Optimization Transmission Efficiency with Driver Intention for Automotive Continuously Variable Transmission under Slip Mode
Abstract This study proposes and experimentally validates an optimal integrated system to control the automotive continuously variable transmission (CVT) by Model Predictive Control (MPC) to achieve its expected transmission efficiency range. The control system framework consists of top and bottom l...
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Gespeichert in:
| Autor*in: |
Han, Ling [verfasserIn] Zhang, Hui [verfasserIn] Fang, Ruoyu [verfasserIn] Liu, Hongxiang [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2021 |
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| Schlagwörter: |
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| Anmerkung: |
© The Author(s) 2021 |
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| Übergeordnetes Werk: |
Enthalten in: Chinese Journal of Mechanical Engineering - Chinese Mechanical Engineering Society, 2012, 34(2021), 1 vom: 06. Nov. |
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| Übergeordnetes Werk: |
volume:34 ; year:2021 ; number:1 ; day:06 ; month:11 |
| Links: |
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| DOI / URN: |
10.1186/s10033-021-00620-0 |
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SPR045500967 |
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| 520 | |a Abstract This study proposes and experimentally validates an optimal integrated system to control the automotive continuously variable transmission (CVT) by Model Predictive Control (MPC) to achieve its expected transmission efficiency range. The control system framework consists of top and bottom layers. In the top layer, a driving intention recognition system is designed on the basis of fuzzy control strategy to determine the relationship between the driver intention and CVT target ratio at the corresponding time. In the bottom layer, a new slip state dynamic equation is obtained considering slip characteristics and its related constraints, and a clamping force bench is established. Innovatively, a joint controller based on model predictive control (MPC) is designed taking internal combustion engine torque and slip between the metal belt and pulley as optimization dual targets. A cycle is attained by solving the optimization target to achieve optimum engine torque and the input slip in real-time. Moreover, the new controller provides good robustness. Finally, performance is tested by actual CVT vehicles. Results show that compared with traditional control, the proposed control improves vehicle transmission efficiency by approximately 9.12%–9.35% with high accuracy. | ||
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10.1186/s10033-021-00620-0 doi (DE-627)SPR045500967 (SPR)s10033-021-00620-0-e DE-627 ger DE-627 rakwb eng Han, Ling verfasserin aut Optimization Transmission Efficiency with Driver Intention for Automotive Continuously Variable Transmission under Slip Mode 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2021 Abstract This study proposes and experimentally validates an optimal integrated system to control the automotive continuously variable transmission (CVT) by Model Predictive Control (MPC) to achieve its expected transmission efficiency range. The control system framework consists of top and bottom layers. In the top layer, a driving intention recognition system is designed on the basis of fuzzy control strategy to determine the relationship between the driver intention and CVT target ratio at the corresponding time. In the bottom layer, a new slip state dynamic equation is obtained considering slip characteristics and its related constraints, and a clamping force bench is established. Innovatively, a joint controller based on model predictive control (MPC) is designed taking internal combustion engine torque and slip between the metal belt and pulley as optimization dual targets. A cycle is attained by solving the optimization target to achieve optimum engine torque and the input slip in real-time. Moreover, the new controller provides good robustness. Finally, performance is tested by actual CVT vehicles. Results show that compared with traditional control, the proposed control improves vehicle transmission efficiency by approximately 9.12%–9.35% with high accuracy. V-belt continuously variable transmission (dpeaa)DE-He213 Model predictive control (dpeaa)DE-He213 Drive intention (dpeaa)DE-He213 Slip mode (dpeaa)DE-He213 Transmission efficiency (dpeaa)DE-He213 Zhang, Hui verfasserin aut Fang, Ruoyu verfasserin aut Liu, Hongxiang verfasserin aut Enthalten in Chinese Journal of Mechanical Engineering Chinese Mechanical Engineering Society, 2012 34(2021), 1 vom: 06. Nov. (DE-627)SPR008124000 nnns volume:34 year:2021 number:1 day:06 month:11 https://dx.doi.org/10.1186/s10033-021-00620-0 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER AR 34 2021 1 06 11 |
