Maohan Xue
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Maohan Xue has a total of 5 co-authors. Here are the top co-authors by number of shared publications:
- Guanzheng Wen
State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun 130022, China
1 shared publication - Jie Wang
State Key Lab Automot Simulat & Control, Jilin University, Changchun 130025, China
1 shared publication - Weidong Liu
National Key Laboratory of Automotive Chassis Integration and Bionics, Jilin University, Changchun 130022, China
1 shared publication - Xiangyu Liu
State Key Lab Automot Simulat & Control, Jilin University, Changchun 130025, China
1 shared publication - Xiaohu Geng
State Key Lab Automot Simulat & Control, Jilin University, Changchun 130025, China
1 shared publication
Latest Publications
- Open Access
Optimal Torque Control of the Launching Process with AMT Clutch for Heavy-Duty Vehicles
When launching a heavy-duty vehicle, torque and position control during automatic clutch engagement is critical, and the driver’s intention to launch and changes in the vehicle’s launching resistance make clutch control more complex. This paper analyses the automatic engagement process of automated mechanical transmission (AMT) clutches and proposes an optimal control of the clutch torque for launching heavy-duty vehicles. Firstly, a fuzzy neural network (FNN)-based vehicle launching states recognition (LSR) system is designed for distinguishing the driver’s launching intention and the vehicle’s launching equivalent moment of resistance. Secondly, jerk, friction work, and launching reserve power are taken as the performance indexes for clutch torque optimization, the weight coefficients of each performance index are adjusted according to the LSR results, and the optimal clutch torque is solved by using the minimum value principle based on the shooting method. Finally, simulations and tests are conducted to validate the strategy of optimizing clutch torque, and the impact of torque optimization on the position change during the engagement process is analyzed. The results indicate that under different driver’s intentions, vehicle masses, and road gradient conditions, the jerk, friction work, and slipping time of heavy vehicles during the launching process are improved by applying the optimization strategy.
Open AccessOptimal Torque Control of the Launching Process with AMT Clutch for Heavy-Duty Vehicles
When launching a heavy-duty vehicle, torque and position control during automatic clutch engagement is critical, and the driver’s intention to launch and changes in the vehicle’s launching resistance make clutch control more complex. This paper analyses the automatic engagement process of automated mechanical transmission (AMT) clutches and proposes an optimal control of the clutch torque for launching heavy-duty vehicles. Firstly, a fuzzy neural network (FNN)-based vehicle launching states recognition (LSR) system is designed for distinguishing the driver’s launching intention and the vehicle’s launching equivalent moment of resistance. Secondly, jerk, friction work, and launching reserve power are taken as the performance indexes for clutch torque optimization, the weight coefficients of each performance index are adjusted according to the LSR results, and the optimal clutch torque is solved by using the minimum value principle based on the shooting method. Finally, simulations and tests are conducted to validate the strategy of optimizing clutch torque, and the impact of torque optimization on the position change during the engagement process is analyzed. The results indicate that under different driver’s intentions, vehicle masses, and road gradient conditions, the jerk, friction work, and slipping time of heavy vehicles during the launching process are improved by applying the optimization strategy.