Combined Eco-Routing and Power-Train Control of Plug-In Hybrid Electric Vehicles in Transportation Networks

被引：4
|
作者：
Houshmand, Arian [1 ]
Cassandras, Christos G. [1 ]
Zhou, Nan [1 ]
Hashemi, Nasser [1 ]
Li, Boqi [2 ]
Peng, Huei [2 ]
机构：
[1] Boston Univ, Div Syst Engn, Boston, MA 02446 USA
[2] Univ Michigan, Dept Mech Engn, Ann Arbor, MI 48109 USA
来源：
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS | 2022年 / 23卷 / 08期
关键词：
Energy consumption; Batteries; Fuels; Routing; Urban areas; Directed graphs; Torque; Vehicle routing; traffic control; energy management; intelligent vehicles; PATTERNS;
D O I：
10.1109/TITS.2021.3102496
中图分类号：
TU [建筑科学];
学科分类号：
0813 ;
摘要：
We study the problem of eco-routing for Plug-In Hybrid Electric Vehicles (PHEVs) to minimize the overall energy consumption cost. We propose an algorithm which can simultaneously calculate an energy-optimal route (eco-route) for a PHEV and an optimal power-train control strategy over this route. In order to show the effectiveness of our method in practice, we use a HERE Maps API to apply our algorithms based on traffic data in the city of Boston with more than 110,000 links. Moreover, we validate the performance of our eco-routing algorithm using speed profiles collected from a traffic simulator (SUMO) as input to a high-fidelity energy model to calculate energy consumption costs. Our results show significant energy savings (around 12%) for PHEVs with a near real-time execution time for the algorithm.
引用
收藏
页码：11287 / 11300
页数：14
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