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10.1186/s10033-021-00620-0 doi (DE-627)SPR045500967 (SPR)s10033-021-00620-0-e DE-627 ger DE-627 rakwb eng Han, Ling verfasserin aut Optimization Transmission Efficiency with Driver Intention for Automotive Continuously Variable Transmission under Slip Mode 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2021 Abstract This study proposes and experimentally validates an optimal integrated system to control the automotive continuously variable transmission (CVT) by Model Predictive Control (MPC) to achieve its expected transmission efficiency range. The control system framework consists of top and bottom layers. In the top layer, a driving intention recognition system is designed on the basis of fuzzy control strategy to determine the relationship between the driver intention and CVT target ratio at the corresponding time. In the bottom layer, a new slip state dynamic equation is obtained considering slip characteristics and its related constraints, and a clamping force bench is established. Innovatively, a joint controller based on model predictive control (MPC) is designed taking internal combustion engine torque and slip between the metal belt and pulley as optimization dual targets. A cycle is attained by solving the optimization target to achieve optimum engine torque and the input slip in real-time. Moreover, the new controller provides good robustness. Finally, performance is tested by actual CVT vehicles. Results show that compared with traditional control, the proposed control improves vehicle transmission efficiency by approximately 9.12%–9.35% with high accuracy. V-belt continuously variable transmission (dpeaa)DE-He213 Model predictive control (dpeaa)DE-He213 Drive intention (dpeaa)DE-He213 Slip mode (dpeaa)DE-He213 Transmission efficiency (dpeaa)DE-He213 Zhang, Hui verfasserin aut Fang, Ruoyu verfasserin aut Liu, Hongxiang verfasserin aut Enthalten in Chinese Journal of Mechanical Engineering Chinese Mechanical Engineering Society, 2012 34(2021), 1 vom: 06. Nov. (DE-627)SPR008124000 nnns volume:34 year:2021 number:1 day:06 month:11 https://dx.doi.org/10.1186/s10033-021-00620-0 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER AR 34 2021 1 06 11 |
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10.1186/s10033-021-00620-0 doi (DE-627)SPR045500967 (SPR)s10033-021-00620-0-e DE-627 ger DE-627 rakwb eng Han, Ling verfasserin aut Optimization Transmission Efficiency with Driver Intention for Automotive Continuously Variable Transmission under Slip Mode 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2021 Abstract This study proposes and experimentally validates an optimal integrated system to control the automotive continuously variable transmission (CVT) by Model Predictive Control (MPC) to achieve its expected transmission efficiency range. The control system framework consists of top and bottom layers. In the top layer, a driving intention recognition system is designed on the basis of fuzzy control strategy to determine the relationship between the driver intention and CVT target ratio at the corresponding time. In the bottom layer, a new slip state dynamic equation is obtained considering slip characteristics and its related constraints, and a clamping force bench is established. Innovatively, a joint controller based on model predictive control (MPC) is designed taking internal combustion engine torque and slip between the metal belt and pulley as optimization dual targets. A cycle is attained by solving the optimization target to achieve optimum engine torque and the input slip in real-time. Moreover, the new controller provides good robustness. Finally, performance is tested by actual CVT vehicles. Results show that compared with traditional control, the proposed control improves vehicle transmission efficiency by approximately 9.12%–9.35% with high accuracy. V-belt continuously variable transmission (dpeaa)DE-He213 Model predictive control (dpeaa)DE-He213 Drive intention (dpeaa)DE-He213 Slip mode (dpeaa)DE-He213 Transmission efficiency (dpeaa)DE-He213 Zhang, Hui verfasserin aut Fang, Ruoyu verfasserin aut Liu, Hongxiang verfasserin aut Enthalten in Chinese Journal of Mechanical Engineering Chinese Mechanical Engineering Society, 2012 34(2021), 1 vom: 06. Nov. (DE-627)SPR008124000 nnns volume:34 year:2021 number:1 day:06 month:11 https://dx.doi.org/10.1186/s10033-021-00620-0 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER AR 34 2021 1 06 11 |
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10.1186/s10033-021-00620-0 doi (DE-627)SPR045500967 (SPR)s10033-021-00620-0-e DE-627 ger DE-627 rakwb eng Han, Ling verfasserin aut Optimization Transmission Efficiency with Driver Intention for Automotive Continuously Variable Transmission under Slip Mode 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2021 Abstract This study proposes and experimentally validates an optimal integrated system to control the automotive continuously variable transmission (CVT) by Model Predictive Control (MPC) to achieve its expected transmission efficiency range. The control system framework consists of top and bottom layers. In the top layer, a driving intention recognition system is designed on the basis of fuzzy control strategy to determine the relationship between the driver intention and CVT target ratio at the corresponding time. In the