Coordinated control of heterogeneous vehicle platoon stability and energy-saving control strategies

Z. C. He; H. Kang; Eric Li; E. L. Zhou; H. T. Cheng; Y. Y. Huang

doi:10.1016/j.physa.2022.128155

Coordinated control of heterogeneous vehicle platoon stability and energy-saving control strategies

Z. C. He, H. Kang, Eric Li, E. L. Zhou, H. T. Cheng, Y. Y. Huang

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3 Citations (Scopus)

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Abstract

This work presents an overall control strategy for heterogeneous vehicle platoons to minimize energy consumption and improve transportation efficiency by sustaining the string stability of the platoon on signalized arterials under external perturbations. First, the stability criterion is derived by analyzing the string stability of multi-time-lag heterogeneous platoon based on the intelligent driver model (IDM). The optimal model of vehicle platoon consumption is reconstructed to reduce the optimization variables to simplify the solution process. Then, by combining the reconstructed optimal control model with stability, a stable eco-driving model is established for a heterogeneous vehicle platoon consisting of multiple purely electric intelligent connected vehicles (ICVs) and human-driven vehicles (HVs). The overall speed control strategy is proposed by combining the vehicle platoon stability and energy consumption for nonlinear optimization analysis. The platoon is made to pass through the signal intersection with the highest efficiency and the lowest energy consumption to achieve a balance of stability and energy saving. Third, the overall model is optimally solved by a global optimization algorithm, and the numerical simulation has clearly validated the performance of the proposed driving control strategy.

Original language	English
Article number	128155
Number of pages	15
Journal	Physica A: Statistical Mechanics and its Applications
Volume	606
Early online date	5 Sept 2022
DOIs	https://doi.org/10.1016/j.physa.2022.128155
Publication status	Published - 15 Nov 2022

Bibliographical note

Funding Information:
The project is supported by the National Natural Science Foundation of China (Grant No. 52172357 ), Science Foundation of Hunan Province, PR China (Grant No. 2021JJ10016 ), Key Research and Development Program of Hunan Province, PR China (Grant No. 2020GK4062 and 2020GK2094 ) and National Science and Technology Ministry, PR China (Gant No. G2022160016L ). This work is also supported by Guangxi Distinguished Experts Project.

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© 2022

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title = "Coordinated control of heterogeneous vehicle platoon stability and energy-saving control strategies",

abstract = "This work presents an overall control strategy for heterogeneous vehicle platoons to minimize energy consumption and improve transportation efficiency by sustaining the string stability of the platoon on signalized arterials under external perturbations. First, the stability criterion is derived by analyzing the string stability of multi-time-lag heterogeneous platoon based on the intelligent driver model (IDM). The optimal model of vehicle platoon consumption is reconstructed to reduce the optimization variables to simplify the solution process. Then, by combining the reconstructed optimal control model with stability, a stable eco-driving model is established for a heterogeneous vehicle platoon consisting of multiple purely electric intelligent connected vehicles (ICVs) and human-driven vehicles (HVs). The overall speed control strategy is proposed by combining the vehicle platoon stability and energy consumption for nonlinear optimization analysis. The platoon is made to pass through the signal intersection with the highest efficiency and the lowest energy consumption to achieve a balance of stability and energy saving. Third, the overall model is optimally solved by a global optimization algorithm, and the numerical simulation has clearly validated the performance of the proposed driving control strategy.",

author = "He, {Z. C.} and H. Kang and Eric Li and Zhou, {E. L.} and Cheng, {H. T.} and Huang, {Y. Y.}",

note = "Funding Information: The project is supported by the National Natural Science Foundation of China (Grant No. 52172357 ), Science Foundation of Hunan Province, PR China (Grant No. 2021JJ10016 ), Key Research and Development Program of Hunan Province, PR China (Grant No. 2020GK4062 and 2020GK2094 ) and National Science and Technology Ministry, PR China (Gant No. G2022160016L ). This work is also supported by Guangxi Distinguished Experts Project. Publisher Copyright: {\textcopyright} 2022",

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AU - He, Z. C.

AU - Kang, H.

AU - Li, Eric

AU - Zhou, E. L.

AU - Cheng, H. T.

AU - Huang, Y. Y.

N1 - Funding Information: The project is supported by the National Natural Science Foundation of China (Grant No. 52172357 ), Science Foundation of Hunan Province, PR China (Grant No. 2021JJ10016 ), Key Research and Development Program of Hunan Province, PR China (Grant No. 2020GK4062 and 2020GK2094 ) and National Science and Technology Ministry, PR China (Gant No. G2022160016L ). This work is also supported by Guangxi Distinguished Experts Project. Publisher Copyright: © 2022

PY - 2022/11/15

Y1 - 2022/11/15

N2 - This work presents an overall control strategy for heterogeneous vehicle platoons to minimize energy consumption and improve transportation efficiency by sustaining the string stability of the platoon on signalized arterials under external perturbations. First, the stability criterion is derived by analyzing the string stability of multi-time-lag heterogeneous platoon based on the intelligent driver model (IDM). The optimal model of vehicle platoon consumption is reconstructed to reduce the optimization variables to simplify the solution process. Then, by combining the reconstructed optimal control model with stability, a stable eco-driving model is established for a heterogeneous vehicle platoon consisting of multiple purely electric intelligent connected vehicles (ICVs) and human-driven vehicles (HVs). The overall speed control strategy is proposed by combining the vehicle platoon stability and energy consumption for nonlinear optimization analysis. The platoon is made to pass through the signal intersection with the highest efficiency and the lowest energy consumption to achieve a balance of stability and energy saving. Third, the overall model is optimally solved by a global optimization algorithm, and the numerical simulation has clearly validated the performance of the proposed driving control strategy.

AB - This work presents an overall control strategy for heterogeneous vehicle platoons to minimize energy consumption and improve transportation efficiency by sustaining the string stability of the platoon on signalized arterials under external perturbations. First, the stability criterion is derived by analyzing the string stability of multi-time-lag heterogeneous platoon based on the intelligent driver model (IDM). The optimal model of vehicle platoon consumption is reconstructed to reduce the optimization variables to simplify the solution process. Then, by combining the reconstructed optimal control model with stability, a stable eco-driving model is established for a heterogeneous vehicle platoon consisting of multiple purely electric intelligent connected vehicles (ICVs) and human-driven vehicles (HVs). The overall speed control strategy is proposed by combining the vehicle platoon stability and energy consumption for nonlinear optimization analysis. The platoon is made to pass through the signal intersection with the highest efficiency and the lowest energy consumption to achieve a balance of stability and energy saving. Third, the overall model is optimally solved by a global optimization algorithm, and the numerical simulation has clearly validated the performance of the proposed driving control strategy.

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Coordinated control of heterogeneous vehicle platoon stability and energy-saving control strategies

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