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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2021
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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) |
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V-belt continuously variable transmission Model predictive control Drive intention Slip mode Transmission efficiency Ocean engineering TC1501-1800 Mechanical engineering and machinery TJ1-1570 |
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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 |
_version_ |
1718443567289991168 |