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Automotive Engineering ›› 2025, Vol. 47 ›› Issue (3): 418-429.doi: 10.19562/j.chinasae.qcgc.2025.03.004

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Distributed MPC Multi-objective Optimization Control for Commercial Vehicle Platoon Under Time Delay Conditions

Ruixin Yang1,Yingfeng Cai1(),Yubo Lian2,Long Chen1,Xiaoqiang Sun1   

  1. 1.Automotive Engineering Research Institute,Jiangsu University,Zhenjiang 212013
    2.Automotive Engineering Research Institute,BYD Automotive Industry Co. ,Ltd. ,Shenzhen 518118
  • Received:2024-07-18 Revised:2024-08-30 Online:2025-03-25 Published:2025-03-21
  • Contact: Yingfeng Cai E-mail:caicaixiao0304@126.com

Abstract:

Commercial platoon cruise control is an effective method to improve transportation efficiency, but existing research is mostly based on homogeneous platoon control with one single vehicle following optimization objective, while using a simple architecture to cope with communication time delay, which is not universally applicable in practical scenarios. Therefore, based on heterogeneous electric commercial vehicle fleets, in this paper a distributed model predictive control strategy is proposed to achieve multi-objective control that takes into account of requirements of vehicle following, economy, and comfort. Delay buffers and compensators are designed for delay prediction models, effectively solving the problems of excessive tracking distance error caused by non-ideal communication conditions. Matlab/Simulink simulation shows that the proposed control algorithm can achieve multi-objective optimization control of heterogeneous commercial vehicle fleets. Compared with traditional model predictive control (MPC), it significantly reduces the tracking distance error, energy consumption, and jerk, effectively improving performance of the platoon in terms of tracking, economy and comfort and significantly reducing the adverse effect of time delay.

Key words: heterogeneous commercial vehicle platoon, distributed model predictive control, multi-objective optimization, communication delay