Study on Control Optimization Strategy of Continuously Variable Transmission Based on Model Predictive Control

doi:10.3901/JME.2019.10.158

Abstract

Abstract: The clamping force of continuously variable transmission is an important factor affecting the transmission efficiency of Continuously variable transmission(CVT) system and fuel economy, the optimal clamping force control range is difficult to be obtained accurately and reasonably by the traditional control strategy, a control strategy based on model predictive control is presented. According to the kinematics principle of transmission system, the CVT dynamic equation and state space expression are built, and the MPC controller of CVT is designed. The specific constraint of clamping force is considered, and the problem of unconstrained optimization is transformed into a quadratic programming problem, the optimal clamping force input is got through the use of predictive controller to solve optimal control sequence of clamping force at each moment. The disturb torque is applied to output side of CVT system, test results show that system has good robustness. Moreover, in order to verify the feasibility of clamping force control strategy, co-simulation with Simulink and AMEsim, real vehicle is tested in emergency acceleration, emergency braking and integrated conditions. Results show that compared with the traditional clamping force control strategy, the transmission efficiency of the control system based on MPC is improved by 8.72%-9.23%, the fuel consumption is reduced by 5.61%, and a new method is proposed to solve the problem of the control of clamping force of CVT.

Key words: automotive engineering, clamping force, continuously variable transmission, model predictive control

CLC Number:

U463

HAN Ling, LIU Hongxiang, WANG Jinwu, LIU Chang. Study on Control Optimization Strategy of Continuously Variable Transmission Based on Model Predictive Control[J]. Journal of Mechanical Engineering, 2019, 55(10): 158-167.

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