Cooperative ecological adaptive cruise control for plug-in hybrid electric vehicle based on approximate dynamic programming

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dc.contributor.authorLi, Jie
dc.contributor.authorLiu, Yonggang
dc.contributor.authorFotouhi, Abbas
dc.contributor.authorWang, Xiangyu
dc.contributor.authorChen, Zheng
dc.contributor.authorZhang, Yuanjian
dc.contributor.authorLi, Liang
dc.date.accessioned2022-11-09T10:24:24Z
dc.date.available2022-11-09T10:24:24Z
dc.date.issued2022-10-26
dc.description.abstractEco-driving control generates significant energy-saving potential in car-following scenarios. However, the influence of preceding vehicle may impose unnecessary velocity waves and deteriorate fuel economy. In this research, a learning-based method is exploited to achieve satisfied fuel economy for connected plug-in hybrid electric vehicles (PHEVs) with the advantage of vehicle-to-vehicle communication system. A data-driven energy consumption model is leveraged to generate reinforcement signals for approximate dynamic programming (ADP) with the consideration of nonlinear efficiency characteristics of hybrid powertrain system. An advanced ADP scheme is designed for connected PHEVs driving in car-following scenarios. Additionally, the cooperative information is incorporated to further improve the fuel economy of the vehicle under the premise of driving safety. The proposed method is mode-free and showcases acceptable computational efficiency as well as adaptability. The simulation results demonstrate that the fuel economy during car-following processes is remarkably improved through cooperative driving information, thereby partially paving the theoretical basis for energy-saving transportation.en_UK
dc.identifier.citationLi J, Liu Y, Fotouhi A, et al., (2023) Cooperative ecological adaptive cruise control for plug-in hybrid electric vehicle based on approximate dynamic programming. IEEE Transactions on Vehicular Technology, Volume 72, Issue 3, March 2023, pp. 3132-3145en_UK
dc.identifier.issn0018-9545
dc.identifier.urihttps://doi.org/10.1109/TVT.2022.3217354
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/18687
dc.language.isoenen_UK
dc.publisherIEEEen_UK
dc.rightsAttribution-NonCommercial 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/*
dc.subjectEco-drivingen_UK
dc.subjectcooperative adaptive cruise controlen_UK
dc.subjectvelocity optimizationen_UK
dc.subjectapproximate dynamic programmingen_UK
dc.subjectplug-in hybrid electric vehicleen_UK
dc.titleCooperative ecological adaptive cruise control for plug-in hybrid electric vehicle based on approximate dynamic programmingen_UK
dc.typeArticleen_UK

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