Control of a battery/supercapacitor hybrid energy storage system for electric vehicles

被引:0
|
作者
Zhang, Lijun [1 ]
Xia, Xiaohua [1 ]
Barzegar, Farshad [1 ]
机构
[1] Univ Pretoria, Dept Elect Elect & Comp Engn, ZA-0002 Pretoria, South Africa
关键词
Electric vehicle; hybrid energy storage system; power source coordination; model predictive control; power flow control; ECONOMIC EMISSION DISPATCH; POWER-FLOW MANAGEMENT; EFFICIENCY; OPTIMIZATION; STRATEGY; MODEL;
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
This study looks into the power flow control of a battery/supercapacitor hybrid energy storage system when applied to electric vehicles. The controller is based on advanced model predictive control method and aims at smoothing the power flow from/to the battery to protect it from undesirable fast discharging/charging. The second objective of the controller is to control the electric vehicle to track a predefined speed profile. The dynamics of the vehicle and the supercapacitors are modeled from first principles to facilitate the controller design. It is assumed that the battery, as the primary energy source for the vehicle, is properly sized such that there is no need to control its state-of-charge. In addition, the controller is designed at the energy management level instead of power electronics control level. Therefore, it severs to optimize the power flows of the hybrid energy storage system instead of controlling the power converters involved. Simulations based on two commonly used urban driving cycles are carried out to verify the effectiveness of the design.
引用
收藏
页码:9560 / 9565
页数:6
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