Real-time optimization power-split strategy for hybrid electric vehicles

被引:18
|
作者
Xia ChaoYing [1 ]
Zhang Cong [1 ]
机构
[1] Tianjin Univ, Inst Elect Engn & Automat, Tianjin 300072, Peoples R China
关键词
hybrid electric vehicle (HEV); linear quadratic optimal control; real-time control; energy management strategy; CONSUMPTION MINIMIZATION STRATEGY; PONTRYAGINS MINIMUM PRINCIPLE; ENERGY MANAGEMENT STRATEGY; PMP-BASED CONTROL; REALIZATION;
D O I
10.1007/s11431-015-5998-6
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Energy management strategies based on optimal control theory can achieve minimum fuel consumption for hybrid electric vehicles, but the requirement for driving cycles known in prior leads to a real-time problem. A real-time optimization power-split strategy is proposed based on linear quadratic optimal control. The battery state of charge sustainability and fuel economy are ensured by designing a quadratic performance index combined with two rules. The engine power and motor power of this strategy are calculated in real-time based on current system state and command, and not related to future driving conditions. The simulation results in ADVISOR demonstrate that, under the conditions of various driving cycles, road slopes and vehicle parameters, the proposed strategy significantly improves fuel economy, which is very close to that of the optimal control based on Pontryagin's minimum principle, and greatly reduces computation complexity.
引用
收藏
页码:814 / 824
页数:11
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