Title: Cooperative multi-objective control of heterogeneous vehicle platoon

Biography:

Yugong Luo received the B. Tech and M.S. degrees from Chongqing University, Chongqing, China, in 1996 and 1999, respectively, and the Ph.D. degree from Tsinghua University, Beijing, China, in 2003. He is currently an Professor at the Department of Automotive Engineering, Tsinghua University. From 2013 to 2014, he worked at University of Michigan as a visiting scholar. He has authored more than 150 journal papers and held 98 patent applications. His research interests include vehicle dynamics and control, especially for electric vehicles and intelligent & connected vehicles. He proposed the intelligent energy saving technology for electric vehicles and vehicle platoon, which was widely used in hybrid electric buses and pure electric buses in China.

Abstract

Platooning research has great potential for solving problems of road traffic accidents, energy consumption and low traffic efficiency. However, previous work on platoon control mostly based on homogeneous of a single target, which can not achieve a good performance in actual scenario. We proposed a control architecture that focus on multi-objective control and a distributed nonlinear model predictive control method(DNMPC). According to the road environmental information, truck following, safety, comfort and energy saving characteristics, designs controller algorithm for leading truck and the following trucks to achieve the multi-target control of heterogeneous truck platoon. In order to verify the performance of the control method, a simulation platform is built which based on five trucks with different dynamic characteristics. Compared with the PID cruise control of the heterogeneous platoon, the simulation results of the proposed approach finally show that can effectively improve the energy consumption economy by more than 5.3% and reduce tracking error with driving comfort.