Optimal control methods in intelligent vehicles

Abstract

In recent years, intelligent vehicles (IVs) have become a hot spot in automotive industry. Key technologies of IVs range over the field of sensing, decision-making and control. Among them, control technology provides an enabling support for improving autonomous driving safety, reducing energy consumption and carbon emission. This paper focuses on some aspects of applying advanced control methodologies in IVs through several selected examples including eco-driving and MPC-based driver modelling.

Keywords:

• Control technology
• intelligent vehicles
• eco-driving
• MPC-based driver modelling

Notes

No potential conflict of interest was reported by the authors.

Additional information

Funding

This work was supported by the National Nature Science Foundation of China [grant number 61520106008], [grant number 61522307], [grant number 61374046]; and Graduate Innovation Fund of Jilin University [grant number 2016188].