LAPSE:2023.19717v1
Published Article

LAPSE:2023.19717v1
Development of an Adaptive Model Predictive Control for Platooning Safety in Battery Electric Vehicles
March 9, 2023
Abstract
The recent and continuous improvement in the transportation field provides several different opportunities for enhancing safety and comfort in passenger vehicles. In this context, Adaptive Cruise Control (ACC) might provide additional benefits, including smoothness of the traffic flow and collision avoidance. In addition, Vehicle-to-Vehicle (V2V) communication may be exploited in the car-following model to obtain further improvements in safety and comfort by guaranteeing fast response to critical events. In this paper, firstly an Adaptive Model Predictive Control was developed for managing the Cooperative ACC scenario of two vehicles; as a second step, the safety analysis during a cut-in maneuver was performed, extending the platooning vehicles’ number to four. The effectiveness of the proposed methodology was assessed for in different driving scenarios such as diverse cruising speeds, steep accelerations, and aggressive decelerations. Moreover, the controller was validated by considering various speed profiles of the leader vehicle, including a real drive cycle obtained using a random drive cycle generator software. Results demonstrated that the proposed control strategy was capable of ensuring safety in virtually all test cases and quickly responding to unexpected cut-in maneuvers. Indeed, different scenarios have been tested, including acceleration and deceleration phases at high speeds where the control strategy successfully avoided any collision and stabilized the vehicle platoon approximately 20−30 s after the sudden cut-in. Concerning the comfort, it was demonstrated that improvements were possible in the aggressive drive cycle whereas different scenarios were found in the random cycle, depending on where the cut-in maneuver occurred.
The recent and continuous improvement in the transportation field provides several different opportunities for enhancing safety and comfort in passenger vehicles. In this context, Adaptive Cruise Control (ACC) might provide additional benefits, including smoothness of the traffic flow and collision avoidance. In addition, Vehicle-to-Vehicle (V2V) communication may be exploited in the car-following model to obtain further improvements in safety and comfort by guaranteeing fast response to critical events. In this paper, firstly an Adaptive Model Predictive Control was developed for managing the Cooperative ACC scenario of two vehicles; as a second step, the safety analysis during a cut-in maneuver was performed, extending the platooning vehicles’ number to four. The effectiveness of the proposed methodology was assessed for in different driving scenarios such as diverse cruising speeds, steep accelerations, and aggressive decelerations. Moreover, the controller was validated by considering various speed profiles of the leader vehicle, including a real drive cycle obtained using a random drive cycle generator software. Results demonstrated that the proposed control strategy was capable of ensuring safety in virtually all test cases and quickly responding to unexpected cut-in maneuvers. Indeed, different scenarios have been tested, including acceleration and deceleration phases at high speeds where the control strategy successfully avoided any collision and stabilized the vehicle platoon approximately 20−30 s after the sudden cut-in. Concerning the comfort, it was demonstrated that improvements were possible in the aggressive drive cycle whereas different scenarios were found in the random cycle, depending on where the cut-in maneuver occurred.
Record ID
Keywords
Adaptive Model Predictive Control (AMPC), Battery Electric Vehicle (BEV), platoon, safety enhancement
Subject
Suggested Citation
Capuano A, Spano M, Musa A, Toscano G, Misul DA. Development of an Adaptive Model Predictive Control for Platooning Safety in Battery Electric Vehicles. (2023). LAPSE:2023.19717v1
Author Affiliations
Capuano A: Department of Mechanical and Aerospace Engineering (DIMEAS), Politecnico di Torino, 10125 Torino, Italy
Spano M: Department of Mechanical and Aerospace Engineering (DIMEAS), Politecnico di Torino, 10125 Torino, Italy; Center of Automotive Research and Sustainable Mobility (CARS), Politecnico di Torino, 10125 Torino, Italy [ORCID]
Musa A: Center of Automotive Research and Sustainable Mobility (CARS), Politecnico di Torino, 10125 Torino, Italy; Department of Energetic (DENERG), Politecnico di Torino, 10125 Torino, Italy [ORCID]
Toscano G: Teoresi S.p.A., 10125 Torino, Italy
Misul DA: Center of Automotive Research and Sustainable Mobility (CARS), Politecnico di Torino, 10125 Torino, Italy; Department of Energetic (DENERG), Politecnico di Torino, 10125 Torino, Italy
Spano M: Department of Mechanical and Aerospace Engineering (DIMEAS), Politecnico di Torino, 10125 Torino, Italy; Center of Automotive Research and Sustainable Mobility (CARS), Politecnico di Torino, 10125 Torino, Italy [ORCID]
Musa A: Center of Automotive Research and Sustainable Mobility (CARS), Politecnico di Torino, 10125 Torino, Italy; Department of Energetic (DENERG), Politecnico di Torino, 10125 Torino, Italy [ORCID]
Toscano G: Teoresi S.p.A., 10125 Torino, Italy
Misul DA: Center of Automotive Research and Sustainable Mobility (CARS), Politecnico di Torino, 10125 Torino, Italy; Department of Energetic (DENERG), Politecnico di Torino, 10125 Torino, Italy
Journal Name
Energies
Volume
14
Issue
17
First Page
5291
Year
2021
Publication Date
2021-08-26
ISSN
1996-1073
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Original Submission
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PII: en14175291, Publication Type: Journal Article
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LAPSE:2023.19717v1
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https://doi.org/10.3390/en14175291
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Mar 9, 2023
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