计算机科学
超级电容器
汽车工程
电池(电)
能源管理
动力传动系统
缩小
燃料效率
电动汽车
功率(物理)
能源消耗
小波
小波变换
电能消耗
能量(信号处理)
电气工程
电能
工程类
扭矩
人工智能
电化学
电极
数学
程序设计语言
化学
热力学
物理化学
量子力学
物理
统计
作者
Fazhan Tao,Longlong Zhu,Baofeng Ji,Pengju Si,Zhumu Fu
摘要
In this paper, an energy management strategy for electric vehicles equipped with fuel cell (FC), battery (BAT), and supercapacitor (SC) is considered, aiming at improving the whole performance under a framework of vehicle to network application. In detail, based on wavelet transform and equivalent consumption minimization strategy (ECMS), the demand power of vehicles is optimized to enhance the lifespan of fuel cell, fuel economy, and dynamic performance of electric vehicles. The wavelet transform is used to separate the high-frequency power in order to provide a peak power and recycle the braking energy. The equivalent consumption minimization strategy is used to distribute the low-frequency power to fuel cell and battery for minimizing the hydrogen consumption. Obtained results are studied using an advanced vehicle simulator, and its effectiveness of the strategy is confirmed, which provides a fundamental control method for the IOV application.
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