Kang, Mingxin (Northeastern University), Wu, Yuhu (Dalian University of Technology)

Traffic Light-Based Optimization Strategy for Automotive Fuel Economy Performance

Scheduled for presentation during the Regular session "Vehicle control technology" (MoAT2), Monday, August 23, 2021, 14:20−14:40, Room T2

6th IFAC Conference on Engine and Powertrain Control, Simulation and Modeling, August 23-25, 2021, Tokyo, Japan

This information is tentative and subject to change. Compiled on April 18, 2024

Abstract

The booming development of vehicle-to-everything (V2X) technology brings new opportunities and challenges for the traditional automotive industry. The information from the driving scenarios and ambient events such as traffic light conditions ahead becomes accessible and then it can be utilized in the development of the automotive control strategy. This discussion paper investigates an optimization strategy for road vehicles when the traffic light information is prior known, in order to obtain a satisfactory fuel economy performance and lower traveling time loss. Optimal control problem considering the traffic light status is formulated and solved by applying dynamic programming (DP) algorithm. Preliminary simulation are conducted to demonstrate the potential ability in improvement of the fuel economy performance.