
| publishDate | 2022-03-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Heliyon |
| spelling | doaj.art-e1c2e55b16d144a3b07b392a9e021d152022-12-22T02:41:34ZengElsevierHeliyon2405-84402022-03-0183e09059Optimal selection for an air suspension system on buses through a unique high level parameter in genetic algorithmsTruong Manh Hung0Corresponding author.; Department of Automotive Mechanical Engineering, Faculty of Mechanical Engineering, University of Transport and Communications, Hanoi, 100000, Viet NamAir suspension systems are being widely used on ground vehicles in general and buses in particular. The element that makes the superiority of this system is air spring. This paper introduces the application of genetic algorithms method to optimize the parameters of the air spring element. A full model of a bus using air suspension system with air spring element, which is modeled based on the Gensys model. From the real experiments, the bounds of seven optimized parameters of the air spring are determined. In which, by using a single α value, it is possible to determine the optimal parameters according to each desired criteria between the road safety and the ride comfort. Optimal results are verified in the time domain simulations with random road profile according to the ISO standard 8608. The results show that by using the optimal parameters of the air spring when α = 0.5, the ride comfort is improved about 15% while the road safety is still guaranteed.http://www.sciencedirect.com/science/article/pii/S2405844022003474Vehicle dynamicsAir suspensionAir springGenetic algorithmRide comfortRoad holding |
| spellingShingle | Truong Manh Hung Optimal selection for an air suspension system on buses through a unique high level parameter in genetic algorithms Heliyon Vehicle dynamics Air suspension Air spring Genetic algorithm Ride comfort Road holding |
| title | Optimal selection for an air suspension system on buses through a unique high level parameter in genetic algorithms |
| title_full | Optimal selection for an air suspension system on buses through a unique high level parameter in genetic algorithms |
| title_fullStr | Optimal selection for an air suspension system on buses through a unique high level parameter in genetic algorithms |
| title_full_unstemmed | Optimal selection for an air suspension system on buses through a unique high level parameter in genetic algorithms |
| title_short | Optimal selection for an air suspension system on buses through a unique high level parameter in genetic algorithms |
| title_sort | optimal selection for an air suspension system on buses through a unique high level parameter in genetic algorithms |
| topic | Vehicle dynamics Air suspension Air spring Genetic algorithm Ride comfort Road holding |
| url | http://www.sciencedirect.com/science/article/pii/S2405844022003474 |
| work_keys_str_mv | AT truongmanhhung optimalselectionforanairsuspensionsystemonbusesthroughauniquehighlevelparameteringeneticalgorithms |