bottom layer, a new slip state dynamic equation is obtained considering slip characteristics and its related constraints, and a clamping force bench is established. Innovatively, a joint controller based on model predictive control (MPC) is designed taking internal combustion engine torque and slip between the metal belt and pulley as optimization dual targets. A cycle is attained by solving the optimization target to achieve optimum engine torque and the input slip in real-time. Moreover, the new controller provides good robustness. Finally, performance is tested by actual CVT vehicles. Results show that compared with traditional control, the proposed control improves vehicle transmission efficiency by approximately 9.12%–9.35% with high accuracy. V-belt continuously variable transmission (dpeaa)DE-He213 Model predictive control (dpeaa)DE-He213 Drive intention (dpeaa)DE-He213 Slip mode (dpeaa)DE-He213 Transmission efficiency (dpeaa)DE-He213 Zhang, Hui verfasserin aut Fang, Ruoyu verfasserin aut Liu, Hongxiang verfasserin aut Enthalten in Chinese Journal of Mechanical Engineering Chinese Mechanical Engineering Society, 2012 34(2021), 1 vom: 06. Nov. (DE-627)SPR008124000 nnns volume:34 year:2021 number:1 day:06 month:11 https://dx.doi.org/10.1186/s10033-021-00620-0 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER AR 34 2021 1 06 11 |
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10.1186/s10033-021-00620-0 doi (DE-627)SPR045500967 (SPR)s10033-021-00620-0-e DE-627 ger DE-627 rakwb eng Han, Ling verfasserin aut Optimization Transmission Efficiency with Driver Intention for Automotive Continuously Variable Transmission under Slip Mode 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2021 Abstract This study proposes and experimentally validates an optimal integrated system to control the automotive continuously variable transmission (CVT) by Model Predictive Control (MPC) to achieve its expected transmission efficiency range. The control system framework consists of top and bottom layers. In the top layer, a driving intention recognition system is designed on the basis of fuzzy control strategy to determine the relationship between the driver intention and CVT target ratio at the corresponding time. In the bottom layer, a new slip state dynamic equation is obtained considering slip characteristics and its related constraints, and a clamping force bench is established. Innovatively, a joint controller based on model predictive control (MPC) is designed taking internal combustion engine torque and slip between the metal belt and pulley as optimization dual targets. A cycle is attained by solving the optimization target to achieve optimum engine torque and the input slip in real-time. Moreover, the new controller provides good robustness. Finally, performance is tested by actual CVT vehicles. Results show that compared with traditional control, the proposed control improves vehicle transmission efficiency by approximately 9.12%–9.35% with high accuracy. V-belt continuously variable transmission (dpeaa)DE-He213 Model predictive control (dpeaa)DE-He213 Drive intention (dpeaa)DE-He213 Slip mode (dpeaa)DE-He213 Transmission efficiency (dpeaa)DE-He213 Zhang, Hui verfasserin aut Fang, Ruoyu verfasserin aut Liu, Hongxiang verfasserin aut Enthalten in Chinese Journal of Mechanical Engineering Chinese Mechanical Engineering Society, 2012 34(2021), 1 vom: 06. Nov. (DE-627)SPR008124000 nnns volume:34 year:2021 number:1 day:06 month:11 https://dx.doi.org/10.1186/s10033-021-00620-0 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER AR 34 2021 1 06 11 |
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Optimization Transmission Efficiency with Driver Intention for Automotive Continuously Variable Transmission under Slip Mode |
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Abstract This study proposes and experimentally validates an optimal integrated system to control the automotive continuously variable transmission (CVT) by Model Predictive Control (MPC) to achieve its expected transmission efficiency range. The control system framework consists of top and bottom layers. In the top layer, a driving intention recognition system is designed on the basis of fuzzy control strategy to determine the relationship between the driver intention and CVT target ratio at the corresponding time. In the bottom layer, a new slip state dynamic equation is obtained considering slip characteristics and its related constraints, and a clamping force bench is established. Innovatively, a joint controller based on model predictive control (MPC) is designed taking internal combustion engine torque and slip between the metal belt and pulley as optimization dual targets. A cycle is attained by solving the optimization target to achieve optimum engine torque and the input slip in real-time. Moreover, the new controller provides good robustness. Finally, performance is tested by actual CVT vehicles. Results show that compared with traditional control, the proposed control improves vehicle transmission efficiency by approximately 9.12%–9.35% with high accuracy. © The Author(s) 2021 |
| abstractGer |
