Analysis of Control Behavior in Eco-Driving Speed Optimization Using Pontryagin’s Minimum Principle

Lyu, Shaowen; Yang, Liyue; Shen, Daliang; Han, Jihun; Karbowski, Dominik; Kim, Namwook

doi:10.1109/access.2024.3477716

Analysis of Control Behavior in Eco-Driving Speed Optimization Using Pontryagin’s Minimum Principle

Journal Article · Thu Oct 10 00:00:00 EDT 2024 · IEEE Access

DOI:https://doi.org/10.1109/access.2024.3477716· OSTI ID:2566194

^[1]; Yang, Liyue ^[1]; ^[2]; ^[2]; Karbowski, Dominik ^[2]; ^[1]

Hanyang University, Seoul (Korea, Republic of)
Argonne National Laboratory (ANL), Argonne, IL (United States)

The energy efficiency of autonomous vehicles can be improved by selecting an optimized speed profile. Energy savings can be maximized by performing control optimization with knowledge of the powertrain characteristics and future driving conditions. Previous studies have shown that Pontryagin’s minimum principle (PMP) performs well in vehicle speed optimization problems. Building on the methods proposed in previous studies, the contribution of this study is to derive meaningful observations from the concepts and results of PMP to enhance the understanding of the control problem. In particular, the switching behavior of the control mode is analyzed with supportive variables, such as ξ and mv, which dictates the changes in the control modes. Additionally, the existence of the singular control is analyzed, which helps in understanding the cruise driving in the control problem. Finally, we obtain several solutions that satisfy various boundary conditions along with a map of the reachable states, and discuss the impact of cruise driving. This is helpful for designing practical control concepts for real-world applications based on this map. Previous studies have contributed significantly to this control problem; however, this study provides a better understanding of the issue and offers guidance and inspiration for future real-world applications based on these meaningful observations.

View Accepted Manuscript (DOE)

Research Organization:: Argonne National Laboratory (ANL), Argonne, IL (United States)

Sponsoring Organization:: USDOE Office of Energy Efficiency and Renewable Energy (EERE), Office of Sustainable Transportation. Vehicle Technologies Office (VTO); National Research Foundation of Korea (NRF); Ministry of Trade, Industry and Energy (MOTIE); Ministry of Science & Information and Communication Technology (MSIT)

Grant/Contract Number:: AC02-06CH11357

OSTI ID:: 2566194

Journal Information:: IEEE Access, Journal Name: IEEE Access Vol. 12; ISSN 2169-3536

Publisher:: IEEECopyright Statement

Country of Publication:: United States

Language:: English

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