{"title":"Ecological Velocity Planning of Plug-in Hybrid Electric Bus Through Signalized Intersections","authors":"Ziqing Wang, M. Dridi, A. El Moudni","doi":"10.1109/ICCIKE51210.2021.9410762","DOIUrl":null,"url":null,"abstract":"This work focuses on the velocity planning problem for Plug-in Hybrid Electric Bus (PHEB). Based on communication with transportation infrastructures, the traffic information like Signal Phase and Times (SPaT) of traffic signals or stop time of bus stations over the entire route will be known precisely in advance. A spatial PHEB velocity optimization formulation with communication to traffic information is proposed to minimize the energy consumption or travel time. Two procedures are used for optimizing the objective, first, a State-of-Charge (SOC) curve is obtained from optimization with known road conditions for replacing empirical data to avoid the heavy computational duty of solving three-dimension dynamic programming. Then the optimized velocity profiles are calculated via a two-dimension dynamic programming model. Finally, the simulation results validate the energy savings and time savings of the proposed velocity planning strategy.","PeriodicalId":254711,"journal":{"name":"2021 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE)","volume":"13 1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCIKE51210.2021.9410762","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This work focuses on the velocity planning problem for Plug-in Hybrid Electric Bus (PHEB). Based on communication with transportation infrastructures, the traffic information like Signal Phase and Times (SPaT) of traffic signals or stop time of bus stations over the entire route will be known precisely in advance. A spatial PHEB velocity optimization formulation with communication to traffic information is proposed to minimize the energy consumption or travel time. Two procedures are used for optimizing the objective, first, a State-of-Charge (SOC) curve is obtained from optimization with known road conditions for replacing empirical data to avoid the heavy computational duty of solving three-dimension dynamic programming. Then the optimized velocity profiles are calculated via a two-dimension dynamic programming model. Finally, the simulation results validate the energy savings and time savings of the proposed velocity planning strategy.
本文主要研究插电式混合动力客车(PHEB)的速度规划问题。通过与交通基础设施的通信,可以提前准确了解整条路线上交通信号的相位和时间(Signal Phase and Times,简称spit)或公交车站停车时间等交通信息。提出了一种与交通信息通信的空间PHEB速度优化公式,以最大限度地降低能耗或行驶时间。优化目标采用两个步骤:首先,在已知路况条件下,通过优化得到荷电状态曲线(State-of-Charge, SOC),替换经验数据,避免了求解三维动态规划的繁重计算量;然后通过二维动态规划模型计算优化后的速度剖面。最后,仿真结果验证了所提出的速度规划策略的节能和省时效果。