Predictive Energy Management of a Power-Split Hybrid Electric Vehicle

被引:146
|
作者
Borhan, H. Ali [1 ]
Vahidi, Ardalan [1 ]
Phillips, Anthony M. [2 ]
Kuang, Ming L. [2 ]
Kolmanovsky, Ilya V. [2 ]
机构
[1] Clemson Univ, Clemson, SC 29634 USA
[2] Ford Motor Co, For Res & Adv Engn, Dearborn 48124, MI USA
关键词
D O I
10.1109/ACC.2009.5160451
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper, a Mo el re ictive Control M C strategy is evelope for t e first time to solve t e optimal energy management problem of power-split ybri electric ve icles. A power-split ybri combines t e a vantages of series an parallel ybri s by utilizing two electric mac ines an a combustion engine. ecause of its many mo es of operation, mo eling a power-split configuration is comple an evising a near-optimal power management strategy is quite c allenging. o systematically improve t e fuel economy of a power-split ybri, we formulate t e power management problem as a nonlinear optimization problem. e nonlinear powertrain mo el an t e constraints are linearize at eac sample time an a rece ing orizon linear M C strategy is employe to etermine t e power split ratio base on t e up ate mo el. Simulation results over multiple riving cycles in icate better fuel economy over conventional strategies can be ac ieve. In a ition I e propose algorit m is causal an as t e potential for real-time implementation.
引用
收藏
页码:3970 / +
页数:2
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