An Optimization Framework for Driver Feedback Systems

被引:50
作者
Malikopoulos, Andreas A. [1 ]
Aguilar, Juan P. [1 ]
机构
[1] Oak Ridge Natl Lab, Energy & Transportat Sci Div, Oak Ridge, TN 37831 USA
关键词
Driver information systems; fuel economy; optimization methods; transportation; vehicle driving; FUEL CONSUMPTION; VEHICLE; EMISSIONS;
D O I
10.1109/TITS.2013.2248058
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Modern vehicles have sophisticated electronic control units that can control engine operation with discretion to balance fuel economy, emissions, and power. These control units are designed for specific driving conditions (e. g., different speed profiles for highway and city driving). However, individual driving styles are different and rarely match the specific driving conditions for which the units were designed. In the research reported here, we investigate driving-style factors that have a major impact on fuel economy and construct an optimization framework to optimize individual driving styles with respect to these driving factors. In this context, we construct a set of polynomial metamodels to reflect the responses produced in fuel economy by changing the driving factors. Then, we compare the optimized driving styles to the original driving styles and evaluate the effectiveness of the optimization framework. Finally, we use this proposed framework to develop a real-time feedback system, including visual instructions, to enable drivers to alter their driving styles in response to actual driving conditions to improve fuel efficiency.
引用
收藏
页码:955 / 964
页数:10
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