A Wavelet-Fuzzy Power Allocation Strategy of Battery-Supercapacitor Hybrid System for Electric Vehicles

被引：0
|
作者：
Wei, Baolei [1 ,2 ]
Ding, Shichuan [1 ,2 ]
Fang, Jie [1 ]
Hang, Jun [1 ,2 ]
Wang, Qunjing [2 ]
机构：
[1] Anhui Univ, Sch Elect Engn & Automat, Hefei, Anhui, Peoples R China
[2] Anhui Univ, Natl Engn Lab Energy Saving Motor & Control Techn, Hefei, Anhui, Peoples R China
来源：
PROCEEDINGS OF THE 2018 13TH IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS (ICIEA 2018) | 2018年
基金：
中国国家自然科学基金;
关键词：
Wavelet-fuzzy power allocation strategy; battery; supercapacitor; Electric vehicles; ENERGY MANAGEMENT; FUEL-CELL; MACHINE;
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：
A wavelet-fuzzy power allocation strategy of battery-supercapacitor hybrid energy store system(HESS) for electric vehicles is proposed in this paper. In the proposed strategy, wavelet decomposition decouples the transient dynamics power, while the fuzzy controller carries on the secondary distribution of load power between the two energy sources, according to energy levels of the power sources and load demand level. Compared with the traditional method using wavelet decomposition only, this strategy can effectively reduce the consumption of the battery, prolong the battery lifetime and adjust the state of charge (SOC) of supercapacitor. The simulation is performed on an IM240 driving cycle, and the results show the effectiveness of the control strategy.
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页码：2095 / 2099
页数：5
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