Energy-Oriented Hybrid Cooperative Adaptive Cruise Control for Fuel Cell Electric Vehicle Platoons

被引:0
|
作者
Li, Shibo [1 ,2 ]
Chu, Liang [1 ,2 ]
Fu, Pengyu [3 ]
Pu, Shilin [4 ]
Wang, Yilin [1 ,2 ]
Li, Jinwei [1 ,2 ]
Guo, Zhiqi [1 ,2 ]
机构
[1] Jilin Univ, Coll Automot Engn, Changchun 130022, Peoples R China
[2] Jilin Univ, Natl Key Lab Automot Chassis Integrat & B, Changchun 130022, Peoples R China
[3] Loughborough Univ, Dept Aeronaut & Automot Engn, Loughborough LE11 3TU, England
[4] GAC R&D Ctr, Guangzhou 511434, Peoples R China
关键词
energy-oriented hybrid cooperative adaptive cruise control (eHCACC); fuel cell electric vehicle platoon; energy management strategy (EMS); MANAGEMENT STRATEGY; RESOURCE-ALLOCATION;
D O I
10.3390/s24155065
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
Given the complex powertrain of fuel cell electric vehicles (FCEVs) and diversified vehicle platooning synergy constraints, a control strategy that simultaneously considers inter-vehicle synergy control and energy economy is one of the key technologies to improve transportation efficiency and release the energy-saving potential of platooning vehicles. In this paper, an energy-oriented hybrid cooperative adaptive cruise control (eHCACC) strategy is proposed for an FCEV platoon, aiming to enhance energy-saving potential while ensuring stable car-following performance. The eHCACC employs a hybrid cooperative control architecture, consisting of a top-level centralized controller (TCC) and bottom-level distributed controllers (BDCs). The TCC integrates an eco-driving CACC (eCACC) strategy based on the minimum principle and random forest, which generates optimal reference velocity datasets by aligning the comprehensive control objectives of the platoon and addressing the car-following performance and economic efficiency of the platoon. Concurrently, to further unleash energy-saving potential, the BDCs utilize the equivalent consumption minimization strategy (ECMS) to determine optimal powertrain control inputs by combining the reference datasets with detailed optimization information and system states of the powertrain components. A series of simulation evaluations highlight the improved car-following stability and energy efficiency of the FCEV platoon.
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页数:23
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