Hybrid Modeling and Predictive Control of the Power Split and Gear Shift in Hybrid Electric Vehicles

被引：0

作者：

Li, Guoqiang ^{[1
]}

Goerges, Daniel ^{[1
]}

机构：

[1] Univ Kaiserslautern, Dept Elect & Comp Engn, Electromobil, Erwin Schrodinger Str 12, D-67663 Kaiserslautern, Germany

来源：

2017 IEEE VEHICLE POWER AND PROPULSION CONFERENCE (VPPC) | 2017年

关键词：

ENERGY MANAGEMENT; CONTROL STRATEGY; FUEL-ECONOMY; OPTIMIZATION; ALGORITHM; TOOL;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

In this paper a hybrid model predictive control (HMPC) strategy for hybrid electric vehicles (HEVs) is proposed for joint optimization of the power split control between the engine and the electric motor together with the gear shift control. A switched affine system is introduced to represent the vehicle dynamics under different gear ratios. The nonlinear engine characteristics are described by a piecewise affine system. The HMPC problem is then formulated as a mixed integer quadratic programming problem. Simulation results show that the developed strategy can not only decrease the total fuel consumption compared to a rule-based strategy, but can also be applied online.

引用

页数：6

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