Research Status of Control Strategy for Hybrid Electric Vehicle
The hybrid electric vehicles are the mature product that transits from conventional vehicles to electric vehicles and have a great development prospect. The typical transmission structure of series hybrid electric vehicles,parallel hybrid electric vehicles and series- parallel hybrid electric vehicl...
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| Format: | Article |
| Language: | zho |
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Editorial Office of Journal of Mechanical Transmission
2017-01-01
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| Series: | Jixie chuandong |
| Subjects: | |
| Online Access: | http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2017.01.042 |
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| author | He Xiaolu Bao Jiusheng Yin Yan Ma Chi |
| author_facet | He Xiaolu Bao Jiusheng Yin Yan Ma Chi |
| author_sort | He Xiaolu |
| collection | DOAJ |
| description | The hybrid electric vehicles are the mature product that transits from conventional vehicles to electric vehicles and have a great development prospect. The typical transmission structure of series hybrid electric vehicles,parallel hybrid electric vehicles and series- parallel hybrid electric vehicles is briefly introduced.Then,relevant control strategies and their advantages and disadvantages are deeply discussed. Further,based on the conclusion and analysis of the existing hybrid vehicle control strategies,the optimization status of various control strategies respectively,such as regenerative braking optimization,fuzzy logic optimization,power system parameter optimization and dynamic coordination optimization are significantly described. Lastly,the development trend of control strategies for hybrid electric vehicles in the future is pointed out. |
| format | Article |
| id | doaj-art-98ae7e721c384229b1993183ebf5c426 |
| institution | Kabale University |
| issn | 1004-2539 |
| language | zho |
| publishDate | 2017-01-01 |
| publisher | Editorial Office of Journal of Mechanical Transmission |
| record_format | Article |
| series | Jixie chuandong |
| spelling | doaj-art-98ae7e721c384229b1993183ebf5c4262025-01-10T14:39:04ZzhoEditorial Office of Journal of Mechanical TransmissionJixie chuandong1004-25392017-01-014119620029928226Research Status of Control Strategy for Hybrid Electric VehicleHe XiaoluBao JiushengYin YanMa ChiThe hybrid electric vehicles are the mature product that transits from conventional vehicles to electric vehicles and have a great development prospect. The typical transmission structure of series hybrid electric vehicles,parallel hybrid electric vehicles and series- parallel hybrid electric vehicles is briefly introduced.Then,relevant control strategies and their advantages and disadvantages are deeply discussed. Further,based on the conclusion and analysis of the existing hybrid vehicle control strategies,the optimization status of various control strategies respectively,such as regenerative braking optimization,fuzzy logic optimization,power system parameter optimization and dynamic coordination optimization are significantly described. Lastly,the development trend of control strategies for hybrid electric vehicles in the future is pointed out.http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2017.01.042Hybrid electricControl strategy optimizationFuzzy logicAlgorithm |
| spellingShingle | He Xiaolu Bao Jiusheng Yin Yan Ma Chi Research Status of Control Strategy for Hybrid Electric Vehicle Jixie chuandong Hybrid electric Control strategy optimization Fuzzy logic Algorithm |
| title | Research Status of Control Strategy for Hybrid Electric Vehicle |
| title_full | Research Status of Control Strategy for Hybrid Electric Vehicle |
| title_fullStr | Research Status of Control Strategy for Hybrid Electric Vehicle |
| title_full_unstemmed | Research Status of Control Strategy for Hybrid Electric Vehicle |
| title_short | Research Status of Control Strategy for Hybrid Electric Vehicle |
| title_sort | research status of control strategy for hybrid electric vehicle |
| topic | Hybrid electric Control strategy optimization Fuzzy logic Algorithm |
| url | http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2017.01.042 |
| work_keys_str_mv | AT hexiaolu researchstatusofcontrolstrategyforhybridelectricvehicle AT baojiusheng researchstatusofcontrolstrategyforhybridelectricvehicle AT yinyan researchstatusofcontrolstrategyforhybridelectricvehicle AT machi researchstatusofcontrolstrategyforhybridelectricvehicle |