A review of vehicle fuel consumption models to evaluate eco-driving and eco-routing
A review of vehicle fuel consumption models to evaluate eco-driving and eco-routing
复制标题
回顾车辆燃油消耗模型以评估生态驾驶和生态路线
DOI：
10.1016/j.trd.2016.09.008
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发表时间：
2016-12
影响因子：
7.6
通讯作者：
Wang Wenshuo
中科院分区：
文献类型：
--
作者：
Zhou Min;Jin Hui;Wang Wenshuo
燃料消耗模型已被广泛用于预测燃料消耗和评估新的车辆技术。然而，由于燃料系统的不确定性和高度非线性，很难开发一个准确的燃料消耗模型进行实时计算。此外，开发的燃料消耗模型是否适合生态路由和生态驾驶系统是未知的。为了解决这些问题，燃料消耗模型和影响燃料经济性的因素进行了系统的审查。首先，讨论了影响燃油经济性的主要因素，包括旅行相关因素、天气相关因素、车辆相关因素、道路相关因素、交通相关因素和驾驶员相关因素。然后，总结了2000年以后开发的最先进的燃料消耗模型，并根据透明度将其分为三大类型，即，白盒、灰盒和黑盒模型。因此，燃料消耗建模的局限性和潜在的可能性在本次审查中强调。
Fuel consumption models have been widely used to predict fuel consumption and evaluate new vehicle technologies. However, due to the uncertainty and high nonlinearity of fuel systems, it is difficult to develop an accurate fuel consumption model for real-time calculations. Additionally, whether the developed fuel consumption models are suitable for eco-routing and eco-driving systems is unknown. To address these issues, a systematic review of fuel consumption models and the factors that influence fuel economy is presented. First, the primary factors that affect fuel economy, including travel-related, weather-related, vehicle-related, roadway-related, traffic-related, and driver-related factors, are discussed. Then, state-of-the-art fuel consumption models developed after 2000 are summarized and classified into three broad types based on transparency, i.e., white-box, grey-box and black-box models. Consequently, the limitations and potential possibilities of fuel consumption modelling are highlighted in this review.
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DOI：
10.1115/1.2896525
发表时间：
1992-06
影响因子：
1.7
作者：
J. Moskwa;J. Hedrick
通讯作者：
J. Moskwa;J. Hedrick
DOI：
10.1109/itst.2006.288906
发表时间：
2006-06
期刊：
2006 6th International Conference on ITS Telecommunications
影响因子：
--
作者：
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通讯作者：
M. Sanchez;Juan-Carlos Cano;Dongkyun Kim
DOI：
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发表时间：
1979
期刊：
--
影响因子：
--
作者：
M. Renouf
通讯作者：
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DOI：
10.4028/www.scientific.net/amm.492.3
发表时间：
2014-01
期刊：
Applied Mechanics and Materials
影响因子：
--
作者：
A. Amer;A. Abdalla;A. Noraziah;Ainul Azila Che Fauzi
通讯作者：
A. Amer;A. Abdalla;A. Noraziah;Ainul Azila Che Fauzi
影响因子：
5.1
作者：
M. Lindgren
通讯作者：
M. Lindgren