Abstract This study proposes and experimentally validates an optimal integrated system to control the automotive continuously variable transmission (CVT) by Model Predictive Control (MPC) to achieve its expected transmission efficiency range. The control system framework consists of top and bottom layers. In the top layer, a driving intention recognition system is designed on the basis of fuzzy control strategy to determine the relationship between the driver intention and CVT target ratio at the corresponding time. In the bottom layer, a new slip state dynamic equation is obtained considering slip characteristics and its related constraints, and a clamping force bench is established. Innovatively, a joint controller based on model predictive control (MPC) is designed taking internal combustion engine torque and slip between the metal belt and pulley as optimization dual targets. A cycle is attained by solving the optimization target to achieve optimum engine torque and the input slip in real-time. Moreover, the new controller provides good robustness. Finally, performance is tested by actual CVT vehicles. Results show that compared with traditional control, the proposed control improves vehicle transmission efficiency by approximately 9.12%–9.35% with high accuracy. © The Author(s) 2021 |
| abstract_unstemmed |
Abstract This study proposes and experimentally validates an optimal integrated system to control the automotive continuously variable transmission (CVT) by Model Predictive Control (MPC) to achieve its expected transmission efficiency range. The control system framework consists of top and bottom layers. In the top layer, a driving intention recognition system is designed on the basis of fuzzy control strategy to determine the relationship between the driver intention and CVT target ratio at the corresponding time. In the bottom layer, a new slip state dynamic equation is obtained considering slip characteristics and its related constraints, and a clamping force bench is established. Innovatively, a joint controller based on model predictive control (MPC) is designed taking internal combustion engine torque and slip between the metal belt and pulley as optimization dual targets. A cycle is attained by solving the optimization target to achieve optimum engine torque and the input slip in real-time. Moreover, the new controller provides good robustness. Finally, performance is tested by actual CVT vehicles. Results show that compared with traditional control, the proposed control improves vehicle transmission efficiency by approximately 9.12%–9.35% with high accuracy. © The Author(s) 2021 |
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Zhang, Hui Fang, Ruoyu Liu, Hongxiang |
| author2Str |
Zhang, Hui Fang, Ruoyu Liu, Hongxiang |
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SPR008124000 |
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c |
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| doi_str |
10.1186/s10033-021-00620-0 |
| up_date |
2024-07-03T16:24:22.732Z |
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<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000naa a22002652 4500</leader><controlfield tag="001">SPR045500967</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20211107064718.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">211107s2021 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1186/s10033-021-00620-0</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)SPR045500967</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(SPR)s10033-021-00620-0-e</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Han, Ling</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Optimization Transmission Efficiency with Driver Intention for Automotive Continuously Variable Transmission under Slip Mode</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2021</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">© The Author(s) 2021</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract This study proposes and experimentally validates an optimal integrated system to control the automotive continuously variable transmission (CVT) by Model Predictive Control (MPC) to achieve its expected transmission efficiency range. The control system framework consists of top and bottom layers. In the top layer, a driving intention recognition system is designed on the basis of fuzzy control strategy to determine the relationship between the driver intention and CVT target ratio at the corresponding time. In the bottom layer, a new slip state dynamic equation is obtained considering slip characteristics and its related constraints, and a clamping force bench is established. Innovatively, a joint controller based on model predictive control (MPC) is designed taking internal combustion engine torque and slip between the metal belt and pulley as optimization dual targets. A cycle is attained by solving the optimization target to achieve optimum engine torque and the input slip in real-time. Moreover, the new controller provides good robustness. Finally, performance is tested by actual CVT vehicles. 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