Predictive Rule Based Optimization Techniques for Series Hybrid Electric Vehicle

被引：0
|
作者：
Hacioglu, Ferit [1 ]
Altin, Ilke [1 ]
Aktekin, Ozgur [1 ]
Sakalli, Ahmet [1 ]
机构：
[1] AVL Res & Engn Turkey, Hybrid & Elect Vehicle Controls, Istanbul, Turkey
来源：
2017 25TH MEDITERRANEAN CONFERENCE ON CONTROL AND AUTOMATION (MED) | 2017年
关键词：
Energy Management; Series Hybrid Electric Vehicle; Fuzzy Logic; Predictive Control; ENERGY MANAGEMENT; FUEL CONSUMPTION; CONTROL STRATEGY;
D O I：
暂无
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 SHEV with a battery that is capable of supporting the maximum traction power demand is considered. Fuzzy logic is used to reduce the number of starts and increase system efficiency and component lifetime for SHEV in a predictive fashion. It has been shown that the predictive control using the future data for a short interval, can decrease the number of engine starts with a simple controller structure. Since the battery is capable of supporting the maximum traction power, the power split optimization is not considered, and the only aim is to reduce the number of engine starts in a drive cycle.
引用
收藏
页码：192 / 197
页数：6
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