An optimal power management strategy for power split plug-in hybrid electric vehicles

被引：25

作者：

Taghavipour, A. ^{[1
]}

Azad, N. L. ^{[1
]}

McPhee, J. ^{[1
]}

机构：

[1] Univ Waterloo, Dept Syst Design Engn, Waterloo, ON N2L 3G1, Canada

来源：

INTERNATIONAL JOURNAL OF VEHICLE DESIGN | 2012年 / 60卷 / 3-4期

关键词：

plug-in hybrid vehicles; power management strategy; model predictive control; dynamic programming; fuel consumption; ENERGY MANAGEMENT;

D O I：

10.1504/IJVD.2012.050085

中图分类号：

TH [机械、仪表工业];

学科分类号：

0802 ;

摘要：

Model Predictive Control (MPC) can be an interesting concept for designing a power management strategy for Hybrid Electric Vehicles (HEVs) according to its capability of online optimisation by receiving current information from the powertrain and handling hard constraints on such problems. In this paper, a power management strategy for a power split plug-in HEV is proposed using the concept of MPC to evaluate the effectiveness of this method on minimising the fuel consumption of those vehicles. Also, the results are compared with dynamic programming.

引用

页码：286 / 304

页数：19

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