Multi-objective Optimization for Hybrid Power System based on the Differential Evolution Algorithm
Considering the disadvantages of energy management multi- objectives optimization for hybrid electric vehicle（ HEV） which usually adopts weighted sum method,by using the Pareto optimum algorithm,based on non- dominated sorting method to deal with the fuel economy and emissions（ CO,NOxand HC） evaluat...
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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 |
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| Online Access: | http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2016.10.015 |
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| author | Deng Tao Lin Chunsong Li Ya’nan Lu Renzhi |
| author_facet | Deng Tao Lin Chunsong Li Ya’nan Lu Renzhi |
| author_sort | Deng Tao |
| collection | DOAJ |
| description | Considering the disadvantages of energy management multi- objectives optimization for hybrid electric vehicle（ HEV） which usually adopts weighted sum method,by using the Pareto optimum algorithm,based on non- dominated sorting method to deal with the fuel economy and emissions（ CO,NOxand HC） evaluation indexes,then a new adaptive differential evolution algorithm is proposed and simulated which can be applied to multi- objective optimization of HEV energy management. The simulation results show that,a Pareto optimal solution set can be obtained by the proposed multi- objectives optimization method. And the maximum fuel economy increases by 5. 30%,the largest CO emissions reduces by 3. 65%,in the biggest NOxfalls by 14.40%,the max HC drops down by 3.26%. |
| format | Article |
| id | doaj-art-30f7daa1466744c78d5877afedf6aa6c |
| institution | DOAJ |
| 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-30f7daa1466744c78d5877afedf6aa6c2025-08-20T02:47:47ZzhoEditorial Office of Journal of Mechanical TransmissionJixie chuandong1004-25392016-01-0140808429926485Multi-objective Optimization for Hybrid Power System based on the Differential Evolution AlgorithmDeng TaoLin ChunsongLi Ya’nanLu RenzhiConsidering the disadvantages of energy management multi- objectives optimization for hybrid electric vehicle（ HEV） which usually adopts weighted sum method,by using the Pareto optimum algorithm,based on non- dominated sorting method to deal with the fuel economy and emissions（ CO,NOxand HC） evaluation indexes,then a new adaptive differential evolution algorithm is proposed and simulated which can be applied to multi- objective optimization of HEV energy management. The simulation results show that,a Pareto optimal solution set can be obtained by the proposed multi- objectives optimization method. And the maximum fuel economy increases by 5. 30%,the largest CO emissions reduces by 3. 65%,in the biggest NOxfalls by 14.40%,the max HC drops down by 3.26%.http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2016.10.015Hybrid powerMulti-objective optimizationNon-dominated sortingAdaptive differential evolution algorithmEnergy management |
| spellingShingle | Deng Tao Lin Chunsong Li Ya’nan Lu Renzhi Multi-objective Optimization for Hybrid Power System based on the Differential Evolution Algorithm Jixie chuandong Hybrid power Multi-objective optimization Non-dominated sorting Adaptive differential evolution algorithm Energy management |
| title | Multi-objective Optimization for Hybrid Power System based on the Differential Evolution Algorithm |
| title_full | Multi-objective Optimization for Hybrid Power System based on the Differential Evolution Algorithm |
| title_fullStr | Multi-objective Optimization for Hybrid Power System based on the Differential Evolution Algorithm |
| title_full_unstemmed | Multi-objective Optimization for Hybrid Power System based on the Differential Evolution Algorithm |
| title_short | Multi-objective Optimization for Hybrid Power System based on the Differential Evolution Algorithm |
| title_sort | multi objective optimization for hybrid power system based on the differential evolution algorithm |
| topic | Hybrid power Multi-objective optimization Non-dominated sorting Adaptive differential evolution algorithm Energy management |
| url | http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2016.10.015 |
| work_keys_str_mv | AT dengtao multiobjectiveoptimizationforhybridpowersystembasedonthedifferentialevolutionalgorithm AT linchunsong multiobjectiveoptimizationforhybridpowersystembasedonthedifferentialevolutionalgorithm AT liyanan multiobjectiveoptimizationforhybridpowersystembasedonthedifferentialevolutionalgorithm AT lurenzhi multiobjectiveoptimizationforhybridpowersystembasedonthedifferentialevolutionalgorithm |