Optimal Control Strategy of Two Speed Automatic Mechanical Transmission in Shift Process

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  • 1. National Engineering Laboratory of Automotive Electronic Control Technology, Shanghai Jiao Tong University, Shanghai 200240, China; 2. Shandong Shifeng (Group) Company Limited, Gaotang 252800, Shandong, China

Abstract

In order to validate the shift strategy of 2-speed automatic mechanical transmissions (2AMT) for electric vehicles, the powertrain test rig including high performance electric dynamometer is built up and experiments under different conditions are made. Then, a compound optimal control strategy is presented to improve the shift performance. In other words, a linear quadratic regulator is employed to actively compensate the drive motor torque and a nonlinear time-optimal control is used to track the actuator rotor position. The experiment results show that this optimal control strategy can not only reduce the driveline vibration, but also cut down period of the shift time. The coupled dynamic model of the driveline and shift actuator is precise enough for the analysis of shift process, and the compound optimal control strategy is effective to improve the shift quality.

Cite this article

CHAI Benben1,WU Shaofang1,ZHANG Jianwu1,LIN Lianhua2,XU Haigang2 . Optimal Control Strategy of Two Speed Automatic Mechanical Transmission in Shift Process[J]. Journal of Shanghai Jiaotong University, 2018 , 52(6) : 658 -665 . DOI: 10.16183/j.cnki.jsjtu.2018.06.005

References

[1]RUAN J, WALKER P, ZHANG N. A comparative study energy consumption and costs of battery electric vehicle transmissions[J]. Applied Energy, 2016, 165: 119-134. [2]NICOLA F D, SORNIOTTI A, HOLDSTOCK T, et al. Optimization of a multiple-speed transmission for downsizing the motor of a fully electric vehicle[J]. SAE International Journal of Alternative Powertrains, 2012, 1(1): 134-143. [3]MOROZOV A, HUMPHRIES K, ZOU T, et al. Design and optimization of a drivetrain with two-speed transmission for electric delivery step van[C]∥Electric Vehicle Conference (IEVC), 2014 IEEE International. Florence, Italy: IEEE, 2014: 1-8. [4]GAO B, LIANG Q, XIANG Y, et al. Gear ratio optimization and shift control of 2-speed I-AMT in electric vehicle[J]. Mechanical Systems and Signal Processing, 2015, 50/51: 615-631. [5]HU J, SUN C, XIAO J, et al. A torque compensation strategy in two-speed automated mechanical transmission shift process for pure electric vehicles[J]. Advances in Mechanical Engineering, 2015, 7(11): 441-444. [6]傅洪, 田光宇, 陈红旭, 等. 电机-变速器集成驱动系统扭转振动控制的研究[J]. 汽车工程, 2010, 32(7): 596-600. FU Hong, TIAN Guangyu, CHEN Hongxu, et al. A study on the torsional vibration control of motor transmission integrated drive system[J]. Automotive Engineering, 2010, 32(7): 596-600. [7]TSENG C Y, YU C H. Advanced shifting control of synchronizer mechanisms for clutch-less automatic manual transmission in an electric vehicle[J]. Mechanism and Machine Theory, 2015, 84: 37-56. [8]YU C H, TSENG C Y. Research on gear-change control technology for the clutch-less automatic-manual transmission of an electric vehicle[J]. Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering, 2013, 227(10): 1446-1458. [9]LIN S, CHANG S, LI B. Improving the gearshifts events in automated manual transmission by using an electromagnetic actuator[J]. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 2015, 229(9): 1548-1561. [10]LU T, LI H, ZHANG J, et al. Supervisor control strategy of synchronizer for wet DCT based on online estimation of clutch drag torque[J]. Mechanical Systems and Signal Processing, 2016, 66/67: 840-861. [11]程潇骁. 电机变速器耦合系统换挡过程动力学建模与控制策略研究[D]. 北京: 清华大学, 2014. CHENG Xiaoxiao. Dynamics modeling and control strategy for the shifting process of coupled motor-transmission system[D]. Beijing: Tsinghua University, 2014. [12]孙少华. 纯电动客车机械式自动变速器换挡综合控制技术研究[D].吉林: 吉林大学, 2014. SUN Shaohua. Research on shift integrated control technology for automated manual transmission in pure electric bus[D]. Jilin: Jilin University, 2014.
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