Abstract

Electromagnetic valve-train (EMVT) is a camless variable valve technology that can adjust the valve movement state independently, continuously and in real time. It can adjust the engine charge efficiency according to engine working conditions. In this paper, in order to achieve the optimal inflation efficiency, a new-style moving-coil electromagnetic linear actuator (ELA) was designed and genetic algorithm (GA) was used to plan the valve motion trajectory in common working conditions. Furthermore, an improved BP neural network algorithm was used to optimize the valve operation mode in all working conditions. The new valve operation scheme was applied to the modified intake system of engine, and its simulation and test analysis were carried out. Compared with the prototype, the results showed that the charging efficiency was greatly improved in the range of full rotating speed, especially in the range of middle and low rotating speed up to 95.6%.

Highlights

  • With the continued growth of the economy, the demand for automobiles has further increased, and the huge car ownership has brought severe energy and environmental problems

  • The results show that for the same power turbocharging can reduce the volume of gasoline engine by about 30%, and improve fuel economy by 8-10% while improving torque and acceleration performance

  • The camless drive variable valve-train technology with canceled throttle have attracted much attention. This technology can realize the full flexibility of valve lift, phase and duration according to different working conditions, and effectively improve the power performance and fuel economy of the engine [14]–[17]

Read more

Summary

Introduction

With the continued growth of the economy, the demand for automobiles has further increased, and the huge car ownership has brought severe energy and environmental problems. This technology can realize the full flexibility of valve lift, phase and duration according to different working conditions, and effectively improve the power performance and fuel economy of the engine [14]–[17].

Results
Conclusion
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call