Fuel economy regression analyses for hybrid electric vehicle

被引：0
作者：
Minh V.T. [1 ]
Moezzi R. [1 ]
Owe I. [1 ]
机构：
[1] Department of Electrical Power Engineering and Mechatronics, Tallinn University of Technology, Ehitajate tee 5, Tallinn
来源：
European Journal of Electrical Engineering | 2018年 / 20卷 / 03期
关键词：
Drive cycle; Fuel consumption; Hybrid electric vehicle; Optimal model; Regression analyses;
D O I：
10.3166/EJEE.20.363-377
中图分类号：
学科分类号：
摘要：
This study analyses the modelling and simulation of different hybrid electric vehicles(HEV) from battery, DC to DC converter, electric motor and generator, operational modes, planetarygear, internal combustion engine, vehicle body, vehicle dynamics, and control system. Several HEVs are simulated based on different size on specific drive cycle, and fuel consumption is recorded for each. The optimized HEV is extracted from regression model calculated by MATLAB with different polynomial order. © 2018 Lavoisier
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页码：363 / 377
页数：14
相关论文
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