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A Trajectory Planning-Based Energy-Optimal Method for an EMVT System

Jiayu Lu1, Siqin Chang1,*

1 School of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing, 210094, China.

* Corresponding Author: Siqin Chang. Email: .

Computer Modeling in Engineering & Sciences 2019, 118(1), 91-109.


In this paper, a trajectory planning-based energy-optimal method is proposed to reduce the energy consumption of novel electromagnetic valve train (EMVT). Firstly, an EMVT optimization model based on state equation was established. Then, the Gauss pseudospectral method (GPM) was used to plan energy-optimal trajectory. And a robust feedforward-feedback tracking controller based on inverse system method is proposed to track the energy-optimal trajectory. In order to verify the effectiveness of the energy-optimal trajectory, a test bench was established. Finally, co-simulations based on MATLAB Simulink and AVL Boost were carried out to illustrate the effect of energy-optimal trajectories on engine performance. Experimental results show that the robust tracking controller can achieve good position tracking performance. And these energy-optimal trajectories can save up to 40% of the energy consumption compared with the conventional camshaft valve trajectories.


Cite This Article

Lu, J., Chang, S. (2019). A Trajectory Planning-Based Energy-Optimal Method for an EMVT System. CMES-Computer Modeling in Engineering & Sciences, 118(1), 91–109.

This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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