Zhang, Jiangyan (Dalian Minzu University), Song, Kang (Tianjin University), Shen, Tielong (Sophia University), Guo, Fan (Tianjin university)

MPC-Based Cruising Control Strategy for Heavy-Duty Truck with Explicit Slope Information

Scheduled for presentation during the Regular Session "Control for cooperative driving and adaptive cruise control" (MoB2), Monday, June 16, 2025, 16:50−17:10, Jos

AAC 2025 11th IFAC International Symposium on Advances in Automotive Control, June 15-18, 2025, Eindhoven, Netherlands

This information is tentative and subject to change. Compiled on May 31, 2025

Abstract

Development of vehicle to everything (V2X) technologies gives sufficient chances to update the control schemes for the powertrain system. Climbing performance is significant to heavy-duty trucks during cruising operations. Combining with a properly designed feedforward-feedback control law, a novel model predictive control (MPC) problem formulation is proposed by involving an error speed dynamics characterized in the space domain. Simulation validations are conducted on a medium-fidelity physics-based simulation model.