Co-optimized Analytical Solution of Speed Planning and Energy Management for Automated Hybrid Electric Vehicles under Multi-Signal Intersections Scenario

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dc.contributor.authorZhang, Fengqi
dc.contributor.authorXiao, Lehua
dc.contributor.authorXie, Shaobo
dc.contributor.authorCoskun, Serdar
dc.contributor.authorGuo, Yingshi
dc.contributor.authorYang, Yalian
dc.contributor.authorHu, Xiaosong
dc.date.accessioned2025-03-17T12:22:52Z
dc.date.available2025-03-17T12:22:52Z
dc.date.issued2025
dc.departmentTarsus Üniversitesi
dc.description.abstractEco-driving is a viable technology with higher energy-saving potential at signalized intersections. The rapid development of connected and automated technology provides more opportunities for the eco-driving of hybrid electric vehicles (HEVs). However, it is more challenging to co-optimize speed planning and energy management due to their coupling and complex features. To this end, a co-optimization method of speed planning and energy management under multi-signal intersections scenario is proposed for automated HEV by obtaining an explicit optimal analytical solution. Firstly, considering the shifting behavior of a parallel HEV, a single-parameter gear-shifting model is adopted. Then, the co-optimization method is proposed, which consists of two steps. In the first step, the vehicle arrival time at signalized intersections is determined by calculating a vehicle reference speed. In the second step, the speed and powertrain energy management are co-optimized using the Pontryagin minimum principle by deriving an optimal analytical solution under multi-signal intersections. Finally, an iterative loop algorithm is utilized to compute the initial co-states, and the sensitivity analysis is conducted in this sequel. Simulation results demonstrate that the proposed co-optimization approach can greatly reduce the computational cost while maintaining satisfactory energy efficiency as compared with the widely-used dynamic programming method. © 2015 IEEE.
dc.identifier.doi10.1109/TTE.2025.3534789
dc.identifier.issn2332-7782
dc.identifier.scopus2-s2.0-85217070980
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://doi.org/10.1109/TTE.2025.3534789
dc.identifier.urihttps://hdl.handle.net/20.500.13099/1422
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.relation.ispartofIEEE Transactions on Transportation Electrification
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_Scopus_20250316
dc.subjecteco-driving
dc.subjectEnergy management
dc.subjecthybrid electric vehicles (HEV)
dc.subjectmulti-signal light
dc.subjectspeed planning
dc.titleCo-optimized Analytical Solution of Speed Planning and Energy Management for Automated Hybrid Electric Vehicles under Multi-Signal Intersections Scenario
dc.typeArticle

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