Clutch Online Adaptive Engagement Control of ISG Type Hybrid Electric Vehicle
The clutch engagement control is a main factor which influences the power interruption time and shock during mode transformation of hybrid electric vehicles. The key is how to be adaptive to the abrasion in the course of usage and change of working condition. For this purpose,an online adaptive opti...
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| Format: | Article |
| Language: | zho |
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Editorial Office of Journal of Mechanical Transmission
2018-01-01
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| Series: | Jixie chuandong |
| Subjects: | |
| Online Access: | http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2018.11.003 |
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| _version_ | 1841547516384903168 |
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| author | Yan Ting Yang Lin Chen Liang |
| author_facet | Yan Ting Yang Lin Chen Liang |
| author_sort | Yan Ting |
| collection | DOAJ |
| description | The clutch engagement control is a main factor which influences the power interruption time and shock during mode transformation of hybrid electric vehicles. The key is how to be adaptive to the abrasion in the course of usage and change of working condition. For this purpose,an online adaptive optimal control method based on data-driven and torque estimation is presented. The clutch model is updated online by Artificial Neural Network and clutch torque is estimated by Kalman Filtering in real time to solve clutch parametric dynamic uncertainty. Then an object function is formulated to reduce impact and shorten engagement time integrally,combined with a combination optimization algorithm to obtain the optimal outlet valve duty ratio sequence and optimal engagement time. Meanwhile,clutch speed synchronization is accomplished by engine target speed trajectory tracking control. Test results show that the proposed method can be applied on-board in real time and can restrain impact and decrease engagement time effectively in comparison to other control methods. |
| format | Article |
| id | doaj-art-b5247cde2ae640268f48ead6ca8944f8 |
| institution | Kabale University |
| issn | 1004-2539 |
| language | zho |
| publishDate | 2018-01-01 |
| publisher | Editorial Office of Journal of Mechanical Transmission |
| record_format | Article |
| series | Jixie chuandong |
| spelling | doaj-art-b5247cde2ae640268f48ead6ca8944f82025-01-10T14:40:04ZzhoEditorial Office of Journal of Mechanical TransmissionJixie chuandong1004-25392018-01-0142132129939696Clutch Online Adaptive Engagement Control of ISG Type Hybrid Electric VehicleYan TingYang LinChen LiangThe clutch engagement control is a main factor which influences the power interruption time and shock during mode transformation of hybrid electric vehicles. The key is how to be adaptive to the abrasion in the course of usage and change of working condition. For this purpose,an online adaptive optimal control method based on data-driven and torque estimation is presented. The clutch model is updated online by Artificial Neural Network and clutch torque is estimated by Kalman Filtering in real time to solve clutch parametric dynamic uncertainty. Then an object function is formulated to reduce impact and shorten engagement time integrally,combined with a combination optimization algorithm to obtain the optimal outlet valve duty ratio sequence and optimal engagement time. Meanwhile,clutch speed synchronization is accomplished by engine target speed trajectory tracking control. Test results show that the proposed method can be applied on-board in real time and can restrain impact and decrease engagement time effectively in comparison to other control methods.http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2018.11.003ClutchHybrid electric vehicleImpact degreeData-drivenAdaptive control |
| spellingShingle | Yan Ting Yang Lin Chen Liang Clutch Online Adaptive Engagement Control of ISG Type Hybrid Electric Vehicle Jixie chuandong Clutch Hybrid electric vehicle Impact degree Data-driven Adaptive control |
| title | Clutch Online Adaptive Engagement Control of ISG Type Hybrid Electric Vehicle |
| title_full | Clutch Online Adaptive Engagement Control of ISG Type Hybrid Electric Vehicle |
| title_fullStr | Clutch Online Adaptive Engagement Control of ISG Type Hybrid Electric Vehicle |
| title_full_unstemmed | Clutch Online Adaptive Engagement Control of ISG Type Hybrid Electric Vehicle |
| title_short | Clutch Online Adaptive Engagement Control of ISG Type Hybrid Electric Vehicle |
| title_sort | clutch online adaptive engagement control of isg type hybrid electric vehicle |
| topic | Clutch Hybrid electric vehicle Impact degree Data-driven Adaptive control |
| url | http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2018.11.003 |
| work_keys_str_mv | AT yanting clutchonlineadaptiveengagementcontrolofisgtypehybridelectricvehicle AT yanglin clutchonlineadaptiveengagementcontrolofisgtypehybridelectricvehicle AT chenliang clutchonlineadaptiveengagementcontrolofisgtypehybridelectricvehicle |