کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
1066103 | 948672 | 2012 | 7 صفحه PDF | دانلود رایگان |
![عکس صفحه اول مقاله: Forward power-train energy management modeling for assessing benefits of integrating predictive traffic data into plug-in-hybrid electric vehicles Forward power-train energy management modeling for assessing benefits of integrating predictive traffic data into plug-in-hybrid electric vehicles](/preview/png/1066103.png)
In this paper, a forward power-train plug-in hybrid electric vehicle model with an energy management system and a cycle optimization algorithm is evaluated for energy efficiency. Using wirelessly communicated predictive traffic data for vehicles in a roadway network, as envisioned in intelligent transportation systems, traffic prediction cycles are optimized using a cycle optimization strategy. This resulted in a 56–86% fuel efficiency improvements for conventional vehicles. When combined with the plug-in hybrid electric vehicle power management system, about 115% energy efficiency improvements were achieved. Further improvements in the overall energy efficiency of the network were achieved with increased penetration rates of the intelligent transportation assisted enabled plug-in hybrid electric vehicles.
► A forward power-train PHEV system was modeled.
► PHEV’s power management system utilizes traffic information to optimize consumption.
► A cycle optimization algorithm was implemented within the PHEV system.
► The network energy efficiency increased with increased PHEV penetration rates.
Journal: Transportation Research Part D: Transport and Environment - Volume 17, Issue 3, May 2012, Pages 201–207