Optimization of Parameter Matching of Hybrid Power System for HEV based on NSGA-Ⅱ Algorithm
Aiming at the defects of single target for traditional parameter optimization on hybrid power for hybrid electric vehicle（ HEV）,the fuel economy,emission and riding comfort are as the multi-objectives optimization object,and taking the entire dynamic performance is as constraint condition,then the N...
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| Format: | Article |
| Language: | zho |
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Editorial Office of Journal of Mechanical Transmission
2016-01-01
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| Series: | Jixie chuandong |
| Subjects: | |
| Online Access: | http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2016.09.013 |
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| _version_ | 1841548015450456064 |
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| author | Deng Tao Xu Bin Li Decai Luo Weixing |
| author_facet | Deng Tao Xu Bin Li Decai Luo Weixing |
| author_sort | Deng Tao |
| collection | DOAJ |
| description | Aiming at the defects of single target for traditional parameter optimization on hybrid power for hybrid electric vehicle（ HEV）,the fuel economy,emission and riding comfort are as the multi-objectives optimization object,and taking the entire dynamic performance is as constraint condition,then the Non-dominated Sorting Genetic Algorithm-Ⅱ（ NSGA-Ⅱ） multi-objectives parameter optimization algorithm is proposed. The optimization results show that under the condition of meeting dynamic performance and good vehicle speed following effect,the average fuel economy increases by 5. 51%,the average emission increases by 14. 86%,the comfort performance meets with the riding requirements,and the maximum charging and discharging current reduces by half. Moreover,a series of global optimal solution of homogeneous distribution are obtained with the proposed algorithm,and the optimization results are satisfactory,which prove the proposed NSGA-Ⅱ multi-objectives parameter optimization algorithm is accurate and feasible. |
| format | Article |
| id | doaj-art-e30e37427a654d9094999ec3e0d6fd37 |
| institution | Kabale University |
| issn | 1004-2539 |
| language | zho |
| publishDate | 2016-01-01 |
| publisher | Editorial Office of Journal of Mechanical Transmission |
| record_format | Article |
| series | Jixie chuandong |
| spelling | doaj-art-e30e37427a654d9094999ec3e0d6fd372025-01-10T14:15:37ZzhoEditorial Office of Journal of Mechanical TransmissionJixie chuandong1004-25392016-01-0140616629925859Optimization of Parameter Matching of Hybrid Power System for HEV based on NSGA-Ⅱ AlgorithmDeng TaoXu BinLi DecaiLuo WeixingAiming at the defects of single target for traditional parameter optimization on hybrid power for hybrid electric vehicle（ HEV）,the fuel economy,emission and riding comfort are as the multi-objectives optimization object,and taking the entire dynamic performance is as constraint condition,then the Non-dominated Sorting Genetic Algorithm-Ⅱ（ NSGA-Ⅱ） multi-objectives parameter optimization algorithm is proposed. The optimization results show that under the condition of meeting dynamic performance and good vehicle speed following effect,the average fuel economy increases by 5. 51%,the average emission increases by 14. 86%,the comfort performance meets with the riding requirements,and the maximum charging and discharging current reduces by half. Moreover,a series of global optimal solution of homogeneous distribution are obtained with the proposed algorithm,and the optimization results are satisfactory,which prove the proposed NSGA-Ⅱ multi-objectives parameter optimization algorithm is accurate and feasible.http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2016.09.013HEVHybrid powerUltracapacitorParameter optimizationNSGA-Ⅱ algorithm |
| spellingShingle | Deng Tao Xu Bin Li Decai Luo Weixing Optimization of Parameter Matching of Hybrid Power System for HEV based on NSGA-Ⅱ Algorithm Jixie chuandong HEV Hybrid power Ultracapacitor Parameter optimization NSGA-Ⅱ algorithm |
| title | Optimization of Parameter Matching of Hybrid Power System for HEV based on NSGA-Ⅱ Algorithm |
| title_full | Optimization of Parameter Matching of Hybrid Power System for HEV based on NSGA-Ⅱ Algorithm |
| title_fullStr | Optimization of Parameter Matching of Hybrid Power System for HEV based on NSGA-Ⅱ Algorithm |
| title_full_unstemmed | Optimization of Parameter Matching of Hybrid Power System for HEV based on NSGA-Ⅱ Algorithm |
| title_short | Optimization of Parameter Matching of Hybrid Power System for HEV based on NSGA-Ⅱ Algorithm |
| title_sort | optimization of parameter matching of hybrid power system for hev based on nsga ii algorithm |
| topic | HEV Hybrid power Ultracapacitor Parameter optimization NSGA-Ⅱ algorithm |
| url | http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2016.09.013 |
| work_keys_str_mv | AT dengtao optimizationofparametermatchingofhybridpowersystemforhevbasedonnsgaiialgorithm AT xubin optimizationofparametermatchingofhybridpowersystemforhevbasedonnsgaiialgorithm AT lidecai optimizationofparametermatchingofhybridpowersystemforhevbasedonnsgaiialgorithm AT luoweixing optimizationofparametermatchingofhybridpowersystemforhevbasedonnsgaiialgorithm |