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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Autores principales: Ling Han, Hui Zhang, Ruoyu Fang, Hongxiang Liu
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Lenguaje:EN
Publicado: SpringerOpen 2021
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spelling oai:doaj.org-article:a6efb1542cbd42df8933130f0ab7a16c2021-11-07T12:03:24ZOptimization Transmission Efficiency with Driver Intention for Automotive Continuously Variable Transmission under Slip Mode10.1186/s10033-021-00620-01000-93452192-8258https://doaj.org/article/a6efb1542cbd42df8933130f0ab7a16c2021-11-01T00:00:00Zhttps://doi.org/10.1186/s10033-021-00620-0https://doaj.org/toc/1000-9345https://doaj.org/toc/2192-8258Abstract 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.Ling HanHui ZhangRuoyu FangHongxiang LiuSpringerOpenarticleV-belt continuously variable transmissionModel predictive controlDrive intentionSlip modeTransmission efficiencyOcean engineeringTC1501-1800Mechanical engineering and machineryTJ1-1570ENChinese Journal of Mechanical Engineering, Vol 34, Iss 1, Pp 1-17 (2021)
institution DOAJ
collection DOAJ
language EN
topic V-belt continuously variable transmission
Model predictive control
Drive intention
Slip mode
Transmission efficiency
Ocean engineering
TC1501-1800
Mechanical engineering and machinery
TJ1-1570
spellingShingle V-belt continuously variable transmission
Model predictive control
Drive intention
Slip mode
Transmission efficiency
Ocean engineering
TC1501-1800
Mechanical engineering and machinery
TJ1-1570
Ling Han
Hui Zhang
Ruoyu Fang
Hongxiang Liu
Optimization Transmission Efficiency with Driver Intention for Automotive Continuously Variable Transmission under Slip Mode
description 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.
format article
author Ling Han
Hui Zhang
Ruoyu Fang
Hongxiang Liu
author_facet Ling Han
Hui Zhang
Ruoyu Fang
Hongxiang Liu
author_sort Ling Han
title Optimization Transmission Efficiency with Driver Intention for Automotive Continuously Variable Transmission under Slip Mode
title_short Optimization Transmission Efficiency with Driver Intention for Automotive Continuously Variable Transmission under Slip Mode
title_full Optimization Transmission Efficiency with Driver Intention for Automotive Continuously Variable Transmission under Slip Mode
title_fullStr Optimization Transmission Efficiency with Driver Intention for Automotive Continuously Variable Transmission under Slip Mode
title_full_unstemmed Optimization Transmission Efficiency with Driver Intention for Automotive Continuously Variable Transmission under Slip Mode
title_sort optimization transmission efficiency with driver intention for automotive continuously variable transmission under slip mode
publisher SpringerOpen
publishDate 2021
url https://doaj.org/article/a6efb1542cbd42df8933130f0ab7a16c
work_keys_str_mv AT linghan optimizationtransmissionefficiencywithdriverintentionforautomotivecontinuouslyvariabletransmissionunderslipmode
AT huizhang optimizationtransmissionefficiencywithdriverintentionforautomotivecontinuouslyvariabletransmissionunderslipmode
AT ruoyufang optimizationtransmissionefficiencywithdriverintentionforautomotivecontinuouslyvariabletransmissionunderslipmode
AT hongxiangliu optimizationtransmissionefficiencywithdriverintentionforautomotivecontinuouslyvariabletransmissionunderslipmode
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