Supercapacitor Assisted Hybrid Electric Vehicle Powertrain and Power Selection using Fuzzy Rule-Based Algorithm

被引:2
作者
Noh, Brayden
机构
来源
2020 AEIT INTERNATIONAL CONFERENCE OF ELECTRICAL AND ELECTRONIC TECHNOLOGIES FOR AUTOMOTIVE (AEIT AUTOMOTIVE) | 2020年
关键词
Hybrid electric vehicle; Supercapacitor; Fuzzy logic; Test vehicle; ENERGY-STORAGE SYSTEM; BATTERY; LIFE; INTEGRATION;
D O I
10.23919/aeitautomotive50086.2020.9307378
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
Heavy electric vehicles vary their power demands due to frequently varying loads. The paper proposes an applied fuzzy logic algorithm for the acceleration strategy of supercapacitor assisted electric vehicles, which selects the appropriate power source based on the vehicle power demand. The algorithm can determine the supercapacitor cutoff phase within 200 milliseconds with the developed test vehicle system during the initial vehicle acceleration based on the peak current and current slope. The system reduces battery stress by limiting transient power, improving the hybrid powertrain's longevity and efficiency.
引用
收藏
页数:5
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